Akinyele, D. O., & Rayudu, R. K. (2016). Strategy for developing energy systems for remote communities: Insights to best practices and sustainability. Sustainable Energy Technologies and Assessments, 16, 106–127. https://doi.org/10.1016/j.seta.2016.05.001.
Article
Google Scholar
Akinyele, D. O., Rayudu, R. K., & Nair, N. K. C. (2015). Development of photovoltaic power plant for remote residential applications: The socio-technical and economic perspectives. Applied Energy, 155, 131–149. https://doi.org/10.1016/j.apenergy.2015.05.091.
Article
Google Scholar
Arnold, U., & Yildiz, O. (2015). Economic risk analysis of decentralized renewable energy infrastructures—A Monte Carlo Simulation approach. Renewable Energy, 77, 227–239. https://doi.org/10.1016/j.renene.2014.11.059.
Article
Google Scholar
Barrera, G. M., Ramírez, C. Z., & González, J. M. (2016). Application of real options valuation for analysing the impact of public R&D financing on renewable energy projects: A company’s perspective. Renewable and Sustainable Energy Reviews, 63, 292–301. https://doi.org/10.1016/j.rser.2016.05.073.
Article
Google Scholar
Barros, J. J. C., Coira, M. L., López, M. P. L. C., & Gochi, A. D. C. (2017). Comparative analysis of direct employment generated by renewable and non-renewable power plants. Energy, 139, 542–554. https://doi.org/10.1016/j.energy.2017.08.025.
Article
Google Scholar
Bloomberg New Energy Finance (BNEF). (2016). New energy outlook 2016: Powering a changing world. https://about.bnef.com/new-energy-outlook/. Accessed August 12, 2017.
Brach, M. A. (2003). Real options in practice. Hoboken: Wiley.
Google Scholar
Byrnes, L., Brown, C., Wagner, L., & Foster, J. (2016). Reviewing the viability of renewable energy in community electrification: The case of remote Western Australian communities. Renewable and Sustainable Energy Reviews, 59, 470–481. https://doi.org/10.1016/j.rser.2015.12.273.
Article
Google Scholar
Copiello, S., Gabrielli, L., & Bonifaci, P. (2017). Evaluation of energy retrofit in buildings under conditions of uncertainty: The prominence of the discount rate. Energy, 137, 104–117. https://doi.org/10.1016/j.energy.2017.06.159.
Article
Google Scholar
Davis, G. A., & Cairns, R. D. (2012). Good timing. The economics of optimal stopping. Journal of Dynamics and Control, 36, 255–265. https://doi.org/10.1016/j.jedc.2011.09.008.
Article
MathSciNet
MATH
Google Scholar
Department of Energy (DOE). (2012). Philippine energy plan 2012–2030. https://www.doe.gov.ph/sites/default/files/pdf/pep/2012-2030_pep.pdf. Accessed August 22, 2017.
Department of Energy (DOE). (2014). Geothermal: cheapest energy source. https://www.doe.gov.ph/energist/index.php/93-categorised/energy/energy-resources/renewable-energy/geothermal-energy/4464-geothermal-cheapest-energy-source. Accessed December 10, 2017.
Department of Energy (DOE). (2017). 2016 Philippine power statistics. https://www.doe.gov.ph/sites/default/files/pdf/energy_statistics/bgross_power_generation_by_plant_2016.pdf. Accessed August 22, 2017.
Detert, N., & Kotani, K. (2013). Real options approach to renewable energy investment in Mongolia. Energy Policy, 56, 136–150. https://doi.org/10.1016/j.enpol.2012.12.003.
Article
Google Scholar
Dixit, A. K., & Pindyck, R. S. (1994). Investment under uncertainty. Princeton, NJ: Princeton University Press.
Google Scholar
Eissa, M. A., & Tian, B. (2017). Lobatto–Milstein numerical method in application of uncertainty investment of solar power projects. Energies, 10, 1–19. https://doi.org/10.3390/en10010043.
Article
Google Scholar
Emmanouilides, C. J., & Sgouromalli, T. (2013). Renewable energy sources in crete: Economic valuation results from a stated choice experiment. Procedia Technology, 8, 406–415. https://doi.org/10.1016/j.protcy.2013.11.053.
Article
Google Scholar
Eryilmaz, D., & Homans, F. R. (2016). How does uncertainty in renewable energy policy affect decisions to invest in wind energy? Electricity Journal, 29, 64–71. https://doi.org/10.1016/j.tej.2015.12.002.
Article
Google Scholar
Fagiani, R., Barquin, J., & Hakvoort, R. (2013). Risk-based assessment of the cost-efficiency and the effectivity of renewable energy support schemes: Certificate markets versus feed-in tariffs. Energy Policy, 55, 648–661. https://doi.org/10.1016/j.enpol.2012.12.066.
Article
Google Scholar
Fleten, S. E., Linnerud, K., Molnár, P., & Nygaard, M. T. (2016). Green electricity investment timing in practice: Real options or net present value? Energy, 116, 498–506. https://doi.org/10.1016/j.energy.2016.09.114.
Article
Google Scholar
Gusano, D. G., Espegren, K., Lind, A., & Kirkengen, M. (2016). The role of the discount rates in energy systems optimisation models. Renewable and Sustainable Energy Reviews, 59, 56–72. https://doi.org/10.1016/j.rser.2015.12.359.
Article
Google Scholar
Hach, D., & Spinler, S. (2016). Capacity payment impact on gas-fired generation investments under rising renewable feed-in—A real options analysis. Energy Economics, 53, 270–280. https://doi.org/10.1016/j.eneco.2014.04.022.
Article
Google Scholar
Insley, M. (2002). A real options approach to the valuation of a forestry investment. Journal of Environmental Economics and Management, 44(3), 471–492. https://doi.org/10.1006/jeem.2001.1209.
Article
MATH
Google Scholar
International Renewable Energy Agency (IRENA). (2017). Renewables readiness assessment: The Philippines. http://www.irena.org/DocumentDownloads/Publications/IRENA_RRA_Philippines_2017.pdf. Accessed August 22, 2017.
Jeon, D., Lee, J., & Shin, J. (2015). Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case. Applied Energy, 142, 33–43. https://doi.org/10.1016/j.apenergy.2014.12.067.
Article
Google Scholar
Kamjoo, A., Maheri, A., Dizqah, A. M., & Putrus, G. A. (2016). Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming. International Journal of Electrical Power & Energy Systems, 74, 187–194. https://doi.org/10.1016/j.ijepes.2015.07.007.
Article
Google Scholar
Kim, K., Park, H., & Kim, H. (2017). Real options analysis for renewable energy investment decisions in developing countries. Renewable and Sustainable Energy Reviews, 75, 918–926. https://doi.org/10.1016/j.rser.2016.11.073.
Article
Google Scholar
Kitzing, L., Juul, N., Drud, M., & Boomsma, T. K. (2017). A real options approach to analyse wind energy investments under different support schemes. Applied Energy, 188, 83–96. https://doi.org/10.1016/j.apenergy.2016.11.104.
Article
Google Scholar
Kumbaroğlu, G., Madlener, R., & Demirel, M. (2008). A real options evaluation model for the diffusion prospects of new renewable power generation technologies. Energy Economics, 30(4), 1882–1908. https://doi.org/10.1016/j.eneco.2006.10.009.
Article
Google Scholar
Loncar, D., Milovanovic, I., Rakic, B., & Radjenovic, T. (2017). Compound real options valuation of renewable energy projects: The case of a wind farm in Serbia. Renewable and Sustainable Energy Reviews, 75, 354–367. https://doi.org/10.1016/j.rser.2016.11.001.
Article
Google Scholar
Pereira, A. O. P., Jr., Cunha da Costa, R., do Vale Costa, C., de Moraes v, J., & Lèbre La Rovere, E. (2013). Perspectives for the expansion of new renewable energy sources in Brazil. Renewable and Sustainable Energy Reviews, 23, 49–59. https://doi.org/10.1016/j.rser.2013.02.020.
Article
Google Scholar
Pindyck, R. S. (1993). Investments of uncertain cost. Journal of Financial Economics, 31(1), 53–76. https://doi.org/10.1016/0304-405X(93)90040-I.
Article
Google Scholar
Pringles, R., et al. (2015). Real option valuation of power transmission investments by stochastic simulation. Energy Economics, 47, 215–226. https://doi.org/10.1016/j.eneco.2014.11.011.
Article
Google Scholar
Ritzenhofen, I., & Spinler, S. (2016). Optimal design of feed-in-tariffs to stimulate renewable energy investments under regulatory uncertainty—A real options analysis. Energy Economics, 53, 76–89. https://doi.org/10.1016/j.eneco.2014.12.008.
Article
Google Scholar
Santos, L., Soares, I., Mendes, C., & Ferreira, P. (2014). A real options approach to evaluating new nuclear power plants. Renewable Energy, 68, 588–594. https://doi.org/10.1016/j.renene.2014.01.038.
Article
Google Scholar
Savino, M. M., et al. (2017). A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines. Applied Energy, 189, 739–752. https://doi.org/10.1016/j.apenergy.2016.11.124.
Article
Google Scholar
Sisodia, G. S., Soares, I., & Ferreira, P. (2016). Modeling business risk: The effect of regulatory revision on renewable energy investment—The Iberian case. Renewable Energy, 95, 303–313. https://doi.org/10.1016/j.renene.2016.03.076.
Article
Google Scholar
Sovacool, B. K. (2010). A comparative analysis of renewable electricity support mechanisms for Southeast Asia. Energy, 35, 1779–1793. https://doi.org/10.1016/j.energy.2009.12.030.
Article
Google Scholar
Stich, J., & Hamacher, T. (2016). The cost-effectiveness of power generation from geothermal potentials in Indonesia and the Philippines. IEEE Innovative Smart Grid Technologies—Asia, 54, 177–182. https://doi.org/10.1109/isgt-asia.2016.7796382.
Google Scholar
Tietjen, O., Pahle, M., & Fuss, S. (2016). Investment risks in power generation: A comparison of fossil fuel and renewable energy dominated markets. Energy Economics, 58, 174–185. https://doi.org/10.1016/j.eneco.2016.07.005.
Article
Google Scholar
Trigeorgis, L. (1996). Real options: Managerial flexibility and strategy in resource allocation. Cambridge: MIT Press.
Google Scholar
Twidell, J., & Weir, T. (2015). Renewable energy resources. London: Routledge.
Google Scholar
Utama, N. A., Ishihara, K. N., & Tezuka, T. (2012). Power generation optimization in ASEAN by 2030. Energy and Power Engineering, 4, 226–232. https://doi.org/10.4236/epe.2012.44031.
Article
Google Scholar
Viallet, C., & Hawawini, G. (2015). Finance for executives: Managing for value creation. Boston: Cengage Learning Emea.
Google Scholar
Wang, X., & Du, (2016). Study on carbon capture and storage (CCS) investment decision-making based on real options for China’s coal-fired power plants. Journal of Cleaner Production, 112(5), 4123–4131. https://doi.org/10.1016/j.jclepro.2015.07.112.
Article
MathSciNet
Google Scholar
Wesseh, Jr, Presley, K., & Lin, B. (2016). A real options valuation of Chinese wind energy technologies for power generation: Do benefits from the feed-in tariffs outweigh costs? Journal of Cleaner Production, 112(2), 1591–1599. https://doi.org/10.1016/j.jclepro.2015.04.083.
Article
Google Scholar
Xian, H., Colson, G., Mei, B., & Wetzstein, M. E. (2015). Co-firing coal with wood pellets for US electricity generation: A real options analysis. Energy Policy, 81, 106–116. https://doi.org/10.1016/j.enpol.2015.02.026.
Article
Google Scholar
Yang, M., Blyth, W., Bradley, R., Bunn, D., Clarke, C., & Wilson, T. (2008). Evaluating the power investment options with uncertainty in climate policy. Energy Economics, 30(4), 1933–1950. https://doi.org/10.1016/j.eneco.2007.06.004.
Article
Google Scholar
Yeo, K. T., & Qui, F. (2003). The value of management flexibility—A real option approach to investment evaluation. International Journal of Project Management, 21, 243–250. https://doi.org/10.1016/S0263-7863(02)00025-X.
Article
Google Scholar
Zhang, M. M., Zhou, D. Q., Zhou, P., & Chen, H. T. (2017). Optimal design of subsidy to stimulate renewable energy investments: The case of China. Renewable and Sustainable Energy Reviews, 71, 873–883. https://doi.org/10.1016/j.rser.2016.12.115.
Article
Google Scholar