A model for improving energy efficiency in industrial motor system using multicriteria analysis

Energy Policy

Volumn 39, Issue 6, 2011, Pages 3645-3654

  Sola, Antonio Vanderley Herrero ^a,b   Mota, Caroline Maria de Miranda ^c   Kovaleski, João Luiz ^a,b  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

^b (UTFPR) Campus Ponta Grossa   (Brazil)

^c FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Energy efficiency; Motor systems; Multicriteria analysis

Indexed keywords

COMPARATIVE ANALYSIS; DECISION MAKERS; EFFICIENT USE OF ENERGY; ENERGY SAVING; INDUSTRIAL MOTOR SYSTEM; MOTOR SYSTEMS; MULTI-CRITERIA DECISION AIDING; MULTI-CRITERIA METHOD; MULTI-CRITERIA MODEL; MULTICRITERIA ANALYSIS; ORGANIZATIONAL BARRIERS; PROMETHEE; RETURN ON INVESTMENTS;

DECISION MAKING; INDUCTION MOTORS; INDUSTRY; INVESTMENTS; PARTIAL DISCHARGES;

ENERGY EFFICIENCY;

DECISION MAKING; ENERGY EFFICIENCY; ENERGY POLICY; INVESTMENT; MULTICRITERIA ANALYSIS;

BRAZIL;

EID: 79955926042     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2011.03.070     Document Type: Article

References (62)

1. A1-Kloub B., A1-Shemmeri T., Pearman A. The role of weights in multi-criteria decision aid, and the ranking of water projects in Jordan. European Journal of Operational Research 1997, 99:278-288.
2. Almeida A.T., Fonseca P., Bertoldi P. Energy-efficient motor systems in the industrial and in the services sectors in the European Union: characterisation, potentials, barriers and policies. Energy 2003, 28:673-690.
3. Anderson S.T., Newell R. Information programs for technology adoption: the case of energy-efficiency audits. Resource and Energy Economics 2004, 26:27-50.
4. Beccali M., Cellura M., Mistretta M. Decision-making in energy planning: application of the ELECTRE method at regional level for the diffusion of renewable energy technology. Renewable Energy 2003, 28:2063-2087.
5. Behzadian M., Kazemzadeh R.B., Albadvi A., Aghdasi M. PROMETHEE: a comprehensive literature review on methodologies and applications. European Journal of Operational Research 2010, 200:198-215.
6. Brans J.P., Mareschal B. PROMETHEE methods. Multiple Criteria Decision Analysis: State of the Art Surveys 2005, 163-196. Springer Science and Business Media, Inc.,, (Chapter 5). J. Figueira, S. Greco, M. Ehrgott (Eds.).
7. Cardoso R.B., Nogueira L.A.H., Bortoni E.C., Haddad J., Souza E.P. Avaliação da economia de energia, atribuída a ações de etiquetagem energética, em motores de indução no Brasil. Revista Brasileira de Energia 2009, 15(1):29-47.
8. Cavallaro F. Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy 2009, 34:1678-1685.
9. DeCanio S.F. The efficiency paradox: bureaucratic and organizational barriers to profitable energy-saving investments. Energy Policy 1998, 26(5):441-454.
10. Diakoulaki D., Karangelis F. Multi-criteria decision analysis and cost-benefit analysis of alternative scenarios for the power generation sector in Greece. Renewable and Sustainable Energy Reviews 2007, 11:716-727.
11. Dias R.A., Mattos C.R., Balestieri J.A.P. Energy education: breaking up the rational energy use barriers. Energy Policy 2004, 32:1339-1347.
12. DOE-U.S. Department of Energy, 2008. Improving motor and drive system performance: a sourcebook for industry. Washington, DC, DOE/GO-102008-2317.
13. Doukas H., Patlitzianas K.D., Psarras J. Supporting sustainable electricity technologies in Greece using MCDM. Resources Policy 2006, 31:129-136.
14. Figueira J., Roy B. Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure. European Journal of Operational Research 2002, 139:317-326.
15. Fuller R., Carlsson C. Fuzzy multiple criteria decision making: recent developments. Fuzzy Sets and Systems 1996, 78:139-153.
16. Garcia, A.G.P., 2003. The Impact of the Energy Efficiency Law on Industrial Electrical Motors' Energy Saving Potential. M.Sc. Thesis in Energy Planning, COPPE/UFRJ, Rio de Janeiro.
17. Garcia A.G.P., Szklo A.S., Schaeffer R., Mcneil M.A. Energy-efficiency standards for electric motors in Brazilian industry. Energy Policy 2007, 35:3424-3439.
18. Geller H., Schaeffer R., Szklo A., Tolmasquim M. Policies for advancing energy efficiency and renewable energy use in Brazil. Energy Policy 2004, 32:1437-1450.
19. Geller H., Harrington P., Rosenfeld A.H., Tanishima S., Unander F. Polices for increasing energy efficiency: thirty years of experience in OECD countries. Energy Policy 2006, 34:556-573.
20. Georgopoulou E., Lalas D., Papagiannakis L. A Multicriteria Decision Aid approach for energy planning problems: the case of renewable energy option. European Journal of Operational Research 1997, 103:38-54.
21. Ghafghazi S., Sowlati T., Sokhansanj S., Melin S. A multicriteria approach to evaluate district heating system options. Applied Energy 2010, 87:1134-1140.
22. Groot H.L.F., Verhoef E.T., Nijkamp P. Energy saving by firms: decision-making, barriers and policies. Energy Economics 2001, 23:717-740.
23. Haralambopoulos D.A., Polatidis H. Renewable energy projects: structuring a multicriteria group decision-making framework. Renewable Energy 2003, 28:961-973.
24. Hyde K., Maier H., Colby C. Incorporating uncertainty in the PROMETHEE MCDA method. Journal of Multi-Criteria Decision Analysis 2003, 12:245-259.
25. Hites R., Smet Y., Risse N., Salazar-Neumann M., Vincke PH. About the applicability of MCDA to some robustness problems. European Journal of Operational Research 2006, 174:322-332.
26. Keeney R.L., Raiffa H. Decisions with Multiple Objectives: Preferences and Value Tradeoffs 1976, John Wiley, New York.
27. Keyser W., Peeters P. A note on the use of PROMETHEE multicriteria methods. European Journal of Operational Research 1996, 89:457-461.
28. Kosow I.L. Electric Machinery and Transformers (Máquinas elétricas e transformadores) 1986, Globo, Rio de Janeiro.
29. Lefley F. The payback method of investment appraisal: a review and synthesis. International Journal of Production Economics 1996, 44:207-224.
30. Loken E. Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews 2007, 11:1584-1595.
31. Lung R.B., Mckane A., Olszewski M. Industrial motor system optimization projects in the US: an impact study. Energy Engineering 2005, 102(1).
32. Mareschal, B., Smet, Y., Nemery, P., 2008. Rank reversal in the PROMETHEE II method: some new results. In: Proceedings of the 2008 IEEE.
33. Marques M.C.S., Haddad J., Martins A.R.S. Conservação de energia (Energy Conservation) 2006, Eletrobrás, Procel Educação, Unifei, Fupai, Itajubá/MG. 3a ed.
34. Mazhar M.I., Kara S., Kaebernick H. Remaining life estimation of used components in consumer products: life cycle data analysis by Weibull and artificial neural networks. Journal of Operations Management 2007, 25:1184-1193.
35. McCoy G.A., Douglass J.G. Energy Management for Motor Driven System 2000, U.S. Department of Energy (DOE), Washington, USA.
36. McKane, A. Price, L., De La Rue Du Can, S., 2007. Policies for promoting industrial energy efficiency in developing countries and transition economies. In: UNIDO-United Nations Industrial Development Organization Side Event on Sustainable Industrial at the CSD-15, Berkeley, CA. Web site: 〈〉. https://www.unido.org/doc/65592.
37. Mecrow B.C., Jack A.G. Efficiency trends in electric machines and drives. Energy Policy 2008, 36:4336-4341.
38. MME-Ministry of Mining and Energy (Brazil), 2005. Portaria Interministerial no 553, de 8 de dezembro de 2005. Establish MEPS for induction electric three-phase motors. Brasilia, DF, D.O.U, seção 1, p. 98, v. 142, no. 237.
39. Mousseau V., Figueira J., Dias L., Silva C.G., Clímaco J. Resolving inconsistencies among constraints on the parameters of an MCDA model. European Journal of Operational Research 2003, 147:72-93.
40. Mohamadabadi H.S., Tichkowsky G., Kumar A. Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles. Energy 2009, 34:112-125.
41. Nagesha N., Balachandra P. Barriers to energy efficiency in small industry clusters: multi-criteria-based prioritization using the analytic hierarchy process. Energy 2006, 31:1969-1983.
42. NEMA-National Electrical Manufacturers Association Standards Publication no. MG10 2001: Energy Management Guide for Selection and Use of Induction Motors 2001, NEMA, Rosslyn/VA, EUA.
43. NEMA-National Electrical Manufacturers Association Information Guide for General Purpose Industrial AC Induction Motor Standards 2002, NEMA, Rosslyn/VA, EUA.
44. Oikonomou V., Becchis F., Steg L., Russolillo D. Energy saving and energy efficiency concepts for policy making. Energy Policy 2009, 37:4787-4796.
45. Pohekar S.D., Ramachandran M. Application of multi-criteria decision making to sustainable energy planning-review. Renewable and Sustainable Energy Reviews 2004, 8:365-381.
46. Rohdin P., Thollander P. Barriers to and driving forces for energy efficiency in the non-energy intensive manufacturing industry in Sweden. Energy 2006, 31:1836-1844.
47. Roy B. Multicriteria Methodology for Decision Analysis 1996, Kluwer Academic Publishers.
48. Russel C. Strategic industrial energy efficiency: reduce expenses, build revenues, and control risk. Energy Engineering 2005, 102(3):7-27.
49. Saaty T. The Analytical Hierarchy Process 1994, Wiley, New York.
50. Sola A.V.H., Xavier A.A.P. Organizational human factors as barriers to energy efficiency in electrical motors systems in industry. Energy Policy 2007, 35(11):5784-5794.
51. Tonn B., Martin M. Industrial energy efficiency decision making. Energy Policy 2000, 28:831-843.
52. Tsoukiàs A. From decision theory to decision aiding methodology. European Journal of Operational Research 2008, 187:138-161.
53. Tsoutsos T., Drandaki M., Frantzeskaki N., Iosifidis E., Kiosses I. Sustainable energy planning by using multi-criteria analysis application in the Island of Crete. Energy Policy 2009, 37:1587-1600.
54. Vincke Ph. Multicriteria Decision-Aid 1992, John Wiley, New York.
55. Wang G.H., Wang Y.X., Zhao T. Analysis of interactions among the barriers to energy saving in China. Energy Policy 2008, 36:1879-1889.
56. Wang J.J., Jing Y.Y., Zhang C.F., Zhao J.H. Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews 2009, 13:2263-2278.
57. Weber L. Viewpoint: some reflections on barriers to the efficient use of energy. Energy Policy 1997, 25(10):833-835.
58. WEG-Electric Equipmments S.A., 2009. Electric motors. Web site: 〈〉, December. http://www.weg.net.
59. Wolters W.T.M., Mareschal B. Novel types of sensitivity analysis for additive MCDM methods. European Journal of Operational Research 1995, 81:281-290.
60. Yang M. Energy efficiency improving opportunities in a large Chinese shoe-making enterprise. Energy Policy 2010, 38:452-462.
61. Yanti P.A.A., Mahlia T.M.I. Considerations for the selection of an applicable energy efficiency test procedure for electric motors in Malaysia: lessons for other developing countries. Energy Policy 2009, 37:3467-3474.
62. Zhou P., Ang B.W., Poh K.L. Decision analysis in energy and environmental modeling: an update. Energy 2006, 31:2604-2622.