Despite the steady growth and price reductions of solar photovoltaic (PV) market in the United States (U.S.), the solar PV market still depends on financial support and incentives due to its high initial investment cost. Therefore, this study aimed to conduct a break-even analysis and impact analysis of residential solar PV systems by state in the U.S., focused on state solar incentives. Three indexes (i.e., net present value, profitability index (PI) and payback period) were used to evaluate the investment value of the residential solar PV systems considering state solar incentives. Furthermore, PI increase ratio was used to analyze the impact of state solar incentives on the economic feasibility of the residential solar PV systems in each state. As a result, it was found that 18 of the 51 target cities have reached the break-even point and seven of the 51 target cities showed great improvement of the economic feasibility of solar PV systems in the U.S. due to excellent state solar incentives. The results of this study can help policy makers to evaluate and compare the economic impacts of the residential solar PV systems by state in the U.S.
solar photovoltaic systems, solar policy, state solar incentives, break-even analysis, life cycle cost, United States
Antonelli, M.; Desideri, U. 2014. The doping effect of Italian feed-in tariffs on the PV market, Energy Policy 67: 583–594. https://doi.org/10.1016/j.enpol.2013.12.025
Barbose, G.; Darghouth, N.; Weaver, S.; Wiser, R. 2013. Tracking the Sun VI. California, Lawrence Berkeley National Laboratory (LBNL).
Branker, K.; Pathak, M. J. M.; Pearce, J. M. 2011. A review of solar photovoltaic levelized cost of electricity, Renewable and Sustainable Energy Reviews 15(9): 4470–4482. https://doi.org/10.1016/j.rser.2011.07.104
Brearley, D. 2009. C-Si photovoltaic trends: design, purchasing and 2009 specs, Solar Pro Magazine June/July: 49–74.
Burns, J. E.; Kang, J.-S. 2012. Comparative economic analysis of supporting policies for residential solar PV in the United States: Solar Renewable Energy Credit (SREC) potential, Energy Policy 44: 217–225. https://doi.org/10.1016/j.enpol.2012.01.045
California Energy Commision (CEC) Energy Technology Development Division. 2001. A guide to photovoltaic (PV) system design and installation. California, Endecon Engineering.
Darling, S. B.; You, F.; Veselka, T.; Velosa, A. 2011. Assumptions and the levelized cost of energy for photovoltaics, Energy and Environmental Science 4: 3133–3139. https://doi.org/10.1039/c0ee00698j
Database of State Incentives for Renewables & Efficiency (DSIRE). 2015. [online], [cited 20 April 2015]. Available from Internet: www.dsireusa.org
Dell’Isola, A. J.; Kirk, S. J. 2003. Life cycle costing for facilities. Massachusetts, Reed Construction Data.
Farris, P. W.; Bendle, N. T.; Pfeifer, P. E.; Reibstein, D. J. 2010. Marketing metrics. New Jersey, Pearson Education.
Federal Reserve Bank (FRB). 2015. [online], [cited 20 April 2015]. Available from Internet: www.feder-alreserve.gov/releases/h15/data.htm#fn11
Frondel, M.; Ritter, N.; Schmidt, C. M.; Vance, C. 2010. Economic impacts from the promotion of renewable energy technologies: the German experience, Energy Policy 38: 4048–4056. https://doi.org/10.1016/j.enpol.2010.03.029
Generation Attribute Tracking System (GATS). 2015. [online], [cited 20 April 2015]. Available from Internet: http://gats.pjm-eis.com/gats2/PublicReports/SolarWeightedAveragePrice
Hass, R.; Panzer, C.; Resch, G.; Ragwitz, M.; Reece, G.; Held, A. 2011. A historical review of promotion strategies for electricity from renewable energy sources in EU countries, Renewable and Sustainable Energy Reviews 15: 1003–1034. https://doi.org/10.1016/j.rser.2010.11.015
HIS Technology. 2014. PV Inverter World Market Report 2014. Colorado, HIS Technology.
Hong, S.; Jung, D. 2012. New and renewable energy law and policy. Seoul, Bobmunsa.
Hong, T.; Koo, C.; Kwak, T. 2013. Framework for the implementation of a new renewable energy system in an educational facility, Applied Energy 103: 539–551. https://doi.org/10.1016/j.apenergy.2012.10.013
Hong, T.; Koo, C.; Park, J.; Park, H. 2014a. A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system, Energy 65: 190–199. https://doi.org/10.1016/j.energy.2013.11.082
Hong, T.; Koo, C.; Kwak, T.; Park, H. 2014b. An economic and environmental assessment for selecting the optimum new renewable energy system for educational facility, Renewable and Sustainable Energy Reviews 29: 286–300. https://doi.org/10.1016/j.rser.2013.08.06
International Energy Agency (IEA). 2011. Solar energy perspectives. Paris, IEA.
International Energy Agency (IEA). 2013. Tracking clean energy progress 2013. Paris, IEA.
Interstate Renewable Energy Council (IREC). 2013. U.S. Solar market trends 2012. New York, IREC.
Jiang, A.; Zhu, Y. 2012. Impact of incentives and system efficiency on the life cycle cost of photovoltaic systems, International Journal of Construction Education and Research 8(3): 204–222. https://doi.org/10.1080/15578771.2011.615892
Kim, J.; Hong, T.; Koo, C. 2012. Economic and environmental evaluation model for selecting the optimum design of green roof systems in elementary schools, Environmental Science and Technology 46: 8475–8483. https://doi.org/10.1021/es2043855
Koo, C.; Hong, T.; Lee, M.; Park, H. 2013. Estimation of the monthly average daily solar radiation using geographical information system and advanced case-based reasoning, Environmental Science and Technology 47: 4829–4839. https://doi.org/10.1021/es303774a
Koo, C.; Hong, T.; Park, H.; Yun, G. 2014a. Framework for the analysis of the potential of the rooftop photovoltaic system to achieve the net-zero energy solar buildings, Progress in Photovoltaics: Research and Applications 22(4): 462–478. https://doi.org/10.1002/pip.2448
Koo, C.; Hong, T.; Kim, J.; Lee, M. 2014b. An integrated multi-objective optimization model for determining the optimal solution in the rooftop photovoltaic system, Renewable and Sustainable Energy Reviews 57: 822–837. https://doi.org/10.1016/j.rser.2015.12.205
Koo, C.; Hong, T.; Park, J. 2014c. Development of the life-cycle economic and environmental assessment model for establishing the optimal implementation strategy of the rooftop photovoltaic system, Technological and Economic Development of Economy (in press). https://doi.org/10.3846/20294913.2015.1074127
Korea Power Exchange (KPX). 2009. Global Electric Power Industry Trends. Seoul, KPX.
Laleman, R.; Albrecht, J. 2014. Comparing push and pull measures for PV and wind in Europe, Renewable Energy 61: 33–37. https://doi.org/10.1016/j.renene.2012.04.025
Lee, M.; Koo, C.; Hong, T.; Park, H. 2014. Framework for the mapping of the monthly average daily solar radiation using an advanced case-based reasoning and a Geostatistical technique, Environmental Science and Technology 48: 4604–4612. https://doi.org/10.1021/es405293u
Lee, M.; Hong, T.; Koo, C. 2015a. An economic impact analysis of state solar incentives for improving financial performance of residential solar photovoltaic systems in the United States, Renewable and Sustainable Energy Reviews 58: 590–607. https://doi.org/10.1016/j.rser.2015.12.297
Lee, M.; Hong, T.; Yoo, H.; Koo, C.; Kim, J.; Jeong, K.; Jeong, J.; Ji, C. 2015b. Establishment of a base price for the Solar Renewable Energy Credit (SREC) from the perspective of residents and state governments in the United States, Renewable and Sustainable Energy Reviews (in press). https://doi.org/10.1016/j.rser.2016.11.086
Minister of Natural Resources. 2004. RETScreen international: results and impacts 1996–2012. Canada, Minister of Natural Resources.
Minister of Natural Resources. 2010. Clean energy project analysis: RETScreen engineering and cases textbook. Canada, Minister of Natural Resources.
Nevin, R.; Watson, G. 1998. Evidence of rational market valuations for home energy efficiency, The Appraisal Journal 68: 401–409.
Open PV Project Breakeven Analysis. 2015. [online], [cited 20 April 2015]. Available from Internet: http://openpv.nrel.gov/breakeven
PJM. 2015. [online], [cited 20 April 2015]. Available from Internet: http://www.pjm.com/about-pjm
Renewable Energy Policy Network for the 21st Century (REN21). 2013. Global Status Report 2013. Paris, REN21.
SolarPowerRocks. 2015. [online], [cited 20 April 2015]. Available from Internet: www.solarpowerrocks.com
SRECTrade. 2015. [online], [cited 20 April 2015]. Available from Internet: www.srectrade.com
Swift, K. D. 2013. A comparison of the cost and financial returns for solar photovoltaic systems installed by businesses in different locations across the United States, Renewable Energy 57: 137–143. https://doi.org/10.1016/j.renene.2013.01.011
U.S. Energy Information Administration (EIA). 2015. [online], [cited 20 April 2015]. Available from Internet: www.eia.doe.gov
USInflation.org. 2015. [online], [cited 20 April 2015]. Available from Internet: http://usinflation.org/us-inflation-rate/
Wilson, R.; Luckow, P.; Biewald, B.; Ackerman, F.; Hausman, E. 2012. 2012 Carbon dioxide price forecast. Massachusetts, Synapse Energy Economics.
Yingli Solar. 2015. [online], [cited 20 April 2015]. Available from Internet: www.yinglisolar.com/en/
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