How to cite this paper
Ighravwe, D & Babatunde, M. (2018). Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets.Decision Science Letters , 7(4), 427-442.
Refrences
African Development Bank Group (2016). Green Mini-Grids in Sub-Saharan Africa: Analysis of Barriers to Growth and the Potential Role of the African Development Bank in Supporting the Sector http://www.energy4impact.org/sites/default/files/policy_briefing_-_mini-grid_final.pdf].
Afgan, N.H., & Carvalho, M.G. (2002). Multi-criteria assessment of new and renewable energy power plants. Energy, 27(8), 739-755.
Akinbulire, T.O., Oluseyi, P.O., & Babatunde, O.M. (2014). Techno-economic and environmental evaluation of demand-side management techniques for rural electrification in Ibadan, Nigeria. International Journal of Energy and Environmental Engineering, 5(4), 375-385.
Akinyele, D. (2017). Techno-economic design and performance analysis of nanogrid systems for households in energy-poor villages. Sustainable Cities and Society, 34, 335-357.
Alzola, J.A., Vechiu, I., Camblong, H., Santos, M., Sall, M., & Sow, G. (2009). Microgrids project, Part 2: Design of an electrification kit with high content of renewable energy sources in Senegal. Renewable Energy, 34(10), 2151-2159.
Anderson, T., Doig, A., Rees, D., & Khennas, S. (1999). Rural energy services: a handbook for sustainable energy development. Intermediate Technology Publications Ltd (ITP).
Barnes, D., & Foley, G. (2004). Rural electrification in the developing world: a summary of lessons from successful programs. Joint UNDP/World Bank Energy Sector Management Assistance Programme (ESMAP), World Bank, Washington, DC.
Bhattacharyya, S. C., & Palit, D. (Eds.). (2014). Mini-grids for rural electrification of developing countries: analysis and case studies from South Asia. Springer.
Bonaccorsi, A., Giannangeli, S., & Rossi, C. (2006). Entry strategies under competing standards: Hybrid business models in the open source software industry. Management Science, 52(7), 1085-1098.
Burmester, D., Rayudu, R., Seah, W., & Akinyele, D. (2017). A review of nanogrid topologies and technologies. Renewable and Sustainable Energy Reviews, 67, 760-775.
Chakraborty, S., & Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
Chen, S.H., & Hsieh, C. H. (2000). Representation, ranking, distance, and similarity of LR type fuzzy number and application. Australian Journal of Intelligent Processing Systems, 6(4), 217-229.
Couture, T., & Gagnon, Y. (2010). An analysis of feed-in tariff remuneration models: Implications for renewable energy investment. Energy policy, 38(2), 955-965.
Ding, J. F. (2011). An integrated fuzzy TOPSIS method for ranking alternatives and its application. Journal of Marine Science and Technology, 19(4), 341-352.
Ding, S. H., & Kamaruddin, S. (2015). Assessment of distance-based multi-attribute group decision-making methods from a maintenance strategy perspective. Journal of Industrial Engineering International, 11(1), 73-85.
Franz, M., Peterschmidt, N., Rohrer, M., & Kondev, B. (2014). Mini-grid Policy Toolkit: Policy and Business Frameworks for Succesful Mini-grid Roll Outs. GIZ.
Ghorabaee, M.K, Amiri, M., Kazimieras Zavadskas, E.K., & Antuchevičienė, J. (2017a). Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66-78.
Ghorabaee, M. K., Amiri, M., Zavadskas, E.K., & Turskis, Z. (2017b). Multi-criteria group decision-making using an extended EDAS method with interval type-2 fuzzy sets.
Ghorabaee, M.K, Zavadskas, E.K., Amiri, M., & Antucheviciene, J. (2016). A new method of assessment based on fuzzy ranking and aggregated weights (AFRAW) for MCDM problems under type-2 fuzzy environment.
GVEP International (2011). Policy brierfing: The history of mini-grid development in developing countries: http://www.energy4impact.org/sites/default/files/policy_briefing_-_mini-grid_final.pdf].
Haralambopoulos, D.A., & Polatidis, H. (2003). Renewable energy projects: structuring a multi-criteria group decision-making framework. Renewable energy, 28(6), 961-973.
Hatziargyriou, N., Asano, H., Iravani, R., & Marnay, C. (2007). Microgrids. IEEE power and energy magazine, 5(4), 78-94.
International Energy Agency (IEA). (2014). Africa energy outlook: A focus on energy prospects in Sub-Saharan Africa.
Ighravwe, D.E., & Oke, S. A. (2017). A multi-hierarchical framework for ranking maintenance sustainability strategies using PROMETHEE and fuzzy entropy methods. Journal of Building Pathology and Rehabilitation, 2(1), 9.
Ighravwe, D.E., & Babatunde, O.M. (2018). Development of multi-criteria models for mini-grid management in developing countries. https://www.researchgate.net/publication/322331397_Data_for_mini-grid_business_model_evaluation
Kahraman, C., Oztayşi, B., Sarı, I. U., & Turanoğlu, E. (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59, 48-57.
Katiraei, F., Iravani, M. R., & Lehn, P. W. (2005). Micro-grid autonomous operation during and subsequent to islanding process. IEEE Transactions on power delivery, 20(1), 248-257.
Kahraman, C., Kaya, I., & Cebi, S. (2009). A comparative analysis for multi-attribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy, 34, 1603-1616.
Kahraman, C., & Kaya, İ. (2010). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37(9), 6270-6281.
Kaya, T., & Kahraman, C. (2011). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577-6585.
Kaya, T., & Kahraman, C. (2010). Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 35(6), 2517-2527.
Kirubi, C., Jacobson, A., Kammen, D. M., & Mills, A. (2009). Community-based electric micro-grids can contribute to rural development: evidence from Kenya. World development, 37(7), 1208-1221.
Knuckles, J. (2016). Business models for mini-grid electricity in base of the pyramid markets. Energy for Sustainable Development, 31, 67-82.
Krause, M., & Nordström, S. (2004). Solar Photovoltaics in Africa: Experiences with financing and delivery models. Global Environment Facility.
Lasseter, R. H. (2002). Microgrids. In Power Engineering Society Winter Meeting, 2002. IEEE (Vol. 1, pp. 305-308). IEEE.
Makori, V.K. (2015). Effective Approaches of Monitoring Results–Based Financing Project (Doctoral dissertation, United States International University-Africa).
Malkawi, S., & Azizi, D. (2017). A multi-criteria optimization analysis for Jordan's energy mix. Energy, 127, 680-696.
Martinot, E., Chaurey, A., Lew, D., Moreira, J. R., & Wamukonya, N. (2002). Renewable energy markets in developing countries. Annual review of energy and the environment, 27(1), 309-348.
Polatidis, A. G., & Conway, J. E. (2003). Proper motions in compact symmetric objects. Publications of the Astronomical Society of Australia, 20(1), 69-74.
Polatidis, H., Haralambopoulos, D. A., Munda, G., & Vreeker, R. (2006). Selecting an appropriate multi-criteria decision analysis technique for renewable energy planning. Energy Sources, Part B, 1(2), 181-193.
Rolland, S. (2011). Rural electrification with renewable energy. Alliance for Rural Electification, Brussels.
San Cristóbal, J. R. (2011). Multi-criteria decision-making in the selection of a renewable energy project in Spain: The Vikor method. Renewable energy, 36(2), 498-502.
Sehgal, R., Mehrotra, D., & Bala, M. (2018). Prioritizing the refactoring need for critical component using combined approach. Decision Science Letters, 7(3), 257-272.
Şengül, Ü, Eren, M., Shiraz, S.E., Gezder, V., & Şengül, A. B. (2015). Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy, 75, 617-625.
Sindhu, S.P., Nehra, V., & Luthra, S. (2016). Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook. Energy, 100, 332-348.
Streimikienė, D., Šliogerienė, J., & Turskis, Z. (2016). Multi-criteria analysis of electricity generation technologies in Lithuania. Renewable Energy, 85, 148-156.
Sun, C.C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745-7754.
Tenenbaum, B., Greacen, C., Siyambalapitiya, T., & Knuckles, J. (2014). From the bottom up: how small power producers and mini-grids can deliver electrification and renewable energy in Africa. World Bank Publications.
Tsoutsos, T., Drandaki, M., Frantzeskaki, N., Iosifidis, E., & Kiosses, I. (2009). Sustainable energy planning by using multi-criteria analysis application in the island of Crete. Energy Policy, 37(5), 1587-1600.
Ulsrud, K., Winther, T., Palit, D., Rohracher, H., & Sandgren, J. (2011). The solar transitions research on solar mini-grids in India: Learning from local cases of innovative socio-technical systems. Energy for Sustainable Development, 15(3), 293-303.
Winiecki, J., Cortiglia, K., Morris, E., & Chowdhary, S. (2008). Sparking Strong Partnerships: Field Tips from Microfinance Institutions and Energy Companies on Partnering To Expand Access to Energy Services. Washington, DC: Small Enterprise Education and Promotion (SEEP) Network and Sustainable Energy Solutions. SEEP Network & Sustainable Energy Solutions.
World Bank (2008). Issues Note of the REToolkit: A Resource for Renewable Energy Development. Washington D.C.: World Bank.
Zavadskas, E.K, Bausys, R., & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923-15936.
Afgan, N.H., & Carvalho, M.G. (2002). Multi-criteria assessment of new and renewable energy power plants. Energy, 27(8), 739-755.
Akinbulire, T.O., Oluseyi, P.O., & Babatunde, O.M. (2014). Techno-economic and environmental evaluation of demand-side management techniques for rural electrification in Ibadan, Nigeria. International Journal of Energy and Environmental Engineering, 5(4), 375-385.
Akinyele, D. (2017). Techno-economic design and performance analysis of nanogrid systems for households in energy-poor villages. Sustainable Cities and Society, 34, 335-357.
Alzola, J.A., Vechiu, I., Camblong, H., Santos, M., Sall, M., & Sow, G. (2009). Microgrids project, Part 2: Design of an electrification kit with high content of renewable energy sources in Senegal. Renewable Energy, 34(10), 2151-2159.
Anderson, T., Doig, A., Rees, D., & Khennas, S. (1999). Rural energy services: a handbook for sustainable energy development. Intermediate Technology Publications Ltd (ITP).
Barnes, D., & Foley, G. (2004). Rural electrification in the developing world: a summary of lessons from successful programs. Joint UNDP/World Bank Energy Sector Management Assistance Programme (ESMAP), World Bank, Washington, DC.
Bhattacharyya, S. C., & Palit, D. (Eds.). (2014). Mini-grids for rural electrification of developing countries: analysis and case studies from South Asia. Springer.
Bonaccorsi, A., Giannangeli, S., & Rossi, C. (2006). Entry strategies under competing standards: Hybrid business models in the open source software industry. Management Science, 52(7), 1085-1098.
Burmester, D., Rayudu, R., Seah, W., & Akinyele, D. (2017). A review of nanogrid topologies and technologies. Renewable and Sustainable Energy Reviews, 67, 760-775.
Chakraborty, S., & Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
Chen, S.H., & Hsieh, C. H. (2000). Representation, ranking, distance, and similarity of LR type fuzzy number and application. Australian Journal of Intelligent Processing Systems, 6(4), 217-229.
Couture, T., & Gagnon, Y. (2010). An analysis of feed-in tariff remuneration models: Implications for renewable energy investment. Energy policy, 38(2), 955-965.
Ding, J. F. (2011). An integrated fuzzy TOPSIS method for ranking alternatives and its application. Journal of Marine Science and Technology, 19(4), 341-352.
Ding, S. H., & Kamaruddin, S. (2015). Assessment of distance-based multi-attribute group decision-making methods from a maintenance strategy perspective. Journal of Industrial Engineering International, 11(1), 73-85.
Franz, M., Peterschmidt, N., Rohrer, M., & Kondev, B. (2014). Mini-grid Policy Toolkit: Policy and Business Frameworks for Succesful Mini-grid Roll Outs. GIZ.
Ghorabaee, M.K, Amiri, M., Kazimieras Zavadskas, E.K., & Antuchevičienė, J. (2017a). Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66-78.
Ghorabaee, M. K., Amiri, M., Zavadskas, E.K., & Turskis, Z. (2017b). Multi-criteria group decision-making using an extended EDAS method with interval type-2 fuzzy sets.
Ghorabaee, M.K, Zavadskas, E.K., Amiri, M., & Antucheviciene, J. (2016). A new method of assessment based on fuzzy ranking and aggregated weights (AFRAW) for MCDM problems under type-2 fuzzy environment.
GVEP International (2011). Policy brierfing: The history of mini-grid development in developing countries: http://www.energy4impact.org/sites/default/files/policy_briefing_-_mini-grid_final.pdf].
Haralambopoulos, D.A., & Polatidis, H. (2003). Renewable energy projects: structuring a multi-criteria group decision-making framework. Renewable energy, 28(6), 961-973.
Hatziargyriou, N., Asano, H., Iravani, R., & Marnay, C. (2007). Microgrids. IEEE power and energy magazine, 5(4), 78-94.
International Energy Agency (IEA). (2014). Africa energy outlook: A focus on energy prospects in Sub-Saharan Africa.
Ighravwe, D.E., & Oke, S. A. (2017). A multi-hierarchical framework for ranking maintenance sustainability strategies using PROMETHEE and fuzzy entropy methods. Journal of Building Pathology and Rehabilitation, 2(1), 9.
Ighravwe, D.E., & Babatunde, O.M. (2018). Development of multi-criteria models for mini-grid management in developing countries. https://www.researchgate.net/publication/322331397_Data_for_mini-grid_business_model_evaluation
Kahraman, C., Oztayşi, B., Sarı, I. U., & Turanoğlu, E. (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59, 48-57.
Katiraei, F., Iravani, M. R., & Lehn, P. W. (2005). Micro-grid autonomous operation during and subsequent to islanding process. IEEE Transactions on power delivery, 20(1), 248-257.
Kahraman, C., Kaya, I., & Cebi, S. (2009). A comparative analysis for multi-attribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy, 34, 1603-1616.
Kahraman, C., & Kaya, İ. (2010). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37(9), 6270-6281.
Kaya, T., & Kahraman, C. (2011). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577-6585.
Kaya, T., & Kahraman, C. (2010). Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 35(6), 2517-2527.
Kirubi, C., Jacobson, A., Kammen, D. M., & Mills, A. (2009). Community-based electric micro-grids can contribute to rural development: evidence from Kenya. World development, 37(7), 1208-1221.
Knuckles, J. (2016). Business models for mini-grid electricity in base of the pyramid markets. Energy for Sustainable Development, 31, 67-82.
Krause, M., & Nordström, S. (2004). Solar Photovoltaics in Africa: Experiences with financing and delivery models. Global Environment Facility.
Lasseter, R. H. (2002). Microgrids. In Power Engineering Society Winter Meeting, 2002. IEEE (Vol. 1, pp. 305-308). IEEE.
Makori, V.K. (2015). Effective Approaches of Monitoring Results–Based Financing Project (Doctoral dissertation, United States International University-Africa).
Malkawi, S., & Azizi, D. (2017). A multi-criteria optimization analysis for Jordan's energy mix. Energy, 127, 680-696.
Martinot, E., Chaurey, A., Lew, D., Moreira, J. R., & Wamukonya, N. (2002). Renewable energy markets in developing countries. Annual review of energy and the environment, 27(1), 309-348.
Polatidis, A. G., & Conway, J. E. (2003). Proper motions in compact symmetric objects. Publications of the Astronomical Society of Australia, 20(1), 69-74.
Polatidis, H., Haralambopoulos, D. A., Munda, G., & Vreeker, R. (2006). Selecting an appropriate multi-criteria decision analysis technique for renewable energy planning. Energy Sources, Part B, 1(2), 181-193.
Rolland, S. (2011). Rural electrification with renewable energy. Alliance for Rural Electification, Brussels.
San Cristóbal, J. R. (2011). Multi-criteria decision-making in the selection of a renewable energy project in Spain: The Vikor method. Renewable energy, 36(2), 498-502.
Sehgal, R., Mehrotra, D., & Bala, M. (2018). Prioritizing the refactoring need for critical component using combined approach. Decision Science Letters, 7(3), 257-272.
Şengül, Ü, Eren, M., Shiraz, S.E., Gezder, V., & Şengül, A. B. (2015). Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy, 75, 617-625.
Sindhu, S.P., Nehra, V., & Luthra, S. (2016). Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook. Energy, 100, 332-348.
Streimikienė, D., Šliogerienė, J., & Turskis, Z. (2016). Multi-criteria analysis of electricity generation technologies in Lithuania. Renewable Energy, 85, 148-156.
Sun, C.C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745-7754.
Tenenbaum, B., Greacen, C., Siyambalapitiya, T., & Knuckles, J. (2014). From the bottom up: how small power producers and mini-grids can deliver electrification and renewable energy in Africa. World Bank Publications.
Tsoutsos, T., Drandaki, M., Frantzeskaki, N., Iosifidis, E., & Kiosses, I. (2009). Sustainable energy planning by using multi-criteria analysis application in the island of Crete. Energy Policy, 37(5), 1587-1600.
Ulsrud, K., Winther, T., Palit, D., Rohracher, H., & Sandgren, J. (2011). The solar transitions research on solar mini-grids in India: Learning from local cases of innovative socio-technical systems. Energy for Sustainable Development, 15(3), 293-303.
Winiecki, J., Cortiglia, K., Morris, E., & Chowdhary, S. (2008). Sparking Strong Partnerships: Field Tips from Microfinance Institutions and Energy Companies on Partnering To Expand Access to Energy Services. Washington, DC: Small Enterprise Education and Promotion (SEEP) Network and Sustainable Energy Solutions. SEEP Network & Sustainable Energy Solutions.
World Bank (2008). Issues Note of the REToolkit: A Resource for Renewable Energy Development. Washington D.C.: World Bank.
Zavadskas, E.K, Bausys, R., & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923-15936.