An integrated multi-objective optimization model for determining the optimal solution in implementing the rooftop photovoltaic system

Choongwan Koo, Taehoon Hong, Minhyun Lee, Jimin Kim

Research output: Contribution to journalReview article

43 Citations (Scopus)

Abstract

The photovoltaic (PV) system has been highlighted as a sustainable clean energy source. To successfully implement the PV system in a real project, several impact factors should be simultaneously considered. This study aimed to develop an integrated multi-objective optimization (iMOO) model for determining the optimal solution in implementing the rooftop PV system. This study was conducted in six steps: (i) establishment of database; (ii) generation of the installation scenarios in the rooftop PV system; (iii) energy simulation using the software program 'RETScreen'; (iv) economic and environmental assessment from the life cycle perspective; (v) establishment of the iMOO process using a genetic algorithm; and (vi) systemization of the iMOO model using a Microsoft-Excel-based VBA. Two criteria were used to assess the robustness and reliability of the developed model. In terms of effectiveness, the optimal solution was determined from a total of 399,883,120 (=91×49×19×80×59) possible scenarios by comprehensively considering various factors. In terms of efficiency, it was concluded that the time required for determining the optimal solution was 150 s. The developed model makes it possible for final decision-maker such as construction managers or contractors to determine the optimal solution in implementing the rooftop PV system in the early design phase.

Original languageEnglish
Pages (from-to)822-837
Number of pages16
JournalRenewable and Sustainable Energy Reviews
Volume57
DOIs
Publication statusPublished - 2016 May

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

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