Research on the optimal operation strategy of CCHP-ORC systems
The ratio of electricity to thermal energy output is a very important impact for the performances of the combined cooling,heating,and power(CCHP)system,and the system efficiency would reach the maximum value if the energy outputs of the CCHP systems just match the energy requirements of users.However,this ideal situation is rare to be achieved in practice because the load demands change with a lot of factors.To further improve the using efficiency of the excess thermal energy from the combined cooling,heating,and power system,an active method,which adds the organic Rankine cycle(ORC)equipment in the CCHP system,is proposed.A complementary configuration of this CCHP-ORC is also investigated.The obviously feature of the CCHP-ORC system is that the ratio of electricity to thermal energy output can be adjusted through changing the loads of the electric chiller and the ORC equipment dynamically.The CCHP-ORC system is a multiple input and multiple output(MIMO)system.The system dynamics can be described in a matrix form to facilitate the optimisation-based energy flow coordination.The optimal energy injection and flow are determined by optimizing various dispatch factors.The optimisation problem of minimizing the evaluation criteria function is solved using sequential quadratic programming(SQP)algorithms by designing the multi-objective functions and determining constraints.Comprehensive case studies are conducted based on a hypothetical CCHP-ORC system.The study results reveal that the effectiveness and economic efficiency of the proposed approaches outperform those obtained from conventional CCHP systems.
Combined cooling heating and power(CCHP) Organic Rankine cycle(ORC) Matrix modelling Energy flow Optimal operation strategy
Yufang CHANG Hao XIE Wencong HUANG
Hubei Collaborative Innovation Canter for High-efficiency Utilisation of Solar Energy,Hubei Universi School of Electrical and Electronic Engineering,Hubei University of Technology
国际会议
武汉
英文
526-535
2018-08-21（万方平台首次上网日期，不代表论文的发表时间）