Page 98 - Advances in Renewable Energies and Power Technologies

References 71

[9] W. Yunna, S. Geng, Multi-criteria decision making on selection of solarewind hybrid
power station location: a case of China, Energy Convers. Manag. 81 (2014) 527e533,
https://doi.org/10.1016/j.enconman.2014.02.056.
[10] D. Doljak, G. Stanojevi c, Evaluation of natural conditions for site selection of ground-
mounted photovoltaic power plants in Serbia, Energy 127 (2017) 291e300, https://
doi.org/10.1016/j.energy.2017.03.140.
[11] J. Ara ´n Carrio ´n, A. Espı ´n Estrella, F. Aznar Dols, M. Zamorano Toro, M. Rodrı ´guez,
A. Ramos Ridao, Environmental decision-support systems for evaluating the carrying
capacity of land areas: optimal site selection for grid-connected photovoltaic power
plants, Renew. Sustain. Energy Rev. 12 (2008) 2358e2380, https://doi.org/10.1016/
j.rser.2007.06.011.
[12] E. Noorollahi, D. Fadai, M. Akbarpour Shirazi, S. Ghodsipour, Land suitability anal-
ysis for solar farms exploitation using GIS and fuzzy analytic hierarchy process
(FAHP)da case study of Iran, Energies 9 (2016) 643, https://doi.org/10.3390/
en9080643.
[13] J. Suh, J.R.S. Brownson, Solar farm suitability using geographic information system
fuzzy sets and analytic hierarchy processes: case study of Ulleung Island, Korea, En-
ergies 9 (2016), https://doi.org/10.3390/en9080648.
[14] J.M. Sa ´nchez-Lozano, J. Teruel-Solano, P.L. Soto-Elvira, M. Socorro Garcı ´a-Cascales,
Geographical Information Systems (GIS) and Multi-Criteria Decision Making
(MCDM) methods for the evaluation of solar farms locations: case study in south-
eastern Spain, Renew. Sustain. Energy Rev. 24 (2013) 544e556, https://doi.org/
10.1016/j.rser.2013.03.019.
[15] Y. Charabi, A. Gastli, PV site suitability analysis using GIS-based spatial fuzzy multi-
criteria evaluation, Renew. Energy 36 (2011) 2554e2561, https://doi.org/10.1016/
j.renene.2010.10.037.
[16] S. Sindhu, V. Nehra, S. Luthra, Investigation of feasibility study of solar farms deploy-
ment using hybrid AHP-TOPSIS analysis: case study of India, Renew. Sustain. Energy
Rev. 73 (2017) 496e511, https://doi.org/10.1016/j.rser.2017.01.135.
[17] M. Zoghi, A. Houshang Ehsani, M. Sadat, M. Javad Amiri, S. Karimi, Optimization
solar site selection by fuzzy logic model and weighted linear combination method
in arid and semi-arid region: a case study Isfahan-Iran, Renew. Sustain. Energy Rev.
(2015), https://doi.org/10.1016/j.rser.2015.07.014.
[18] A.H.I. Lee, H.Y. Kang, C.Y. Lin, K.C. Shen, An integrated decision-making model for
the location of a PV solar plant, Sustain 7 (2015) 13522e13541, https://doi.org/
10.3390/su71013522.
[19] J.M. Sa ´nchez-Lozano, C. Henggeler Antunes, M.S. Garcı ´a-Cascales, L.C. Dias, GIS-
based photovoltaic solar farms site selection using ELECTRE-TRI: evaluating the case
for Torre Pacheco, Murcia, Southeast of Spain, Renew. Energy 66 (2014) 478e494,
https://doi.org/10.1016/j.renene.2013.12.038.
[20] D. Jun, F. Tian-tian, Y. Yi-sheng, M. Yu, Macro-site selection of wind/solar hybrid po-
wer station based on ELECTRE-II, Renew. Sustain. Energy Rev. 35 (2014) 194e204,
https://doi.org/10.1016/j.rser.2014.04.005.
[21] L.A. Fernandez-Jimenez, M. Mendoza-Villena, P. Zorzano-Santamaria, E. Garcia-
Garrido, P. Lara-Santillan, E. Zorzano-Alba, A. Falces, Site selection for new PV po-
wer plants based on their observability, Renew. Energy 78 (2015) 7e15, https://
doi.org/10.1016/j.renene.2014.12.063.