Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage t...Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage technology in a low-carbon society.An appropriate self-scheduling model can guarantee AA-CAES’s profit and attract investments.However,very few studies refer to the cogeneration ability of AA-CAES,which enables the possibility to trade in the electricity and heat markets at the same time.In this paper,we propose a multimarket self-scheduling model to make full use of heat produced in compressors.The volatile market price is modeled by a set of inexact distributions based on historical data through-divergence.Then,the self-scheduling model is cast as a robust risk constrained program by introducing Stackelberg game theory,and equivalently reformulated as a mixed-integer linear program(MILP).The numerical simulation results validate the proposed method and demonstrate that participating in multienergy markets increases overall profits.The impact of uncertainty parameters is also discussed in the sensibility analysis.展开更多
先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置因具有大容量、寿命长、污染少、成本低等优点而日渐受到关注,其大容量多能联供联储特点与建筑能耗特征相匹配,接入由多建筑微网构成的区域综合能...先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置因具有大容量、寿命长、污染少、成本低等优点而日渐受到关注,其大容量多能联供联储特点与建筑能耗特征相匹配,接入由多建筑微网构成的区域综合能源系统(regional integrated energy system,RIES),两者相得益彰。文章建立了一种含AA-CAES的由多个建筑微网组成的区域综合能源系统模型,考虑压缩空气储能设备储气、储热双荷能状态以建立季节性效率优化模型,对AA-CAES的运行模式进行季节性优化,在区域内多能流平衡约束分析的基础上构建关于系统综合效益最优的二次约束问题,利用Gurobi求解器求解。仿真表明,改进的AA-CAES可协调区域内多个建筑微网的多能优化,提高系统经济性、节能性、环保性,促进可再生能源就地消纳与能源梯级利用。展开更多
先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)是一种清洁的大规模物理储能技术。相对于其他类型的储能技术,AA-CAES技术具有多能流联供的独特特性,这一特性使得其在微型综合能源系统中具有广阔的...先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)是一种清洁的大规模物理储能技术。相对于其他类型的储能技术,AA-CAES技术具有多能流联供的独特特性,这一特性使得其在微型综合能源系统中具有广阔的应用前景。考虑AA-CAES电站的多能联供特性,研究了含AA-CAES电站的微型综合能源系统优化调度策略。介绍了含AA-CAES电站的微型综合能源系统基本构成;基于AA-CAES电站的实际热力学过程,构建AA-CAES电站的冷热电多能流联合调度约束模型;在此基础上,以最小化系统运行成本为目标,建立含AA-CAES电站的微型综合能源系统优化调度模型;最后,采用天津中新生态城的数据进行模型验证。展开更多
With growing public awareness of decarbonization and increasing penetration of renewable generation,energy storage is in great need.Advanced adiabatic compressed air energy storage(AA-CAES)is capable of producing powe...With growing public awareness of decarbonization and increasing penetration of renewable generation,energy storage is in great need.Advanced adiabatic compressed air energy storage(AA-CAES)is capable of producing power,heating and cooling,making it an ideal choice of an environmental-friendly energy hub.This paper proposes an energy and exergy efficiency analysis for an AA-CAES based trigeneration energy hub.Impact of power storage and heat load supply rates on energy output efficiency and total exergy losses are analyzed.Based on the proposed model,optimal configuration of power storage and heat load supply rates can be determined under different purposes.According to basic thermodynamic principles,the proposed method calculates trigeneration capability estimates considering energy grade difference and multi-dimension energy distribution,which can demonstrate more energy conversion properties of the system.Case studies verify that the proposed method can provide various characteristic analyses for an energy hub and its application in actual systems proves computation accuracy.Integrative energy efficiency is improved compared to pursuing maximum electricity-to-electricity efficiency.展开更多
The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated ...The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated with advanced adiabatic compressed air energy storage(AA-CAES)technology as a join to connect with wind energy generation and an internal-combustion engine(ICE).The capital cost of utilities,energy cost,environmental protection cost and primary energy savings ratio(P E S R)are used as system performance indicators.To fulfill the cooling,heating and power requirements of a district and consider the thermal-electric coupling of ICE and AA-CAES in CCHP system,three operation strategies are established to schedule the dispatch of AA-CAES and ICE:ICE priority operation strategy,CAES priority operation strategy and simultaneous operation strategy.Each strategy leads the operation load of AA-CAES or ICE to improve the energy supply efficiency of the system.Moreover,to minimize comprehensive costs and maximize the P E S R,a novel optimization algorithm based on intelligent updating multi-objective differential evolution(MODE)is proposed to solve the optimization model.Considering the multi-interface characteristic and active management ability of the ICE and AA-CAES,the economic benefits and energy efficiency of the three operation strategies are compared by the simulation with the same system configuration.On a typical summer day,the simultaneous strategy is the best solution as the total cost is 3643 USD and the P E S R is 66.1%,while on a typical winter day,the ICE priority strategy is the best solution as the total cost is 4529 USD and the P E S R is 64.4%.The proposed methodology provides the CCHP based AA-CAES system with a better optimized operation.展开更多
基金supported in part by National Key R&D Program of China(2020YFD1100500)National Natural Science Foundation of China(under Grant 51621065 and 51807101)in part by State Grid Anhui Electric Power Co.,Ltd.Science and Technology Project“Research on grid-connected operation and market mechanism of compressed air energy storage”under Grant 521205180021.
文摘Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage technology in a low-carbon society.An appropriate self-scheduling model can guarantee AA-CAES’s profit and attract investments.However,very few studies refer to the cogeneration ability of AA-CAES,which enables the possibility to trade in the electricity and heat markets at the same time.In this paper,we propose a multimarket self-scheduling model to make full use of heat produced in compressors.The volatile market price is modeled by a set of inexact distributions based on historical data through-divergence.Then,the self-scheduling model is cast as a robust risk constrained program by introducing Stackelberg game theory,and equivalently reformulated as a mixed-integer linear program(MILP).The numerical simulation results validate the proposed method and demonstrate that participating in multienergy markets increases overall profits.The impact of uncertainty parameters is also discussed in the sensibility analysis.
文摘先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置因具有大容量、寿命长、污染少、成本低等优点而日渐受到关注,其大容量多能联供联储特点与建筑能耗特征相匹配,接入由多建筑微网构成的区域综合能源系统(regional integrated energy system,RIES),两者相得益彰。文章建立了一种含AA-CAES的由多个建筑微网组成的区域综合能源系统模型,考虑压缩空气储能设备储气、储热双荷能状态以建立季节性效率优化模型,对AA-CAES的运行模式进行季节性优化,在区域内多能流平衡约束分析的基础上构建关于系统综合效益最优的二次约束问题,利用Gurobi求解器求解。仿真表明,改进的AA-CAES可协调区域内多个建筑微网的多能优化,提高系统经济性、节能性、环保性,促进可再生能源就地消纳与能源梯级利用。
文摘先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)是一种清洁的大规模物理储能技术。相对于其他类型的储能技术,AA-CAES技术具有多能流联供的独特特性,这一特性使得其在微型综合能源系统中具有广阔的应用前景。考虑AA-CAES电站的多能联供特性,研究了含AA-CAES电站的微型综合能源系统优化调度策略。介绍了含AA-CAES电站的微型综合能源系统基本构成;基于AA-CAES电站的实际热力学过程,构建AA-CAES电站的冷热电多能流联合调度约束模型;在此基础上,以最小化系统运行成本为目标,建立含AA-CAES电站的微型综合能源系统优化调度模型;最后,采用天津中新生态城的数据进行模型验证。
基金the National Key Research and Development Program of China(2021YFB2400701)in part by the National Natural Science Foundation of China(51807101).
文摘With growing public awareness of decarbonization and increasing penetration of renewable generation,energy storage is in great need.Advanced adiabatic compressed air energy storage(AA-CAES)is capable of producing power,heating and cooling,making it an ideal choice of an environmental-friendly energy hub.This paper proposes an energy and exergy efficiency analysis for an AA-CAES based trigeneration energy hub.Impact of power storage and heat load supply rates on energy output efficiency and total exergy losses are analyzed.Based on the proposed model,optimal configuration of power storage and heat load supply rates can be determined under different purposes.According to basic thermodynamic principles,the proposed method calculates trigeneration capability estimates considering energy grade difference and multi-dimension energy distribution,which can demonstrate more energy conversion properties of the system.Case studies verify that the proposed method can provide various characteristic analyses for an energy hub and its application in actual systems proves computation accuracy.Integrative energy efficiency is improved compared to pursuing maximum electricity-to-electricity efficiency.
基金The work was supported by the National Fundamental Research Program of China 973 project(2014CB249201).
文摘The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated with advanced adiabatic compressed air energy storage(AA-CAES)technology as a join to connect with wind energy generation and an internal-combustion engine(ICE).The capital cost of utilities,energy cost,environmental protection cost and primary energy savings ratio(P E S R)are used as system performance indicators.To fulfill the cooling,heating and power requirements of a district and consider the thermal-electric coupling of ICE and AA-CAES in CCHP system,three operation strategies are established to schedule the dispatch of AA-CAES and ICE:ICE priority operation strategy,CAES priority operation strategy and simultaneous operation strategy.Each strategy leads the operation load of AA-CAES or ICE to improve the energy supply efficiency of the system.Moreover,to minimize comprehensive costs and maximize the P E S R,a novel optimization algorithm based on intelligent updating multi-objective differential evolution(MODE)is proposed to solve the optimization model.Considering the multi-interface characteristic and active management ability of the ICE and AA-CAES,the economic benefits and energy efficiency of the three operation strategies are compared by the simulation with the same system configuration.On a typical summer day,the simultaneous strategy is the best solution as the total cost is 3643 USD and the P E S R is 66.1%,while on a typical winter day,the ICE priority strategy is the best solution as the total cost is 4529 USD and the P E S R is 64.4%.The proposed methodology provides the CCHP based AA-CAES system with a better optimized operation.
