Multi-criteria analysis for the selection of space heating systems in an industrial building

Energy

Volumn 36, Issue 1, 2011, Pages 556-565

  Chinese, Damiana ^a   Nardin, Gioacchino ^a   Saro, Onorio ^a  

^a UNIVERSITY OF UDINE   (Italy)

Author keywords

Analytic Hierarchy Process; Energy management; Energy system choices; Industrial space heating systems

Indexed keywords

ANALYTIC HIERARCHY PROCESS; DECISION MAKING; ENERGY MANAGEMENT; HEATING EQUIPMENT; HIERARCHICAL SYSTEMS; INDUSTRIAL HEATING; INVESTMENTS; OFFICE BUILDINGS; OPTIMIZATION; SPACE HEATING;

BUILDING LEVELS; DECISION MAKERS; ECONOMIC OPTIMIZATION; ENERGY PLANNING; ENERGY SYSTEM CHOICES; HEATING SYSTEM; INDUSTRIAL BUILDINGS; INDUSTRIAL CONTEXT; INDUSTRIAL ENERGY SYSTEM; INDUSTRIAL SPACE HEATING SYSTEMS; INVESTMENT COSTS; LIFECYCLE COSTS; MULTI CRITERIA ANALYSIS; MULTI-CRITERIA APPROACH; MULTI-CRITERIA DECISION ANALYSIS; OPERATIONAL COSTS; QUALITATIVE ATTRIBUTES; RANKING OF ALTERNATIVES; RESIDENTIAL HEATING;

INDUSTRY;

ANALYTICAL HIERARCHY PROCESS; ARCHITECTURAL DESIGN; COST-BENEFIT ANALYSIS; DECISION MAKING; ENERGY PLANNING; HEATING; INVESTMENT; LIFE CYCLE ANALYSIS; MULTICRITERIA ANALYSIS; NUMERICAL MODEL; OPTIMIZATION;

EID: 78650748569     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2010.10.005     Document Type: Article

References (51)

1. Schnitzer H., Brunner Ch., Gwehenberger G. Minimizing greenhouse gas emissions through the application of solar thermal energy in industrial processes. Journal of Cleaner Production 2007, 15(13-14):1271-1286.
2. Gustafsson S.I. Optimisation of insulation measures on existing buildings. Energy and Buildings 2000, 33(1):49-55.
3. Hasan A., Vuolle M., Sirén K. Minimisation of life cycle cost of a detached house using combined simulation and optimization. Building and Environment 2008, 43(12):2022-2034.
4. Buchholz T., Rametsteiner E., Volk T.A., Luzadis V.A. Multi criteria analysis for bioenergy systems assessments. Energy Policy 2009, 37(2):484-495.
5. Mulligan J., Barber P. The client consultant relationship. Management consultancy: a handbook for best practice 2001, 83-102. Kogan Page, London. P. Sadler (Ed.).
6. Bejan A., Tsatsaronis G., Moran M. Thermal design and optimization 1996, Wiley, New York.
7. Bojic M., Lukic N., Trnobransky K. Linear programming applied to an industrial building with several available hot refuse flows. Energy 1995, 20(10):1067-1074.
8. Heidari Tari M., Söderström M. Modelling of thermal energy storage in industrial energy systems the method development of MIND. Applied Thermal Engineering 2002, 22(11):1195-1205.
9. Chinese D., Meneghetti A. Optimisation models for decision support in the development of biomass-based industrial district-heating networks in Italy. Applied Energy 2005, 82(3):228-254.
10. Malckzewski J. GIS and Multicriteria Decision Analysis 1999, Wiley, New York.
11. Løken E. Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews 2007, 11(7):1584-1595.
12. Hobbs B.F., Meier P. Energy decisions and the environment: a guide to the use of multicriteria methods 2000, Kluwer, Norwell.
13. Diakaki Ch., Grigoroudis E., Kolokotsa D. Towards a multi-objective optimization approach for improving energy efficiency in buildings. Energy and Buildings 2008, 40(9):1747-1754.
14. Wright J.A., Loosemore H.A., Farmani R. Optimization of building thermal design and control by multi-criterion genetic algorithm. Energy and Buildings 2002, 34(9):959-972.
15. Roy B. Multicriteria methodology for decision aiding 1996, Kluwer, Norwell.
16. Thiel T., Mroz T. Application of Multi-Criterion Decision Aid method in designing heating systems for museum buildings. Informatica 2001, 12(1):133-146.
17. Kaklauskas A., Zavadskas E.K., Raslanas S. Multivariant design and multiple criteria analysis of building refurbishments. Energy and Buildings 2005, 37(4):361-372.
18. Kaklauskas A., Zavadskas E.K., Raslanas S., Ginevicius R., Komka A., Malinauskas P. Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energy and Buildings 2006, 38(5):454-462.
19. Jaber J.O., Jaber Q.M., Sawalha S.A., Mohsen M.S. Evaluation of conventional and renewable energy sources for space heating in the household sector. Renewable and Sustainable Energy Reviews 2008, 12(1):278-289.
20. Alanne K., Salo A., Saari A., Gustafsson S.I. Multicriteria evaluation of residential energy supply systems. Energy and Buildings 2007, 39(12):1218-1226.
21. Saaty T.L. Fundamentals of decision making and priority theory with the Analytic Hierarchy Process 2001, RWS Publications, Pittsburgh.
22. Zadeh L.A. Fuzzy sets. Information and Control 1965, 8:338-353.
23. Salo A.A., Hämäläinen R.P. Preference assessment by imprecise ratio statements. Operations Research 1992, 40(6):1053-1061.
24. Nagesha N., Balachandra P. Barriers to energy efficiency in small industry clusters: multi-criteria-based prioritization using the analytic hierarchy process. Energy 2006, 31(12):1969-1983.
25. Hübner R., Günther H. Using AHP for strategic production site assessment: a case study from specialty chemicals industry. Management Logistischer Netzwerke 2007, 3-22. Physica-Verlag, Heidelberg. H. Günther, D.C. Mattfeld, L. Suhl (Eds.).
26. Pohekar S.D., Ramachandran M. Application of multi-criteria decision making to sustainable energy planning - a review. Renewable and Sustainable Energy Reviews 2004, 8(4):365-381.
27. Kaya T., Kahraman C. Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: the case of Istanbul. Energy 2010, 35(6):2517-2527. 7th International Conference on Sustainable Energy Technologies, 7th International Conference on Sustainable Energy Technologies, June 2010.
28. Jiang-Jiang W., You-Yin J., Chun-Fa Z., Xu-Tao Z., Guo-Hua S. Integrated evaluation of distributed triple-generation systems using improved grey incidence approach. Energy 2008, 33(9):1427-1437.
29. Ramanathan R., Ganesh L.S. Energy alternatives for lighting in households: an evaluation using an integrated goal programming-AHP model. Energy 1995, 20(1):63-72.
30. Fraccaro S.r.l Product information, radiant modules [accessed 19.02.10]. http://www.fraccaro.it/Depliant/GIRAD/girad_en.pdf.
31. University of Illinois and the Ernest Orlando Lawrence Berkeley National Laboratory, Energy Simulation Software [accessed 19.02.10]. http://apps1.eere.energy.%20gov/buildings/energyplus/pdfs/engineeringreference.pdf.
32. CarliEuklima Product technical documentation for radiant heating systems [accessed 19.02.10]. http://www.carlieuklima.com/Calor/Eurad/Documentation/documentation.php.
33. Doninelli M. Radiant floor heating systems (in Italian) available at:, [accessed 19.02.10]. http://www.caleffi.us/it_IT/caleffi/Details/Handbooks/pdf/quaderno_4_it.pdf.
34. Saaty T.L., Ozdemir M.S. Why the magic number seven plus or minus two. Mathematical and Computer Modelling 2003, 38(3-4):233-244.
35. Hens H.S.L.C. Thermal comfort in office buildings: two case studies commented. Building and Environment 2009, 44(7):1399-1408.
36. Pfafferott J.Ü., Herkel S., Kalz D.E., Zeuschner A. Comparison of low-energy office buildings in summer using different thermal comfort criteria. Energy and Buildings 2007, 39(7):750-757.
37. Saleh J.H., Marais K. Highlights from the early (and pre-) history of reliability engineering. Reliability Engineering & System Safety 2006, 91(2):249-256.
38. Kwak R., Takakusagi A., Sohn J., Fujii S., Park B. Development of an optimal preventive maintenance model based on the reliability assessment for air-conditioning facilities in office buildings. Building and Environment 2004, 39(10):1141-1156.
39. Myrefelt S. The reliability and availability of heating, ventilation and air conditioning systems. Energy and Buildings 2004, 36(10):1035-1048.
40. Kirwan B. A guide to practical human reliability assessment 1994, Taylor & Francis, London.
41. Park K.S., Lee J. A new method for estimating human error probabilities: AHP-SLIM. Reliability Engineering & System Safety 2008, 93(4):578-587.
42. Creative Decisions Foundation Super decisions software available at:, [accessed 19.02.10]. http://www.superdecisions.com/indextables.php3.
43. Söderberg M. A choice modelling analysis on the similarity between distribution utilities' and industrial customers' price and quality preferences. Energy Economics 2008, 30(3):1246-1262.
44. Bonilla D., Akisawa A., Kashiwagi T. Modelling the adoption of industrial cogeneration in Japan using manufacturing plant survey data. Energy Policy 2003, 31(9):895-910.
45. Rivers N., Jaccard M. Useful models for simulating policies to induce technological change. Energy Policy 2006, 34(15):2038-2047.
46. Newnan D.G., Lavelle J.P., Eschenbach T.G. Engineering economic analysis 2002, Oxford University, New York.
47. Saaty R.W. Decision making in complex environments, the Analytic Hierarchy Process (AHP) for decision making and the Analytic Network Process (ANP) for decision making with dependence and feedback, super decisions tutorial 2003, available at:, [accessed 19.02.10]. http://www.superdecisions.com/Tutorial2003.doc.
48. Sadler M. Home energy preferences & policy: applying stated choice modelling to a hybrid energy economy model. Research project no. 342, School of Resource and Environmental Management, Simon Fraser University, Burnaby 2003, available at:, [accessed 19.02.10]. http://ir.lib.sfu.ca/bitstream/1892/9850/1/b31855751.pdf.
49. Mahapatra K., Gustavsson L. An adopter-centric approach to analyze the diffusion patterns of innovative residential heating systems in Sweden. Energy Policy 2008, 36(2):577-590.
50. Meißner M., Decker R. An empirical comparison of CBC and AHP for measuring consumer preferences, on line proceedings of the ISAHP 2009 symposium, July 29-August 1, 2009, Pittsburgh, Pennsylvania, USA available at:, [accessed 19.02.10]. http://www.isahp.org/2009Proceedings/FinalPapers/49%20MeissnerDecker%20Compa%20risonCBCandAHP%20ConsumerPreferences%20REV%20FIN.pdf.
51. Helm R., Steiner M., Scholl A., Manthey L. A comparative empirical study on common methods for measuring preferences, Jenaer Schriften zur Wirtschaftwissenschaft 20/2004, Friedrich-Schiller-Universität Jena [accessed 2/19/2010]. http://www.wiwi.uni-jena.de/Papers/wp-sw2004.pdf.