Multiple Criteria Analysis for Energy Storage Selection

DOI: 10.4236/epe.2011.34069   PDF   HTML     5,812 Downloads   9,901 Views   Citations


In view of the current and predictable energy shortage and environmental concerns, the exploitation of renewable energy sources offers great potential to meet increasing energy demands and to decrease depend- ence on fossil fuels. However, introducing these sources will be more attractive provided they operate in conjunction with energy storage systems (ESS). Furthermore, effective energy storage management is essential to achieve a balance between power quality, efficiency, costs and environmental constraints. This paper presents a method based on the analytic hierarchy process and fuzzy multi-rules and multi-sets. By exploiting a multiple criteria analysis, the proposed methods evaluate the operation of storage energy systems such as: pumped hydro and compressed air energy storage, H2, flywheel, super-capacitors and lithium-ion storage as well as NaS advanced batteries and VRB flow battery. The main objective of the study is to find the most appropriate ESS consistent with a power quality priority. Several parameters are used for the investigation: efficiency, load management, technical maturity, costs, environmental impact and power quality.

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A. Barin, L. Canha, A. Abaide, K. Magnago, B. Wottrich and R. Machado, "Multiple Criteria Analysis for Energy Storage Selection," Energy and Power Engineering, Vol. 3 No. 4, 2011, pp. 557-564. doi: 10.4236/epe.2011.34069.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] National Regulatory Agency of Electrical Energy, ANEEL—Incentive Program for Alternative Sources of Energy, Law 10.438/2002.
[2] A. Farret and M. G. Simoes, “Integration of Alternative Sources of Energy,” John Wiley & Sons, Hoboken, 2006.
[3] E. L?ken, “Use of Multicriteria Decision Analysis Methods for Energy Planning Problems,” Renewable and Sustainable Energy Reviews, Vol. 11, No. 7, 2007, pp. 1584- 1595. doi:10.1016/j.rser.2005.11.005
[4] C. Zopounidis and M. Doumpos, “Multicriteria Classification and Sorting Methods: A Literature Review,” European Journal of Operational Research, Vol. 138, No. 2, 2002, pp. 229-246. doi:10.1016/S0377-2217(01)00243-0
[5] M. Beccali, M. Cellura and M. Mistretta, “Decision-Making in Energy Planning-Application of the ELECTRE Method at Regional Level for the Diffusion of Renewable Energy Technology,” Renewable Energy, Vol. 28, No. 13, 2003, pp. 2063-2087. doi:10.1016/S0960-1481(03)00102-2
[6] M. Behzadian, R. B. Kazemzadeh, A. Albadvi and M. Aghdasi, “PROMETHEE: A Comprehensive Literature Review on Methodologies and Applications,” European Journal of Operational Research, Vol. 200, No. 1, 2010, pp. 198-215. doi:10.1016/j.ejor.2009.01.021
[7] F. Montignac, I. Noirot and S. Chaudourne, “Multi-Criteria Evaluation of on-Board Hydrogen Storage Technologies Using the MACBETH Approach,” International Journal of Hydrogen Energy, Vol. 34, No. 10, 2009, pp. 4561-4568. doi:10.1016/j.ijhydene.2008.09.098
[8] B. A. Akash, R. Mamlook and M. S. Mohsen, “Multi-Criteria Selection of Electric Power Plants Using Analytical Hierarchy Process,” Electrical Power System Research, Vol. 52, No. 1, 1999, pp. 29-35. doi:10.1016/S0378-7796(99)00004-8
[9] I. J. Ramírez-Rosado and J. A. Domínguez-Navarro, “Possibilistic Model Based on Fuzzy Sets for the Multiobjective Optimal Planning of Electric Power Distribution Networks,” IEEE Transactions on Power System, Vol. 19, No. 4, 2004, pp. 1801-1810. doi:10.1109/TPWRS.2004.835678
[10] W. Clark and W. Isherwood, “Distributed Generation; Remote Power Systems with Advanced Storage Technologies,” Energy Policy, Vol. 32, No. 14, 2004, pp. 1573-1589. doi:10.1016/S0301-4215(03)00017-X
[11] The Electricity Storage Association, Technology Com- parisons, Electricity Storage Association, 2003.
[12] A. Gonzalez, B. Gallachóir, E. McKeogh and K. Lynch, “Study of Electricity Storage Technologies and Their Po- tential to Address Wind Energy Inter. in Ireland,” Report, 2004.
[13] T. L. Saaty, “The Analytic Hierarchy Process,” McGraw- Hill, New York, 1980.
[14] A. Bana e Costa and J. Vansnick, “A Critical Analysis of the Eigenvalue Method Used to Derive Priorities in AHP,” European Journal of Operational Research, Vol. 187, No. 1, 2008, pp. 1422-1428. doi:10.1016/j.ejor.2006.09.022
[15] L. A. Zadeh, “Fuzzy Logic,” University of California, Berkeley, 1988.
[16] W. Pedrycz, F. Gomide, “An Introduction to Fuzzy Sets: Analysis and Design,” The MIT Press, Cambridge, 1998.
[17] W. Siler and J. Buckley, “Fuzzy Expert Systems and Fuzzy Reasoning,” John Wiley & Sons, Hoboken, 2005.
[18] H. Zimmermann, “Fuzzy Set Theory and Its Applica- tions,” Springer, Berlin, 2001. doi:10.1007/978-94-010-0646-0
[19] L.-X. Wang, “Adaptive Fuzzy Systems and Control: Design and Stability Analysis,” Prentice Hall, Upper Saddle River, 1993.
[20] L. C. Barros and R. C. Bassanezi, “Tópicos de Lógica Fuzzy e Biomatemática,” Unicamp-Imecc, Campinas, 2006.

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