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Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China

机译：中国分布式能源驱动的CCHP与可再生能源混合能源系统多目标运行优化与评估模型

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摘要

This paper construct a CCHP and renewable energy based hybrid energy system driven by distributed energy resources (DERs CCHP). Then, the paper constructs performance indexes from energy, economic and environment. Thirdly, the paper proposes a multi-objective optimization model for DERs CCHP system under four optimization of energy rate (ER), total operation cost (TOC), carbon dioxide emission reductions (CER) and joint optimization. Finally, Guangzhou Higher Education Mega Center (GHEMC) in China is taken as the object for comparatively analyzing the operation performance of DERs CCHP system and CCHP system driven by natural gas (NG CCHP system). Results show: Joint optimization mode could balance the results of different optimization modes. DERs CCHP system shows better operation performance. ER of ER optimization, CER optimization and joint optimization are higher than that of NG CCHP system. NPV of all optimization modes is positive, IRR are bigger than the expected yield rate. DERs CCHP system could reduce CO2 emission by utilizing wind energy and solar energy to replace NG. The sensitivity analysis indicates the performance of the DERs CCHP system will become better with the increase of chiller COP, decrease of NG price and wind-photovoltaic equipment cost. (C) 2016 Elsevier Ltd. All rights reserved.
机译：本文构建了由分布式能源（DERs CCHP）驱动的基于CCHP和可再生能源的混合能源系统。然后，从能源，经济和环境三个方面构建绩效指标。第三，在能源费率（ER），总运行成本（TOC），二氧化碳减排量（CER）和联合优化四个方面，提出了DERs CCHP系统的多目标优化模型。最后，以中国广州高等教育超级中心（GHEMC）为对象，比较分析了DERs CCHP系统和天然气驱动的CCHP系统（NG CCHP系统）的运行性能。结果表明：联合优化模式可以平衡不同优化模式的结果。 DERs CCHP系统显示出更好的运行性能。 ER优化，CER优化和联合优化的ER均高于NG CCHP系统。所有优化模式的NPV为正，IRR大于预期的收益率。 DERs CCHP系统可以通过利用风能和太阳能代替NG来减少CO2排放。敏感性分析表明，随着冷水机组COP的增加，天然气价格的下降以及风光光伏设备成本的提高，DERs CCHP系统的性能将越来越好。 （C）2016 Elsevier Ltd.保留所有权利。

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