Analysis of Electricity Generation Options for Sustainable Energy Decision Making: the Case of Turkey


Yılan G., Kadırgan M. A. N., Çiftçioğlu G. A.

RENEWABLE ENERGY, cilt.146, ss.519-529, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 146
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.renene.2019.06.164
  • Dergi Adı: RENEWABLE ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Environment Index, Geobase, Greenfile, Index Islamicus, INSPEC, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.519-529
  • Anahtar Kelimeler: Electricity generation, Energy decision making, Multi-criteria decision analysis, Sustainability, Turkey, MULTICRITERIA ANALYSIS, POWER-PLANTS, TECHNOLOGIES, SCENARIOS, MCDM, RESOURCES, SYSTEMS
  • Marmara Üniversitesi Adresli: Evet

Özet

Sustainable energy decision making requires the comparison of energy generation technologies

regarding a wide range of economic, technical, environmental, and socio-economic criteria. This study

aims to rank the main seven electricity generation technologies for Turkey according to their performance

scores. These energy generation technologies are natural gas, coal, hydropower with dam, run-ofriver

type hydropower, onshore wind, geothermal and solar PV. The sustainability scores are calculated

via twelve indicators classified into abovementioned four criteria groups. Multi-criteria decision analysis

methodology is employed with a weighted sum multi-attribute utility approach for five different

sensitivity cases. The results reveal that the hydroelectric technology with dam is the best option for

most of the sensitivity cases. We hope this study gives a scientific and objective standpoint to decisionmaker

authorities in Turkey for planning sustainable electricity generation policies.