 Energy flow optimization method for multi-energy system oriented to combined cooling, heating and powerChen Lingmin, Wu Jiekang, Wu Fan, Tang Huiling, Li Changjie and Xiong Yan Energy, 2020, vol. 211, issue C Abstract: A modeling framework of a multi-energy system with coordinated supply of combined cooling, heating and power (CCHP) using wind and solar energy is established in this paper. An index of loss of power supply probability and loss of heat supply probability is constructed defining a reliability index for the supply of the specific form of energy. Considering and weighing investment cost, primary energy consumption, carbon dioxide emission and the newly defined energy supply reliability index, an optimization model for capacity allocation of multiple energy sources in a multi-energy system using wind, solar, gas and storage is constructed using Particle Swarm Optimization (PSO) algorithm to solve the optimization problem. The proposed method increases renewable energy generation rate, reduces energy storage capacity and improves energy supply reliability. Keywords: Multi-energy system; Energy flow optimization; Combined cooling; Heating and power; Photovoltaic module; Wind turbine; Energy storage system (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:211:y:2020:i:c:s0360544220316443 DOI: 10.1016/j.energy.2020.118536 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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