CN102541015B - Intelligent energy efficiency control system and method - Google Patents

Abstract

The invention is suitable for the technical field of energy conservation and provides an intelligent energy efficiency control system. The system comprises a data acquisition device which is used for acquiring the operation parameter data of an energy using terminal according to a preset data acquisition cycle, an energy efficiency data processing server which is used for receiving the operation parameter data of the energy using terminal, which is acquired by the data acquisition device, calculating the energy efficiency value of the energy using terminal according to a predetermined energy efficiency calculation model and the environment model of the terminal, and transmitting the energy efficiency value to a control server, the control server which is used for outputting an optimization policy according to the energy efficiency value of the energy using terminal, which is transmitted by the data processing server, and terminal energy efficiency stored in a decision knowledge library, and outputting an energy source output control signal to the energy using terminal, the decision knowledge library which is used for providing the terminal energy efficiency output optimization policy for the control server, and an energy source output control device which is used for controlling the energy using terminal to output an energy source according to the energy source output control signal transmitted by the control server. Therefore, the energy source utilization rate is improved.

Description

A kind of Intelligent energy efficiency control system and method

Technical field

The invention belongs to field of energy-saving technology, relate in particular to a kind of Intelligent energy efficiency control system and method.

Background technology

Existing public building great majority before China's eighties of last century the nineties are not installed building automation system (BAS), if building automation system is installed now, can be subject to the objective factors impact such as place, time and can't construct, or with can ageing equipment causing device parameter deviation to occur and be difficult to demarcate reasons such as controlling accurately parameter and cause robot control system(RCS) to be difficult to realization.

In addition, the operational management operator on duty level of building engineering department is uneven, there is no metering system, the operational management personnel can't judge that central air conditioner, illumination, elevator, office electricity consumption equal energy source flow to and system energy efficiency in addition, and the energy-saving run management can't effectively be carried out.

In the face of above present situation, need to propose energy efficiency management system and the method for a set of satisfied Chinese equipment actuality and present construction of personnel, improve to greatest extent the utilization factor of the energy.

Summary of the invention

The purpose of the embodiment of the present invention is to provide a kind of Intelligent energy efficiency control system, is intended to solve because prior art can't provide a kind of effective energy efficiency control system, causes building the low problem of interior efficiency of energy utilization.

The embodiment of the present invention is to realize like this, a kind of Intelligent energy efficiency control system, described Intelligent energy efficiency control system is for building cooling plant equipment and pipe system, described building cooling plant equipment and pipe system comprise refrigerating water pump, cooling pump, handpiece Water Chilling Units, cooling tower, air-treatment end equipment and central air conditioner system, and described Intelligent energy efficiency control system comprises:

Data collector, the operational parameter data for the data collection cycle collection according to default by the energy terminal;

The efficiency data processing server, the operational parameter data by the energy terminal gathered for receiving described data collector, according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server;

Control Server, for according to described efficiency data processing server, send over by efficiency value that can terminal and the terminal efficiency output optimisation strategy of DECISION KNOWLEDGE library storage, to terminal sending energy output control signal;

Decision knowledge base, for providing terminal efficiency output optimisation strategy to Control Server; And

Energy output-controlling device, for the energy output control signal sent according to described Control Server, control with the energy terminal output energy;

Described predetermined efficiency computation model comprises:

The comprehensive energy efficiency model of i refrigerating water pump:

wherein, Q _ibe the flow of i refrigerating water pump, Δ p _ipass in and out the pressure differential of i refrigerating water pump, Ni, the input electric power that in is i refrigerating water pump;

The comprehensive energy efficiency model of i cooling pump:

wherein, Q _cibe the flow of i cooling pump, Δ p _cifor passing in and out the pressure differential of i cooling pump, Nci, the input electric power that in is i cooling pump;

The efficiency model of i platform handpiece Water Chilling Units is: ${\mathrm{COP}}_{\mathrm{Zi}}=\frac{\mathrm{\ρ}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{N_{\mathrm{Zin},i}},$ ρ is chilled water density; Q _ibe the flow of i refrigerating water sets, C _pspecific heat at constant pressure for water; (TE _{in, i}-TE _{out, i}) for passing in and out the temperature difference of i platform handpiece Water Chilling Units evaporator, N _zinfor input electric power;

The total energy effect model of cooling tower is: ${\mathrm{EER}}_{\mathrm{CT}}=\frac{\mathrm{\Σ\ρ}{Q}_{\mathrm{ci}}{C}_p({\mathrm{TE}}_{\mathrm{cin}}-{\mathrm{TE}}_{\mathrm{cout}})}{\mathrm{\Σ}{N}_{\mathrm{CTin},i}},$ Wherein, ρ is chilled water density; Q _cibe the flow of i cooling pump, C _pspecific heat at constant pressure for water; , (TE _cin-TE _cout) be the total supply backwater temperature difference of chilled water, N _{cTin, i}the input electric power of i platform cooling tower;

The efficiency model of all end equipments that put into operation is: wherein, ρ is chilled water density; Q _ibe the flow of i end equipment, C _pspecific heat at constant pressure for water; , (TE _{in, i}-TE _{out, i}) be the total supply backwater temperature difference of chilled water, N _{aHUin, i}it is the input electric power of i end equipment;

The total energy effect model of central air conditioner system is: ${\mathrm{EER}}_T=\frac{{\mathrm{\ΣQ}}_{0i}}{\mathrm{\Σ}{N}_{\mathrm{Zin},i}+\mathrm{\Σ}{N}_{i,\mathrm{in}}+\mathrm{\Σ}{N}_{\mathrm{ci},\mathrm{in}}+\mathrm{\Σ}{N}_{\mathrm{AHUin},i}+\mathrm{\Σ}{N}_{\mathrm{CTi},\mathrm{in}}},$ Wherein, Q _0ifor the cold that provides of handpiece Water Chilling Units to i operation.

Another purpose of the embodiment of the present invention is to provide a kind of efficiency intelligent control method based on above-mentioned Intelligent energy efficiency control system, described Intelligent energy efficiency control system is for building cooling plant equipment and pipe system, described building cooling plant equipment and pipe system comprise refrigerating water pump, cooling pump, handpiece Water Chilling Units, cooling tower, air-treatment end equipment and central air conditioner system, and described method comprises the steps:

Data collector according to default data collection cycle collection with operational parameter data that can terminal and send to the efficiency data processing server;

The efficiency data processing server receives the operational parameter data by the energy terminal that described data collector gathers, environmental model according to predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server;

The terminal efficiency output optimisation strategy of the efficiency value by the energy terminal that Control Server sends over according to described efficiency data processing server and DECISION KNOWLEDGE library storage, export control signal to by the energy terminal, sending the energy;

The energy output control signal that energy output-controlling device sends according to described Control Server, control with the energy terminal output energy;

Described predetermined efficiency computation model comprises:

The comprehensive energy efficiency model of i refrigerating water pump: wherein, Q _ibe the flow of i refrigerating water pump, Δ p _ipass in and out the pressure differential of i refrigerating water pump, Ni, the input electric power that in is i refrigerating water pump;

The comprehensive energy efficiency model of i cooling pump:

wherein, Q _cibe the flow of i cooling pump, Δ p _cifor passing in and out the pressure differential of i cooling pump, Nci, the input electric power that in is i cooling pump;

The efficiency model of i platform handpiece Water Chilling Units is: ${\mathrm{COP}}_{\mathrm{Zi}}=\frac{\mathrm{\ρ}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{N_{\mathrm{Zin},i}},$ ρ is chilled water density; Q _ibe the flow of i refrigerating water sets, C _pspecific heat at constant pressure for water; (TE _{in, i}-TE _{out, i}) for passing in and out the temperature difference of i platform handpiece Water Chilling Units evaporator, N _zinfor input electric power;

The total energy effect model of cooling tower is: ${\mathrm{EER}}_{\mathrm{CT}}=\frac{\mathrm{\Σ\ρ}{Q}_{\mathrm{ci}}{C}_p({\mathrm{TE}}_{\mathrm{cin}}-{\mathrm{TE}}_{\mathrm{cout}})}{\mathrm{\Σ}{N}_{\mathrm{CTin},i}},$ Wherein, ρ is chilled water density; Q _cibe the flow of i cooling pump, C _pspecific heat at constant pressure for water; , (TE _cin-TE _cout) be the total supply backwater temperature difference of chilled water, N _{cTin, i}the input electric power of i platform cooling tower;

The efficiency model of all end equipments that put into operation is: wherein, ρ is chilled water density; Q _ibe the flow of i end equipment, C _pspecific heat at constant pressure for water; , (TE _{in, i}-TE _{out, i}) be the total supply backwater temperature difference of chilled water, N _{aHUin, i}it is the input electric power of i end equipment;

The total energy effect model of central air conditioner system is: ${\mathrm{EER}}_T=\frac{{\mathrm{\ΣQ}}_{0i}}{\mathrm{\Σ}{N}_{\mathrm{Zin},i}+\mathrm{\Σ}{N}_{i,\mathrm{in}}+\mathrm{\Σ}{N}_{\mathrm{ci},\mathrm{in}}+\mathrm{\Σ}{N}_{\mathrm{AHUin},i}+\mathrm{\Σ}{N}_{\mathrm{CTi},\mathrm{in}}},$ Wherein, Q _0ifor the cold that provides of handpiece Water Chilling Units to i operation.

The operational parameter data of energy terminal for the Intelligent energy efficiency control system timing acquiring that the embodiment of the present invention forms by data collector, efficiency data processing server, Control Server, decision knowledge base and the energy output-controlling device provided, environmental model according to predetermined efficiency computation model and terminal, calculate the efficiency value by the energy terminal, terminal efficiency output optimisation strategy according to the DECISION KNOWLEDGE library storage, to send energy output control signal by the energy terminal, control with terminal exporting the energy, thereby improved the utilization ratio of the energy.

The accompanying drawing explanation

Fig. 1 is the structural drawing of the Intelligent energy efficiency control system that provides of the embodiment of the present invention one;

Fig. 2 is the structural drawing of the Intelligent energy efficiency control system that provides of the embodiment of the present invention two;

Fig. 3 is the structural drawing of the Intelligent energy efficiency control system that provides of the embodiment of the present invention three;

Fig. 4 is the structure example figure of the Intelligent energy efficiency control system that provides of the embodiment of the present invention three;

Fig. 5 is the process flow diagram of the efficiency intelligent control method that provides of the embodiment of the present invention four;

Fig. 6 is building cooling plant equipment and the pipe system schematic diagram that the embodiment of the present invention four provides.

Embodiment

In order to make purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.

Below in conjunction with specific embodiment, specific implementation of the present invention is described in detail:

embodiment mono-:

Fig. 1 shows the structure of the Intelligent energy efficiency control system that the embodiment of the present invention one provides, for convenience of explanation, only show the part relevant to the embodiment of the present invention, this system comprises data collector 11, efficiency data processing server 12, Control Server 13, decision knowledge base 14 and energy output-controlling device 15, wherein:

Data collector 11, the operational parameter data for the data collection cycle collection according to default by the energy terminal.

In embodiments of the present invention, the operational parameter data of terminal has reflected the energy output valve by the energy terminal, particularly, for example, the data such as refrigeration value that the energy output valve of air-conditioning equipment can be exported by air-conditioning equipment mean, the cold that handpiece Water Chilling Units can provide by it means, because efficiency can be along with season, time in one day, the difference of the environmental factors such as situation of building, in one day, the operational parameter data of same time collection may have larger difference, in order effectively to improve the utilization ratio of the energy, should dynamically adjust energy output according to different time, therefore, data collection cycle need to be set exactly, in embodiments of the present invention, can determine by data mining technology the collection period of operational parameter data, particularly, actual operation parameters data with terminal, the energy value consumed, the efficiency value is as input, acquisition time is as output, pass through data mining technology, neural network for example, the collection period of definite operational parameter data such as genetic algorithm and traditional decision-tree, thereby improve the accuracy of energy output acquisition time, improve the accuracy that energy output is controlled.

Efficiency data processing server 12, the operational parameter data by the energy terminal gathered for receiving described data collector 11, according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server.

In the invention process row, the operational parameter data by the energy terminal that efficiency data processing server 12 gathers for receiving described data collector 11, environmental model according to predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server.

Particularly, the environmental model of terminal refers to the efficiency of terminal building of living in or floor structure, energy transfer canal, the environmental parameter (comprising outdoor temperature, humidity etc.) of default data collection cycle, and the efficiency computation model refers to for calculating with computation model that can the terminal efficiency.After the operational parameter data by the energy terminal that receives described data collector 11 collections, efficiency data processing server 12 is according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, particularly, can be using the weights of the relevant parameter in the efficiency computation model of the parameters in the terminal environments model, thus efficiency value preparatory of terminal is provided.Wherein the efficiency computation model can be determined according to the difference of terminal.

Control Server 13, for according to described efficiency data processing server 12, send over by efficiency value that can terminal and the terminal efficiency output optimisation strategy of DECISION KNOWLEDGE library storage, to terminal sending energy output control signal.

In embodiments of the present invention, Control Server 13 for according to described efficiency data processing server 12, send over by efficiency value that can terminal and the terminal efficiency output optimisation strategy of decision knowledge base 14 storages, to with can terminal sending energy output control signal, wherein energy output control signal can be energy output time (being the start-up time of terminal), output order (boot sequence of terminal), the energy output valve in the time period etc.

Decision knowledge base 14, for providing terminal efficiency output optimisation strategy to Control Server 13.

In embodiments of the present invention, decision knowledge base 14 has been stored series of rules to export for definite energy, particularly, the efficiency value that described rule can be inputted according to the efficiency data processing server, the specified efficiency of terminal, terminal environments parameter etc., determine energy output, comprise energy output valve in energy output time (being the start-up time of terminal), output order (boot sequence of terminal), time period etc., at this not in order to limit the present invention.

Energy output-controlling device 15, with the energy output control signal for sending according to described Control Server 13, control with the energy terminal output energy.

In embodiments of the present invention, the operational parameter data of energy terminal for the Intelligent energy efficiency control system timing acquiring formed by data collector, efficiency data processing server, Control Server, decision knowledge base and the energy output-controlling device provided, environmental model according to predetermined efficiency computation model and terminal, calculate the efficiency value by the energy terminal, terminal efficiency output optimisation strategy according to the DECISION KNOWLEDGE library storage, to send energy output control signal by the energy terminal, control with terminal exporting the energy, thereby improved the utilization ratio of the energy.

embodiment bis-:

Fig. 2 shows the structure of the Intelligent energy efficiency control system that the embodiment of the present invention two provides, and for convenience of explanation, only shows the part relevant to the embodiment of the present invention, comprising:

This system comprises data collector 11, efficiency data processing server 12, Control Server 13, decision knowledge base 14 and energy output-controlling device 15, wherein:

Data collector 11, the operational parameter data for the data collection cycle collection according to default by the energy terminal.

Efficiency data processing server 12, the operational parameter data by the energy terminal gathered for receiving described data collector 11, according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server.

Control Server 13, with the terminal efficiency output optimisation strategy of the efficiency value by the energy terminal for sending over according to described efficiency data processing server 12 and DECISION KNOWLEDGE library storage, export control signal to by the energy terminal, sending the energy.

Decision knowledge base 14, for providing terminal efficiency output optimisation strategy to Control Server 13.Energy output-controlling device 15, for the energy output control signal sent according to described Control Server, control with the energy terminal output energy.Output unit 16, for exporting by energy terminal efficiency value.In embodiments of the present invention, the efficiency value that efficiency data processing server 12 is exported by the energy terminal to described output unit 16, thus pass through the efficiency value of output unit 16 to real-time, the dynamic outlet terminal of user.

embodiment tri-:

Fig. 3 shows the structure of the Intelligent energy efficiency control system that the embodiment of the present invention three provides, for convenience of explanation, only show the part relevant to the embodiment of the present invention, this system comprises terminal 19, efficiency data transmission device 20, efficiency data processing server 12, Control Server 13, decision knowledge base 14 and client terminal 17, wherein:

Terminal 19 comprises data collector 11 and energy output-controlling device 15.

In embodiments of the present invention, data collector 11 and energy output-controlling device 15 are integrated in terminal 19, thereby have saved system cost.Wherein, data collector 11 is the operational parameter data by the energy terminal for the data collection cycle collection according to default, and the energy output control signal of energy output-controlling device 15 for sending according to described Control Server controlled with the energy terminal output energy.

In embodiments of the present invention, can determine by data mining technology the collection period of operational parameter data, particularly, using the energy value, efficiency value of actual operation parameters data, consumption of terminal as input, acquisition time is as output, by data mining technology, and the collection period of definite operational parameter datas such as neural network, genetic algorithm and traditional decision-tree, thereby improve the accuracy of energy output acquisition time, improve the accuracy that energy output is controlled.

Efficiency data transmission device 20, send to described ADSL or GPRS network for the operational parameter data by described data collector collection.

In embodiments of the present invention, for the transmission range that improves data and improve anti-interference in transmitting procedure etc., described efficiency data transmission device 20 is specifically as follows the conveyer that adopts RS485 communication protocol.Also can adopt other conveyer in specific implementation process, at this not in order to limit the present invention.

Efficiency data processing server 12, the operational parameter data by the energy terminal gathered for receiving described data collector 11, according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server.

In embodiments of the present invention, after the operational parameter data by the energy terminal that receives described data collector 11 collections, efficiency data processing server 12, environmental model according to predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, particularly, can be using the weights of the relevant parameter in the efficiency computation model of the parameters in the terminal environments model, thus the accuracy of the efficiency value of terminal is provided.Wherein the efficiency computation model can be determined according to the difference of terminal.

Control Server 13, for according to described efficiency data processing server 12, send over by efficiency value that can terminal and the terminal efficiency output optimisation strategy of DECISION KNOWLEDGE library storage, to terminal sending energy output control signal.

In embodiments of the present invention, Control Server 13 for according to described efficiency data processing server 12, send over by efficiency value that can terminal and the terminal efficiency output optimisation strategy of decision knowledge base 14 storages, to with can terminal sending energy output control signal, wherein energy output control signal can be energy output time (being the start-up time of terminal), output order (boot sequence of terminal), the energy output valve in the time period etc.

Decision knowledge base 14, for providing terminal efficiency output optimisation strategy to Control Server 13.

In embodiments of the present invention, decision knowledge base 14 has been stored series of rules to export for definite energy, particularly, the efficiency value that described rule can be inputted according to the efficiency data processing server, the specified efficiency of terminal, terminal environments parameter etc., determine energy output, comprise energy output valve in energy output time (being the start-up time of terminal), output order (boot sequence of terminal), time period etc., at this not in order to limit the present invention.

Applications client 17, for sending user's application request instruction and receiving from described efficiency data processing server 12 the efficiency application data of returning to efficiency data processing server 12.

In embodiments of the present invention, based on the efficiency data processing server, can the user provide corresponding application service, for example, arrange etc. with efficiency inquiry, efficiency output that can terminal, thereby improve the human body of system, facilitate the user to carry out the efficiency setting according to self architectural feature.

Energy output-controlling device 15, for the energy output control signal sent according to described Control Server, control with the energy terminal output energy.

In specific implementation process, output unit 16 and applications client 17 can be integrated into to client 18, thereby improve the integrated level of client, facilitate demonstration and the management of efficiency.

As shown in Figure 4, in embodiments of the present invention, output unit, outlet terminal or client can be computing machine, mobile terminal, alarm pilot lamp, control lamp etc., client can be passed through the access to netwoks energy efficiency management platforms (efficiency data processing server) such as Internet network, ADSL, for the convenient access with the energy application service, particularly, this energy efficiency management platform comprises application server, interface server, data storage server and data processing server etc.Wherein:

Data processing server, the operational parameter data by the energy terminal gathered for receiving described data collector, according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to data storage server;

Data storage server, for storing the environmental model by operational parameter data, the terminal efficiency value that described data processing server calculates, predetermined efficiency computation model and described terminal that can terminal of described data collector collection;

Interface server, for providing corresponding application service interface to application server;

Application server, responded the efficiency application data of returning to described applications client for user's application request instruction that described applications client is sent.

In specific implementation process, data processing server 12, Control Server 13 and decision knowledge base 14 can form a cloud server, data can be mail to high in the clouds by all, by returning to again corresponding output unit 16 and applications client 17 after the cloud server computing, thereby carry out concentrated area management and operation by the system that can disperse and application, all management activitys are all managed via a middle position (Cloud Server) rather than from independent website or workstation (workstation only need carry out simple data processing), this makes enterprise staff to bring in the remote access application by the application client of a lightweight.Therefore, particularly, applications client can be the client of cloud client or enterprise's customization, for example, and browser etc.

In embodiments of the present invention, particularly, data collector can, for one of power consumption sensor, water consumption sensor, heat sensor, pressure transducer, flow sensor and temperature sensor or its combination in any, carry out the setting of sensor according to terminal setting in building particularly.

embodiment tetra-:

Fig. 5 shows the realization flow of the efficiency intelligent control method that the embodiment of the present invention four provides, and details are as follows:

In step S501, data collector according to default data collection cycle collection with operational parameter data that can terminal and send to the efficiency data processing server.

In embodiments of the present invention, the operational parameter data of terminal has reflected the energy output valve by the energy terminal, particularly, for example, the data such as refrigeration value that the energy output valve of air-conditioning equipment can be exported by air-conditioning equipment mean, the cold that handpiece Water Chilling Units can provide by it means, because efficiency can be along with season, time in one day, the difference of the environmental factors such as situation of building, in one day, the operational parameter data of same time collection may have larger difference, in order effectively to improve the utilization ratio of the energy, should dynamically adjust energy output according to different time, therefore, data collection cycle need to be set exactly, in embodiments of the present invention, can determine by data mining technology the collection period of operational parameter data, particularly, actual operation parameters data with terminal, the energy value consumed, the efficiency value is as input, acquisition time is as output, pass through data mining technology, neural network for example, the collection period of the specified data such as genetic algorithm and traditional decision-tree, thereby improve the accuracy of energy output acquisition time, improve the accuracy that energy output is controlled.

In step S502, the efficiency data processing server receives the operational parameter data by the energy terminal that described data collector gathers, environmental model according to predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server.

In the invention process row, the operational parameter data by the energy terminal that the efficiency data processing server gathers for receiving described data collector, environmental model according to predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server.

Particularly, the environmental model of terminal refers to the efficiency of terminal building of living in or floor structure, energy transfer canal, the environmental parameter (comprising outdoor temperature, humidity etc.) of default operational parameter data collection period, and the efficiency computation model refers to for calculating with computation model that can the terminal efficiency.After the operational parameter data by the energy terminal that receives described data collector collection, the efficiency data processing server is according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, particularly, can be using the weights of the relevant parameter in the efficiency computation model of the parameters in the terminal environments model, thus the accuracy of the efficiency value of terminal improved.

In specific implementation process, the efficiency computation model by the output energy by the energy terminal, (determine by the every output parameter by terminal, such as, refrigerating capacity, heating capacity etc.) with the electric power ratio of input, determine, for example, the refrigerating capacity that the efficiency of handpiece Water Chilling Units is unit and the ratio of its input electric power, cooling tower efficiency are defined as the ratio of caloric receptivity that the efficiency of the heat exhaust of chilled water and the ratio of blower fan of cooling tower institute power consumption (water loss that wafts of ignoring cooling tower), air-treatment end equipment is chilled water and end equipment institute power consumption.After determining total computation model, according to the efficiency calculating parameter by the energy terminal, obtain the efficiency model by the energy terminal.

As illustratively, the efficiency computation model of each equipment in building cooling plant equipment as shown in Figure 6 and pipe system has below been described.

Particularly, the chilled water in this building, cooling water pipeline all adopt 4 parallels connection of pumps (3 use one are standby), 3 machine parallel connections to form afterwards the series connection form of pump, because cooling water pipeline and chilled water pipeline are arranged similar, take chilled water as example when modeling, and the model of chilled water part can directly be used the model (adopting the corresponding data in cooling water pipeline when Coefficient of determination) of chilled water.The principle of this modeling mainly contains with foundation: the matching relationship of the characteristic of the matching relationship of pipe resistance and flow, pipe impedance coefficient S and pump characteristics and pepeline characteristic in the parallel pipeline system.

1, chilled water pump model

In system, the main sensor arranged has flow sensor, temperature sensor, pressure differential pressure sensor.In figure, the pipe impedance coefficient of AC, HM and BN section is S ₀(be S ₀=S _aC+ S _hM+ S _bN); The pipe impedance coefficient of CDF, EF, E ' F ', E ' GH section is respectively SP4, SP3, SP2, SP1; Pipeline for the chilled water pump part, generalized case lower pipeline reducing characteristics have determined that CE arranges identical with the pipeline section of F ' H, the pipeline section of EE ' and FF ' is arranged identical, therefore can establish CE and F ' H, EE ' are respectively SP01, SP02 with the pipe impedance coefficient of FF ' pipeline section.Equally, the pipe impedance coefficient of establishing KIJL, KL, MN section is respectively SZ1, SZ2, SZ3, and the pipe impedance coefficient sum of establishing KM and LN section is SZ01.

(1) total flow model

Take that water trap---in the cooling plant between water recovery apparatus, pipeline portions is analytic target, have according to pump annexation and energy equation:

$\frac{p_1}{\mathrm{\γ}}+\mathrm{\Σ}{H}_i=\frac{p_2}{\mathrm{\γ}}+{\mathrm{SQ}}^2---\left(1\right)$

Wherein, p1, p2 are the pressure in water recovery apparatus, water trap, and unit is Pa, Hi is each lift of pump in parallel put into operation, and unit is mH2O, the impedance factor that S is chilled water pipeline system in the station that has chilled water to flow through, unit is s2/m5, and Q is the chilled water total flow, and unit is m3/s.Due to p1, p2 by the differential pressure pickup Δ p be arranged between water trap and water recovery apparatus ₀detected, therefore formula (1) can be become:

$\mathrm{\&Sigma;}{H}_i=\frac{\mathrm{\&Delta;}{\mathrm{<figure-callout\; id="0"\; label="p"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">p</figure-callout>}}_0}{\mathrm{\&gamma;}}+{\mathrm{SQ}}^2---\left(2\right)$

The lift Hi that simultaneously considers each water pump can be by the differential pressure pickup Δ p that is arranged at place, pump import/export _irecord, can obtain the relation between flow and pressure reduction:

$Q=\sqrt{\frac{\mathrm{\&Sigma;\&Delta;}{p}_i-\mathrm{\&Delta;}{\mathrm{<figure-callout\; id="0"\; label="p"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">p</figure-callout>}}_0}{\mathrm{\&gamma;S}}}---\left(3\right)$

According to fluid mechanics knowledge, the characteristic of pipe impedance coefficient S is: only relevant with on-way resistance coefficient and coefficient of shock resistance in pipeline physical dimension (caliber and pipe range), pipeline, and irrelevant with other factors.Therefore, once pipe system install, as long as no longer the valve opening in pipeline etc. is arbitrarily regulated to (electric control valve does not carry out the ratio adjusting, and only adopts ON/OFF to regulate) in using; Simultaneously in actual implementation process, due to the fluidised form of chilled water in pipe basically all in full-blown turbulent region (should be with due regard to and change of flow state while monitoring lower frequency for the variable frequency pump system), in the Gai district, the on-way resistance coefficient is only relevant with the pipeline relative roughness, irrelevant with flow velocity that is flow, and the pipeline relative roughness generally can not change (formation such as dirt needs certain hour, and dirt can have influence on the tube wall roughness) in a short time.Hence one can see that, and when line arrangement and after regulating, as long as the aperture of nonvoluntary each valve of adjusting, the impedance factor S of pipeline can be used as constant.Therefore, formula (3) can be expressed as:

$Q_x=a_x\sqrt{\mathrm{\&Sigma;\&Delta;}{p}_i-\mathrm{\&Delta;}{p}_{0x}}---\left(4\right)$

Wherein, the combination number of x parallel pumps,

for participating in the impedance constant of parallel pumps pipeline, relevant with a way of parallel pumps.As a process pump 1, a _x=a ₁; As the time process pump 1 and 2, a _x=a ₁₂; As the time process pump 1 and 3, a _x=a ₁₃, by that analogy.

Formula (4) is the discharge model of refrigerating water pump.Like this, if determined in advance a _x, as long as by detecting each process pump inlet outlet pressure differential and, for the backwater total pressure head, just can obtaining according to formula (4) flow of chilled water.

A, impedance constant a _xdetermine

Because formula (4) need to pre-determine impedance constant a _x, below introduce how by actual measurement, to determine a _x.

1) for the various operation combinations (referring to table 1) of drafting, utilize differential pressure pickup to record each corresponding pressure difference Δ p _i, Δ p _0xwith Δ p _px(easy for making to calculate here, for refrigerating water pump part in parallel, can utilize the differential pressure pickup Δ p of setting _pxreplace the Δ p in (4) _0x), utilize flow sensor or portable type ultrasonic flowmeter to measure corresponding chilled water total flow simultaneously, gathered a secondary data every 1～10 minute, every kind of operating mode measures continuously 10～20 times and keeps a record.

2) pressure reduction and the flow each operating mode surveyed are processed, and simply, can first to each pressure reduction, the traffic classification that record, ask respectively mean value separately, then mean value substitution formula (4) is separately tried to achieve to corresponding a _x.

3) utilize the differential pressure pickup Δ p that is arranged on handpiece Water Chilling Units point in parallel place _cxwith the flow Qx recorded, Coefficient of determination ${\mathrm{\&lambda;}}_x=\frac{\mathrm{\&Delta;}{p}_{\mathrm{cx}}}{\mathrm{\&gamma;}{Q}_x^2}$ (referring to table 1).

So just but through type (4) computation model obtains real-time traffic, even also can be suitable for the system that variable frequency pump is arranged, because this model only depends on pipe system, all working point of pump all drops on corresponding pipeline curve.Therefore, as long as Δ p detected in real time _iwith Δ p ₀, Δ p _px, pass through Δ p simultaneously _ibe whether that zero differentiation identifies be which platform pump is putting into operation, can be at predetermined a _xin select corresponding impedance factor, utilizing formula (4) to obtain corresponding total flow (as shown in table 2).

Table 1 refrigerating water pump---handpiece Water Chilling Units combination and coefficient a _x, λ _xdetermine (Z-handpiece Water Chilling Units, P-refrigerating water pump)

B. each pipeline section impedance factor S's determines

Coefficient a by table 1 _x, λ _x, connect characteristics according to the pipeline of handpiece Water Chilling Units part, chilled water pump part, can list corresponding coefficient expression formula.First consider total chilled water pipeline.Because but direct-detection goes out pressure difference Δ p _i, Δ p _0x, Δ p _pxwith Δ p _cx, the flow Qx while if any chilled water pump and the operation of handpiece Water Chilling Units being detected, can obtain the impedance factor sum S0 of pipeline section AC, HM, BN:

${\mathrm{<figure-callout\; id="0"\; label="S"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_0=\frac{\mathrm{\&Sigma;\&Delta;}{p}_i-\mathrm{\&Delta;}{p}_{0x}-\mathrm{\&Delta;}{p}_{\mathrm{Px}}-\mathrm{\&Delta;}{p}_{\mathrm{cx}}}{\mathrm{\&gamma;}{Q}_X^2}$

For example, while setting operation refrigerating water pump 1 and handpiece Water Chilling Units 1, can obtain S0 and be:

${\mathrm{<figure-callout\; id="0"\; label="S"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_0=\frac{\mathrm{\&Delta;}{p}_1-\mathrm{\&Delta;}{p}_{01}-\mathrm{\&Delta;}{p}_{P1}-\mathrm{\&Delta;}{p}_{c1}}{\mathrm{\&gamma;}{Q}_1^2}---\left(5\right)$

Each pipeline section impedance factor SZ1, SZ2, SZ3, the SZ01 of handpiece Water Chilling Units part can join the following equation of solution and obtain:

S _z01+S _Z1＝λ ₁ (6)

S _z01+S _Z2＝λ ₂ (7)

S _Z3＝λ ₃ (8)

S _Z01+S _Z12＝λ ₁₂ (9)

S _Z13＝λ ₁₃ (10)

S _Z23＝λ ₂₃ (11)

S _Z123＝λ ₁₂₃ (12)

According to same theory, for chilled water pump part in parallel, can separate the impedance factor that following Series of Equations group obtains each pipeline section by connection:

$S_{P01}+S_{P02}+S_{P1}=\frac{1}{\mathrm{\&gamma;}{a}_1^2}---\left(13\right)$

$2S_{P01}+S_{P02}+S_{P2}=\frac{1}{\mathrm{\&gamma;}{a}_2^2}---\left(14\right)$

$2S_{P01}+S_{P02}+{\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{\mathrm{\&gamma;}{a}_3^2}---\left(15\right)$

$S_{P01}+S_{P02}+S_{P4}=\frac{1}{\mathrm{\&gamma;}{a}_4^2}---\left(16\right)$

$S_{P01}+S_{P02}+{\mathrm{<figure-callout\; id="12"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{\mathrm{\&gamma;}{a}_{12}^2}---\left(17\right)$

$S_{P01}+{\mathrm{<figure-callout\; id="13"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{\mathrm{\&gamma;}{a}_{13}^2}---\left(18\right)$

${\mathrm{<figure-callout\; id="14"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{\mathrm{\&gamma;}{a}_{14}^2}---\left(19\right)$

$2S_{P01}+S_{P23}=\frac{1}{\mathrm{\&gamma;}{a}_{23}^2}---\left(20\right)$

$S_{P01}+S_{P24}=\frac{1}{\mathrm{\&gamma;}{a}_{24}^2}---\left(21\right)$

$S_{P01}+S_{P02}+S_{P34}=\frac{1}{\mathrm{\&gamma;}{a}_{34}^2}---\left(22\right)$

$S_{P01}+S_{P123}=\frac{1}{\mathrm{\&gamma;}{a}_{123}^2}---\left(23\right)$

$S_{P124}=\frac{1}{\mathrm{\&gamma;}{a}_{124}^2}---\left(24\right)$

$S_{P01}+S_{P234}=\frac{1}{\mathrm{\&gamma;}{a}_{234}^2}---\left(25\right)$

$S_{P1234}=\frac{1}{\mathrm{\&gamma;}{a}_{1234}^2}---\left(26\right)$

$\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="12"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P}}=\frac{1}{\sqrt{S_{P1}}}+\frac{1}{\sqrt{S_{P2}+S_{P01}}}---\left(27\right)$

$\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="13"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P}}=\frac{1}{\sqrt{S_{P1}+S_{P02}}}+\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P01}+S_{P02}}}---\left(28\right)$

$\frac{1}{\sqrt{S_{P34}}}=\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P01}}}+\frac{1}{\sqrt{S_{P4}}}---\left(29\right)$

Solve above (6)～(29) formula, result is as shown in table 2.

The impedance factor of the corresponding pipeline section of table 2 Fig. 6

C. the total flow model determines

The Δ P recorded according to any time _px, ∑ Δ p _iand determined a in table 1 _xcan obtain the computation model of real-time total flow, as shown in table 3.

The chilled water total flow Qx computation model of each sundstrand pump in table 3 Fig. 6

(2) each shunt volume model determines

After having determined the chilled water total flow, also need definite flowing through respectively to move the chilled water branch flow of chilled water pump, each handpiece Water Chilling Units evaporator.Each shunt volume can, according to the assignment of traffic rule of parallel branch, be determined by the impedance factor of each pipeline section.The shunt volume of each chilled water pump the results are shown in Table 4, the shunt volume of each handpiece Water Chilling Units evaporator chilled water the results are shown in Table 5 (when each evaporator chilled water shunt volume of definite handpiece Water Chilling Units, the total flow of chilled water depends on the total flow that the operation combination of chilled water pump provides, therefore before calculating evaporator chilled water shunt volume, should at first determine the total flow Qx value of chilled water).

The assignment of traffic rule of parallel pipeline is in the following example:

1) move for 2 parallels connection of pumps, as 2#, 3# parallel connection of pumps in Fig. 6, according to the drag characteristics of parallel pipeline be:

$(S_{P02}+S_{P2})Q_2^2=(S_{P02}+S_{P3}){\mathrm{<figure-callout\; id="3"\; label="Q"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_3^2=S_{P23}{Q}_{23}^2$

Q _P2+Q _P3＝Q ₂₃

Can solve 2#, 3# pump flow QP2, QP3 separately by above 2 formulas.

2) move for 3 parallels connection of pumps, as 1#, 2#, 3# parallel connection of pumps in Fig. 6, have according to the resistance characteristics of multiple-series pipe network equally

$({\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P02}){\mathrm{<figure-callout\; id="3"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P^3+S_{P01}{(Q_{P2}+Q_{P3})}^2=S_{P02}{(Q_{P2}+Q_{P1})}^2+S_{P1}{Q}_{P1}^2=S_{P123}{Q}_{123}^2$

$S_{P02}{(Q_{P2}+Q_{P1})}^2+S_{P2}{Q}_{P2}^2=({\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P02}){\mathrm{<figure-callout\; id="3"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P^3$

Q _P2+Q _P1+Q _P3＝Q ₁₂₃

Connection is various more than separating can obtain 1#, 2#, 3# pump flow QP1, QP2, QP3 separately.All the other can be imitated this and analogize.

The chilled water shunt volume model of each chilled water pump of table 4 (the Qx value adopts the value in table 3)

The chilled water shunt volume model of each handpiece Water Chilling Units of table 5 (the Qx value depends on the combination of parallel pumps, adopts the value in table 3)

(3) the efficiency model of chilled water pump

After obtaining the flow of each chilled water pump under corresponding operating mode, according to the actual pump head recorded (inlet outlet pressure differential), can determine the useful power of corresponding refrigerating water pump:

N _ei＝γQ _iH _i＝Q _iΔp _i (i＝1，2，3) (30)

As long as actual measurement is to the input electric power Ni of each pump again, in can obtain the comprehensive energy efficiency η i of corresponding i refrigerating water pump:

${\mathrm{\&eta;}}_i=\frac{Q_i{\mathrm{\&Delta;p}}_i}{N_{i,\mathrm{in}}}---\left(31\right)$

2, chilled water model

For setting up the cooling-water pump model, at chilled water, supply installing chilled water total pressure head sensor Δ p on the return main ₀, at each cooling pump import and export installing differential pressure pickup Δ p _i(i=1,2,3).Due to layout and the refrigerating water pump similar (just there is no water recovery apparatus and water trap) of cooling water pipeline, so the chilled water model can apply mechanically the chilled water model fully, just at Coefficient of determination a _x, λ _xwhile reaching Sx, need with corresponding flow and the pressure difference of chilled water.Other computing formula is fully identical with the chilled water model.

After obtaining the flow of each cooling-water pump under corresponding operating mode, according to the actual pump head recorded (inlet outlet pressure differential), can determine the useful power of corresponding cooling pump:

N _ei＝γQ _ciH _i＝Q _ciΔp _i (i＝a，b，c) (30b)

As long as actual measurement is to the input electric power Nin of each pump again, can obtain the comprehensive energy efficiency η of corresponding cooling pump:

${\mathrm{\&eta;}}_i=\frac{Q_{\mathrm{ci}}\mathrm{\&Delta;}{p}_i}{N_{\mathrm{ci},\mathrm{in}}}---\left(31b\right)$

3, the efficiency model of handpiece Water Chilling Units

The efficiency of handpiece Water Chilling Units (coefficient of performance) is defined as the refrigerating capacity Q of unit ₀with its input electric power N _zinratio:

$\mathrm{COP}=\frac{Q_0}{N_{\mathrm{Zin}}}---\left(32\right)$

The refrigerating capacity Q of each handpiece Water Chilling Units _0ichilled-water flow Qi that can be corresponding by it, the temperature difference (TE _in-TE _out) try to achieve:

Q _0i＝ρQ _iC _p(TE _in-TE _out) (33)

In formula, the chilled-water flow Qi of each handpiece Water Chilling Units determines (in Table 5) by corresponding handpiece Water Chilling Units evaporator branch line shunt volume under corresponding operating mode; ρ is chilled water density; C _pspecific heat at constant pressure for water; TE _in-TE _outthe temperature difference (being detected by temperature sensor) for chilled water turnover handpiece Water Chilling Units evaporator.Therefore participate in the efficiency model of every handpiece Water Chilling Units of operation, be:

${\mathrm{COP}}_{\mathrm{Zi}}=\frac{Q_{0i}}{N_{\mathrm{Zin},i}}=\frac{\mathrm{\&rho;}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{N_{\mathrm{Zin},i}}---\left(34\right)$

4, cooling tower efficiency model

The heat exhaust that definition cooling tower efficiency is chilled water and the ratio (water loss that wafts of ignoring cooling tower) of blower fan of cooling tower institute power consumption.The heat exhaust Q of chilled water _c0can be by chilled water total flow Qc and the total supply backwater temperature difference (TE of chilled water _cin-TE _cout) obtain:

Q _c0＝∑Q _c0i＝∑ρQ _ciC _p(TE _cin-TE _cout) (35)

The total energy effect model of all cooling towers that put into operation is:

${\mathrm{EER}}_{\mathrm{CT}}=\frac{{\mathrm{<figure-callout\; id="0"\; label="Q\; c"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_c}{\mathrm{\&Sigma;}{N}_{\mathrm{CTin},i}}=\frac{\mathrm{\&Sigma;\&rho;}{Q}_{\mathrm{ci}}{C}_p({\mathrm{TE}}_{\mathrm{cin}}-{\mathrm{TE}}_{\mathrm{cout}})}{\mathrm{\&Sigma;}{N}_{\mathrm{CTin},i}}---\left(36\right)$

Note, in the time can not obtaining the actual cooling water flow of every cooling tower, can only be analyzed the total energy effect of operating cooling tower group, if can detect branch's cooling water flow and the temperature difference of each cooling tower, can utilize formula (36) to remove the summation symbol each cooling tower is carried out separately to Energy Efficiency Analysis.

5, air-treatment end equipment efficiency model

The caloric receptivity that the efficiency of definition air-treatment end equipment is chilled water and the ratio of end equipment institute power consumption.In the situation that can not obtain each end equipment electric power, all actual end equipments that put into operation are done as a wholely to be considered, what the chilled-water flow that flows through all operation ends was the determined total flow of chilled water pump model and chilled water for the flow of backwater by-pass pipe (balance pipe) is poor, can obtain thus the efficiency model of air-treatment end equipment.

In the situation that can't detect the freezing water yield of bypass, can suppose that the load of all ends in service equals respectively to move the actual refrigerating capacity sum (ignoring the energy loss in the chilled water transfer pipeline) of handpiece Water Chilling Units, the efficiency of all end equipments that put into operation can be expressed as:

${\mathrm{EER}}_{\mathrm{AHU}}=\frac{\mathrm{\&Sigma;}{Q}_{0i}}{\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}}=\frac{\mathrm{\&Sigma;\&rho;}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}}---\left(37\right)$

6, central air conditioner system total energy effect

The definition central air conditioner system the ratio for the spent electric power of each cold of providing of operation handpiece Water Chilling Units and central air conditioner system can be provided.Spent electric power mainly comprises the electric power of handpiece Water Chilling Units, chilled water pump, cooling-water pump, blower fan of cooling tower, air conditioner end equipment motor etc.Therefore, the total energy effect of central air conditioner system can be expressed as:

${\mathrm{EER}}_T=\frac{\mathrm{\&Sigma;}{Q}_{0i}}{\mathrm{\&Sigma;}{N}_{\mathrm{Zin},i}+\mathrm{\&Sigma;}{N}_{i,\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{ci},\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}+\mathrm{\&Sigma;}{N}_{\mathrm{CTi},\mathrm{in}}}---\left(38\right)$

By above example, can advise with efficiency computation model that can equipment, thereby, for the calculating of efficiency provides foundation, optimize the calculating of efficiency, in implementation process particularly, can also add corresponding environmental system, at this not in order to limit the present invention.

In step S503, the terminal efficiency output optimisation strategy of the efficiency value by the energy terminal that Control Server sends over according to described efficiency data processing server and DECISION KNOWLEDGE library storage, export control signal to by the energy terminal, sending the energy.

In embodiments of the present invention, the terminal efficiency output optimisation strategy of the efficiency value by the energy terminal that Control Server is used for sending over according to described efficiency data processing server and DECISION KNOWLEDGE library storage, to with can terminal sending energy output control signal, wherein energy output control signal can be energy output time (being the start-up time of terminal), output order (boot sequence of terminal), the energy output valve in the time period etc.

In embodiments of the present invention, the DECISION KNOWLEDGE library storage series of rules with for determining energy output, particularly, the efficiency value that described rule can be inputted according to the efficiency data processing server, the specified efficiency of terminal, terminal environments parameter etc., determine energy output, comprise energy output valve in energy output time (being the start-up time of terminal), output order (boot sequence of terminal), time period etc., at this not in order to limit the present invention.

In step S504, the energy output control signal that energy output-controlling device sends according to described Control Server, control with the energy terminal output energy.

The embodiment of the present invention is by the data collector provided, the efficiency data processing server, Control Server, the operational parameter data of energy terminal for the Intelligent energy efficiency control system timing acquiring that decision knowledge base and energy output-controlling device form, environmental model according to predetermined efficiency computation model and terminal, calculate the efficiency value by the energy terminal, terminal efficiency output optimisation strategy according to the DECISION KNOWLEDGE library storage, to send energy output control signal by the energy terminal, control with terminal exporting the energy, realized the automatic collection of energy output, and by definite efficiency computation models such as data mining technologies, finally realize the optimization output of terminal energy sources, thereby improved the utilization ratio of the energy.

The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.

Claims (10)

1. an Intelligent energy efficiency control system, described Intelligent energy efficiency control system is for building cooling plant equipment and pipe system, described building cooling plant equipment and pipe system comprise refrigerating water pump, cooling pump, handpiece Water Chilling Units, cooling tower, air-treatment end equipment and central air conditioner system, it is characterized in that, described Intelligent energy efficiency control system comprises:

Data collector, the operational parameter data for the data collection cycle collection according to default by the energy terminal;

The efficiency data processing server, the operational parameter data by the energy terminal gathered for receiving described data collector, according to the environmental model that is the predetermined efficiency computation model of building cooling plant equipment and pipe system and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server;

Control Server, for according to described efficiency data processing server, send over by efficiency value that can terminal and the terminal efficiency output optimisation strategy of DECISION KNOWLEDGE library storage, to terminal sending energy output control signal;

Decision knowledge base, for providing terminal efficiency output optimisation strategy to Control Server; And

Energy output-controlling device, for the energy output control signal sent according to described Control Server, control with the energy terminal output energy;

Described predetermined efficiency computation model comprises:

The comprehensive energy efficiency model of i refrigerating water pump:

wherein, Q _ibe the flow of i refrigerating water pump, Δ p _ipass in and out the pressure differential of i refrigerating water pump, Ni, the input electric power that in is i refrigerating water pump;

The comprehensive energy efficiency model of i cooling pump: wherein, Q _cibe the flow of i cooling pump, Δ p _cifor passing in and out the pressure differential of i cooling pump, Nci, the input electric power that in is i cooling pump;

The efficiency model of i platform handpiece Water Chilling Units is: ${\mathrm{COP}}_{\mathrm{Zi}}=\frac{\mathrm{\&rho;}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{N_{\mathrm{Zin},i}},$ ρ is chilled water density; Q _ibe the flow of i refrigerating water sets, C _pspecific heat at constant pressure for water; (TE _{in, i}-TE _{out, i}) for passing in and out the temperature difference of i platform handpiece Water Chilling Units evaporator, N _zinfor input electric power;

The total energy effect model of cooling tower is: ${\mathrm{EER}}_{\mathrm{CT}}=\frac{\mathrm{\&Sigma;\&rho;}{Q}_{\mathrm{ci}}{C}_p({\mathrm{TE}}_{\mathrm{cin}}-{\mathrm{TE}}_{\mathrm{cout}})}{\mathrm{\&Sigma;}{N}_{\mathrm{CTin},i}},$ Wherein, ρ is chilled water density; Q _cibe the flow of i cooling pump, C _pspecific heat at constant pressure for water; , (TE _cin-TE _cout) be the total supply backwater temperature difference of chilled water, N _{cTin, i}the input electric power of i platform cooling tower;

The efficiency model of all end equipments that put into operation is:

wherein, ρ is chilled water density; Q _ibe the flow of i end equipment, C _pspecific heat at constant pressure for water; , (TE _{in, i}-TE _{out, i}) be the total supply backwater temperature difference of chilled water, N _{aHUin, i}it is the input electric power of i end equipment;

The total energy effect model of central air conditioner system is: ${\mathrm{EER}}_T=\frac{\mathrm{\&Sigma;}{Q}_{0i}}{\mathrm{\&Sigma;}{N}_{\mathrm{Zin},i}+\mathrm{\&Sigma;}{N}_{i,\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{ci},\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}+\mathrm{\&Sigma;}{N}_{\mathrm{CTi},\mathrm{in}}},$ Wherein, Q _0ifor the cold that provides of handpiece Water Chilling Units to i operation.

2. Intelligent energy efficiency control system as claimed in claim 1, is characterized in that, described system also comprises:

Output unit, for showing energy terminal efficiency value for output;

Described efficiency data processing server is also for the efficiency value by the energy terminal to described output unit output.

3. Intelligent energy efficiency control system as claimed in claim 1, is characterized in that, described system also comprises:

Applications client, for sending user's application request instruction and receiving the efficiency application data of returning from described efficiency data processing server to the efficiency data processing server;

Described efficiency data processing server is also for receiving user's efficiency data acquisition instruction that described applications client sends and sending the efficiency data to described applications client.

4. Intelligent energy efficiency control system as claimed in claim 3, is characterized in that, described efficiency data processing server comprises:

Data processing server, the operational parameter data by the energy terminal gathered for receiving described data collector, according to the environmental model of predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to data storage server;

Data storage server, for storing the environmental model by operational parameter data, the terminal efficiency value that described data processing server calculates, predetermined efficiency computation model and described terminal that can terminal of described data collector collection;

Interface server, for providing corresponding application service interface to application server;

Application server, responded the efficiency application data of returning to described applications client for user's application request instruction that described applications client is sent.

5. Intelligent energy efficiency control system as claimed in claim 4, is characterized in that, described applications client comprises mobile terminal.

6. Intelligent energy efficiency control system as claimed in claim 1, is characterized in that, described data collector is one of power consumption sensor, water consumption sensor, heat sensor, pressure transducer, flow sensor and temperature sensor or its combination in any.

7. Intelligent energy efficiency control system as claimed in claim 1, is characterized in that,

Described data collector is by ADSL (Asymmetric Digital Subscriber Line, ADSL (Asymmetric Digital Subscriber Line)) or GPRS (General Packet Radio Service, GPRS (General Packet Radio Service)) network the operational parameter data of collection is sent to described efficiency data processing server.

8. Intelligent energy efficiency control system as claimed in claim 7, is characterized in that, described system also comprises:

The efficiency data transmission device, send to described ADSL or GPRS network for the operational parameter data by described data collector collection.

9. Intelligent energy efficiency control system as claimed in claim 8, is characterized in that, described efficiency data transmission device is specially the conveyer that adopts RS485 communication protocol.

10. the efficiency intelligent control method based on the described Intelligent energy efficiency control system of claim 1 to 9 any one, described Intelligent energy efficiency control system is for building cooling plant equipment and pipe system, described building cooling plant equipment and pipe system comprise refrigerating water pump, cooling pump, handpiece Water Chilling Units, cooling tower, air-treatment end equipment and central air conditioner system, it is characterized in that, described method comprises the steps:

Data collector according to default data collection cycle collection with operational parameter data that can terminal and send to the efficiency data processing server;

The efficiency data processing server receives the operational parameter data by the energy terminal that described data collector gathers, environmental model according to predetermined efficiency computation model and described terminal, calculate the efficiency value by the energy terminal, and described efficiency value is sent to Control Server;

The terminal efficiency output optimisation strategy of the efficiency value by the energy terminal that Control Server sends over according to described efficiency data processing server and DECISION KNOWLEDGE library storage, export control signal to by the energy terminal, sending the energy;

The energy output control signal that energy output-controlling device sends according to described Control Server, control with the energy terminal output energy;

Described predetermined efficiency computation model comprises:

The comprehensive energy efficiency model of i refrigerating water pump:

wherein, Q _ibe the flow of i refrigerating water pump, Δ p _ipass in and out the pressure differential of i refrigerating water pump, Ni, the input electric power that in is i refrigerating water pump;

The comprehensive energy efficiency model of i cooling pump:

wherein, Q _cibe the flow of i cooling pump, Δ p _cifor passing in and out the pressure differential of i cooling pump, Nci, the input electric power that in is i cooling pump;

The efficiency model of i platform handpiece Water Chilling Units is: ${\mathrm{COP}}_{\mathrm{Zi}}=\frac{\mathrm{\&rho;}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{N_{\mathrm{Zin},i}},$ ρ is chilled water density; Q _ibe the flow of i refrigerating water sets, C _pspecific heat at constant pressure for water; (TE _{in, i}-TE _{out, i}) for passing in and out the temperature difference of i platform handpiece Water Chilling Units evaporator, N _zinfor input electric power;

The total energy effect model of cooling tower is: ${\mathrm{EER}}_{\mathrm{CT}}=\frac{\mathrm{\&Sigma;\&rho;}{Q}_{\mathrm{ci}}{C}_p({\mathrm{TE}}_{\mathrm{cin}}-{\mathrm{TE}}_{\mathrm{cout}})}{\mathrm{\&Sigma;}{N}_{\mathrm{CTin},i}},$ Wherein, ρ is chilled water density; Q _cibe the flow of i cooling pump, C _pspecific heat at constant pressure for water; , (TE _cin-TE _cout) be the total supply backwater temperature difference of chilled water, N _{cTin, i}the input electric power of i platform cooling tower;

The efficiency model of all end equipments that put into operation is:

wherein, ρ is chilled water density; Q _ibe the flow of i end equipment, C _pspecific heat at constant pressure for water; , (TE _{in, i}-TE _{out, i}) be the total supply backwater temperature difference of chilled water, N _{aHUin, i}it is the input electric power of i end equipment;

The total energy effect model of central air conditioner system is: ${\mathrm{EER}}_T=\frac{\mathrm{\&Sigma;}{Q}_{0i}}{\mathrm{\&Sigma;}{N}_{\mathrm{Zin},i}+\mathrm{\&Sigma;}{N}_{i,\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{ci},\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}+\mathrm{\&Sigma;}{N}_{\mathrm{CTi},\mathrm{in}}},$ Wherein, Q _0ifor the cold that provides of handpiece Water Chilling Units to i operation.

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