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Volumn 42, Issue 6, 2014, Pages 725-738

Key factors determining the energy rating of existing English houses

Author keywords

building stock; energy rating; global sensitivity analysis; household energy; housing stock; modelling; Standard Assessment Procedure (SAP)

Indexed keywords

BUILDINGS; CARBON; ENERGY UTILIZATION; HEATING; HEATING EQUIPMENT; HOUSES; HOUSING; MODELS; RATING; SENSITIVITY ANALYSIS; WALLS (STRUCTURAL PARTITIONS);

EID: 84926127484     PISSN: 09613218     EISSN: 14664321     Source Type: Journal    
DOI: 10.1080/09613218.2014.905383     Document Type: Article
Times cited : (24)

References (18)
  • 4
    • 79957870613 scopus 로고    scopus 로고
    • Modelling domestic energy consumption at district scale: A tool to support national and local energy policies
    • Cheng, V., & Steemers, K. (2011). Modelling domestic energy consumption at district scale: A tool to support national and local energy policies. Environmental Modelling & Software, 26(10), 1186-1198. doi:10.1016/j.envsoft.2011.04.005
    • (2011) Environmental Modelling & Software , vol.26 , Issue.10 , pp. 1186-1198
    • Cheng, V.1    Steemers, K.2
  • 6
    • 84897695918 scopus 로고    scopus 로고
    • The gap between predicted and measured energy performance of buildings: A framework for investigation
    • De Wilde, P. (2014). The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in Construction, 41, 40-49. doi:10. 1016/j.autcon.2014.02.009
    • (2014) Automation in Construction , vol.41 , pp. 40-49
    • De Wilde, P.1
  • 7
    • 77649238126 scopus 로고    scopus 로고
    • Targeting household energy-efficiency measures using sensitivity analysis
    • Firth, S. K., Lomas, K. J., & Wright, a. J. (2010). Targeting household energy-efficiency measures using sensitivity analysis. Building Research&Information, 38(1), 25-41. doi:10. 1080/09613210903236706
    • (2010) Building Research&Information , vol.38 , Issue.1 , pp. 25-41
    • Firth, S.K.1    Lomas, K.J.2    Wright, A.J.3
  • 9
    • 84875705011 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analysis of england's housing energy model
    • Hughes, M., Palmer, J., Cheng, V., &Shipworth, D. (2013). Sensitivity and uncertainty analysis of England's housing energy model. Building Research & Information, 41(2), 156-167. doi:10.1080/09613218.2013.769146
    • (2013) Building Research & Information , vol.41 , Issue.2 , pp. 156-167
    • Hughes, M.1    Palmer, J.2    Cheng, V.3    Shipworth, D.4
  • 11
    • 80052092864 scopus 로고    scopus 로고
    • Do homes that are more energy efficient consume less energy?: A structural equation model of the english residential sector
    • Kelly, S. (2011). Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector. Energy, 36(9), 5610-5620. doi:10.1016/j.energy.2011.07.009
    • (2011) Energy , vol.36 , Issue.9 , pp. 5610-5620
    • Kelly, S.1
  • 12
    • 84868574873 scopus 로고    scopus 로고
    • Building performance evaluation and certification in the uk: Is sap fit for purpose?
    • Kelly, S., Crawford-Brown, D., & Pollitt, M. G. (2012). Building performance evaluation and certification in the UK: Is SAP fit for purpose? Renewable and Sustainable Energy Reviews, 16(9), 6861-6878. doi:10.1016/j.rser.2012.07.018
    • (2012) Renewable and Sustainable Energy Reviews , vol.16 , Issue.9 , pp. 6861-6878
    • Kelly, S.1    Crawford-Brown, D.2    Pollitt, M.G.3
  • 13
    • 0027071130 scopus 로고
    • Sensitivity analysis techniques for building thermal simulation programs
    • Lomas, K. J., & Eppel, H. (1992). Sensitivity analysis techniques for building thermal simulation programs. Energy and Buildings, 19(1), 21-44. doi:10.1016/0378- 7788(92)90033-D
    • (1992) Energy and Buildings , vol.19 , Issue.1 , pp. 21-44
    • Lomas, K.J.1    Eppel, H.2
  • 16
    • 78650532321 scopus 로고    scopus 로고
    • How to avoid a perfunctory sensitivity analysis
    • Saltelli, A., & Annoni, P. (2010). How to avoid a perfunctory sensitivity analysis. Environmental Modelling & Software, 25(12), 1508-1517. doi:10.1016/j.envsoft.2010.04.012
    • (2010) Environmental Modelling & Software , vol.25 , Issue.12 , pp. 1508-1517
    • Saltelli, A.1    Annoni, P.2
  • 17
    • 70450224663 scopus 로고    scopus 로고
    • Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
    • Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181(2), 259-270. doi:10.1016/j.cpc.2009.09.018
    • (2010) Computer Physics Communications , vol.181 , Issue.2 , pp. 259-270
    • Saltelli, A.1    Annoni, P.2    Azzini, I.3    Campolongo, F.4    Ratto, M.5    Tarantola, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.