4.7 Article

Multi-criteria decision analysis for renewable energy integration: A southern India focus

期刊

RENEWABLE ENERGY
卷 121, 期 -, 页码 474-488

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2018.01.008

关键词

Renewable energy system; Demand side management; HOMER; Analytic hierarchy process; Multi-criteria decision analysis

资金

  1. Technical Education Quality Improvement Programme (TEQIP) [RA-2016-18-OB-TAM-7210]
  2. University Grants Commission, Government of India [RA-2016-18-OB-TAM-7210]
  3. management of Thiagarajar College of Engineering, Madurai, India

向作者/读者索取更多资源

In recent days, sustainability is considered as an important mechanism due to contemporary increase in demands and worldwide limited resources. This paper presents the possibility of integrating a renewable energy system with an existing grid to meet electrical energy demand of institutional buildings located in Indian state of Tamil Nadu. Currently, the Tamil Nadu state electric-grid power is not surplus and experiencing 40% short fall in generation. In this present paper a modern approach for the optimum planning of electric power system (EPS) is proposed based on the Analytic Hierarchy Process (AHP). An intertwined analysis on energy management and techno-economic optimization of grid connected renewable energy system is proposed. The prospects of different fixed tilt solar panels and peak load shifting based energy management are performed through HOMER Energy simulation. The AHP multi criteria decision analysis reveals that annual optimum tilt grid connected photovoltaic system is the optimum configuration for study location. The effectiveness of the AHP approach is evaluated with best worst method and stochastic multi-criteria acceptability analysis for prioritizing the renewable energy system options in order to select best EPS. In addition, the optimum configuration is implemented in the institutional buildings and performance is analyzed under varying climatic conditions. (C) 2018 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据