CN106996623B - Central air conditioner room control method under energy consumption limit - Google Patents

Central air conditioner room control method under energy consumption limit Download PDF

Info

Publication number
CN106996623B
CN106996623B CN201710284519.0A CN201710284519A CN106996623B CN 106996623 B CN106996623 B CN 106996623B CN 201710284519 A CN201710284519 A CN 201710284519A CN 106996623 B CN106996623 B CN 106996623B
Authority
CN
China
Prior art keywords
energy consumption
consumption limit
water pump
central air
power
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710284519.0A
Other languages
Chinese (zh)
Other versions
CN106996623A (en
Inventor
王俊
牛道恒
许春明
唐利晓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Qingyun Energy Group Co ltd
Original Assignee
Beijing Qingkong Clean Energy Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Qingkong Clean Energy Technology Co Ltd filed Critical Beijing Qingkong Clean Energy Technology Co Ltd
Priority to CN201710284519.0A priority Critical patent/CN106996623B/en
Publication of CN106996623A publication Critical patent/CN106996623A/en
Application granted granted Critical
Publication of CN106996623B publication Critical patent/CN106996623B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data

Abstract

The invention discloses the central air conditioner room control methods under a kind of energy consumption limit, firstly, setting energy consumption limit information, after system receives energy consumption limit, is predicted, and export energy consumption limit response according to energy consumption limit operating status;To in time energy consumption limit time started since pretreatment time, building enters energy accumulating state or maintains state;Enter energy consumption limit state after reaching the energy consumption limit time started, calculate current assignable general power, the general power that will currently distribute, it is allocated between Central air-conditioning unit, chilled water pump, cooling water pump, cooling tower, after reaching the energy consumption limit time started, then cooling water pump, cooling tower, chilled water pump and unit are restored to non-energy consumption limit state operation.The present invention can make to build the control of central air conditioner system energy consumption in quota limit, and meet comfort level requirement as far as possible, on the one hand can mitigate power grid power supply pressure, on the one hand reduce the influence to constructing operation, guarantee the orderly progress of economic activity.

Description

Central air conditioner room control method under energy consumption limit
Technical field
The present invention relates to the central air conditioner room control methods under a kind of energy consumption limit, belong to Air-condition system control technology neck Domain.
Background technique
With the development of Chinese Urbanization and process of industrialization, the scale and quantity of public building and industrial building constantly increase Add, building energy consumption constantly rises.And central air-conditioning is the energy consumption rich and influential family in building, generally occupies the 40%~60% of building Energy consumption.When power supply capacity is unable to satisfy power demand, if building central air conditioner system can control energy consumption in limit model In enclosing, and meet comfort level requirement as far as possible, then on the one hand can mitigate power grid power supply pressure, on the one hand reduce and building is transported Capable influence guarantees the orderly progress of economic activity.
The method for solving energy consumption limit at present is that implementation plan has a power failure, and in specific time period, closes building central air conditioner system, To complete energy consumption limit plan.But scheduled outage generally require in advance a couple of days according to power grid power supply capacity and power demand into A possibility that rigidity power failure plan is formulated in row prediction, and there are excessive power failures;Secondly, building central air-conditioning system during scheduled outage System completely closes, and building function is a greater impact.
Summary of the invention
The technical problem to be solved by the present invention is to overcome the deficiencies of existing technologies, the center under a kind of energy consumption limit is provided Air Conditioning Facilities control method, building central air conditioner system dynamically adjust operating status according to the power supply capacity of power grid, meet electricity While net demand, the influence to building function is reduced most possibly.
In order to solve the above technical problems, the present invention provides the central air conditioner room control method under a kind of energy consumption limit, packet Include following steps:
1) the energy consumption limit of special time period, energy consumption limit letter are set by data communication interface or personnel's input mode Breath includes energy consumption limit time started Tst, energy consumption limit dwell time Tend, maximal input Nlmt, maximum electricity consumption Plmt
2) it is pre- to being carried out in energy consumption clipping time section according to energy consumption limit operating status first after system receives energy consumption limit It surveys, and exports energy consumption limit response;
3) enter energy consumption limit state, from pretreatment time TpreStart to energy consumption limit time started TstIn time, building Into cold-storage state or maintain state;The pretreatment time TpreAccording to the water outlet of the load side of central air conditioner system according to being The minimum flow rate of system operation is recycled to the time of farthest end to determine;
4) by the energy consumption limit time started T of settingstCompared with the real time, enter after reaching the energy consumption limit time started Energy consumption limit state, not up to energy consumption limit time started then repeat step 3), continue cold-storage;
5) it is brought into operation by the energy consumption limit time started, can currently be distributed according to the prediction data calculating in the step 2) General power;
6) power level is calculated according to the actual parameter of equipment and load rate of plant, power level is divided into three-level, power stage Other 1 is Nset1, power level 2 is Nset2, power level 3 is Nset3
7) the current distribute general power N obtained by step 4)all(t0) the value N of power level 1 that obtains with step 6)set1 It makes comparisons, if Nall(t0) it is greater than Nset1, then cooling water pump, cooling tower are run according to non-energy consumption limit state, dump power point Dispensing chilled water pump and unit, chilled water pump and unit are according to rate of load condensate η1Operation;Then it is transferred to step 10);Otherwise it is transferred to step It is rapid 8);
8) the current distribute general power N obtained by step 4)all(t0) the value N of power level 2 that obtains with step 6)set2 It makes comparisons, if Nall(t0) it is less than Nset1And it is greater than Nset2, then cooling water pump, chilled water pump, cooling tower and unit are according to load Rate η2Operation;Then it is transferred to step 10);Otherwise it is transferred to step 9);
9) the current distribute general power N obtained by step 4)all(t0) the value N of power level 3 that obtains with step 6)set3 It makes comparisons, if Nall(t0) it is less than Nset2And it is greater than Nset3, then stop cooling water pump, cooling tower and unit operation, chilled water pump It is run according to minimum load rate;If Nall(t0) it is less than Nset3, then stop cooling water pump, cooling tower, chilled water pump and unit fortune Row;Then it is transferred to step 10);
10) by the energy consumption limit dwell time T of settingendCompared with the real time, it is laggard to reach energy consumption limit dwell time Enter non-energy consumption limit normal operating condition, not up to energy consumption limit dwell time then return step 5), until reaching energy consumption limit Dwell time restores normal operating condition.
In aforementioned step 2), using prediction algorithm neural network based, according to historical data and current data, prediction Electricity consumption P of the central air conditioner system in energy consumption clipping time section normal operation outf, system real-time load Qf(t) and system In the general refrigeration ability C of energy consumption clipping time section normal needf, compare PfAnd Ps, work as PfGreater than PsWhen, then energy consumption limit response is exported, It enters step 3);Work as PfLess than PsWhen, then energy consumption limit response is not exported, and system is operated normally according to non-power consumption state, PsFor reality Border residue available power.
Energy consumption limit response above-mentioned is real surplus available power PsWith central air conditioner system in energy consumption clipping time section The electricity consumption P of normal operationf
In aforementioned step 3), cold-storage state is entered according to chilled water temperature and the judgement of indoor temperature and humidity data and is either tieed up State is held, system makes to export cooling capacity slightly larger than system loading by controlling central air-conditioning leaving water temperature, and building enters cold-storage state; When central air conditioning water temperature reaches system design lower bound, and indoor temperature and humidity reaches comfort level tolerance lower bound, system is logical Crossing control central air-conditioning leaving water temperature makes to export cooling capacity and system loading balance, and building enters maintenance state.
In aforementioned step 5), current assignable general power Nall(t0) are as follows:
Nall(t0)=KQf(t0)
Wherein, t0For current time, Qf(t0) it is current system real-time load,
In aforementioned step 6), the calculation method of power level are as follows:
If η is load rate of plant, range is 0~1, wherein η=0 indicates equipment work in minimum load, and the expression of η=1 is set It is standby to work in non-energy consumption limit state,
The relationship of load rate of plant and equipment operation power can be obtained according to facility information: unit load rate and unit are run Power relation is Nch(η), chilled water pump rate of load condensate and chilled water pump operation power relation are Nchwp(η), cooling water pump rate of load condensate It is N with cooling water pump operation power relationcwp(η), cooling tower load rate and cooling tower operation power relation are Nct(η);
Power level calculating formula are as follows:
Power level 1:Nset1=Ncwp(1)+Nct(1)+Nchwp(0)+Nch(0);
Power level 2:Nset2=Ncwp(0)+Nct(0)+Nchwp(0)+Nch(0);
Power level 3:Nset3=Nchwp(0)。
In aforementioned step 7), η1Meet: Nch1)+Nchwp1)=Nall(t0)-Ncwp(1)-Nct(1)。
In aforementioned step 8), η2Meet: Nch2)+Nchwp2)+Ncwp2)+Nct2)=Nall(t0)。
Advantageous effects of the invention:
The present invention can make to build the control of central air conditioner system energy consumption in quota limit, dynamically adjust operating status, And meet comfort level requirement as far as possible, it on the one hand can mitigate power grid power supply pressure, on the one hand reduce the influence to constructing operation, Guarantee the orderly progress of economic activity.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
The invention will be further described below.Following embodiment is only used for clearly illustrating technical side of the invention Case, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, the central air conditioner room control method under energy consumption limit of the invention, comprising the following steps:
1) the energy consumption limit of special time period, energy consumption limit letter are set by data communication interface or personnel's input mode Breath includes energy consumption limit time started Tst, energy consumption limit dwell time Tend, maximal input Nlmt, maximum electricity consumption Plmt
2) after system receives energy consumption limit, first to section (the energy consumption limit time started to energy consumption limit energy consumption clipping time Dwell time) in predicted according to energy consumption limit operating status, and export energy consumption limit response.
Prediction algorithm neural network based is utilized in prediction algorithm, according to historical data and current data, predicts Entreat air-conditioning system in the electricity consumption P of energy consumption clipping time section normal operationf, system real-time load Qf(t) and system is in energy Consume the general refrigeration ability C of clipping time section normal needf, compare PfAnd Ps, work as PfGreater than PsWhen, then energy consumption limit response is exported, is entered Step 3);Work as PfLess than PsWhen, then energy consumption limit response is not exported, and system is operated normally according to non-power consumption state, PsIt is practical surplus Remaining available power.
Energy consumption limit response is real surplus available power PsWith the electricity consumption P of forecasting system normal operationf
3) enter energy consumption limit state, from pretreatment time TpreStart to energy consumption limit time started TstIn time, building Into cold-storage state or maintain state;Pretreatment time TpreIt is discharged according to the load side of central air conditioner system and is transported according to system Capable minimum flow rate is recycled to the time of farthest end to determine, is entered according to chilled water temperature and the judgement of indoor temperature and humidity data Cold-storage state either maintains state, and system makes output cooling capacity be slightly larger than system loading by controlling central air-conditioning leaving water temperature, Building enters cold-storage state;Lower bound is designed when central air conditioning water temperature reaches system, and indoor temperature and humidity reaches comfort level When tolerating lower bound, system makes to export cooling capacity and system loading balance by controlling central air-conditioning leaving water temperature, and building, which enters, to be maintained State.
4) by the energy consumption limit time started T of settingstCompared with the real time, enter after reaching the energy consumption limit time started Energy consumption limit state, not up to energy consumption limit time started then repeat step 3), continue cold-storage.
5) it is brought into operation, is calculated according to the prediction data in step 2) current assignable total by the energy consumption limit time started Power Nall, based on assuming that load curve and computational constant K, load curve and energy consumption curve under energy consumption curve unanimous circumstances Under unanimous circumstances, constant K is fixed value, realtime power Nf(t), pass through the system real-time load Q of constant K and predictionf(t) Calculate current assignable total power input Nall, calculation are as follows:
Assuming that load curve is consistent with energy consumption curve, then exist:
Nf(t)=KQf(t)
K is constant, according to this formula to calculating,
∫Nf(t) dt=∫ KQf(t)dt
Cause are as follows:
Pf=∫ Nf(t)dt
Cf=∫ Qf(t)dt
So:
Pf=KCf
It obtains:
According to the system real-time load Q of predictionf(t) current time t is calculated0Assignable total power input Nall(t0):
Nall(t0)=KQf(t0)。
6) power level is calculated according to the actual parameter of equipment and load rate of plant,
If η is load rate of plant, range is 0~1, wherein η=0 indicates equipment work in minimum load, and the expression of η=1 is set Standby work is in non-energy consumption limit state.
The relationship of load rate of plant and equipment operation power can be obtained according to facility information: unit load rate and unit are run Power relation is Nch(η), chilled water pump rate of load condensate and chilled water pump operation power relation are Nchwp(η), cooling water pump rate of load condensate It is N with cooling water pump operation power relationcwp(η), cooling tower load rate and cooling tower operation power relation are Nct(η);
Power level calculates, and according to the actual parameter calculated load rate of equipment, meets the normal operation of system, power level Calculation are as follows:
Power level 1:Nset1=Ncwp(1)+Nct(1)+Nchwp(0)+Nch(0);
Power level 2:Nset2=Ncwp(0)+Nct(0)+Nchwp(0)+Nch(0);
Power level 3:Nset3=Nchwp(0)。
7) the current distribute general power N obtained by step 4)all(t0) the value N of power level 1 that obtains with step 6)set1 It makes comparisons, if Nall(t0) it is greater than Nset1, then cooling water pump, cooling tower are run according to non-energy consumption limit state, dump power point Dispensing chilled water pump and unit, chilled water pump and unit are according to rate of load condensate η1Operation;η1Meet: Nch1)+Nchwp1)=Nall (t0)-Ncwp(1)-Nct(1), dump power, that is, Nall(t0)-Ncwp(1)-Nct(1)。
8) the current distribute general power N obtained by step 4)all(t0) the value N of power level 2 that obtains with step 6)set2 It makes comparisons, if Nall(t0) it is less than Nset1And it is greater than Nset2, then cooling water pump, chilled water pump, cooling tower and unit are according to load Rate η2Operation;η2Meet: Nch2)+Nchwp2)+Ncwp2)+Nct2)=Nall(t0)。
9) the current distribute general power N obtained by step 4)all(t0) the value N of power level 3 that obtains with step 6)set3 It makes comparisons, if Nall(t0) it is less than Nset2And it is greater than Nset3, then stop cooling water pump, cooling tower and unit operation, chilled water pump It is run according to minimum load rate;If Nall(t0) it is less than Nset3, then stop cooling water pump, cooling tower, chilled water pump and unit fortune Row.Chilled water pump minimum load is Nchwp(0)。
10) by the energy consumption limit dwell time T of settingendCompared with the real time, it is laggard to reach energy consumption limit dwell time Enter non-energy consumption limit normal operating condition, not up to energy consumption limit dwell time then return step 5), until reaching energy consumption limit Dwell time restores normal operating condition.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (8)

1. the central air conditioner room control method under energy consumption limit, which comprises the following steps:
1) the energy consumption limit of special time period, energy consumption limit packet are set by data communication interface or personnel's input mode Include energy consumption limit time started Tst, energy consumption limit dwell time Tend, maximal input Nlmt, maximum electricity consumption Plmt
2) it after system receives energy consumption limit, is predicted according to energy consumption limit operating status in energy consumption clipping time section first, And export energy consumption limit response;
3) enter energy consumption limit state, from pretreatment time TpreStart to energy consumption limit time started TstIn time, building enters Cold-storage state maintains state;The pretreatment time TpreIt is discharged according to the load side of central air conditioner system and is transported according to system Capable minimum flow rate is recycled to the time of farthest end to determine;
4) by the energy consumption limit time started T of settingstCompared with the real time, enter energy consumption after reaching the energy consumption limit time started Limit state, not up to energy consumption limit time started then repeat step 3), continue cold-storage;
5) it is brought into operation, is calculated according to the prediction data in the step 2) current assignable total by the energy consumption limit time started Power;
6) power level is calculated according to the actual parameter of equipment and load rate of plant, power level is divided into three-level, and power level 1 is Nset1, power level 2 is Nset2, power level 3 is Nset3
7) the current distribute general power N obtained by step 4)all(t0) the value N of power level 1 that obtains with step 6)set1Make ratio Compared with if Nall(t0) it is greater than Nset1, then cooling water pump, cooling tower are run according to non-energy consumption limit state, and dump power is distributed to Chilled water pump and unit, chilled water pump and unit are according to rate of load condensate η1Operation;Then it is transferred to step 10);Otherwise it is transferred to step 8);
8) the current distribute general power N obtained by step 4)all(t0) the value N of power level 2 that obtains with step 6)set2Make ratio Compared with if Nall(t0) it is less than Nset1And it is greater than Nset2, then cooling water pump, chilled water pump, cooling tower and unit are according to rate of load condensate η2 Operation;Then it is transferred to step 10);Otherwise it is transferred to step 9);
9) the current distribute general power N obtained by step 4)all(t0) the value N of power level 3 that obtains with step 6)set3Make ratio Compared with if Nall(t0) it is less than Nset2And it is greater than Nset3, then stop cooling water pump, cooling tower and unit operation, chilled water pump according to The operation of minimum load rate;If Nall(t0) it is less than Nset3, then stop cooling water pump, cooling tower, chilled water pump and unit operation;So After be transferred to step 10);
10) by the energy consumption limit dwell time T of settingendCompared with the real time, reach enter after energy consumption limit dwell time it is non- Energy consumption limit normal operating condition, not up to energy consumption limit dwell time then return step 5), stop until reaching energy consumption limit Time restores normal operating condition.
2. the central air conditioner room control method under energy consumption limit according to claim 1, which is characterized in that the step 2) in, central air conditioner system is predicted in energy according to historical data and current data using prediction algorithm neural network based Consume the electricity consumption P of clipping time section normal operationf, system real-time load Qf(t) and system energy consumption clipping time section just The general refrigeration ability C often neededf, compare PfAnd Ps, work as PfGreater than PsWhen, then energy consumption limit response is exported, is entered step 3);Work as PfIt is less than PsWhen, then energy consumption limit response is not exported, and system is operated normally according to non-power consumption state, PsFor real surplus available power.
3. the central air conditioner room control method under energy consumption limit according to claim 2, which is characterized in that the energy consumption Limit response is real surplus available power PsWith central air conditioner system energy consumption clipping time section normal operation electricity consumption Measure Pf
4. the central air conditioner room control method under energy consumption limit according to claim 1, which is characterized in that the step 3) in, cold-storage state is entered according to chilled water temperature and the judgement of indoor temperature and humidity data and either maintains state, system passes through control Central air-conditioning leaving water temperature processed makes to export cooling capacity slightly larger than system loading, and building enters cold-storage state;When central air conditioning water Temperature reach system design lower bound, and indoor temperature and humidity reach comfort level tolerance lower bound when, system by control central hollow recall Coolant-temperature gage makes to export cooling capacity and system loading balances, and building enters maintenance state.
5. the central air conditioner room control method under energy consumption limit according to claim 2, which is characterized in that the step 5) in, current assignable general power Nall(t0) are as follows:
Nall(t0)=KQf(t0)
Wherein, t0For current time, Qf(t0) it is current system real-time load,
6. the central air conditioner room control method under energy consumption limit according to claim 1, which is characterized in that the step 6) in, the calculation method of power level are as follows:
If η is load rate of plant, range is 0~1, wherein η=0 indicates equipment work in minimum load, and η=1 indicates equipment work Make in non-energy consumption limit state,
The relationship of load rate of plant and equipment operation power can be obtained according to facility information: unit load rate and unit run power Relationship is Nch(η), chilled water pump rate of load condensate and chilled water pump operation power relation are Nchwp(η), cooling water pump rate of load condensate with it is cold But water pump operation power relation is Ncwp(η), cooling tower load rate and cooling tower operation power relation are Nct(η);
Power level calculating formula are as follows:
Power level 1:Nset1=Ncwp(1)+Nct(1)+Nchwp(0)+Nch(0);
Power level 2:Nset2=Ncwp(0)+Nct(0)+Nchwp(0)+Nch(0);
Power level 3:Nset3=Nchwp(0)。
7. the central air conditioner room control method under energy consumption limit according to claim 6, which is characterized in that the step 7) in, η1Meet: Nch1)+Nchwp1)=Nall(t0)-Ncwp(1)-Nct(1)。
8. the central air conditioner room control method under energy consumption limit according to claim 6, which is characterized in that the step 8) in, η2Meet: Nch2)+Nchwp2)+Ncwp2)+Nct(η2)=Nall(t0)。
CN201710284519.0A 2017-04-25 2017-04-25 Central air conditioner room control method under energy consumption limit Active CN106996623B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710284519.0A CN106996623B (en) 2017-04-25 2017-04-25 Central air conditioner room control method under energy consumption limit

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710284519.0A CN106996623B (en) 2017-04-25 2017-04-25 Central air conditioner room control method under energy consumption limit

Publications (2)

Publication Number Publication Date
CN106996623A CN106996623A (en) 2017-08-01
CN106996623B true CN106996623B (en) 2019-06-21

Family

ID=59435506

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710284519.0A Active CN106996623B (en) 2017-04-25 2017-04-25 Central air conditioner room control method under energy consumption limit

Country Status (1)

Country Link
CN (1) CN106996623B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210224645A1 (en) * 2018-05-28 2021-07-22 Alibaba Group Holding Limited Hierarchical concept based neural network model for data center power usage effectiveness prediction
CN109028472B (en) * 2018-07-19 2021-02-23 青岛海信日立空调***有限公司 Energy-saving control method of air conditioner
CN109631238A (en) * 2019-01-28 2019-04-16 宁波溪棠信息科技有限公司 A kind of control system and control method improving air-conditioning system operational energy efficiency
WO2020198971A1 (en) * 2019-03-29 2020-10-08 亿可能源科技(上海)有限公司 Management method and system, and control method and system for air conditioning system, and storage medium
CN114165896A (en) * 2021-11-23 2022-03-11 无锡多纬智控科技有限公司 Central air-conditioning system electric power dynamic load peak regulation method

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1165939A (en) * 1996-01-10 1997-11-26 三菱电机株式会社 Heat accumulating air conditioner and heat accumulation predictor method
JP3104625B2 (en) * 1996-09-30 2000-10-30 ダイキン工業株式会社 Power calculation device and power calculation method for air conditioner
JP2003322381A (en) * 2002-04-26 2003-11-14 Hitachi Ltd Power rate charging system of air conditioner
CN101078552A (en) * 2006-05-23 2007-11-28 株式会社日立制作所 Control device for air conditioning system
US8473109B1 (en) * 2009-08-21 2013-06-25 Allure Energy, Inc. Apparatus and method for altering an operating window of a device
CN104566868A (en) * 2015-01-27 2015-04-29 徐建成 Central air-conditioning control system and control method thereof
CN106197114A (en) * 2016-07-13 2016-12-07 同济大学 A kind of combination type phase change cold-storage device and use the air conditioning system of this cold-storage device
CN106247546A (en) * 2016-08-10 2016-12-21 立天节能环保(深圳)有限公司 A kind of central air-conditioning implementation method by norm and adjusting means of becoming more meticulous
WO2017062908A1 (en) * 2015-10-08 2017-04-13 Johnson Controls Technology Company Photovoltaic energy system with solar intensity prediction

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2797794C (en) * 2010-05-05 2019-01-15 Greensleeves, LLC Energy chassis and energy exchange device

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1165939A (en) * 1996-01-10 1997-11-26 三菱电机株式会社 Heat accumulating air conditioner and heat accumulation predictor method
JP3104625B2 (en) * 1996-09-30 2000-10-30 ダイキン工業株式会社 Power calculation device and power calculation method for air conditioner
JP2003322381A (en) * 2002-04-26 2003-11-14 Hitachi Ltd Power rate charging system of air conditioner
CN101078552A (en) * 2006-05-23 2007-11-28 株式会社日立制作所 Control device for air conditioning system
US8473109B1 (en) * 2009-08-21 2013-06-25 Allure Energy, Inc. Apparatus and method for altering an operating window of a device
CN104566868A (en) * 2015-01-27 2015-04-29 徐建成 Central air-conditioning control system and control method thereof
WO2017062908A1 (en) * 2015-10-08 2017-04-13 Johnson Controls Technology Company Photovoltaic energy system with solar intensity prediction
CN106197114A (en) * 2016-07-13 2016-12-07 同济大学 A kind of combination type phase change cold-storage device and use the air conditioning system of this cold-storage device
CN106247546A (en) * 2016-08-10 2016-12-21 立天节能环保(深圳)有限公司 A kind of central air-conditioning implementation method by norm and adjusting means of becoming more meticulous

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
重庆市公共建筑能耗定额方法研究;李沁;《中国博士学位论文全文数据库工程科技Ⅱ辑》;20141231;全文

Also Published As

Publication number Publication date
CN106996623A (en) 2017-08-01

Similar Documents

Publication Publication Date Title
CN106996623B (en) Central air conditioner room control method under energy consumption limit
CN107292766B (en) Wind power consumption-oriented power system peak regulation means economical evaluation method and system
CN110322056B (en) Virtual power plant random self-adaptive robust optimization scheduling method considering central air conditioning system
CN104463378B (en) Algorithm for the abundant regional provincial power network wind-power electricity generation digestion capability of hydroelectric resources
CN101021914A (en) Heating ventilating and air conditioner load predicting method and system
CN112611076B (en) Subway station ventilation air conditioner energy-saving control system and method based on ISCS
CN104376412A (en) High energy-consuming enterprise peak regulation control method used in new energy power generation mode
CN111076378A (en) Subway station ventilation air-conditioning energy-saving system and method based on load prediction
CN111340316B (en) Intelligent water supply management method and system
CN107341562A (en) A kind of building energy management system and energy management method for merging demand response
CN110895029A (en) Building load prediction method based on temperature of chilled water
CN113655762A (en) Operation optimization control method and system for gas energy supply system
CN110848895B (en) Non-industrial air conditioner flexible load control method and system
CN112001523A (en) Comprehensive energy multi-scale optimization scheduling control method and system considering multiple energy storages
KR20130118124A (en) Air conditioner and controlling method for the same
CN109507960A (en) A kind of integral intelligent manufacture system based on cloud platform
Zhou et al. Demand response control strategy of groups of central air-conditionings for power grid energy saving
TW201027014A (en) Method for managing air conditioning power consumption
Li et al. Control method of multi-energy system based on layered control architecture
CN114240034A (en) Energy regulation and control method and system for terminal equipment in building
CN211526662U (en) Subway station ventilation air conditioner economizer system based on load prediction
Zou et al. Globally optimal control of hybrid chilled water plants integrated with small-scale thermal energy storage for energy-efficient operation
JP6108665B2 (en) Energy saving system
CN113883688B (en) Central air conditioner control system and method based on demand response
Cai et al. Intra-day Tie-line Scheduling Model Considering New Energy Fluctuation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder
CP01 Change in the name or title of a patent holder

Address after: No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee after: Beijing Qingyun Intelligent Technology Development Co.,Ltd.

Address before: No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee before: BEIJINGQINGKONG JIENENG TECHNOLOGY Co.,Ltd.

CP01 Change in the name or title of a patent holder
CP01 Change in the name or title of a patent holder

Address after: No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee after: Beijing Qingyun Energy Group Co.,Ltd.

Address before: No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee before: Beijing Qingyun Intelligent Technology Development Co.,Ltd.

CP02 Change in the address of a patent holder
CP02 Change in the address of a patent holder

Address after: No. 5009, podium building, floor 5, No. 69, Zizhuyuan Road, Haidian District, Beijing 102206

Patentee after: Beijing Qingyun Energy Group Co.,Ltd.

Address before: No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee before: Beijing Qingyun Energy Group Co.,Ltd.