Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects
Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects
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DOI：
10.1016/j.apenergy.2010.06.013
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发表时间：
2010-12
期刊：
影响因子：
11.2
通讯作者：
H. Ren;Weisheng Zhou;K. Nakagami;Weijun Gao;Qiong Wu
中科院分区：
文献类型：
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作者：
H. Ren;Weisheng Zhou;K. Nakagami;Weijun Gao;Qiong Wu
随着全球气候的持续变暖，环境约束在分布式能源系统运行中除了经济目标之外，还将发挥越来越重要的作用。本研究建立了一个多目标优化模型，结合能源成本最小化和环境影响最小化，以co2排放为评估指标，分析了DER系统的最优运行策略。利用折衷规划方法得到了折衷曲线。作为一个说明性的例子，本文选择了在日本一个生态校园中安装的DER系统作为案例研究。正在考虑的分布式技术包括用于提供电力和热能需求的光伏（PV）、燃料电池和燃气发动机。研究结果表明，经济目标满意度的提高导致二氧化碳排放量的增加。对环境目标的重视程度越高，DER系统的运行越敏感。此外，根据敏感性分析，电力回购、碳税以及燃料转换为沼气的考虑对DER系统的运行有或多或少的影响。
Along with the continuing global warming, the environmental constraints are expected to play more and more important role in the operation of distributed energy resource (DER) systems, besides the economic objective. In this study, a multi-objective optimization model is developed to analyze the optimal operating strategy of a DER system while combining the minimization of energy cost with the minimization of environmental impact which is assessed in terms of CO2emissions. The trade-off curve is obtained by using the compromise programming method. As an illustrative example, the DER system installed in an eco-campus in Japan has been selected for case study. The distributed technologies under consideration include photovoltaics (PV), fuel cell and gas engine for providing electrical and thermal demands. The obtained results demonstrate that increasing the satisfaction degree of economic objective leads to increased CO2emissions. The operation of the DER system is more sensitive when environmental objective is paid more attention. Moreover, according to the sensitivity analysis, the consideration of electricity buy-back, carbon tax, as well as fuel switching to biogas, has more or less effect on the operation of DER systems.