ESTIMATING THE PROFITABILITY OF HYDROPOWER INVESTMENTS WITH A CASE STUDY FROM TURKEY


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Akcay E. C., Dikmen Toker İ., Birgönül M. T., Arditi D.

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, cilt.23, ss.1002-1012, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23
  • Basım Tarihi: 2017
  • Doi Numarası: 10.3846/13923730.2017.1350877
  • Dergi Adı: JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1002-1012
  • Anahtar Kelimeler: renewable energy, hydropower investment, Monte Carlo simulation, cash flow, PUBLIC-PRIVATE PARTNERSHIPS, INFRASTRUCTURE PROJECTS, CONCESSION PERIOD, PPP PROJECTS, MODEL, ALLOCATION, RISKS
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Energy demand has been increasing, but traditional sources of energy are depletable. New investments are needed in renewable energy production. Hydroelectric power plants are often considered a feasible renewable source of energy and are often organized as a public private partnerships (PPP). However, risk factors stemming from the macro environment as well as project conditions should be considered in performing feasibility studies. The objective of this study was to develop a method that can be used to predict the profitability of hydropower investments considering the relevant risk factors. To that end, a cash flow that represents the construction and operation period is set up, the risk factors involved in such projects are identified, the impacts of these risk factors on the cash flow parameters are assessed, and Monte Carlo simulation is performed to estimate the net present value (NPV) of a hydropower investment. The proposed method was tested in a hydropower investment located in Turkey and generated credible results that could be of great benefit to potential investors operating in similar conditions. The primary contribution of this research is the creation of a method that allows investors to assess the profitability of a hydropower investment by using a stochastic approach.