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Volumn 139, Issue , 2015, Pages 131-150

A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies

Author keywords

Building energy efficiency; Energy efficiency measures; Multi objective optimization

Indexed keywords


EID: 84914145955     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.11.023     Document Type: Article
Times cited : (100)

References (40)
  • 1
    • 44449098755 scopus 로고    scopus 로고
    • Towards a multi-objective optimization approach for improving energy efficiency in buildings
    • Diakaki C., Grigoroudis E., Kolokotsa D. Towards a multi-objective optimization approach for improving energy efficiency in buildings. Energy Build 2008, 40(9):1747-1754.
    • (2008) Energy Build , vol.40 , Issue.9 , pp. 1747-1754
    • Diakaki, C.1    Grigoroudis, E.2    Kolokotsa, D.3
  • 2
    • 84859726161 scopus 로고    scopus 로고
    • Improving the energy efficiency of buildings: the impact of environmental policy on technological innovation
    • Noailly J. Improving the energy efficiency of buildings: the impact of environmental policy on technological innovation. Energy Econ 2012, 34(3):795-806.
    • (2012) Energy Econ , vol.34 , Issue.3 , pp. 795-806
    • Noailly, J.1
  • 3
    • 84914157221 scopus 로고    scopus 로고
    • Directive 2002/91/EC of the European parliament and of the council. European Commission
    • Directive 2002/91/EC of the European parliament and of the council. European Commission; 2002.
    • (2002)
  • 4
    • 84914157220 scopus 로고    scopus 로고
    • Directive 2010/31/EU of the European parliament and of the council. European Union
    • Directive 2010/31/EU of the European parliament and of the council. European Union; 2010.
    • (2010)
  • 6
    • 24744433957 scopus 로고    scopus 로고
    • Benchmarking the energy efficiency of commercial buildings
    • Chung W., Hui Y.V., Lam Y.M. Benchmarking the energy efficiency of commercial buildings. Appl Energy 2006, 83(1):1-14.
    • (2006) Appl Energy , vol.83 , Issue.1 , pp. 1-14
    • Chung, W.1    Hui, Y.V.2    Lam, Y.M.3
  • 7
    • 84870618743 scopus 로고    scopus 로고
    • Quantitative energy performance assessment methods for existing buildings
    • Wang S., Yan C., Xiao F. Quantitative energy performance assessment methods for existing buildings. Energy Build 2012, 55(December):873-888.
    • (2012) Energy Build , vol.55 , Issue.DECEMBER , pp. 873-888
    • Wang, S.1    Yan, C.2    Xiao, F.3
  • 8
    • 84862327947 scopus 로고    scopus 로고
    • A method for assessing buildings' energy efficiency by dynamic simulation and experimental activity
    • Pisello A.L., Goretti M., Cotana F. A method for assessing buildings' energy efficiency by dynamic simulation and experimental activity. Appl Energy 2012, 97(September):419-429.
    • (2012) Appl Energy , vol.97 , Issue.SEPTEMBER , pp. 419-429
    • Pisello, A.L.1    Goretti, M.2    Cotana, F.3
  • 9
    • 84892506670 scopus 로고    scopus 로고
    • A framework to characterize energy efficiency measures
    • Trianni A., Cagno E., De Donatis A. A framework to characterize energy efficiency measures. Appl Energy 2014, 118(April):207-220.
    • (2014) Appl Energy , vol.118 , Issue.APRIL , pp. 207-220
    • Trianni, A.1    Cagno, E.2    De Donatis, A.3
  • 11
    • 84874897710 scopus 로고    scopus 로고
    • A review of computational optimisation methods applied to sustainable building design
    • Evins R. A review of computational optimisation methods applied to sustainable building design. Renew Sustain Energy Rev 2013, 22(June):230-245.
    • (2013) Renew Sustain Energy Rev , vol.22 , Issue.JUNE , pp. 230-245
    • Evins, R.1
  • 12
    • 84884193877 scopus 로고    scopus 로고
    • A review on simulation-based optimization methods applied to building performance analysis
    • Nguyen A.-T., Reiter S., Rigo P. A review on simulation-based optimization methods applied to building performance analysis. Appl Energy 2014, 113(January):1043-1058.
    • (2014) Appl Energy , vol.113 , Issue.JANUARY , pp. 1043-1058
    • Nguyen, A.-T.1    Reiter, S.2    Rigo, P.3
  • 13
    • 0037400351 scopus 로고    scopus 로고
    • Energy planning in buildings under uncertainty in fuel costs: the case of a hotel unit in Greece
    • Mavrotas G., Demertzis H., Meintani a., Diakoulaki D. Energy planning in buildings under uncertainty in fuel costs: the case of a hotel unit in Greece. Energy Convers Manage 2003, 44(8):1303-1321.
    • (2003) Energy Convers Manage , vol.44 , Issue.8 , pp. 1303-1321
    • Mavrotas, G.1    Demertzis, H.2    Meintani, A.3    Diakoulaki, D.4
  • 14
    • 21844476429 scopus 로고    scopus 로고
    • Applying multi-objective genetic algorithms in green building design optimization
    • Wang W., Zmeureanu R., Rivard H. Applying multi-objective genetic algorithms in green building design optimization. Build Environ 2005, 40(11):1512-1525.
    • (2005) Build Environ , vol.40 , Issue.11 , pp. 1512-1525
    • Wang, W.1    Zmeureanu, R.2    Rivard, H.3
  • 15
    • 67649202171 scopus 로고    scopus 로고
    • A new methodology for the design of low energy buildings
    • Chlela F., Husaunndee A., Inard C., Riederer P. A new methodology for the design of low energy buildings. Energy Build 2009, 41(9):982-990.
    • (2009) Energy Build , vol.41 , Issue.9 , pp. 982-990
    • Chlela, F.1    Husaunndee, A.2    Inard, C.3    Riederer, P.4
  • 16
    • 78649890228 scopus 로고    scopus 로고
    • A multi-objective decision model for the improvement of energy efficiency in buildings
    • Diakaki C., Grigoroudis E., Kabelis N., Kolokotsa D., Kalaitzakis K., Stavrakakis G. A multi-objective decision model for the improvement of energy efficiency in buildings. Energy 2010, 35(12):5483-5496.
    • (2010) Energy , vol.35 , Issue.12 , pp. 5483-5496
    • Diakaki, C.1    Grigoroudis, E.2    Kabelis, N.3    Kolokotsa, D.4    Kalaitzakis, K.5    Stavrakakis, G.6
  • 17
    • 70350586743 scopus 로고    scopus 로고
    • Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and artificial neural network
    • Magnier L., Haghighat F. Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and artificial neural network. Build Environ 2010, 45(3):739-746.
    • (2010) Build Environ , vol.45 , Issue.3 , pp. 739-746
    • Magnier, L.1    Haghighat, F.2
  • 18
    • 80053308514 scopus 로고    scopus 로고
    • Impact of energy efficiency measures on the economic value of buildings
    • Popescu D., Bienert S., Schützenhofer C., Boazu R. Impact of energy efficiency measures on the economic value of buildings. Appl Energy 2012, 89(1):454-463.
    • (2012) Appl Energy , vol.89 , Issue.1 , pp. 454-463
    • Popescu, D.1    Bienert, S.2    Schützenhofer, C.3    Boazu, R.4
  • 19
    • 82155186761 scopus 로고    scopus 로고
    • Financial viability of energy-efficiency measures in a new detached house design in Finland
    • Saari A., Kalamees T., Jokisalo J., Michelsson R., Alanne K., Kurnitski J. Financial viability of energy-efficiency measures in a new detached house design in Finland. Appl Energy 2012, 92(April):76-83.
    • (2012) Appl Energy , vol.92 , Issue.APRIL , pp. 76-83
    • Saari, A.1    Kalamees, T.2    Jokisalo, J.3    Michelsson, R.4    Alanne, K.5    Kurnitski, J.6
  • 20
    • 84857407540 scopus 로고    scopus 로고
    • Energy optimization of building design for different housing units in apartment buildings
    • Yao J. Energy optimization of building design for different housing units in apartment buildings. Appl Energy 2012, 94(June):330-337.
    • (2012) Appl Energy , vol.94 , Issue.JUNE , pp. 330-337
    • Yao, J.1
  • 21
    • 77954087387 scopus 로고    scopus 로고
    • Modeling and optimization of HVAC energy consumption
    • Kusiak A., Li M., Tang F. Modeling and optimization of HVAC energy consumption. Appl Energy 2010, 87(10):3092-3102.
    • (2010) Appl Energy , vol.87 , Issue.10 , pp. 3092-3102
    • Kusiak, A.1    Li, M.2    Tang, F.3
  • 22
    • 80054867746 scopus 로고    scopus 로고
    • Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm
    • Fesanghary M., Asadi S., Geem Z.W. Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm. Build Environ 2012, 49(March):245-250.
    • (2012) Build Environ , vol.49 , Issue.MARCH , pp. 245-250
    • Fesanghary, M.1    Asadi, S.2    Geem, Z.W.3
  • 23
    • 81855164964 scopus 로고    scopus 로고
    • Multi-objective optimization for building retrofit strategies: a model and an application
    • Asadi E., da Silva M.G., Antunes C.H., Dias L. Multi-objective optimization for building retrofit strategies: a model and an application. Energy Build 2012, 44(January):81-87.
    • (2012) Energy Build , vol.44 , Issue.JANUARY , pp. 81-87
    • Asadi, E.1    da Silva, M.G.2    Antunes, C.H.3    Dias, L.4
  • 24
    • 78650525067 scopus 로고    scopus 로고
    • Development of a multicriteria tool for optimizing the renovation of buildings
    • Chantrelle F.P., Lahmidi H., Keilholz W., El Mankibi M., Michel P. Development of a multicriteria tool for optimizing the renovation of buildings. Appl Energy 2011, 88(4):1386-1394.
    • (2011) Appl Energy , vol.88 , Issue.4 , pp. 1386-1394
    • Chantrelle, F.P.1    Lahmidi, H.2    Keilholz, W.3    El Mankibi, M.4    Michel, P.5
  • 25
    • 84874866955 scopus 로고    scopus 로고
    • A multiple objective optimisation model for building energy efficiency investment decision
    • Malatji E.M., Zhang J., Xia X. A multiple objective optimisation model for building energy efficiency investment decision. Energy Build 2013, 61(February):81-87.
    • (2013) Energy Build , vol.61 , Issue.FEBRUARY , pp. 81-87
    • Malatji, E.M.1    Zhang, J.2    Xia, X.3
  • 26
    • 84870668912 scopus 로고    scopus 로고
    • A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010
    • Hamdy M., Hasan A., Siren K. A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010. Energy Build 2013, 56(January):189-203.
    • (2013) Energy Build , vol.56 , Issue.JANUARY , pp. 189-203
    • Hamdy, M.1    Hasan, A.2    Siren, K.3
  • 31
    • 2442535151 scopus 로고    scopus 로고
    • Survey of multi-objective optimization methods for engineering
    • Marler R.T., Arora J.S. Survey of multi-objective optimization methods for engineering. Struct. Multidiscip. Optimiz. 2004, 26(6):369-395.
    • (2004) Struct. Multidiscip. Optimiz. , vol.26 , Issue.6 , pp. 369-395
    • Marler, R.T.1    Arora, J.S.2
  • 32
    • 84914157218 scopus 로고    scopus 로고
    • EPA - ED formulas: calculation scheme: energy performance assessment method for existing dwellings
    • Berben JJL, Vis I, Witchen K, Grau K. EPA - ED formulas: calculation scheme: energy performance assessment method for existing dwellings; 2004.
    • (2004)
    • Berben, J.J.L.1    Vis, I.2    Witchen, K.3    Grau, K.4
  • 34
    • 84875917412 scopus 로고    scopus 로고
    • OPTI: lowering the barrier between open source optimizers and the industrial MATLAB user
    • Currie J, Wilson D. OPTI: lowering the barrier between open source optimizers and the industrial MATLAB user. In: Foundations of computer-aided process operations; 2012.
    • (2012) Foundations of computer-aided process operations
    • Currie, J.1    Wilson, D.2
  • 35
    • 84857599235 scopus 로고    scopus 로고
    • Environmental impacts of the UK residential sector: life cycle assessment of houses
    • Cuéllar-Franca R.M., Azapagic A. Environmental impacts of the UK residential sector: life cycle assessment of houses. Build Environ 2012, 54(August):86-99.
    • (2012) Build Environ , vol.54 , Issue.August , pp. 86-99
    • Cuéllar-Franca, R.M.1    Azapagic, A.2
  • 36
    • 85021215281 scopus 로고    scopus 로고
    • RETScreen international clean energy project analysis software.
    • Ministry of Natural Resources Canada. RETScreen international clean energy project analysis software.
  • 38
    • 85021204302 scopus 로고    scopus 로고
    • Measurement of domestic hot water consumption in dwellings
    • Energy Saving Trust. Measurement of domestic hot water consumption in dwellings; 2008.
    • (2008)
  • 39
    • 85021247889 scopus 로고    scopus 로고
    • Technical regulations 20701-3/2010: climate data of Greece
    • [in Greek].
    • Technical Chamber of Greece. Technical regulations 20701-3/2010: climate data of Greece; 2010. [in Greek].
    • (2010)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.