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Evaluation of the Efficiency of the Solar Energy System of the Brazilian States

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Operations Management for Social Good (POMS 2018)

Abstract

This article aims to evaluate the hybrid efficiency of solar and electrical energy for all Brazilian states. This assessment required a financial and economic analysis. From this model, we used the network data envelopment analysis to identify the most efficient state and formulate improvements.

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References

  1. Azadeh, A., Sheikhalishahi, M., Asadzadeh, S.M.: A flexible neural network-fuzzy data envelopment analysis approach for location optimization of solar plants with uncertainty and complexity. Renewable Energy 36(12), 3394–3401 (2011)

    Article  Google Scholar 

  2. Banker, R.D., Charnes, A., Cooper, W.W.: Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30(9), 1078–1092 (1984)

    Article  Google Scholar 

  3. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)

    Article  Google Scholar 

  4. Chiu, Y., Yi Ke, T., Zhou, Z.-S., Chun Cheng, S.: A performance evaluation of the cross-strait solar photovoltaic industry. J. Renew. Sustain. Energy 6(1), 013133 (2014)

    Article  Google Scholar 

  5. Chueh, H.E., Jheng, J.Y.: Evaluation of Taiwanese solar cell industry operational performance using two-stage data envelopment analysis. Appl. Mech. Mater. 224, 51–54 (2012)

    Article  Google Scholar 

  6. Cucchiella, F., Gastaldi, M.: Data envelopment analysis to compare renewable energy efficiency in the Italian regions. Adv. Mater. Res. 912, 1607–1611 (2014)

    Google Scholar 

  7. Färe, R., Grosskopf, S.: Theory and application of directional distance functions. J. Prod. Anal. 13(2), 93–103 (2000)

    Article  Google Scholar 

  8. Ghosh, S., Yadav, V.K., Mukherjee, V., Yadav, P.: Evaluation of relative impact of aerosols on photovoltaic cells through combined Shannon’s entropy and Data Envelopment Analysis (DEA). Renewable Energy 105, 344–353 (2017)

    Article  Google Scholar 

  9. Goto, M., Sueyoshi, T.: DEA efficiency analysis of solar photovoltaic power stations in Germany and the United States. In: Energy & the Economy, 37th IAEE International Conference, June 15–18, International Association for Energy Economics (2014)

    Google Scholar 

  10. Groth, J.A.: Usina de geração fotovoltaica: custo de implementação, operação e taxa de retorno de investimento. Porto Alegre (2013)

    Google Scholar 

  11. Kao, C.: Efficiency decomposition in network data envelopment analysis: a relational model. Eur. J. Oper. Res. 192(3), 949–962 (2009)

    Article  Google Scholar 

  12. Kao, C.: Network data envelopment analysis: a review. Eur. J. Oper. Res. 239(1), 1–16 (2014)

    Article  Google Scholar 

  13. Kao, C., Hwang, S.N.: Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in Taiwan. Eur. J. Oper. Res. 185(1), 418–429 (2008)

    Article  Google Scholar 

  14. Lo Storto, C., Ferruzzi, G.: Benchmarking economical efficiency of renewable energy power plants: a data envelopment analysis approach. Adv. Mater. Res. 772, 699–704 (2013)

    Article  Google Scholar 

  15. San Cristóbal, J.R.: A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies. Renewable Energy 36(10), 2742–2746 (2011)

    Article  Google Scholar 

  16. Sozen, A., Mirzapour, A., Çakir, M.T.: Selection of the best location for solar plants in Turkey. J. Energy South. Afr. 26(4), 52–63 (2015)

    Article  Google Scholar 

  17. Wang, Z., Li, Y., Wang, K., Huang, Z.: Environment-adjusted operational performance evaluation of solar photovoltaic power plants: a three stage efficiency analysis. Renew. Sustain. Energy Rev. 76, 1153–1162 (2017)

    Article  Google Scholar 

  18. Wang, D.D., Sueyoshi, T.: Assessment of large commercial rooftop photovoltaic system installations: evidence from California. Appl. Energy 188, 45–55 (2017)

    Article  Google Scholar 

  19. Yokota, S., Kumano, T.: Mega-solar optimal allocation using data envelopment analysis. Electr. Eng. Jpn. 183(4), 24–32 (2013)

    Article  Google Scholar 

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Correspondence to Mariana Rodrigues de Almeida .

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de Almeida, M.R., de Mello, J.C.C.B.S., do Valle, W.G.R., Torres, B.G., de Lima, A.J.T., de Jesus Martinhon, C.A. (2020). Evaluation of the Efficiency of the Solar Energy System of the Brazilian States. In: Leiras, A., González-Calderón, C., de Brito Junior, I., Villa, S., Yoshizaki, H. (eds) Operations Management for Social Good. POMS 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-23816-2_6

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