How to cite this paper
Ighravwe, D. (2019). Techno-economic assessment of small-scale renewable energy storage technologies.Decision Science Letters , 8(3), 363-372.
Refrences
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.
Anand, G. & Kodali, R. (2008). Selection of lean manufacturing systems using the PROMETHEE. Journal of Modelling in Management, 3(1), 40-70.
Baker, J. (2008). New technology and possible advances in energy storage. Energy Policy, 36, 4368-4373.
Bagheria, M., Shojaei, P. & Khorami, M.T. (2018). A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS. Decision Science Letters. 7, 87-102.
Bottani, E. (2009). A fuzzy QFD approach to achieve agility. International Journal of Production Economics, 119, 380-391.
Chen, L.H. and Weng, M.C. (2006). An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research, 172(1), 230-248.
Denholm, P. & Sioshansi, R. (2009). The value of compressed air energy storage with wind in transmission-constrained electric power systems. Energy Policy, 37, 3149-3158.
Divya, K.C. & Ostergaard, J. (2009). Battery energy storage technology for power systems-An overview. Electric Power Systems Research, 79, 511-520.
Ekman, C.K. & Jensen, S.H. (2010). Prospects for large scale electricity storage in Denmark. Energy Conversion and Management, 51(6), 1140-1147.
Garimella, N. & Nair, N.K.C. (2009). Assessment of battery energy storage systems for small-scale renewable energy integration. In IEEE TENCON 2009-2009 IEEE Region 10 Conference (pp. 1-6). IEEE
Hadjipaschalis, I., Poullikkas, A. & Efthimiou, V. (2009). Overview of current and future energy storage technologies for electric power applications. Renewable and Sustainable Energy Reviews, 13, 1513-1522.
Ighravwe, D.E., & Babatunde, M.O. (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.
Janaki, D., Izadbakhsh, H., & Hatefi, S. (2018). The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique. Management Science Letters, 8(8), 835-848.
Kaldellis, J.K., Zafirakis, D. & Kavadias, K. (2009). Techno-economic comparison of energy storage systems for island autonomous electrical networks. Renewable and Sustainable Energy Reviews, 13(2), 378-392.
Khandan, M., Vosoughi, S., Azrah, K., Poursadeghiyan, M., & Khammar, A. (2017). Decision making models and human factors: TOPSIS and ergonomic behaviors (TOPSIS-EB). Management Science Letters, 7(2), 111-118.
Koohi-Kamali, S., Tyagi, V.V. Rahim, N.A. Panwar, N.L. & Mokhlis, H. (2013). Emergence of energy storage technologies as the solution for reliable operation of smart power systems: A review. Renewable Sustainable Energy Review, 25, 135-165.
Kumaraswamy, A.H., Bhattacharya, A., Kumar, V. and Brady, M. (2011, September). An integrated QFD-TOPSIS methodology for supplier selection in SMEs. In Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on (pp. 271-276). IEEE.
Li, M., Jin, L. & Wang, J. (2014). A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user's perspective in intuitionistic fuzzy environment. Applied soft computing, 21, 28-37.
Macharis, C., Springael, J., De Brucker, K. & Verbeke, A. (2004). PROMETHEE and AHP: The design of operational synergies in multi-criteria analysis: Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153(2), 307-317.
Maharjan, L., Inoue, S. Akagi, H. & Asakura, J. (2009). State-of-charge (SOC)-balancing control of a battery energy storage system based on a cascade PWM converter. IEEE Transactions Power Electronics, 24(6), 1628-1636.
Mardani, A., Zavadskas, E.K., Streimikiene, D., Jusoh, A., Nor, K.M. & Khoshnoudi, M., (2016). Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework. Energy, 117, 131-148.
Nair, N-K.C. & Garimella, N. (2010). Battery energy storage systems: Assessment for small-scale renewable energy integration. Energy and Buildings, 42, 2124-2130.
Raissi, S, Izadi, M. & Saati, S. (2012). Prioritizing engineering characteristic in QFD using fuzzy common set of weight. American Journal of Scientific Research, 49, 34-49.
Roghanian, E. & Alipour, M. (2014). A fuzzy model for achieving lean attributes for competitive advantages development using AHP-QFD-PROMETHEE. Journal of Industrial Engineering International, 10(3), 68.
Sebastian, R. (2013). Reverse power management in a wind diesel system with a battery energy storage. Electric Power Energy System, 44(1), 160-167.
Shamai, A. & Mousavand, J. (2011). Classification of cities of Isfahan province in view point of tourism infrastructure by using TOPSIS and AHP models. Urban- Regional Studies and Research Journal, 3(10), 23-40.
Shively, D., Gardner, J. Haynes, T. and Ferguson, J. (2008). Energy Storage Methods for Renewable Energy Integration and Grid Support. In IEEE Energy 2030 Conference, ENERGY, (pp. 1-6).
Singh, M., Lopes, L.A.C. & Ninad, N.A. (2015). Grid forming Battery Energy Storage System (BESS) for a highly unbalanced hybrid mini-grid. Electric Power Systems Research, 127, 126-133.
Sioshansi, R., Denholm, P., Jenkin, T. & Weiss, J. (2009). Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects. Energy Economics, 31, 269-277.
Smith, S.C., Sen, P.K. & Kroposki, B. (2008). Advancement of energy storage devices and applications in electrical power system. In IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008, (pp. 1-8).
Sun, Q. & Ouyang, J. (2015). Hesitant fuzzy multi-attribute decision making based on TOPSIS with entropy-weighted method. Management Science and Engineering, 9(3), 1-6.
Tlig, H., & Rebai, A. (2017). A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports. Management Science Letters, 7(7), 351-358.
Walawalkar, R., Apt, J. & Mancini, R. (2007). Economics of electric energy storage for energy arbitrage and regulation in New York. Energy Policy, 35, 2558-2568.
Wang, Y.M.. & Chin, K.S. (2011). Technical importance ratings in fuzzy QFD by integrating fuzzy normalisation and fuzzy weighted average. Computer Math Applications, 62, 4207-4221.
Yıldırım, B., & Önder, E. (2014). Evaluating potential freight villages in Istanbul using multi criteria decision making techniques.
Zogg, R., Lawrence, T., Ofer, D. & Brodrick, J. (2007). Distributed energy storage. ASHRAE Journal, 49, 90.
Anand, G. & Kodali, R. (2008). Selection of lean manufacturing systems using the PROMETHEE. Journal of Modelling in Management, 3(1), 40-70.
Baker, J. (2008). New technology and possible advances in energy storage. Energy Policy, 36, 4368-4373.
Bagheria, M., Shojaei, P. & Khorami, M.T. (2018). A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS. Decision Science Letters. 7, 87-102.
Bottani, E. (2009). A fuzzy QFD approach to achieve agility. International Journal of Production Economics, 119, 380-391.
Chen, L.H. and Weng, M.C. (2006). An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research, 172(1), 230-248.
Denholm, P. & Sioshansi, R. (2009). The value of compressed air energy storage with wind in transmission-constrained electric power systems. Energy Policy, 37, 3149-3158.
Divya, K.C. & Ostergaard, J. (2009). Battery energy storage technology for power systems-An overview. Electric Power Systems Research, 79, 511-520.
Ekman, C.K. & Jensen, S.H. (2010). Prospects for large scale electricity storage in Denmark. Energy Conversion and Management, 51(6), 1140-1147.
Garimella, N. & Nair, N.K.C. (2009). Assessment of battery energy storage systems for small-scale renewable energy integration. In IEEE TENCON 2009-2009 IEEE Region 10 Conference (pp. 1-6). IEEE
Hadjipaschalis, I., Poullikkas, A. & Efthimiou, V. (2009). Overview of current and future energy storage technologies for electric power applications. Renewable and Sustainable Energy Reviews, 13, 1513-1522.
Ighravwe, D.E., & Babatunde, M.O. (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.
Janaki, D., Izadbakhsh, H., & Hatefi, S. (2018). The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique. Management Science Letters, 8(8), 835-848.
Kaldellis, J.K., Zafirakis, D. & Kavadias, K. (2009). Techno-economic comparison of energy storage systems for island autonomous electrical networks. Renewable and Sustainable Energy Reviews, 13(2), 378-392.
Khandan, M., Vosoughi, S., Azrah, K., Poursadeghiyan, M., & Khammar, A. (2017). Decision making models and human factors: TOPSIS and ergonomic behaviors (TOPSIS-EB). Management Science Letters, 7(2), 111-118.
Koohi-Kamali, S., Tyagi, V.V. Rahim, N.A. Panwar, N.L. & Mokhlis, H. (2013). Emergence of energy storage technologies as the solution for reliable operation of smart power systems: A review. Renewable Sustainable Energy Review, 25, 135-165.
Kumaraswamy, A.H., Bhattacharya, A., Kumar, V. and Brady, M. (2011, September). An integrated QFD-TOPSIS methodology for supplier selection in SMEs. In Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on (pp. 271-276). IEEE.
Li, M., Jin, L. & Wang, J. (2014). A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user's perspective in intuitionistic fuzzy environment. Applied soft computing, 21, 28-37.
Macharis, C., Springael, J., De Brucker, K. & Verbeke, A. (2004). PROMETHEE and AHP: The design of operational synergies in multi-criteria analysis: Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153(2), 307-317.
Maharjan, L., Inoue, S. Akagi, H. & Asakura, J. (2009). State-of-charge (SOC)-balancing control of a battery energy storage system based on a cascade PWM converter. IEEE Transactions Power Electronics, 24(6), 1628-1636.
Mardani, A., Zavadskas, E.K., Streimikiene, D., Jusoh, A., Nor, K.M. & Khoshnoudi, M., (2016). Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework. Energy, 117, 131-148.
Nair, N-K.C. & Garimella, N. (2010). Battery energy storage systems: Assessment for small-scale renewable energy integration. Energy and Buildings, 42, 2124-2130.
Raissi, S, Izadi, M. & Saati, S. (2012). Prioritizing engineering characteristic in QFD using fuzzy common set of weight. American Journal of Scientific Research, 49, 34-49.
Roghanian, E. & Alipour, M. (2014). A fuzzy model for achieving lean attributes for competitive advantages development using AHP-QFD-PROMETHEE. Journal of Industrial Engineering International, 10(3), 68.
Sebastian, R. (2013). Reverse power management in a wind diesel system with a battery energy storage. Electric Power Energy System, 44(1), 160-167.
Shamai, A. & Mousavand, J. (2011). Classification of cities of Isfahan province in view point of tourism infrastructure by using TOPSIS and AHP models. Urban- Regional Studies and Research Journal, 3(10), 23-40.
Shively, D., Gardner, J. Haynes, T. and Ferguson, J. (2008). Energy Storage Methods for Renewable Energy Integration and Grid Support. In IEEE Energy 2030 Conference, ENERGY, (pp. 1-6).
Singh, M., Lopes, L.A.C. & Ninad, N.A. (2015). Grid forming Battery Energy Storage System (BESS) for a highly unbalanced hybrid mini-grid. Electric Power Systems Research, 127, 126-133.
Sioshansi, R., Denholm, P., Jenkin, T. & Weiss, J. (2009). Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects. Energy Economics, 31, 269-277.
Smith, S.C., Sen, P.K. & Kroposki, B. (2008). Advancement of energy storage devices and applications in electrical power system. In IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008, (pp. 1-8).
Sun, Q. & Ouyang, J. (2015). Hesitant fuzzy multi-attribute decision making based on TOPSIS with entropy-weighted method. Management Science and Engineering, 9(3), 1-6.
Tlig, H., & Rebai, A. (2017). A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports. Management Science Letters, 7(7), 351-358.
Walawalkar, R., Apt, J. & Mancini, R. (2007). Economics of electric energy storage for energy arbitrage and regulation in New York. Energy Policy, 35, 2558-2568.
Wang, Y.M.. & Chin, K.S. (2011). Technical importance ratings in fuzzy QFD by integrating fuzzy normalisation and fuzzy weighted average. Computer Math Applications, 62, 4207-4221.
Yıldırım, B., & Önder, E. (2014). Evaluating potential freight villages in Istanbul using multi criteria decision making techniques.
Zogg, R., Lawrence, T., Ofer, D. & Brodrick, J. (2007). Distributed energy storage. ASHRAE Journal, 49, 90.