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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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)
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)
Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)
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)
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)
Cucchiella, F., Gastaldi, M.: Data envelopment analysis to compare renewable energy efficiency in the Italian regions. Adv. Mater. Res. 912, 1607–1611 (2014)
Färe, R., Grosskopf, S.: Theory and application of directional distance functions. J. Prod. Anal. 13(2), 93–103 (2000)
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)
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)
Groth, J.A.: Usina de geração fotovoltaica: custo de implementação, operação e taxa de retorno de investimento. Porto Alegre (2013)
Kao, C.: Efficiency decomposition in network data envelopment analysis: a relational model. Eur. J. Oper. Res. 192(3), 949–962 (2009)
Kao, C.: Network data envelopment analysis: a review. Eur. J. Oper. Res. 239(1), 1–16 (2014)
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)
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)
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)
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)
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)
Wang, D.D., Sueyoshi, T.: Assessment of large commercial rooftop photovoltaic system installations: evidence from California. Appl. Energy 188, 45–55 (2017)
Yokota, S., Kumano, T.: Mega-solar optimal allocation using data envelopment analysis. Electr. Eng. Jpn. 183(4), 24–32 (2013)
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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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