Efficiency Assessment of Hydroelectric Power Plant in Turkey by Data Envelopment Analysis (DEA)
Abstract
Renewable energy resources are increasingly used due to the reasons such as limited reserves of fossil energy sources, causing environmental problems, causing economic and political reasons foreign dependence and price instabilities. Nowadays, hydraulic, wind, solar, geothermal and biomass energy are the most widely used renewable energy sources. Hydroelectric power is a clean and renew-able energy source. Hydroelectric power plants (HEPPs) are the plants constructed to obtain electricity by benefiting from the flow energy of water. Moreover, hydroelectric power is a source with Turkey’s largest renewable energy potential. Meeting approximately 20.81% of the energy consumed in Turkey from hydroe-lectric power plants makes this energy source even more important. In this study, efficiencies of 51 hydroelectric power plants constructed in Turkey were assessed by using Data Envelopment Analysis (DEA). In accordance with this purpose, three input variables and two output variables were used. Efficiency measurement was performed by using CCR model developed by Charnes, Cooper and Rhodes. The improvement rates that inefficient power plants should apply to input and output variables in order to reach the efficiency limit, were determined by DEA method. As a consequence, the efficiencies of HEPP plants with 32% of Turkey’s total installed power were tried to be measured by using DEA model in this study. In application, DEA model was operated separately for 51 HEPP power plants and the models were solved by using GAMS package program. When the results obtained were examined, it was observed that 19,61% of 51 HEPP power plants were operating effectively. Suggestions for improvement are presented for inefficient HEPP power plants.
Keywords
References
- Akkan, C., Karadayi, M. A., Ekinci, Y., Ülengin, F., Uray, N., & Karaosmanoğlu, E (2019) “Efficiency analysis of emergency departments in metropolitan areas.” Socio-Economic Planning Sciences.
- Amid, S., Gundoshmian, T. M., Shahgoli, G., & Rafiee, S (2016) “Energy use pattern and optimization of energy required for broiler production using data envelopment analysis.” Information Processing in Agriculture, 3(2): 83-91.
- Ang, S., Chen, M., & Yang, F (2018) “Group cross-efficiency evaluation in data envelopment analysis: An application to Taiwan hotels.” Computers & Industrial Engineering, 125: 190-199.
- Barros, C. P (2008) “Efficiency analysis of hydroelectric generating plants: A case study for Portugal.” Energy Economics, 30(1): 59-75.
- Bayazid, Y., Umetsu, C., Hamasaki, H., & Miyanishi, T (2019) “Measuring the efficiency of collective floodplain aquaculture of Bangladesh using Data Envelopment Analysis.” Aquaculture, 503: 537-549.
- Chaabouni, S (2019) “China's regional tourism efficiency: A two-stage double bootstrap data envelopment analysis.” Journal of destination marketing & management, 11: 183-191.
- Charnes, A., Cooper, W.W., Rhodes, E (1978) “Measuring the efficiency of decision-making units.” European Journal of Operations Research 2: 429-444.
- Chen, P. C., Yu, M. M., Shih, J. C., Chang, C. C., & Hsu, S. H (2019) “A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach.” European Journal of Operational Research, 272(2): 687-698.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Şeyma Emeç
*
0000-0002-4881-7955
Türkiye
Publication Date
October 31, 2019
Submission Date
July 21, 2019
Acceptance Date
October 22, 2019
Published in Issue
Year 2019
Cited By
Measuring operating efficiency of solar photovoltaic power plants using epsilon-based measure model: A case study in Vietnam
Measurement and Control
https://doi.org/10.1177/00202940221104870NEHİR TİPİ SANTRALLERDEKİ IZGARA KİRLİLİK ORANLARININ MAKİNE ÖĞRENME YÖNTEMLERİ İLE TAHMİNİ
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
https://doi.org/10.17780/ksujes.1570840Optimum Energy Production in Hydroelectric Power Plants
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.18185/erzifbed.1655660