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Application of the Concept of Terminal Value in the Analysis of Projects Based on Renewable Energy

DOI: 10.4236/jpee.2018.66002, PP. 16-37

Keywords: Feasibility Analysis, Discounted Cash Flow Method, Terminal Value, Renewable Energy

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Projects for energy supply based on the exploitation of renewable energy have a very predictable cash flow. The initial costs are usually high, with the acquisition of technologically evolving equipment. However, maintenance costs are relatively low and easily predictable. Likewise, operating costs are often very low as there is no need to buy inputs. Power storage devices are often short-lived and contribute to a relative cost increase. At the same time, these projects are often not approved because they are directly compared to projects based on non-renewable resources, with cash flows that may not be so easily predictable and with much lower start-up costs. Fossil fuels have hardly predictable costs, established by non-technical criteria and related to geopolitical issues. In addition, their operating costs are usually very high, precisely because of the need to purchase fossil fuels. This paper proposes the calculation of terminal value in cash flows of power generation projects and its application for feasibility analysis of projects based on renewable resources. The proposed method suggests the calculation of terminal value as the moving average calculated for five-year intervals with constant growth rate of 5%. This method also encourages the inclusion in the cash flow of annual values that add up to the end of the analysis period the sufficient value to renew the system components at the end of the usual analysis period of 20 - 25 years. The application of the proposed method to a diesel wind system simulated with the well-known Homer software indicates the modification of the results of the Homer with the preference for systems with greater wind penetration instead of the systems with greater consumption of fossil fuels.


[1]  Lee, S.-C. and Shih, L.-H. (2010) Renewable Energy Policy Evaluation Using Real Option Model: The Case of Taiwan. Energy Economics, 32, 567-578.
[2]  Akdag, S.A. and Güler, O. (2010) Evaluation of Wind Energy Investment Interest and Electricity Generation Cost Analysis for Turkey. Applied Energy, 87, 2574-2580.
[3]  Kaabeche, A., Belhamel, M. and Ibtiquen, R. (2011) Techno-Economic Valuation and Optimization of Integrated Photovoltaic/Wind Energy Conversion System. Solar Energy, 85, 2407-2420.
[4]  Lee, S.-C. (2011) Using Real Options Analysis for Highly Uncertain Technology investments: The case of wind energy technology. Renewable and Sustainable Energy Reviews 15, 4443-4450.
[5]  Martinez-Cesena, E.A. and Mutale, J. (2011) Application of an Advanced Real Options Approach for Renewable Energy Generation Projects Planning. Renewable and Sustainable Energy Reviews, 15, 2087-2094.
[6]  Boomasma, T.K., Meade, N. and Fleten, S.E. (2012) Renewable Energy Investments under Different Support Schemes: A Real Options Approach. European Journal of Operational Research, 220, 225-237.
[7]  Kunbaroglu, G. and Madlener, R. (2012) Evaluation of Economically Optimal Retrofit Investment Options for Energy Savings in Buildings. Energy and Buildings, 49, 327-334.
[8]  Wüstenhagen, R. and Menighetti, E. (2012) Strategic Choices for Renewable Energy Investment: Conceptual Framework and Opportunities for Further Research. Energy Policy, 40, 1-10.
[9]  Espinoza, R.D. and Rojo, J. (2015) Using DNPV for Valuing Investments in the Energy Sector: A Solar Project Case Study. Renewable Energy, 75, 44-49.
[10]  Espinoza, R.D. (2014) Separating Project Risk from the Time Value of Money: A Step toward Integration of Risk Management and Valuation of Infrastructure Investments. International Journal of Project Management, 32, 1056-1072.
[11]  REN21—Renewable Energy Policy Network for the 21st Century. Renewables 2016: Global Status Report, 2016.
[12]  Twidell, J. and Weir, T. (2006) Renewable Energy Resources. Taylor & Francis Group, London.
[13]  Stevenson, W.J. (2001) Estatística aplicada à administracao. Harbra, Sao Paulo.
[14]  Downing, D. and Clark, J. (2002) Estatística aplicada. 2nd Edition, Saraiva, Sao Paulo.
[16]  Software HOMER, version 2.68 beta, The Micropower Optimization Model, Homer Energy.
[17]  Beluco, A. and Beluco, A. (2017) Terminal Value and Valuation Calculation Report for Feasibility Analysis of a Wind Diesel Hybrid System. Internal Report, Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul, 212 p.
[18]  Lambert, T., Gilman, P. and Lilienthal, P. (2006) Micropower System Modeling with Homer. Integration of Alternative Sources of Energy. John Wiley & Sons, New York, 379-418.
[19]  Lilienthal, P., Lambert, T.W. and Gilman, P. (2004) Computer Modeling of Renewable Power Systems. In: Cleve-land, C.J., Encyclopedia of Energy, v. 1, 633-647, Elsevier, NREL Report CH-710-36771.
[20]  Atlantic Orient Corporation, Wind Turbine Model AOC 15/50, Owner Manual.
[21]  Rolls Surrette Battery Company. Battery Model 6CS25P. Data Sheet.


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