A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning

•Propose an optimization and evaluation integrated framework.•Establish a Mixed Integer Non-linear Programming optimal planning model.•Conduct multi-objective optimization by Ɛ-constraint method.•Identify Pareto-optimal solution through three decision making methods.•An Analytic Hierarchy Process an...

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Veröffentlicht in:	Energy conversion and management Jg. 166; S. 445 - 462
Hauptverfasser:	Jing, Rui, Zhu, Xingyi, Zhu, Zhiyi, Wang, Wei, Meng, Chao, Shah, Nilay, Li, Ning, Zhao, Yingru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.06.2018 Elsevier Science Ltd
Schlagworte:	Analytic hierarchy process buildings climatic zones Criteria Decision making Design engineering Design optimization Distributed control systems Distributed energy system Energy Energy management fuel cells Mixed integer Mixed Integer Non-linear Programming Multi-criteria evaluation Multi-objective optimization Multiple criteria decision making Multiple objective analysis Nonlinear programming Optimization planning Solid Oxide Fuel Cell Solid oxide fuel cells Systems design systems engineering Distributed energy system Multi-objective optimization Solid Oxide Fuel Cell Mixed Integer Non-linear Programming Multi-criteria evaluation Decision making
ISSN:	0196-8904, 1879-2227
Online-Zugang:	Volltext
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