A CMOPSO based multi-objective optimization of renewable energy planning: case of Turkey
Yükleniyor...
Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a two step multi-objective optimization framework of renewable energy planning is proposed for Turkey. In the first step, optimization process is performed and in the second step a multicriteria decision making based selection strategy is applied to select a solution from non-dominated solution set. The objectives are selected as minimization of levelized cost of electricity plan and maximization of short term electricity generation from renewable energy resources. The optimization model considers different cases of renewable energy investment expenditures and the optimal use of resource availability according to renewable energy related targets of the country and estimated cost reduction due to technological learning. For optimization purposes, a state-of-the-art metaheuristic Competitive Multi-Objective Particle Swarm Optimizer (CMOPSO) is used. Results reveal that the 2023 targets of Turkey for hydroelectric, and biomass power plants are not optimal with any of the renewable energy investment case. In addition, solar photovoltaics and onshore wind energy should be the most preferred renewable resources. The findings of this paper can help decision makers not only to set optimized and reliable energy-related goals for Turkey but also to estimate the most suitable time for diffusion of offshore wind energy technology which is not currently under operation. (C) 2020 Elsevier Ltd. All rights reserved.
Açıklama
Guler, Onder/0000-0002-6025-2547; Deveci, Kaan/0000-0003-0301-2296
WOS:000537825800050
WOS:000537825800050
Anahtar Kelimeler
Renewable Energy Planning, Multi-Objective Optimization, Multi-Criteria Decision Support
Kaynak
Renewable Energy
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
155
