CN103353903A - Heating index evaluation method and system for turbine machine room in million kilowatt unit nuclear power station - Google Patents
Heating index evaluation method and system for turbine machine room in million kilowatt unit nuclear power station Download PDFInfo
- Publication number
- CN103353903A CN103353903A CN2013100695913A CN201310069591A CN103353903A CN 103353903 A CN103353903 A CN 103353903A CN 2013100695913 A CN2013100695913 A CN 2013100695913A CN 201310069591 A CN201310069591 A CN 201310069591A CN 103353903 A CN103353903 A CN 103353903A
- Authority
- CN
- China
- Prior art keywords
- heating
- unit
- index
- steam turbine
- nuclear 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.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a heating index evaluation method and system for a turbine machine room in a million kilowatt unit nuclear power station. The method comprises the following steps: inputting a simulation parameter according to a heating and ventilation standard of a thermal power plant or a preset heating index table, and the simulation parameter comprises the unit capacity and a heating index corresponding to the unit capacity; building various heating index modules, conducting data fitting to the simulation parameters respectively, and computing the fitting coefficient; judging the best module according to the fitting coefficient, and conducting evaluation according to the field unite equipment parameter. Through the adoption of the method and system provided by the invention, tedious computing of a production drawing is overcome, heating evaluation is realized fast and conveniently, and the technique blanking is filled.
Description
Technical field
The present invention relates to fuel-burning power plant heating and ventilation and In Air Conditioning Design technology, particularly relate to 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedure and systems.
Background technology
A few days ago, China is the strategic position of clear and definite nuclear power in the national energy structure first, determined the policy of " actively pushing forward Construction of Nuclear Electricity ", for nuclear power developing has indicated direction.Construction of Nuclear Electricity has entered the new stage of a high speed development, and this is indicating the tide that China will start Construction of Nuclear Electricity, and the district will build nuclear power station more.From the geographic position, the nuclear power station of the at present built generating of China all is in relatively warm south and middle part, but under the large situation of nuclear power developing, also necessarily has increasing nuclear power station and build at north cold area.If be in the regional Development of Nuclear Energy Power Plant in the north at these, winter is relatively cold, has ice period, and according to existing " heating and ventilation and In Air Conditioning Design standard " regulation (GB50019-2003), factory building need to arrange central heating.The domestic correlative study that does not also have the nuclear power station heating load to calculate particularly aspect 1,000,000 grades nuclear power station conventional island factory building heating, is still blank but at present.
And, present national standard " fuel-burning power plant heating and ventilation and In Air Conditioning Design technical regulation " (DL/T5035-2004), as also only providing the heating heating index data of 600MW steamer machine room among Fig. 1, shortage is to the research of 1000MW power generator turbine room heating heating index, the calculating of the heating of more can't being correlated with.
Summary of the invention
Based on this, be necessary for the problems referred to above, a kind of 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedure and systems are provided, can obtain 1000MW unit steam turbine for nuclear power station room heating heating index, carry out rapidly, easily the heating assessment, fill up technological gap.
A kind of 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures comprise:
According to fuel-burning power plant heating and ventilation standard or default heating heating index table, input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
Set up various heating heating index models, respectively described analog parameter is carried out data fitting, the digital simulation coefficient;
Judge best model according to described fitting coefficient, assess according to the unit equipment parameter at scene.
Correspondingly, a kind of 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems comprise:
Parameter acquisition unit is used for according to fuel-burning power plant heating and ventilation standard or default heating heating index table, and input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
The data fitting unit that links to each other with described parameter acquisition unit is used for setting up various heating heating index models, respectively described analog parameter is carried out data fitting, the digital simulation coefficient;
The model evaluation unit that links to each other with described data fitting unit is used for judging best model according to described fitting coefficient, assesses according to the unit equipment parameter at scene.
Implement the present invention, have following beneficial effect:
The present invention is by the data target according to existing 600MW steamer machine room, and the heating situation of 1,000,000 unit nuclear power stations is assessed in simulation.In the situation that can't provide 1,000,000 ready-made units to carry out the external condition input, present technique finds a new way, and simulates assessment with the method for science.Overcome the troublesome calculation to working drawing, realized rapidly, easily the heating assessment, filled up technological gap.
Description of drawings
Fig. 1 is main building heating heating index Parameter Map of the present invention;
Fig. 2 is the process flow diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures;
Fig. 3 is the embodiment process flow diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures;
Fig. 4 is heating heating index figure;
Fig. 5 is the logarithmic model curve map;
Fig. 6 is the schematic diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems;
Fig. 7 is the embodiment schematic diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with accompanying drawing.
Fig. 1 is main building heating heating index Parameter Map of the present invention.At present, the steam turbine building heating load is calculated dual mode:
One, heating index method, utilize general design experiences heating index value (area heating index or volume heating index) estimation thermal load, this kind method is generally in feasibility study, concept phase, in order to determine the steam consumption of heating system, or can use when heat network system load data is provided.And present national standard standard has only provided the heating heating index data of 600MW steamer machine room, and the data of 1000MW power generator turbine room heating heating index can not be provided;
Two, calculate in strict accordance with the heat transfer across wall amount of buildings, calculate the basic heat loss (comprising exterior wall heat consumption, exterior window heat consumption, gate heat consumption, roofing heat consumption, ground heat consumption etc.) of the building enclosure of factory building, the data such as adiabatic humidification (comprising height adiabatic humidification, Air Infiltration adiabatic humidification etc.), by the final detailed anti-factory building heating heating index of releasing of data, the thermic load value that this kind method is calculated is comparatively accurate, generally adopts in the working drawing stage.When this kind computing method only externally possess detailed input data, just can carry out, and comparatively loaded down with trivial details.
Fig. 2 is the process flow diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures, comprising:
S101: according to fuel-burning power plant heating and ventilation standard or default heating heating index table, input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
S102: set up various heating heating index models, respectively described analog parameter is carried out data fitting, the digital simulation coefficient;
S103: judge best model according to described fitting coefficient, assess according to the unit equipment parameter at scene.
The present invention is by the data target according to existing 600MW steamer machine room, and the heating situation of 1,000,000 unit nuclear power stations is assessed in simulation.In the situation that can't provide 1,000,000 ready-made units to carry out the external condition input, present technique finds a new way, and utilizes the counter heating index of extrapolating 1,000,000 unit capacities of data fitting method of science.Overcome the troublesome calculation to working drawing, realized rapidly, easily the heating assessment, filled up technological gap.
Fig. 3 is the embodiment process flow diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures.Compare with Fig. 2, Fig. 3 is the schematic diagram of the embodiment of the invention.
S201: according to fuel-burning power plant heating and ventilation standard or default heating heating index table, input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
S202: in plane coordinate system, set up respectively logarithmic function model, linear function model, polynomial function model, power function model, exponential Function Model;
S203: in the same plane coordinate system, draw discrete distributed points according to described analog parameter;
S204: carry out match according to described discrete distributed points, show matched curve, the digital simulation coefficient;
S205: judge best model according to described fitting coefficient, assess according to the unit equipment parameter at scene;
S206: according to coefficient of heat conductivity and the thickness of exterior wall, roofing, and the factory building estimating temperature, the heat consumption of calculating building enclosure;
S207: Heating Load under computed altitude adiabatic humidification, heat loss by infiltration and the steam turbine building damage, obtain the adiabatic humidification of building enclosure;
S208: according to described heat consumption and the described adiabatic humidification of building enclosure, the assessment result of described best model is adjusted.
According to " fuel-burning power plant heating and ventilation and In Air Conditioning Design technical regulation " (DL/T5035-2004) H.1, input fuel-burning power plant steam turbine building heating heating index q1 value and the unit capacity table of comparisons 1.
Table 1 heating heating index table
Draw discrete distributed points, output heating heating index random groups volume change curve such as Fig. 4 heating heating index figure according to described analog parameter.The increase of e-quipment and pipe and increasing in the steam turbine building, the factory building space also enlarges thereupon, 5 ℃ of the Heating Load guarantee indoor heating temperature that needs are larger like this.
Then, by above curve map 4 characteristics, we set up respectively five kinds of function models (logarithm, linear, polynomial expression, power, index), show matched curve.
Represent regression coefficient with R2, the fitting degree of function and scatter diagram, R2 is more better near 1 fitting degree.
At present, we need to obtain best actual matched curve function, consider fitting degree and the steam turbine building heating index value actual features of mathematics, three rank polynomial type curves, although the R2 value is 1, to analyze from steam turbine building Heating Load trend actual conditions, this value can not reduce along with unit capacity increases, and can not have maximal value, so be not the best-fit function.Other formal model functions are analyzed, can be found out that the logarithmic curve can reflect trend and the trend of raw data, and R2 is near 1, fitting degree is best, still think that the logarithmic curve is optimum fit curve, its formula is:
y=16075Ln(x)-44388
In the formula: y-heating heating index, W/ ℃;
X-unit capacity, MW;
Calculate that the heating heating index is 66654W/ ℃ when unit capacity is 1000MW.
Further, specifically carry out the steam turbine building Heating Load according to each building enclosure form of steam turbine building and calculated, adopted actual in detail computational data to come adjusting above-mentioned evaluation index data.
Simulation steam turbine factory building peripheral structure Parameter Conditions is as follows:
1) exterior wall: adopt the thick oscillation of 300mm, coefficient of heat conductivity 0.58W/m ℃, the above exterior wall of 11.0m adopts the double-deck aluminum-zinc alloy profiled sheet of band insulation, and heat-insulation layer adopts the thick superfine glass silk flosssilk wadding volume of 100mm felt, and leading heat is number＜=0.038W/m ℃;
2) roofing: the steam turbine building roofing is the double-deck aluminum-zinc alloy profiled sheet of band insulation, and heat-insulation layer adopts the thick superfine glass silk flosssilk wadding volume of 100mm felt, coefficient of heat conductivity≤0.038W/m ℃;
3) plant designing accounting temperature: 5 ℃
The calculating of main building space heating load should comprise two contents--basic heat loss and the building enclosure adiabatic humidification of building enclosure:
One, the basic heat loss of building enclosure calculates
Building enclosure basic heat loss Q ' comprises wall, window, door, floor, roofing, ground etc.
Q′=κ×F×(t
n-t
w)×α
The basic heat loss of-----building enclosure in the formula: Q ', W;
κ---heat transfer coefficient of-----building enclosure, W/m2 ℃;
α in the formula
n------building enclosure heat exchange coefficient of interior surface, W/m2 ℃;
α
w------building enclosure outside surface coefficient of heat transfer, W/m2 ℃;
δ
iThe thickness of-------building enclosure layers of material, m;
λ
iThe coefficient of heat conductivity of-------building enclosure layers of material, W/m ℃;
t
n, t
w----indoor and outdoor heating temperature, ℃, tn gets 5 ℃;
α---the temperature difference correction factor of------building enclosure;
The heat transfer area of F---------building enclosure, m2.
Exterior wall: to the north of exterior wall be example, be calculated as follows in detail:
Because the Beijing Foreign Language Studies University wall is comprised of two parts, 11.0m is following to be the thick oscillation of 300mm, and the hot Xi Shuo＜=0.038W/m of Dao ℃, heat transfer coefficient is got 1.48W/m2 ℃; 11.0m above exterior wall is the double-deck aluminum-zinc alloy profiled sheet of band insulation, heat-insulation layer employing superfine glass silk flosssilk wadding volume felt (band one-way reinforced In Aluminium Foil Packing, and full sticking), leading heat is number＜=0.038W/m ℃, heat transfer coefficient is got 0.358W/m2 ℃.
Therefore: Q '=564 * 1.48 * (5-(-13.5)) * 1+1687.2 * 0.358 * (5-(-13.5)) * 1=26616W
Beijing Foreign Language Studies University door: Q '=84 * 4.5 * (5-(-13.5)) * 1=6993W
Beijing Foreign Language Studies University window: Q '=134 * 3.49 * (5-(-13.5)) * 1=8652W
Roofing: Q '=6974.6 * 0.358 * (5-(-13.5)) * 1=46193W
Ground: adopt the area method to calculate, be divided into four areas.
Q′=684×0.47×（5-（-13.5））×1+636×0.23×（5-（-13.5））×1+588×0.12×（5-（-13.5））×1+4182×0.07×（5-（-13.5））×1=15375W
So, steam turbine building building enclosure basic heat loss Q1 ' total 282494W.
Two, building enclosure adiabatic humidification
1) height adiabatic humidification
According to the 7th page of DL/T5035-2004, the Air Infiltration adiabatic humidification can calculate by 15% of basic heat loss, therefore:
Q1′=282494×15％=42374.1W
2) heat loss by infiltration calculates
According to the 7th page of DL/T5035-2004, the Air Infiltration adiabatic humidification can calculate by 50% of basic heat loss.Therefore:
Q1′=282494×50％=141247W
Therefore, the heating total heat duties amounts to Q1 '=466116W under the steam turbine building nominal situation
3) Heating Load calculates under the steam turbine building damage
The main building Heating Load; not only to satisfy accidental conditions; and should be able to adapt to damage; as between the starting period, between down period and during the overhaul etc.; so according to " fuel-burning power plant and electric substation's heating-ventilation-air-conditioning design manual " 2001 editions the 10th page; its parasitic thermal load is 1.5-2.0 times of normal space heating load, can get the small value at cold district.
Therefore: Q1 '=466116 * 1.5=699174W
To sum up: steam turbine building heating total heat duties Q1 '=1165kW
Simultaneously, estimation heating index method is 5 ℃ of the minimum maintenances of 66654 * (5-(13.4))=1226kW(factory building for this area's 1,000,000 unit steam turbine building Heating Loads more than adopting).According to these two groups of data, judge smaller than the load value 1226kW of above-mentioned assessment result, behind two groups of data Calculation Comparisons, results of numerical model calculation and results of calculation, error rate is less than 5%, result shown in Fig. 5 logarithmic model curve map.This has proved that the method has more science with reference to property, whereby the above-mentioned assessment result that calculates is adjusted again, with realistic demand, but has more reference value.
Fig. 6 is the schematic diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems, comprising:
Parameter acquisition unit is used for according to fuel-burning power plant heating and ventilation standard or default heating heating index table, and input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
The data fitting unit that links to each other with described parameter acquisition unit is used for setting up various heating heating index models, respectively described analog parameter is carried out data fitting, the digital simulation coefficient;
The model evaluation unit that links to each other with described data fitting unit is used for judging best model according to described fitting coefficient, assesses according to the unit equipment parameter at scene.
Fig. 6 is corresponding with Fig. 2, identical among the figure in the method for operation of unit and the method.
Fig. 7 is the embodiment schematic diagram of the present invention's 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems.
As shown in Figure 7, described data fitting unit comprises:
The model construction unit is used for setting up respectively logarithmic function model, linear function model, polynomial function model, power function model, exponential Function Model at plane coordinate system;
The graphic modeling unit that links to each other with described parameter acquisition unit is used at the same plane coordinate system, draws discrete distributed points according to described analog parameter;
With the curve unit that described model construction unit, described graphic modeling unit link to each other respectively, be used for carrying out match according to described discrete distributed points, show matched curve.
As shown in Figure 7, described model evaluation unit also comprises:
The Heat consumption calculation unit is used for coefficient of heat conductivity and thickness according to exterior wall, roofing, and the factory building estimating temperature, calculates the heat consumption of building enclosure;
The additional amount computing unit is used for Heating Load under computed altitude adiabatic humidification, heat loss by infiltration and the steam turbine building damage, obtains the adiabatic humidification of building enclosure;
As a result adjustment unit with described Heat consumption calculation unit, described additional amount computing unit link to each other respectively is used for described heat consumption and described adiabatic humidification according to building enclosure, and the assessment result of described best model is adjusted.
Fig. 7 is corresponding with Fig. 3, identical among the figure in the method for operation of unit and the method.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (6)
1. a unit steam turbine for nuclear power station room heating heating index appraisal procedure is characterized in that, comprising:
According to fuel-burning power plant heating and ventilation standard or default heating heating index table, input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
Set up various heating heating index models, respectively described analog parameter is carried out data fitting, the digital simulation coefficient;
Judge best model according to described fitting coefficient, assess according to the unit equipment parameter at scene.
2. 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures according to claim 1 is characterized in that, set up various heating heating index models, respectively described analog parameter are carried out the step of data fitting, comprising:
In plane coordinate system, set up respectively logarithmic function model, linear function model, polynomial function model, power function model, exponential Function Model;
In the same plane coordinate system, draw discrete distributed points according to described analog parameter;
Carry out match according to described discrete distributed points, show matched curve.
3. 1,000,000 unit steam turbine for nuclear power station room heating heating index appraisal procedures according to claim 1 and 2 is characterized in that, the step according to the unit equipment parameter at scene is assessed also comprises:
According to coefficient of heat conductivity and the thickness of exterior wall, roofing, and the factory building estimating temperature, the heat consumption of calculating building enclosure;
Heating Load under computed altitude adiabatic humidification, heat loss by infiltration and the steam turbine building damage obtains the adiabatic humidification of building enclosure;
According to described heat consumption and the described adiabatic humidification of building enclosure, the assessment result of described best model is adjusted.
4. a unit steam turbine for nuclear power station room heating heating index evaluating system is characterized in that, comprising:
Parameter acquisition unit is used for according to fuel-burning power plant heating and ventilation standard or default heating heating index table, and input analog parameter, this analog parameter comprise unit capacity and corresponding heating heating index with it;
The data fitting unit that links to each other with described parameter acquisition unit is used for setting up various heating heating index models, respectively described analog parameter is carried out data fitting, the digital simulation coefficient;
The model evaluation unit that links to each other with described data fitting unit is used for judging best model according to described fitting coefficient, assesses according to the unit equipment parameter at scene.
5. 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems according to claim 4 is characterized in that, described data fitting unit comprises:
The model construction unit is used for setting up respectively logarithmic function model, linear function model, polynomial function model, power function model, exponential Function Model at plane coordinate system;
The graphic modeling unit that links to each other with described parameter acquisition unit is used at the same plane coordinate system, draws discrete distributed points according to described analog parameter;
With the curve unit that described model construction unit, described graphic modeling unit link to each other respectively, be used for carrying out match according to described discrete distributed points, show matched curve.
6. according to claim 4 or 5 described 1,000,000 unit steam turbine for nuclear power station room heating heating index evaluating systems, it is characterized in that, described model evaluation unit also comprises:
The Heat consumption calculation unit is used for coefficient of heat conductivity and thickness according to exterior wall, roofing, and the factory building estimating temperature, calculates the heat consumption of building enclosure;
The additional amount computing unit is used for Heating Load under computed altitude adiabatic humidification, heat loss by infiltration and the steam turbine building damage, obtains the adiabatic humidification of building enclosure;
As a result adjustment unit with described Heat consumption calculation unit, described additional amount computing unit link to each other respectively is used for described heat consumption and described adiabatic humidification according to building enclosure, and the assessment result of described best model is adjusted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100695913A CN103353903A (en) | 2013-03-05 | 2013-03-05 | Heating index evaluation method and system for turbine machine room in million kilowatt unit nuclear power station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100695913A CN103353903A (en) | 2013-03-05 | 2013-03-05 | Heating index evaluation method and system for turbine machine room in million kilowatt unit nuclear power station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103353903A true CN103353903A (en) | 2013-10-16 |
Family
ID=49310275
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013100695913A Pending CN103353903A (en) | 2013-03-05 | 2013-03-05 | Heating index evaluation method and system for turbine machine room in million kilowatt unit nuclear power station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103353903A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104791903A (en) * | 2015-04-30 | 2015-07-22 | 北京上庄燃气热电有限公司 | Intelligent heating network dispatching system |
| CN105389472A (en) * | 2015-12-05 | 2016-03-09 | 内蒙古电力勘测设计院有限责任公司 | Calculation method of thermal power plant heating load |
-
2013
- 2013-03-05 CN CN2013100695913A patent/CN103353903A/en active Pending
Non-Patent Citations (4)
| Title |
|---|
| 中华人民共和国国家发展和改革委员会: "《火力发电厂采暖通风与空气调节设计技术规程》", 9 March 2004, 中国电力出版社 * |
| 吴宗敏: "《散乱数据拟合的模型、方法和理论》", 31 January 2007, 科学出版社 * |
| 李善化，等: "《火力发电厂及变电所供热通风空调设计手》", 1 January 2001 * |
| 黄挺: ""百万机组核电站汽轮机房采暖热指标取值分析研究"", 《发电与空调》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104791903A (en) * | 2015-04-30 | 2015-07-22 | 北京上庄燃气热电有限公司 | Intelligent heating network dispatching system |
| CN104791903B (en) * | 2015-04-30 | 2018-04-06 | 北京上庄燃气热电有限公司 | A kind of heat supply network intelligent dispatching system |
| CN105389472A (en) * | 2015-12-05 | 2016-03-09 | 内蒙古电力勘测设计院有限责任公司 | Calculation method of thermal power plant heating load |
| CN105389472B (en) * | 2015-12-05 | 2018-10-26 | 内蒙古电力勘测设计院有限责任公司 | The computational methods of thermal power plant's heating load |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Anvari-Moghaddam et al. | Cost-effective and comfort-aware residential energy management under different pricing schemes and weather conditions | |
| Cellura et al. | Different energy balances for the redesign of nearly net zero energy buildings: An Italian case study | |
| CN113222227B (en) | Building comprehensive energy system scheduling method based on building characteristics and virtual power plant | |
| Campana et al. | Optimization of a residential district with special consideration on energy and water reliability | |
| CN109472050A (en) | Co-generation unit incorporation time scale dispatching method based on thermal inertia | |
| Jones et al. | Towards zero carbon design in offices: Integrating smart facades, ventilation, and surface heating and cooling | |
| Olesen et al. | Dynamic Evaluation of the Cooling Capacity of Thermo-Active Building Systems. | |
| Chai et al. | Differential evolution-based system design optimization for net zero energy buildings under climate change | |
| CN104680001A (en) | Method for calculating architectural energy saving rate based on human body thermal adaptive model | |
| CN111457463A (en) | Heat accumulating type electric heating optimization control method without power failure and power outage | |
| Ni et al. | The operational performance of net zero energy wooden structure building in the severe cold zone: A case study in Hailar of China | |
| CN112990574A (en) | Assessment method and system based on building energy consumption flexible adjustment potential index | |
| Chen et al. | Optimal scheduling strategy of a regional integrated energy system considering renewable energy uncertainty and heat network transmission characteristics | |
| Tarragona et al. | Economic evaluation of a hybrid heating system in different climate zones based on model predictive control | |
| CN110797917A (en) | Scheduling model of electric heating combined system | |
| Wang et al. | Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas | |
| Xue et al. | Interactive building load management for smart grid | |
| Kokogiannakis et al. | Support for the integration of green roof constructions within Chinese building energy performance policies | |
| CN114048908B (en) | Multi-time scale reinforcement interval optimization method for unified power grid-distributed heat supply network system | |
| CN113065190B (en) | Uncertainty-based residential building heat supply amount calculation method | |
| Yu et al. | Experimental verification of state space model and thermal performance analysis for active solar walls | |
| CN103353903A (en) | Heating index evaluation method and system for turbine machine room in million kilowatt unit nuclear power station | |
| Han et al. | Evaluation on determination method of current climate design conditions in China based on indoor thermal environment risk level | |
| CN115234973A (en) | Method for determining dynamic heat supply strategy of heat supply network | |
| Yang et al. | Model Predictive Control for Price-Based Demand-Responsive Building Control by Leveraging Active Latent Heat Storage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 510663 Luogang District, Guangdong, Guangzhou Science City Fung Road, No. 1, No. Applicant after: Company limited of China Energy Engineering Group Guangdong Electric Power Design Institute Address before: 510663 Luogang District, Guangdong, Guangzhou Science City Fung Road, No. 1, No. Applicant before: Guangdong Electric Power Design Institute of CEEC |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: CHINA ENERGY ENGINEERING GROUP GUANGDONG ELECTRIC POWER DESIGN INSTITUTE TO: CHINA ENERGY ENGINEERING GROUP GUANGDONG ELECTRIC POWER DESIGN INSTITUTE CO., LTD. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20131016 |