IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i8p2178-d164753.html
   My bibliography  Save this article

Investment Determinants in Self-Consumption Facilities: Characterization and Qualitative Analysis in Spain

Author

Listed:
  • José Ángel Gimeno

    (CIRCE Institute, University of Zaragoza, 50018 Zaragoza, Spain)

  • Eva Llera

    (Department of Mechanical Engineering, CIRCE Institute, University of Zaragoza, 50018 Zaragoza, Spain)

  • Sabina Scarpellini

    (Department of Accounting and Finance, CIRCE Institute, University of Zaragoza, 50018 Zaragoza, Spain)

Abstract

Self-consumption energy facilities are presented as viable and sustainable solutions in the energy transition scenario in which many countries are immersed. However, they rely on dispersed and private investments in the territory. Given the uneven growth in the number of self-consumption facilities in Europe, the main objective of this study is to identify and measure the investment determinants in self-consumption facilities. To this end, the main influential incentives and barriers are identified through the aggregate analysis of the regulatory framework for self-consumption in several European countries, and the empirical characterization of Spanish facilities as a multiple case study, to define the common features of the investments made. The technical, economic, and financial characterization of real self-consumption facilities in climatic zones of southern Europe is a significant contribution of the present work. There are few samples of this type in the studies published to date, which have mainly been prepared from case studies or statistical data without identifying particular facilities. Cost-related variables have been identified as the most important variables in private investment decisions, and potential influential factors on these variables that could be regulated have been pointed out as relevant. It is also worth highlighting the elaboration of an analytical framework based on this conceptual approach, which has been proven to be useful to depict regulatory scenarios and to compare the positioning for the development of self-consumption systems in different countries. A model that transfers the influence of the determining factors to the deployment of self-consumption under specific regulatory scenarios has been developed and applied to the case of Spain. As a general reflection, to increase the adoption of this kind of technology and encourage consumers to make private investments, policies for renewable energy must consider self-consumption and microgeneration as the main axis, by increasing the availability of energy when necessary. For instance, the promotion of energy storage from these kinds of facilities could receive priority treatment, as well as rewarding the electricity surplus in the interests of security of supply in a period of energy transition towards a new, more sustainable model. Incentive schemes, aids to compensate for the additional costs resulting from the battery storage or easing restrictions in terms of contracted power would foreseeably increase the rates of adoption of the technology, favoring its faster development in terms of research and development and product innovation.

Suggested Citation

  • José Ángel Gimeno & Eva Llera & Sabina Scarpellini, 2018. "Investment Determinants in Self-Consumption Facilities: Characterization and Qualitative Analysis in Spain," Energies, MDPI, vol. 11(8), pages 1-24, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2178-:d:164753
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/8/2178/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/8/2178/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Carlos J. Sarasa-Maestro & Rodolfo Dufo-López & José L. Bernal-Agustín, 2016. "Analysis of Photovoltaic Self-Consumption Systems," Energies, MDPI, vol. 9(9), pages 1-18, August.
    3. Foxon, T. J. & Gross, R. & Chase, A. & Howes, J. & Arnall, A. & Anderson, D., 2005. "UK innovation systems for new and renewable energy technologies: drivers, barriers and systems failures," Energy Policy, Elsevier, vol. 33(16), pages 2123-2137, November.
    4. Andrea Masini & Emanuela Menichetti, 2013. "Investment decisions in the renewable energy sector: An analysis of non-financial drivers," Post-Print hal-00796331, HAL.
    5. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    6. Johansson, Per-Olov, 2016. "On lessons from energy and environmental cost–benefit analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 20-25.
    7. Faiers, Adam & Neame, Charles & Cook, Matt, 2007. "The adoption of domestic solar-power systems: Do consumers assess product attributes in a stepwise process?," Energy Policy, Elsevier, vol. 35(6), pages 3418-3423, June.
    8. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2015. "Environmental impacts of microgeneration: Integrating solar PV, Stirling engine CHP and battery storage," Applied Energy, Elsevier, vol. 139(C), pages 245-259.
    9. Geels, Frank W., 2010. "Ontologies, socio-technical transitions (to sustainability), and the multi-level perspective," Research Policy, Elsevier, vol. 39(4), pages 495-510, May.
    10. Andrea Masini & Emanuela Menichetti, 2013. "Investment Decisions in the Renewable Energy Sector: An Analysis of Non-Financial Drivers," Working Papers hal-01947453, HAL.
    11. Dufo-López, Rodolfo & Cristóbal-Monreal, Iván R. & Yusta, José M., 2016. "Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation," Renewable Energy, Elsevier, vol. 94(C), pages 280-293.
    12. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    13. Masini, Andrea & Menichetti, Emanuela, 2013. "Investment decisions in the renewable energy sector: An analysis of non-financial drivers," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 510-524.
    14. López Prol, Javier, 2018. "Regulation, profitability and diffusion of photovoltaic grid-connected systems: A comparative analysis of Germany and Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1170-1181.
    15. Masini, Andrea & Menichetti , Emanuela, 2013. "Investment Decisions in the Renewable Energy Sector: An Analysis of Non-Financial Drivers," HEC Research Papers Series 976, HEC Paris.
    16. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    17. 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, Elsevier, vol. 51(C), pages 749-764.
    18. Palm, Jenny, 2018. "Household installation of solar panels – Motives and barriers in a 10-year perspective," Energy Policy, Elsevier, vol. 113(C), pages 1-8.
    19. Mir-Artigues, Pere & Cerdá, Emilio & del Río, Pablo, 2015. "Analyzing the impact of cost-containment mechanisms on the profitability of solar PV plants in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 166-177.
    20. Orioli, Aldo & Di Gangi, Alessandra, 2015. "The recent change in the Italian policies for photovoltaics: Effects on the payback period and levelized cost of electricity of grid-connected photovoltaic systems installed in urban contexts," Energy, Elsevier, vol. 93(P2), pages 1989-2005.
    21. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    22. Cheng, Y.S. & Cao, K.H. & Woo, C.K. & Yatchew, A., 2017. "Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong," Energy Policy, Elsevier, vol. 109(C), pages 218-227.
    23. López Prol, Javier & Steininger, Karl W., 2017. "Photovoltaic self-consumption regulation in Spain: Profitability analysis and alternative regulation schemes," Energy Policy, Elsevier, vol. 108(C), pages 742-754.
    24. Delmas, Magali A. & Montes-Sancho, Maria J., 2011. "U.S. state policies for renewable energy: Context and effectiveness," Energy Policy, Elsevier, vol. 39(5), pages 2273-2288, May.
    25. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
    26. Rai, Varun & Reeves, D. Cale & Margolis, Robert, 2016. "Overcoming barriers and uncertainties in the adoption of residential solar PV," Renewable Energy, Elsevier, vol. 89(C), pages 498-505.
    27. Engelken, Maximilian & Römer, Benedikt & Drescher, Marcus & Welpe, Isabell, 2018. "Why homeowners strive for energy self-supply and how policy makers can influence them," Energy Policy, Elsevier, vol. 117(C), pages 423-433.
    28. Korcaj, Liridon & Hahnel, Ulf J.J. & Spada, Hans, 2015. "Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers," Renewable Energy, Elsevier, vol. 75(C), pages 407-415.
    29. Leenheer, Jorna & de Nooij, Michiel & Sheikh, Omer, 2011. "Own power: Motives of having electricity without the energy company," Energy Policy, Elsevier, vol. 39(9), pages 5621-5629, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesús Fraile Ardanuy & Roberto Alvaro-Hermana & Sandra Castano-Solis & Julia Merino, 2022. "Carbon-Free Electricity Generation in Spain with PV–Storage Hybrid Systems," Energies, MDPI, vol. 15(13), pages 1-20, June.
    2. Gallego-Castillo, Cristobal & Heleno, Miguel & Victoria, Marta, 2021. "Self-consumption for energy communities in Spain: A regional analysis under the new legal framework," Energy Policy, Elsevier, vol. 150(C).
    3. Jos? ?ngel Gimeno & Eva Llera Sastresa & Sabina Scarpellini, 2020. "Determinants and barriers of PV self-consumption in Spain from the perception of the installers for the promotion of distributed energy systems," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 153-169.
    4. Sabina Scarpellini & José Ángel Gimeno & Pilar Portillo-Tarragona & Eva Llera-Sastresa, 2021. "Financial Resources for the Investments in Renewable Self-Consumption in a Circular Economy Framework," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    5. Eduardo Manuel Godinho Rodrigues & Radu Godina & Mousa Marzband & Edris Pouresmaeil, 2018. "Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity," Energies, MDPI, vol. 11(11), pages 1-21, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sabina Scarpellini & José Ángel Gimeno & Pilar Portillo-Tarragona & Eva Llera-Sastresa, 2021. "Financial Resources for the Investments in Renewable Self-Consumption in a Circular Economy Framework," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    2. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    3. Jos? ?ngel Gimeno & Eva Llera Sastresa & Sabina Scarpellini, 2020. "Determinants and barriers of PV self-consumption in Spain from the perception of the installers for the promotion of distributed energy systems," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 153-169.
    4. Karjalainen, Sami & Ahvenniemi, Hannele, 2019. "Pleasure is the profit - The adoption of solar PV systems by households in Finland," Renewable Energy, Elsevier, vol. 133(C), pages 44-52.
    5. Michaela Makešová & Michaela Valentová, 2021. "The Concept of Multiple Impacts of Renewable Energy Sources: A Critical Review," Energies, MDPI, vol. 14(11), pages 1-21, May.
    6. Bertsch, Valentin & Di Cosmo, Valeria, 2018. "Are Renewables Profitable in 2030? A Comparison between Wind and Solar across Europe," ESP: Energy Scenarios and Policy 276178, Fondazione Eni Enrico Mattei (FEEM).
    7. Evangelia Karasmanaki & Evangelos Grigoroudis & Spyridon Galatsidas & Georgios Tsantopoulos, 2023. "Citizen Satisfaction with Renewable Energy Investments: A Multi-Criteria Satisfaction Analysis," Energies, MDPI, vol. 16(10), pages 1-20, May.
    8. Escoffier, Margaux & Hache, Emmanuel & Mignon, Valérie & Paris, Anthony, 2021. "Determinants of solar photovoltaic deployment in the electricity mix: Do oil prices really matter?," Energy Economics, Elsevier, vol. 97(C).
    9. Felipe Moraes do Nascimento & Julio Cezar Mairesse Siluk & Fernando de Souza Savian & Taís Bisognin Garlet & José Renes Pinheiro & Carlos Ramos, 2020. "Factors for Measuring Photovoltaic Adoption from the Perspective of Operators," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    10. Thipnapa Huansuriya & Kris Ariyabuddhiphongs, 2023. "Predicting Residential Photovoltaic Adoption Intention of Potential Prosumers in Thailand: A Theory of Planned Behavior Model," Energies, MDPI, vol. 16(17), pages 1-20, August.
    11. Vazquez, A. & Iglesias, G., 2016. "Grid parity in tidal stream energy projects: An assessment of financial, technological and economic LCOE input parameters," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 89-101.
    12. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.
    13. Kraan, O. & Kramer, G.J. & Nikolic, I., 2018. "Investment in the future electricity system - An agent-based modelling approach," Energy, Elsevier, vol. 151(C), pages 569-580.
    14. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. Bertsch, Valentin & Di Cosmo, Valeria, 2020. "Are renewables profitable in 2030 and do they reduce carbon emissions effectively? A comparison across Europe," MPRA Paper 101822, University Library of Munich, Germany.
    16. Curtin, Joseph & McInerney, Celine & Ó Gallachóir, Brian, 2017. "Financial incentives to mobilise local citizens as investors in low-carbon technologies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 534-547.
    17. Hu, Jing & Harmsen, Robert & Crijns-Graus, Wina & Worrell, Ernst, 2018. "Barriers to investment in utility-scale variable renewable electricity (VRE) generation projects," Renewable Energy, Elsevier, vol. 121(C), pages 730-744.
    18. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    19. Tongyu Meng & Jamie Newth & Christine Woods, 2022. "Ethical Sensemaking in Impact Investing: Reasons and Motives in the Chinese Renewable Energy Sector," Journal of Business Ethics, Springer, vol. 179(4), pages 1091-1117, September.
    20. Palm, Alvar & Lantz, Björn, 2020. "Information dissemination and residential solar PV adoption rates: The effect of an information campaign in Sweden," Energy Policy, Elsevier, vol. 142(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2178-:d:164753. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.