Performance assessment of hybrid power generation systems: Economic and environmental impacts


Al-Sharafi A., Yilbas B. S. , Sahin A. Z. , Ayar T.

ENERGY CONVERSION AND MANAGEMENT, vol.132, pp.418-431, 2017 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 132
  • Publication Date: 2017
  • Doi Number: 10.1016/j.enconman.2016.11.047
  • Title of Journal : ENERGY CONVERSION AND MANAGEMENT
  • Page Numbers: pp.418-431
  • Keywords: Hybrid systems, Optimization, Economic, Environmental impact, PV, Wind, ENERGY-CONSUMPTION, TECHNOECONOMIC FEASIBILITY, WIND POWER, OPTIMIZATION, PV, SIZE, METHODOLOGY, HOUSEHOLD, STORAGE

Abstract

This article aims to introduce a double-step performance assessment tool for the hybrid power generation systems. As a case study, a hybrid system comprising PV array, wind-turbine, battery bank and diesel engine is incorporated in hourly based simulations to meet power demand of a residence unit at Dhahran area, Kingdom of Saudi Arabia. Different indicators related to economical and environmental performance assessments of the hybrid system have been considered. In the economic related assessment case, cost of electricity, energy excess percentage, and operating life cycle indicators have been considered and combined to develop the first overall performance index. Renewable contribution, renewable source availability and environmental impact indicators have been considered for the environmental assessment case and they are combined in the second performance index. For either economical or environmental cases, the optimum configuration of the system is achieved by maximizing the first and second overall performance indicators. This innovative optimization tools gives the designer the freedom to assign suitable weights associated with economical aspect, environmental impact, governmental regulations and social impact, for the first and second overall performance indicators, and combine them in the total per, formance index. The optimum system configuration is at the point where the total performance index is maximized. (C) 2016 Elsevier Ltd. All rights reserved.