CN106991515A - A kind of E grades of gas combustion-gas vapor combined cycle unit power consumption analysis method - Google Patents
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Abstract
The present invention is to solve how quantitative analysis Small Indicators parameter is to the influence situations of E grades of gas combustion-gas vapor combined cycle unit heat consumption rates, based on linear method of small deviations, power consumption analysis model is set up to each Small Indicators parameter of gas combustion-gas vapor combined cycle unit, and based on jet dynamic control design parameter and carry out the relation number that optimization operation test acquisition is asked for obtaining, the influence situation Small Indicators parameter to unit economy embodies to be come onto quantitative effect unit heat consumption rate；The a reference value of Small Indicators parameter operation is determined, the parameter value that Small Indicators parameter of the unit in actual moving process should reach is；The actual operating data of each Small Indicators parameter in unit running process and a reference value are substituted into power consumption analysis model, influence situation and heat consumption deviation of each Small Indicators parameter respectively to unit heat consumption rate is quantitatively calculated；Instruct unit operation maintenance personnel more effectively to carry out Energy Efficiency Analysis, energy-saving and emission-reduction work with last result of calculation, ensure that unit is in optimal operational condition.
Description
Technical field
The present invention relates to a kind of E level gas-steam combined circulating generation unit power consumption analysis based on linear method of small deviations
Method, belongs to combined cycle generation system of fuel gas-steam economic indicator examination technical field.
Background technology
At present, power consumption analysis method is used for influence of each influence factor of quantitative analysis to generating set economic performance at home
Situation, makes professional more preferably grasp the operation characteristic of unit, contributes to the economy of generating set to run, but the method is main
For coal unit.With China's constantly Introduced From Abroad gas turbine, domestic gas-steam combined circulating generation unit it is total
Installed capacity is increasing.Domestic heavy combustion engine market based on the E levels of technology transfer cooperation and F grades of combustion engine, 2001~
Between 6 years in 2007, China has introduced the F/ of GE, MHI, Siemens company in 3 " technology is changed in binding bid, market " modes
E grades of heavy duty gas turbines more than 50 cover totally 2,000 ten thousand kilowatts.But structural parameters, performance parameter due to external gas turbine etc. are relevant
Data not external disclosure, so the domestic grasp to gas turbine unit is relatively fewer, and then lacks gas-steam combined is followed
The Economy Quantitative Analysis of ring generating set entirety therrmodynamic system.
At this stage, the research about E grades of gas-steam combined cycle set economic analysis can not meet industrial requirement,
Need to set up Small Indicators parameter respectively on power consumption analysis model, influence of the quantitative analysis Small Indicators parameter to whole unit heat consumption rate
Situation, is instructed and the economy of optimization unit is run.
The content of the invention
This patent is to solve how quantitative analysis Small Indicators parameter is to E grades of gas-steam combined circulating generation unit heat consumptions
The influence situation of rate, this combined cycle generating unit capital equipment is E grades of combustion engine turbines, double pressures without afterburning Natural Circulation waste heat pot
Stove and double pressure adjustable steam extraction condensing turbines.First, based on linear method of small deviations, to integrated gas-steam combined cycle power plant
Each Small Indicators parameter of unit sets up power consumption analysis model, and based on jet dynamic control design parameter and carries out optimization operation test
The relation number for asking for obtaining is obtained, the influence situation Small Indicators parameter to unit economy, which embodies, arrives quantitative effect unit heat consumption
Rate is come up, both can each Small Indicators parameter of qualitative analysis to unit heat consumption rate weighing factor, again can each Small Indicators parameter of quantitative analysis
To unit heat consumption rate influence degree.Secondly, a reference value of Small Indicators parameter operation is determined, unit is in actual moving process
In the parameter value that should reach of Small Indicators parameter.Finally, the actual motion number of each Small Indicators parameter in unit running process
Substitute into power consumption analysis model according to a reference value, quantitatively calculate influence situation of each Small Indicators parameter respectively to unit heat consumption rate and
Heat consumption deviation.Last result of calculation is presented to professional in the form of data acquisition system or data visualization, instructs unit to transport
Dimension personnel more effectively carry out Energy Efficiency Analysis, energy-saving and emission-reduction work, ensure that unit is in optimal operational condition.
This method includes following content：A kind of E grades of gas-steam combined circulating generation unit power consumption analysis method, it is described
E level gas-steam combined circulating generation unit power consumption analysis methods comprise the following steps：
Step 1: based on linear method of small deviations, Small Indicators parameter each to gas-steam combined circulating generation unit sets up consumption
Poor analysis model, and based on jet dynamic control design parameter and carry out the relation number that optimization operation test is obtained, Small Indicators
Influence situation of the parameter to unit economy embodies to be come onto quantitative effect unit heat consumption rate；
Step 2: determining a reference value of Small Indicators parameter operation, Small Indicators of the unit in actual moving process are
The parameter value that parameter should reach；
Step 3: the actual operating data of each Small Indicators parameter in unit running process and a reference value are substituted into power consumption analysis
Model, quantitatively calculates influence situation and heat consumption deviation of each Small Indicators parameter respectively to unit heat consumption rate, result of calculation is with number
Professional is presented to according to the form of set or data visualization, instructs unit operation maintenance personnel more effectively to carry out efficiency point
Analysis, energy-saving and emission-reduction work, ensure that unit is in optimal operational condition.
Step one in described E level gas-steam combined circulating generation unit power consumption analysis methods includes following content：
Assuming that under each Parameter Conditions of certain load, Combined Cycle Unit heat consumption rate is y, and Unit Economic is influenceed under which loading
The parameter of property mainly has x1,x2,...,xi,...xnIncluding environment temperature, combustion gas turbine delivery temperature, high pressure main steam temperature,
High pressure main steam pressure and some other Correlative Influence Factors, then can be expressed as Combined Cycle Unit heat consumption rate：
Y=f (x1,x2,...,xi,...xn)
It is assumed that separate between each parameter, linear independence, and continuous can be led, then the heat consumption rate increment of combined cycle
It is represented by
△xiFor the amount of a certain parameter drift-out a reference value,It is function f along xiThe partial derivative in direction；Each relevant parameter not phase
On the premise of pass, the heat rate deviation sum that each parameter independent change is caused is equal to total heat rate deviation.
Each index in step two in described E level gas-steam combined circulating generation unit power consumption analysis methods
The determination foundation of a reference value of parameter operation includes：The design load of equipment manufacturing, the test value of optimization operation, operational factor
Historical statistics value or variable working condition heating power.
The influence factor of index parameter in described E level gas-steam combined circulating generation unit power consumption analysis methods
Including：
The first kind：It is unrelated with unit load：Steamed including environment temperature, high steam temperature, high-pressure steam pressure, low pressure
Stripping temperature, low-pressure steam pressure, exhaust steam pressure；Such parameter is only when it is design load, and unit operation economy is optimal；
Equations of The Second Kind：It is relevant with unit load, environment temperature and therrmodynamic system structure：With unit load, environment temperature and heat
Force system structure is relevant, changes with the change of unit operation operating mode, so a reference value of such index parameter is, it is necessary to pass through
Carry out optimization operation test or determined according to the historical statistics value of operational factor.
What the power consumption analysis model in described E level gas-steam combined circulating generation unit power consumption analysis methods was related to
All variables, including 5 big types, respectively input value, relation number, a reference value, output valve, and be related to ask for relation number
Intermediate variable Query Value；
For certain unit, selection a period of time, such as the random time such as year, season, the moon, day section, this machine is calculated
Organize influence situation of each Small Indicators in this time to whole unit heat consumption rate；
The influence that each Small Indicators change to heat consumption classify adding up and can respectively obtain combustion engine side, waste heat boiler side and vapour
Pusher side can tie up energy loss and its overall heat consumption change of unit；
And environment temperature is uncontrollable factor, its caused heat consumption, which becomes, turns to uncontrollable energy loss, hot caused by other indexs
It is that can tie up energy loss to consume change；
Influence of each Small Indicators to heat consumption is shown with the diversification expression-form such as data or statistical chart, makes power plant
Technical staff acquires more consumption informations, and corresponding adjustment is made to unit, reaches the effect of energy-saving and emission-reduction.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the power consumption analysis flow in the present invention.
Embodiment
With reference to embodiment, the present invention is described in further detail, following examples be explanation of the invention and
The invention is not limited in following examples.
Embodiment：
A kind of E levels gas-steam combined circulating generation unit consumption difference based on linear method of small deviations that the present invention is provided
Analysis method includes following process：
First, the mathematical analysis model based on linear method of small deviations
From the point of view of mathematical analysis, it is assumed that under each Parameter Conditions of certain load, Combined Cycle Unit heat consumption rate is y,
The parameter of influence unit economy mainly has x under which loading1,x2,...,xi,...xn(environment temperature, combustion gas turbine exhaust temperature
Degree, high pressure main steam temperature, high pressure main steam pressure etc.), then Combined Cycle Unit heat consumption rate can be expressed as：
Y=f (x1,x2,...,xi,...xn)
It is assumed that separate between each parameter, linear independence, and continuous can be led, then the heat consumption rate increment of combined cycle
It is represented by
△xiFor the amount of a certain parameter drift-out a reference value,It is function f along xiThe partial derivative in direction.It can be seen that in each related ginseng
Under the premise of number is incoherent, the heat rate deviation sum that each parameter independent change is caused is equal to total heat rate deviation.
The major influence factors of Combined Cycle Unit performance are mainly distributed in three big equipment, i.e. gas turbine, remaining
Heat boiler, vapor wheel.Wherein gas turbine side has：Environment temperature, combustion gas turbine delivery temperature；Waste heat boiler side has：High pressure master
Steam pressure, high pressure main steam temperature, low pressure main steam pressure, low pressure main steam temperature；Steamer pusher side has：Exhaust steam pressure.It is logical
Influence of the quantitative analysis to these parameter changes to unit heat consumption rate is crossed, can be used for instructing practical operation, so as to improve unit
Performance driving economy.
2nd, each Small Indicators power consumption analysis model
1. environment temperature T0Caused heat rate deviation △ HRT0
wc=CpaT1(πc 0.286-1)/ηc
wt=CpgT3(1-πt -0.248)ηt
πt=φ1φ2φ3πc
In formula,--- heat rate deviation caused by environment temperature [kJ/ (kWh)]；
HRcc--- combined cycle heat consumption rate [kJ/ (kWh)]；
T0--- environment temperature [K]；
T0,base--- environment temperature a reference value [K]；
k1, k2, k3--- relation number [/]；
Wgt--- combustion engine power [MW]；
Wst--- steam turbine power [MW]；
wc--- power input to compressor is than work([kW/kg]；
Gg--- fuel mass flow rates [kg/h]；
Ga--- MAF [kg/h]；
Cpa--- compressor air compression avergae specific heat [kJ/kgK], value 1.004；
T1--- compressor inlet air themperature [K]；
πc--- compressor pressure ratio [/]；
ηc--- compressor compression efficiency [/]；
wt--- turbine is exerted oneself than work([kW/kg]；
Cpg--- combustion engine turbine expansion avergae specific heat [kJ/kgK], value 1.25；
T3--- combustion engine turbine-inlet temperature [K]；
πt--- combustion engine turbine expansion ratio [/]；
ηt--- combustion engine turbine expansion efficiency [/]；
φ1, φ2, φ3--- it is respectively compressor pressurize coefficient [/], combustion chamber pressurize coefficient [/], combustion engine turbine pressurize
Coefficient [/]；
T2--- compressor delivery temperature [K].
2. combustion engine turbine exhaust temperature T4Caused heat rate deviation △ HRT4
In formula,--- heat rate deviation caused by combustion engine turbine exhaust temperature [kJ/ (kWh)]；
T4--- combustion engine turbine exhaust temperature [K]；
T4,base--- combustion engine turbine exhaust temperature reference value [K].
3. high pressure main steam temperature TgpCaused heat rate deviationHigh pressure main steam pressure pgpCaused heat consumption
Rate deviation
High pressure main steam temperature TgpWith high pressure main steam pressure pgpCaused heat rate deviation, can change into high pressure master
Unit heat rate deviation caused by specific steam enthalpy change.Namely high pressure main steam temperature TgpThe heat rate deviation is caused to be
High pressure main steam pressure pgpThe heat rate deviation is caused to be
In formula,--- heat rate deviation caused by high pressure main steam temperature [kJ/ (kWh)]；
--- heat rate deviation caused by high pressure main steam pressure [kJ/ (kWh)]；
k4--- relation number [/]；
--- high pressure main steam temperature TgpHigh pressure main steam specific enthalpy [kJ/kg] under change, can be by high pressure main steam
Temperature TgpWith high pressure main steam pressure a reference value pgp,baseTry to achieve；
--- high pressure main steam pressure pgpHigh pressure main steam specific enthalpy [kJ/kg] under change, can be by high pressure main steam
Pressure pgpWith high pressure main steam temperature a reference value Tgp,baseTry to achieve；
hgp,base--- a reference value [kJ/kg] of high pressure main steam specific enthalpy, can be by high pressure main steam temperature a reference value Tgp,base
With high pressure main steam pressure a reference value pgp,baseTry to achieve；
hpq,base--- a reference value [kJ/kg] of turbine discharge specific enthalpy, can be by steam turbine exhaust pressure a reference value ppq,base
With exhaust mass dryness fraction XpqTry to achieve；
hdp,base--- a reference value [kJ/kg] of low pressure main steam specific enthalpy, can be by low pressure main steam temperature a reference value Tdp,base
With low pressure main steam pressure a reference value pdp,baseTry to achieve；
Ddp--- low pressure main steam flow [t/h]；
Dgp--- high pressure main steam flow [t/h].
4. low pressure main steam temperature TdpCaused heat rate deviationLow pressure main steam pressure pdpCaused heat consumption rate
Deviation
Low pressure main steam temperature TdpWith low pressure main steam pressure pdpCaused heat rate deviation, can change into low pressure master
Unit heat rate deviation caused by specific steam enthalpy change.Namely low pressure main steam temperature TdpThe heat rate deviation is caused to be
Low pressure main steam pressure pdpThe heat rate deviation is caused to be
In formula,--- heat rate deviation caused by low pressure main steam temperature [kJ/ (kWh)]；
--- heat rate deviation caused by low pressure main steam pressure [kJ/ (kWh)]；
k5--- relation number [/]；
--- low pressure main steam temperature TdpLow pressure main steam specific enthalpy [kJ/kg] under change, can be by low pressure main steam
Temperature TdpWith low pressure main steam pressure a reference value pdp,baseTry to achieve；
--- low pressure main steam pressure pdpLow pressure main steam specific enthalpy [kJ/kg] under change, can be by low pressure main steam
Pressure pdpWith low pressure main steam temperature a reference value Tdp,baseTry to achieve.
Back pressure 5. (i.e. steam turbine exhaust pressure) ppqCause heat rate deviation
Back pressure (i.e. steam turbine exhaust pressure) ppqCaused heat rate deviation, changes into turbine discharge specific enthalpy hpqCause
Heat rate deviation.
In formula,--- heat rate deviation [kJ/ (kWh)] caused by back pressure (i.e. steam turbine exhaust pressure)；
hpq--- turbine discharge specific enthalpy [kJ/kg], can be by back pressure (i.e. steam turbine exhaust pressure) a reference value ppqAnd exhaust
Mass dryness fraction XpqTry to achieve.
3rd, a reference value of each Small Indicators is determined
Equipment power consumption analysis is carried out to be effective, clearly each indexed basis value is first had to, so as to provide reason for optimization operation
By guidance.The determination of current power plant running optimizatin a reference value, the design load of Main Basiss equipment manufacturing, the experiment of optimization operation
Value, the historical statistics value of operational factor or variable working condition thermodynamic computing.
1. a reference value of first kind index parameter
The a reference value of first kind index parameter is unrelated with unit load, is steamed comprising environment temperature, high steam temperature, high pressure
Steam pressure, low-pressure steam temperature, low-pressure steam pressure, exhaust steam pressure.Only when it is design load, unit operation economy is most
It is good.Therefore, equipment manufacturing provide design load can as such index parameter a reference value.
2. a reference value of Equations of The Second Kind index parameter
The a reference value of Equations of The Second Kind index parameter, by taking combustion engine turbine exhaust temperature as an example, because with unit load, environment temperature and
Therrmodynamic system structure is relevant, changes with the change of unit operation operating mode, so a reference value of such index parameter is, it is necessary to logical
Cross and carry out optimization operation test or determined according to the historical statistics value of operational factor.
4th, power consumption analysis flow
All variables that above-mentioned each index power consumption analysis model is related to, including 5 big types, respectively input value, relation number,
A reference value, output valve, and to ask for the intermediate variable Query Value that relation number is related to, specifically it is shown in Table 1.
The variable classification that the power consumption analysis model of table 1 is related to
According to power consumption analysis model, using power plant's service data as input value, and related base values and relation number are asked for, can be with
Influence situation of each index parameter to Combined Cycle Unit heat consumption is respectively obtained, its flow is as shown in Figure 1.
Power plant technical staff selects a period of time, such as the random time such as year, season, the moon, day section for certain unit,
Influence situation of each Small Indicators in this time of this unit to whole unit heat consumption rate can be calculated.Each Small Indicators are become
Change influence to heat consumption and carry out that classification is cumulative can be respectively obtained combustion engine side, waste heat boiler side and steam turbine side and can tie up energy loss and its unit
Overall heat consumption change.And environment temperature is uncontrollable factor, its caused heat consumption, which becomes, turns to uncontrollable energy loss, and other indexs cause
Heat consumption change be that can tie up energy loss.By influence of each Small Indicators to heat consumption with the diversification expression-form such as data or statistical chart
Show, power plant technical staff can be made to acquire more consumption informations, and corresponding adjustment is made to unit, reach energy-conservation
The effect of emission reduction.
Furthermore, it is necessary to illustrate, the specific embodiment described in this specification, its parameter named title etc. can not
Together.The equivalent or simple change that all principles according to described in inventional idea of the present invention are done, is included in the protection of patent of the present invention
In the range of.Those skilled in the art described specific embodiment can be made it is various modification or
Supplement or using similar mode substitute, without departing from the present invention structure or surmount model defined in the claims
Enclose, protection scope of the present invention all should be belonged to.
Claims (5)
1. a kind of E grades of gas-steam combined circulating generation unit power consumption analysis method, it is characterised in that：Described E levels combustion gas-
Steam combined cycle power generating unit power consumption analysis method comprises the following steps：
Step 1: based on linear method of small deviations, Small Indicators parameter each to gas-steam combined circulating generation unit sets up consumption difference
Model is analysed, and based on jet dynamic control design parameter and carries out the relation number that optimization operation test is obtained, Small Indicators parameter
Influence situation to unit economy embodies to be come onto quantitative effect unit heat consumption rate；
Step 2: determining a reference value of Small Indicators parameter operation, Small Indicators parameter of the unit in actual moving process is
The parameter value that should be reached；
Step 3: the actual operating data of each Small Indicators parameter in unit running process and a reference value are substituted into power consumption analysis mould
Type, quantitatively calculates influence situation and heat consumption deviation of each Small Indicators parameter respectively to unit heat consumption rate, result of calculation is with data
Set or the form of data visualization are presented to professional, instruct unit operation maintenance personnel more effectively carry out Energy Efficiency Analysis,
Energy-saving and emission-reduction work, and ensure that unit is in optimal operational condition.
2. E grades of gas-steam combined circulating generation unit power consumption analysis method according to claim 1, it is characterised in that：
Described step one includes following content：
Assuming that under each Parameter Conditions of certain load, Combined Cycle Unit heat consumption rate is y, and unit economy is influenceed under which loading
Parameter mainly has x1,x2,...,xi,...xnIncluding environment temperature, combustion gas turbine delivery temperature, high pressure main steam temperature, high pressure
Main steam pressure and some other Correlative Influence Factors, then can be expressed as Combined Cycle Unit heat consumption rate：
Y=f (x1,x2,...,xi,...xn)
It is assumed that separate between each parameter, linear independence, and continuous can be led, then the heat consumption rate increment of combined cycle can table
It is shown as
△xiFor the amount of a certain parameter drift-out a reference value,It is function f along xiThe partial derivative in direction；Each relevant parameter is incoherent
Under the premise of, the heat rate deviation sum that each parameter independent change is caused is equal to total heat rate deviation.
3. E grades of gas-steam combined circulating generation unit power consumption analysis method according to claim 1, it is characterised in that：
The determination foundation of a reference value of each index parameter operation in described step two includes：It is the design load of equipment manufacturing, excellent
Change test value, the historical statistics value of operational factor or the variable working condition heating power of operation.
4. E grades of gas-steam combined circulating generation unit power consumption analysis method according to claim 3, it is characterised in that：
The influence factor of described index parameter includes：
The first kind：It is unrelated with unit load：Including environment temperature, high steam temperature, high-pressure steam pressure, low-pressure steam temperature
Degree, low-pressure steam pressure, exhaust steam pressure；Such parameter is only when it is design load, and unit operation economy is optimal；
Equations of The Second Kind：It is relevant with unit load, environment temperature and therrmodynamic system structure：With unit load, environment temperature and heating power system
Structure of uniting is relevant, changes with the change of unit operation operating mode, so a reference value of such index parameter is, it is necessary to by carrying out
Optimization operation test is determined according to the historical statistics value of operational factor.
5. E grades of gas-steam combined circulating generation unit power consumption analysis method according to claim 1, it is characterised in that：
All variables that described power consumption analysis model is related to, including 5 big types, respectively input value, relation number, a reference value, output
Value, and to ask for the intermediate variable Query Value that relation number is related to；
For certain unit, selection a period of time, such as the random time such as year, season, the moon, day section, calculating this unit should
Each Small Indicators in the section time are to the influence situation of whole unit heat consumption rate；
The influence that each Small Indicators change to heat consumption classify adding up and can respectively obtain combustion engine side, waste heat boiler side and steam turbine side
Energy loss and its overall heat consumption change of unit can be tieed up；
And environment temperature is uncontrollable factor, its caused heat consumption, which becomes, turns to uncontrollable energy loss, and heat consumption caused by other indexs becomes
Change is that can tie up energy loss；
Influence of each Small Indicators to heat consumption is shown with the diversification expression-form such as data or statistical chart, makes power plant's technology
Personnel acquire more consumption informations, and corresponding adjustment is made to unit, reach the effect of energy-saving and emission-reduction.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977527A (en) * | 2017-12-18 | 2018-05-01 | 华润电力湖北有限公司 | A kind of method and apparatus of definite fired power generating unit mark post Value Data |
| CN109252909A (en) * | 2018-08-20 | 2019-01-22 | 上海明华电力技术工程有限公司 | Gas internal-combustion engine and steam turbine combined-cycle power plant benchmark heat consumption assessment method |
| CN110298534A (en) * | 2019-05-09 | 2019-10-01 | 华电电力科学研究院有限公司 | F grades of gas-steam combined circulating generation unit energy consumption index on-line monitorings and power consumption analysis method |
| CN112627921A (en) * | 2020-12-02 | 2021-04-09 | 华电电力科学研究院有限公司 | Operation optimization decision method for gas-steam combined cycle unit |
| CN113011725A (en) * | 2021-03-05 | 2021-06-22 | 华电浙江龙游热电有限公司 | Method for evaluating start-stop operation of combined cycle unit |
| CN113095591A (en) * | 2021-04-29 | 2021-07-09 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
| CN114035434A (en) * | 2021-11-22 | 2022-02-11 | 西南石油大学 | Operation optimization method of gas-steam combined cycle power generation system |
| CN118194692A (en) * | 2024-01-24 | 2024-06-14 | 华能洋浦热电有限公司 | Operation optimization method and device for gas-steam combined cycle unit |
| CN118277937A (en) * | 2024-05-29 | 2024-07-02 | 华能海南发电股份有限公司南山电厂 | Analysis method and system for production operation data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103235986A (en) * | 2013-05-03 | 2013-08-07 | 上海发电设备成套设计研究院 | Operation and consumption optimization method based on boiler safety analysis |
| CN103678915A (en) * | 2013-12-12 | 2014-03-26 | 广东电网公司电力科学研究院 | Thermal power plant generator set varying duty energy consumption analysis method based on approach method |
| CN103745414A (en) * | 2013-12-31 | 2014-04-23 | 湖南大唐先一科技有限公司 | Online scoring method for performance of gas-steam combined circulating power generation unit |
| CN105184087A (en) * | 2015-09-21 | 2015-12-23 | 华北电力科学研究院有限责任公司 | Method and device for calculating influences of changes of environment temperature on coal consumption of coal-fired power generation unit |
| CN106094755A (en) * | 2016-07-08 | 2016-11-09 | 华电电力科学研究院 | A kind of gas combustion-gas vapor combined cycle set remote efficiency diagnostic method based on big data |
-
2016
- 2016-12-19 CN CN201611179700.7A patent/CN106991515A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103235986A (en) * | 2013-05-03 | 2013-08-07 | 上海发电设备成套设计研究院 | Operation and consumption optimization method based on boiler safety analysis |
| CN103678915A (en) * | 2013-12-12 | 2014-03-26 | 广东电网公司电力科学研究院 | Thermal power plant generator set varying duty energy consumption analysis method based on approach method |
| CN103745414A (en) * | 2013-12-31 | 2014-04-23 | 湖南大唐先一科技有限公司 | Online scoring method for performance of gas-steam combined circulating power generation unit |
| CN105184087A (en) * | 2015-09-21 | 2015-12-23 | 华北电力科学研究院有限责任公司 | Method and device for calculating influences of changes of environment temperature on coal consumption of coal-fired power generation unit |
| CN106094755A (en) * | 2016-07-08 | 2016-11-09 | 华电电力科学研究院 | A kind of gas combustion-gas vapor combined cycle set remote efficiency diagnostic method based on big data |
Non-Patent Citations (4)
| Title |
|---|
| DOBZHANSKYI, O.; GOUWS, R.: "Study on energy losses in industrial sector caused by low actual efficiency of induction motors", 《2014 INTERNATIONAL CONFERENCE ON THE ELEVENTH INDUSTRIAL AND COMMERCIAL USE OF ENERGY (ICUE)》 * |
| 徐婷婷; 黎石竹; 雷娇娇; 朱亚迪: "基于大数据的燃气-蒸汽联合循环发电机组远程能效诊断系统", 《华电技术》 * |
| 朱亚迪: "基于支持向量机的燃气-蒸汽联合循环机组的优化运行研究", 《万方数据库.学位论文库》 * |
| 胡海航: "基于IntelliMax智能平台的联合循环机组性能监测诊断系统", 《燃气轮机技术》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977527A (en) * | 2017-12-18 | 2018-05-01 | 华润电力湖北有限公司 | A kind of method and apparatus of definite fired power generating unit mark post Value Data |
| CN107977527B (en) * | 2017-12-18 | 2021-04-02 | 华润电力湖北有限公司 | Method and device for determining benchmarking value data of thermal power generating unit |
| CN109252909A (en) * | 2018-08-20 | 2019-01-22 | 上海明华电力技术工程有限公司 | Gas internal-combustion engine and steam turbine combined-cycle power plant benchmark heat consumption assessment method |
| CN109252909B (en) * | 2018-08-20 | 2020-12-04 | 上海明华电力科技有限公司 | Gas internal combustion engine and steam turbine combined cycle power plant benchmark heat consumption evaluation method |
| CN110298534A (en) * | 2019-05-09 | 2019-10-01 | 华电电力科学研究院有限公司 | F grades of gas-steam combined circulating generation unit energy consumption index on-line monitorings and power consumption analysis method |
| CN112627921A (en) * | 2020-12-02 | 2021-04-09 | 华电电力科学研究院有限公司 | Operation optimization decision method for gas-steam combined cycle unit |
| CN113011725A (en) * | 2021-03-05 | 2021-06-22 | 华电浙江龙游热电有限公司 | Method for evaluating start-stop operation of combined cycle unit |
| CN113095591A (en) * | 2021-04-29 | 2021-07-09 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
| CN113095591B (en) * | 2021-04-29 | 2023-03-21 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
| CN114035434A (en) * | 2021-11-22 | 2022-02-11 | 西南石油大学 | Operation optimization method of gas-steam combined cycle power generation system |
| CN114035434B (en) * | 2021-11-22 | 2023-09-01 | 西南石油大学 | Operation optimization method of gas-steam combined cycle power generation system |
| CN118194692A (en) * | 2024-01-24 | 2024-06-14 | 华能洋浦热电有限公司 | Operation optimization method and device for gas-steam combined cycle unit |
| CN118194692B (en) * | 2024-01-24 | 2024-09-13 | 华能洋浦热电有限公司 | Operation optimization method and device for gas-steam combined cycle unit |
| CN118277937A (en) * | 2024-05-29 | 2024-07-02 | 华能海南发电股份有限公司南山电厂 | Analysis method and system for production operation data |
| CN118277937B (en) * | 2024-05-29 | 2024-09-13 | 华能海南发电股份有限公司南山电厂 | Analysis method and system for production operation data |
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