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Projection of the diffusion of photovoltaic systems in residential low voltage consumers

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  • dos Santos, L.L.C.
  • Canha, L.N.
  • Bernardon, D.P.

Abstract

With the advent of Distributed Generation (DG), the consumers start to play an active role in the electric system, where they are able to invest in a specific generation system, with solar energy, as the most promising source for residential consumers Low Voltage (LV). For system planning studies, the adoption of DG by residential consumers, introduces a factor of uncertainty, since the decision to adhere to DG relays on the subjective judgment of each individual. In this context, this work presents a new methodology for the projection of diffusion of photovoltaic systems in residential consumers of LV. The model was developed using the System Dynamic technique in conjunction with the Bass model to foresee the diffusion of photovoltaic systems in residential consumers throughout time. After the projection of these consumers, the Monte Carlo Method is used to determine the diffusion of Photovoltaic Systems throughout space. Finally, to evaluate the performance and the efficiency of the proposed method, different scenarios of diffusion projection were tested in the southern Brazil. The results demonstrate that the diffusion of Photovoltaic System depends on several factors, for example, the price of the panel's installation, energy tariff, incentives for Photovoltaic systems purchase, adoption by other consumers.

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  • dos Santos, L.L.C. & Canha, L.N. & Bernardon, D.P., 2018. "Projection of the diffusion of photovoltaic systems in residential low voltage consumers," Renewable Energy, Elsevier, vol. 116(PA), pages 384-401.
  • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:384-401
    DOI: 10.1016/j.renene.2017.09.088
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    1. Bronwyn H. Hall, 2004. "Innovation and Diffusion," NBER Working Papers 10212, National Bureau of Economic Research, Inc.
    2. Yamamoto, Yoshihiro, 2015. "Opinion leadership and willingness to pay for residential photovoltaic systems," Energy Policy, Elsevier, vol. 83(C), pages 185-192.
    3. Islam, Towhidul, 2014. "Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data," Energy Policy, Elsevier, vol. 65(C), pages 340-350.
    4. Sardianou, E. & Genoudi, P., 2013. "Which factors affect the willingness of consumers to adopt renewable energies?," Renewable Energy, Elsevier, vol. 57(C), pages 1-4.
    5. Haque, M. Mejbaul & Wolfs, Peter, 2016. "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1195-1208.
    6. Lang, Tillmann & Ammann, David & Girod, Bastien, 2016. "Profitability in absence of subsidies: A techno-economic analysis of rooftop photovoltaic self-consumption in residential and commercial buildings," Renewable Energy, Elsevier, vol. 87(P1), pages 77-87.
    7. Ayompe, L.M. & Duffy, A. & McCormack, S.J. & Conlon, M., 2010. "Projected costs of a grid-connected domestic PV system under different scenarios in Ireland, using measured data from a trial installation," Energy Policy, Elsevier, vol. 38(7), pages 3731-3743, July.
    8. 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.
    9. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    10. Zhai, Pei & Williams, Eric D., 2012. "Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model," Renewable Energy, Elsevier, vol. 41(C), pages 350-357.
    11. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    12. Yang, Chi-Jen, 2010. "Reconsidering solar grid parity," Energy Policy, Elsevier, vol. 38(7), pages 3270-3273, July.
    13. Jimenez, Maritza & Franco, Carlos J. & Dyner, Isaac, 2016. "Diffusion of renewable energy technologies: The need for policy in Colombia," Energy, Elsevier, vol. 111(C), pages 818-829.
    14. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    15. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    16. Holdermann, Claudius & Kissel, Johannes & Beigel, Jürgen, 2014. "Distributed photovoltaic generation in Brazil: An economic viability analysis of small-scale photovoltaic systems in the residential and commercial sectors," Energy Policy, Elsevier, vol. 67(C), pages 612-617.
    17. Bauner, Christoph & Crago, Christine L., 2015. "Adoption of residential solar power under uncertainty: Implications for renewable energy incentives," Energy Policy, Elsevier, vol. 86(C), pages 27-35.
    18. Karakaya, Emrah & Sriwannawit, Pranpreya, 2015. "Barriers to the adoption of photovoltaic systems: The state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 60-66.
    19. Simpson, Genevieve & Clifton, Julian, 2015. "The emperor and the cowboys: The role of government policy and industry in the adoption of domestic solar microgeneration systems," Energy Policy, Elsevier, vol. 81(C), pages 141-151.
    20. Reddy, Sudhakar & Painuly, J.P, 2004. "Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives," Renewable Energy, Elsevier, vol. 29(9), pages 1431-1447.
    21. Ahmadigorji, Masoud & Amjady, Nima, 2016. "A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm," Energy, Elsevier, vol. 102(C), pages 199-215.
    22. Lund, P.D., 2011. "Boosting new renewable technologies towards grid parity – Economic and policy aspects," Renewable Energy, Elsevier, vol. 36(11), pages 2776-2784.
    Full references (including those not matched with items on IDEAS)

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