İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2022 · article

Optimal site selection for wind energy: a case study

YÖKSİS OpenAlex Üst %10
Yıl2022
Atıf13OpenAlex
Yüzdelik%97,5
FWCI11,051,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects
  • Katalog eşleşmesi (ISSN)Energy Sources, Part A: Recovery, Utilization and Environmental Effects
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Renewable energy sources (RES) have gained attraction in recent years. The optimal site selection problem is one of the most important problems in the area of RES. In this study, the optimum site selection problem for wind energy, which is one of the RES types, is discussed. Eighty-one provinces in Turkey are evaluated using the Pareto diagram and the provinces with high potential wind energy are obtained. Long-term electricity consumption estimates are performed for the 13 provinces using ARIMA and Time Series Analysis methods. Also, in the article, an integrated optimum site selection problem in GAMS 23.5 software is modeled by the predicted future energy demand. As a result of the study, the total 41 installation decisions are made for the strategic optimal site selection decision between 2021 and 2025 years. Minimizing the total cost proposed as an objective function of the developed mathematical programming model, the total cost is found as 52526500 currency unit. It is seen that the decision to install the power plant is mostly made for Balıkesir, Çanakkale and İzmir, and the number of plants for the provinces are 6, 6 and 5, respectively. The computational results show that the developed model produces effective solutions and minimizes the total cost by focusing on strategic optimal site decisions. According to the sensitivity analysis results, increasing the percentage of use in wind energy approximately 4–5% from 3.5% in total percentage will reduce the total cost by approximately 3.62%.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

13atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 6 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2023 CO2 capture, utilization, and storage (CCUS) storage site selection using DEMATEL-based Grey Relational Analysis and evaluation of carbon emissions with the ARIMA methodAtıf 27 · OpenAlex
  2. 2024 A hybrid MCDM method for enhancing site selection for wind power plants in TurkeyAtıf 25 · OpenAlex
  3. 2024 Spatial multi-criteria decision analysis for site selection of wind power plants: a case studyAtıf 9 · OpenAlex
  4. 2024 Site selection optimization for 100% renewable energy sourcesAtıf 7 · OpenAlex
  5. 2024 Site selection optimization for 100% renewable energy sourcesAtıf 7 · OpenAlex
  6. 2025 Topographical features affecting the distribution of wind power plants (WPPs) in TürkiyeAtıf 0 · OpenAlex

Yazarlar

2
  1. ONUR DERSE 1
  2. EBRU YILMAZ ÇUKUROVA ÜNİVERSİTESİ 2