Bertsch, Valentin and Geldermann, Jutta and Lühn, Tobias (2017): What drives the profitability of household PV investments, self-consumption and self-sufficiency?
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Abstract
Many countries introduced subsidy schemes that were successful in incentivising investments into residential solar PV. The resulting growth of the global PV market was accompanied by cost reductions for PV systems, reductions of PV subsidies and, often, increasing electricity retail prices. Along with decreasing costs for battery storages, these developments made self-consumption and self-sufficiency continuously more attractive. However, the profitability of PV-storage systems depends on many factors, including technological, political and geographical aspects. We present a simulation model to identify the most profitable sizes of PV and storage systems from a household perspective and explore what drives the profitability of self-consumption and self-sufficiency. We compare and contrast Germany and Ireland to account for regulatory and geographical differences. Our results show that PV-storage systems are generally profitable in Germany and that, after minor technology cost reductions, this result holds even in the absence of subsidies. In Ireland, such systems are not yet profitable but this may change soon with expected technology costs reductions. The share of electricity demand that will be required from the grid may be reduced to 25-35%. Implications for the electricity retail business and policy makers are discussed including distributional concerns and system efficiency considerations.
Item Type: | MPRA Paper |
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Original Title: | What drives the profitability of household PV investments, self-consumption and self-sufficiency? |
Language: | English |
Keywords: | Solar PV, self-consumption, self-sufficiency, battery storage |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q42 - Alternative Energy Sources Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q48 - Government Policy |
Item ID: | 78644 |
Depositing User: | Valentin Bertsch |
Date Deposited: | 22 Apr 2017 05:53 |
Last Modified: | 26 Sep 2019 08:32 |
References: | Ahmels, J.; Horn, M.; Lietz, F.; Loges, H.; Lühn, T.; Schlömer, G. et al. (2016): e-home Energieprojekt 2020. Kurzfassung der wissenschaftlichen Projektergebnisse. Göttingen: Cuvillier Verlag. Avacon AG (2016): Prices of the metering point operation. Available online at https://www.avacon.de/cps/rde/xchg/avacon/hs.xsl/114.htm, checked on 9/24/2016. Bardt, Hubertus; Chrischilles, Esther; Growitsch, Christian; Hagspiel, Simeon; Schaupp, Lisa (2014): Eigenerzeugung und Selbstverbrauch von Strom–Stand, Potentiale und Trends. Zeitschrift für Energiewirtschaft 38 (2), pp. 83–99. Bertsch, Valentin; Schwarz, Hannes; Fichtner, Wolf (2014): Layout optimisation of decentralised energy systems under uncertainty. In: Operations Research Proceedings 2013: Springer, pp. 29–35. BMWi (2016): Time series of the development of renewable energy in Germany. Using data of the working group "Renewable Energy Statistics" (AGEE-Stat). Edited by Federal Ministry for Economic Affairs and Energy. Available online at http://www.erneuerbare-energien.de. BNetzA (2016): Feed-in Tariffs for Photovoltaics in Germany. Federal Network Agency. Available online at https://www.bundesnetzagentur.de, checked on 5/25/2016. Braun, Martin; Büdenbender, Kathrin; Magnor, Dirk; Jossen, Andreas (Eds.) (2009): Photovoltaic self-consumption in Germany: using lithium-ion storage to increase self-consumed photovoltaic energy. Candelise, Chiara; Winskel, Mark; Gross, Robert J. K. (2013): The dynamics of solar PV costs and prices as a challenge for technology forecasting. Renewable and Sustainable Energy Reviews 26, pp. 96–107. Chatzivasileiadi, Aikaterini; Ampatzi, Eleni; Knight, Ian (2013): Characteristics of electrical energy storage technologies and their applications in buildings. Renewable and Sustainable Energy Reviews 25, pp. 814–830. Colmenar-Santos, Antonio; Campíñez-Romero, Severo; Pérez-Molina, Clara; Castro-Gil, Manuel (2012): Profitability analysis of grid-connected photovoltaic facilities for household electricity self-sufficiency. Energy Policy 51, pp. 749–764. COM (2011): Energy roadmap 2050. European Commission, COM(2011) 885 final. COM (2016): DIRECTIVE OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on common rules for the internal market in electricity. European Commission, COM(2016) 864 final. Commission for Energy Regulation (2011): Electricity Smart Metering Customer Behaviour Trials (CBT) Findings Report. Commission for Energy Regulation. Dublin. DCENR (2015): Ireland's transition to a low carbon energy future: 2015-2030. White paper by the Department for Communications, Energy and Natural Resources, Ireland. Di Cosmo, V.; Lyons, S.; Nolan, A. (2014): Estimating the Impact of Time-of-use Pricing on Irish Electricity Demand. Energy Journal 5 (2). DWD (2017): Globalstrahlung in der Bundesrepublik Deutschland. Abweichung der Jahressumme 2014 zum langjährigen Mittel. Deutscher Wetterdienst. Ellsworth-Krebs, Katherine; Reid, Louise (2016): Conceptualising energy prosumption: Exploring energy production, consumption and microgeneration in Scotland, UK. Environment and Planning A 48 (10), pp. 1988–2005. Farrell, Niall; Lyons, Seán (2015): Who should pay for renewable energy? Comparing the household impacts of different policy mechanisms in Ireland. Energy Research & Social Science 7, pp. 31–42. Feldman, David; Barbose, Galen; Margolis, Robert; Bolinger, Mark; Chung, Donald; Fu, Ran et al. (2015): Photovoltaic System Pricing Trends. Fraunhofer ISE (2015): Current and Future Cost of Photovoltaics. Long-term Scenarios for Market Development, System Prices and LCOE of Utility-Scale PV Systems. Agora Energiewende, checked on 3/15/2017. German Solar Energy Society (2012): Planning and installing photovoltaic systems. A guide for installers, architects and engineers. 3rd ed. London: Earthscan. Graebig, Markus; Erdmann, Georg; Röder, Stefan (Eds.) (2014): Assessment of residential battery systems (RBS): profitability, perceived value proposition, and potential business models. Hagerman, Shelly; Jaramillo, Paulina; Morgan, M. Granger (2016): Is rooftop solar PV at socket parity without subsidies? Energy Policy 89, pp. 84–94. Hayn, Marian; Bertsch, Valentin; Fichtner, Wolf (2014): Electricity load profiles in Europe: The importance of household segmentation. Energy Research & Social Science 3, pp. 30–45. Hoppmann, Joern; Volland, Jonas; Schmidt, Tobias S.; Hoffmann, Volker H. (2014): The economic viability of battery storage for residential solar photovoltaic systems–A review and a simulation model. Renewable and sustainable energy reviews 39, pp. 1101–1118. Huijben, JCCM; Verbong, G. P.J. (2013): Breakthrough without subsidies? PV business model experiments in the Netherlands. Energy Policy 56, pp. 362–370. IEA (2014): Technology Roadmap Solar Photovoltaic Energy - 2014 edition. Edited by International Energy Agency, checked on 3/15/2017. IRENA (2016): The Power to Change. Solar and Wind Cost Reduction Potential to 2025, checked on 3/15/2017. Irish Social Science Data Archive (2012): Data from the Commission for Energy Regulation (CER) – smart metering project. Dublin. Available online at http://www.ucd.ie/issda/data/. ISEA (2016): Storage Monitoring. Scientific Measuring and Evaluation Program of Solar Storage Systems. With assistance of Kai-Philipp Kairies, D. Haberschusz, D. Magnor, Matthias, L. Badeda, J., D. U. Sauer. Institute for Converter Technology and Electric Drive. Available online at http://www.speicherinitiative.at, updated on 2016, checked on 11/16/2016. Johann, Axel; Madlener, Reinhard (2014): Profitability of energy storage for raising self-consumption of solar power: Analysis of different household types in Germany. Energy Procedia 61, pp. 2206–2210. Karakaya, Emrah; Hidalgo, Antonio; Nuur, Cali (2015): Motivators for adoption of photovoltaic systems at grid parity: A case study from Southern Germany. Renewable and Sustainable Energy Reviews 43, pp. 1090–1098. Kaschub, Thomas; Jochem, Patrick; Fichtner, Wolf (2016): Solar energy storage in German households: profitability, load changes and flexibility. Energy Policy 98, pp. 520–532. Khalilpour, Kaveh Rajab; Vassallo, Anthony (2016): Technoeconomic parametric analysis of PV-battery systems. Renewable Energy 97, pp. 757–768. Khalilpour, Rajab; Vassallo, Anthony (2015): Leaving the grid: An ambition or a real choice? Energy Policy 82, pp. 207–221. La Monaca, Sarah; Ryan, Lisa (2016): Solar PV where the sun doesn’t shine: Estimating the economic impacts of support schemes for residential PV with detailed net demand profiling (WP16/19). La Munoz, Hurtado; Huijben, JCCM; Verhees, B.; Verbong, G. P.J. (2014): The power of grid parity: A discursive approach. Technological Forecasting and Social Change 87, pp. 179–190. Linssen, Jochen; Stenzel, Peter; Fleer, Johannes (2015): Techno-economic analysis of photovoltaic battery systems and the influence of different consumer load profiles. Applied Energy. Lühn, Tobias; Geldermann, Jutta (2017): Operating Strategies for Battery Storage Systems in Low-Voltage Grids to Limit the Feed-In Power of Solar Power Systems Using Fuzzy Control. Zeitschrift für Energiewirtschaft (in press). Luthander, Rasmus; Widén, Joakim; Nilsson, Daniel; Palm, Jenny (2015): Photovoltaic self-consumption in buildings: A review. Applied Energy 142, pp. 80–94. Mainzer, Kai; Fath, Karoline; McKenna, Russell; Stengel, Julian; Fichtner, Wolf; Schultmann, Frank (2014): A high-resolution determination of the technical potential for residential-roof-mounted photovoltaic systems in Germany. Solar Energy 105, pp. 715–731. McLoughlin, Fintan; Duffy, Aidan; Conlon, Michael (2015): A clustering approach to domestic electricity load profile characterisation using smart metering data. Applied Energy 141, pp. 190–199. Mulder, Grietus; Six, Daan; Claessens, Bert; Broes, Thijs; Omar, Noshin; van Mierlo, Joeri (2013): The dimensioning of PV-battery systems depending on the incentive and selling price conditions. Applied Energy 111, pp. 1126–1135. Nyholm, Emil; Goop, Joel; Odenberger, Mikael; Johnsson, Filip (2016): Solar photovoltaic-battery systems in Swedish households–Self-consumption and self-sufficiency. Applied Energy 183, pp. 148–159. Pflugradt, Noah (2016): LoadProfileGenerator. Available online at http://www.loadprofilegenerator.de/. Photovoltaics Centre (2016): Net Prices of Turnkey Photovoltaic Systems up to 100 kWp. Available online at http://www.photovoltaik-guide.de/pv-preisindex, checked on 11/10/2016. Photovoltaikversicherung 24 (2016): Comparison of Photovoltaic Insurances. Available online at https://www.photovoltaikversicherung24.de/pvsuche.php, checked on 7/5/2016. Ritzenhoff, Peter (1992): Erstellung eines Modells zur Simulation der Solarstrahlung auf beliebig orientierte Flächen und deren Trennung in Diffus-und Direktanteil: Forschungszentrum Jülich, Zentralbibliothek. Ruppert, Manuel; Hayn, Marian; Bertsch, Valentin; Fichtner, Wolf (2016): Impact of residential electricity tariffs with variable energy prices on low voltage grids with photovoltaic generation. International Journal of Electrical Power & Energy Systems 79, pp. 161–171. Simshauser, Paul (2016): Distribution network prices and solar PV: Resolving rate instability and wealth transfers through demand tariffs. Energy Economics 54, pp. 108–122. Solangi, K. H.; Islam; Saidur, R.; Rahim, N. A.; Fayaz, H. (2011): A review on global solar energy policy. Renewable and Sustainable Energy Reviews 15 (4), pp. 2149–2163. SolaranlagenPortal (2016): Wartung von Photovoltaikanlagen. Available online at http://www.solaranlagen-portal.com, checked on 9/20/2016. Spertino, Filippo; Di Leo, Paolo; Cocina, Valeria (2014): Which are the constraints to the photovoltaic grid-parity in the main European markets? Solar Energy 105, pp. 390–400. Steinhilber, Simone; Geldermann, Jutta; Wietschel, Martin (2016): Renewables in the EU after 2020: a multi-criteria decision analysis in the context of the policy formation process. EURO Journal on Decision Processes 4 (1-2), pp. 119–155. Stenzel, Peter; Linssen, Jochen; Fleer, Johannes (2015): Impact of different load profiles on cost optimal system designs for battery supported PV systems. Energy Procedia 75, pp. 1862–1868. VDE (2015): Battery storage systems in the low and medium voltage level. Applications, profitability and impacts on the electric grid. Edited by Verband der Elektrotechnik. Energietechnischen Gesellschaft (ETG). Available online at https://www.vde.com, checked on 11/1/2016. Verivox GmbH (2016): Structure of the German electricity price in 2016. Available online at http://www.verivox.de/themen/strompreiszusammensetzung/, checked on 9/15/2016. Vieira, Filomeno M.; Moura, Pedro S.; Almeida, Aníbal T. de (2017): Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings. Renewable Energy 103, pp. 308–320. Vrettos, Evangelos; Witzig, Andreas; Kurmann, Roland; Koch, Stephan; Andersson, Göran (2013): Maximizing local PV utilization using small-scale batteries and flexible thermal loads. EU PVSEC. Weniger, Johannes; Tjaden, Tjarko; Quaschning, Volker (2014): Sizing of Residential PV Battery Systems. Energy Procedia 46, pp. 78–87. DOI: 10.1016/j.egypro.2014.01.160. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/78644 |