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Volumn 127, Issue , 2014, Pages 125-134

Mapping demand for residential building thermal energy services using airborne LiDAR

Author keywords

Building energy; LiDAR; Map; Modelling; Services; Simulation

Indexed keywords

COMPUTER SOFTWARE; ENERGY MANAGEMENT; ESTIMATION; MAPS; MODELS; OPTICAL RADAR; THERMAL ENERGY; URBAN PLANNING;

EID: 84899874479     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.03.035     Document Type: Article
Times cited : (34)

References (53)
  • 1
    • 0029799602 scopus 로고    scopus 로고
    • Disconnected policy: the shaping of local energy management
    • Guy S., Marvin S. Disconnected policy: the shaping of local energy management. Environ Plann C 1996, 14:145-158.
    • (1996) Environ Plann C , vol.14 , pp. 145-158
    • Guy, S.1    Marvin, S.2
  • 2
    • 0003403113 scopus 로고    scopus 로고
    • International Energy Agency (IEA). Available online at:
    • International Energy Agency (IEA). World Energy Outlook; 2008. Available online at: http://www.worldenergyoutlook.org.
    • (2008) World Energy Outlook
  • 3
    • 84875495442 scopus 로고    scopus 로고
    • Canada's energy future: Energy supply and demand projections to 2035
    • National Energy Board, (NEB). Report
    • National Energy Board, (NEB). Canada's energy future: Energy supply and demand projections to 2035. Report; 2011.
    • (2011)
  • 4
    • 84881774697 scopus 로고    scopus 로고
    • Transnational voluntary climate change initiatives for local governments: key variables, drivers, and likely effects
    • Edward Elgar Publishing, Cheltenham, UK, B. Richardson (Ed.)
    • Wood S., Thompson K. Transnational voluntary climate change initiatives for local governments: key variables, drivers, and likely effects. Local climate change law: environmental regulation in cities and other localities 2012, 29-66. Edward Elgar Publishing, Cheltenham, UK. B. Richardson (Ed.).
    • (2012) Local climate change law: environmental regulation in cities and other localities , pp. 29-66
    • Wood, S.1    Thompson, K.2
  • 5
    • 0031153931 scopus 로고    scopus 로고
    • Domestic hot water consumption in South African houses for developed and developing communities
    • Meyer J., Tshimankinda M. Domestic hot water consumption in South African houses for developed and developing communities. Int J Energy Res 1997, 21(7):667-673.
    • (1997) Int J Energy Res , vol.21 , Issue.7 , pp. 667-673
    • Meyer, J.1    Tshimankinda, M.2
  • 6
    • 37349028760 scopus 로고    scopus 로고
    • A review on buildings energy consumption information
    • Pérez-Lombard L., Ortiz J., Pout C. A review on buildings energy consumption information. Energy Build 2008, 40(3):394-398.
    • (2008) Energy Build , vol.40 , Issue.3 , pp. 394-398
    • Pérez-Lombard, L.1    Ortiz, J.2    Pout, C.3
  • 7
    • 36549076471 scopus 로고    scopus 로고
    • Contrasting the capabilities of building energy performance simulation programs
    • Crawley D., Hand J., Kummert M., Griffith B. Contrasting the capabilities of building energy performance simulation programs. Build Environ 2008, 43(4):661-673.
    • (2008) Build Environ , vol.43 , Issue.4 , pp. 661-673
    • Crawley, D.1    Hand, J.2    Kummert, M.3    Griffith, B.4
  • 8
    • 84873151199 scopus 로고    scopus 로고
    • A supporting method for defining energy strategies in the building sector at urban scale
    • Caputo P., Costa G., Ferrari S. A supporting method for defining energy strategies in the building sector at urban scale. Energy Policy 2013, 55:261-270.
    • (2013) Energy Policy , vol.55 , pp. 261-270
    • Caputo, P.1    Costa, G.2    Ferrari, S.3
  • 10
    • 67650761091 scopus 로고    scopus 로고
    • Modelling of end-use energy consumption in the residential sector: a review of modelling techniques
    • Swan L.G., Ugursal V.I. Modelling of end-use energy consumption in the residential sector: a review of modelling techniques. Renew Sust Energy Rev 2009, 13(8):1819-1835.
    • (2009) Renew Sust Energy Rev , vol.13 , Issue.8 , pp. 1819-1835
    • Swan, L.G.1    Ugursal, V.I.2
  • 11
    • 84860217345 scopus 로고    scopus 로고
    • A review of urban energy system models: approaches, challenges and opportunities
    • Keirstead J., Jennings M., Sivakumar A. A review of urban energy system models: approaches, challenges and opportunities. Renew Sust Energy Rev 2012, 16(6):3847-3866.
    • (2012) Renew Sust Energy Rev , vol.16 , Issue.6 , pp. 3847-3866
    • Keirstead, J.1    Jennings, M.2    Sivakumar, A.3
  • 12
    • 43049138386 scopus 로고    scopus 로고
    • Using building energy simulation and geospatial modelling techniques to determine high resolution building sector energy consumption profiles
    • Heiple S., Sailor D. Using building energy simulation and geospatial modelling techniques to determine high resolution building sector energy consumption profiles. Energy Build 2008, 40(8):1426-1436.
    • (2008) Energy Build , vol.40 , Issue.8 , pp. 1426-1436
    • Heiple, S.1    Sailor, D.2
  • 13
    • 84891393781 scopus 로고    scopus 로고
    • Hybrid energy-economy models and endogenous technological change
    • Springer, US, R. Loulou, J. Waaub, G. Zaccour (Eds.)
    • Jaccard M. Hybrid energy-economy models and endogenous technological change. Energy and environment 2005, 81-109. Springer, US. R. Loulou, J. Waaub, G. Zaccour (Eds.).
    • (2005) Energy and environment , pp. 81-109
    • Jaccard, M.1
  • 14
    • 33751325541 scopus 로고    scopus 로고
    • Urban morphology and indicators of radiation availability
    • Robinson D. Urban morphology and indicators of radiation availability. Sol Energy 2006, 80(12):1643-1648.
    • (2006) Sol Energy , vol.80 , Issue.12 , pp. 1643-1648
    • Robinson, D.1
  • 15
    • 79958753050 scopus 로고    scopus 로고
    • Toward an integrated GIScience and energy research agenda
    • Horner M.W., Zhao T., Chapin T.S. Toward an integrated GIScience and energy research agenda. Ann Assoc Am Geogr 2012, 101(4):764-774.
    • (2012) Ann Assoc Am Geogr , vol.101 , Issue.4 , pp. 764-774
    • Horner, M.W.1    Zhao, T.2    Chapin, T.S.3
  • 17
    • 2642538304 scopus 로고    scopus 로고
    • Modelling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networks
    • Aydinalp M., Ugursal V., Fung A. Modelling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networks. Appl Energy 2004, 79(2):159-178.
    • (2004) Appl Energy , vol.79 , Issue.2 , pp. 159-178
    • Aydinalp, M.1    Ugursal, V.2    Fung, A.3
  • 18
    • 0032181722 scopus 로고    scopus 로고
    • A residential end-use energy consumption model for Canada
    • Farahbakhsh H., Ugursal V., Fung A. A residential end-use energy consumption model for Canada. Int J Energy Res 1998, 22(13):1133-1143.
    • (1998) Int J Energy Res , vol.22 , Issue.13 , pp. 1133-1143
    • Farahbakhsh, H.1    Ugursal, V.2    Fung, A.3
  • 19
    • 0038041991 scopus 로고    scopus 로고
    • Methods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approach
    • Rylatt R., Gadsden S., Lomas K. Methods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approach. Build Serv Eng Res Technol 2003, 24(2):93-102.
    • (2003) Build Serv Eng Res Technol , vol.24 , Issue.2 , pp. 93-102
    • Rylatt, R.1    Gadsden, S.2    Lomas, K.3
  • 20
    • 84859922273 scopus 로고    scopus 로고
    • Assessing contextual descriptive features for plot-based classification of urban areas
    • Hermosilla T.L., Ruiz A., Recio J.A., Cambra-López M. Assessing contextual descriptive features for plot-based classification of urban areas. Landscape Urban Plan 2012, 106(1):124-137.
    • (2012) Landscape Urban Plan , vol.106 , Issue.1 , pp. 124-137
    • Hermosilla, T.L.1    Ruiz, A.2    Recio, J.A.3    Cambra-López, M.4
  • 21
    • 77952760168 scopus 로고    scopus 로고
    • Characterizing urban surface cover and structure with airborne lidar technology
    • Goodwin N., Coops N.C., Tooke T.R., Christen A., Voogt J. Characterizing urban surface cover and structure with airborne lidar technology. Can J Remote Sens 2009, 35(3):297-309.
    • (2009) Can J Remote Sens , vol.35 , Issue.3 , pp. 297-309
    • Goodwin, N.1    Coops, N.C.2    Tooke, T.R.3    Christen, A.4    Voogt, J.5
  • 22
    • 85021199596 scopus 로고    scopus 로고
    • ecoENERGY Retrofit - Homes Program. Available online at:
    • ecoENERGY Retrofit - Homes Program. Available online at: http://oee.nrcan.gc.ca/residential/6551.
  • 23
    • 84869776606 scopus 로고    scopus 로고
    • Development of archetypes of building characteristics libraries for simplified energy use evaluation of houses
    • Proc. 9th Int IBPSA Conf
    • Parekh A. Development of archetypes of building characteristics libraries for simplified energy use evaluation of houses. In: Proc. 9th Int IBPSA Conf; 2005. p. 921-8.
    • (2005) , pp. 921-928
    • Parekh, A.1
  • 24
    • 84899861683 scopus 로고    scopus 로고
    • City of Vancouver. Available online at:
    • City of Vancouver. Drinking Water Quality: Annual Report; 2009. Available online at: http://vancouver.ca/engsvcs/watersewers/water/pdf/WQReport_2009.pdf.
    • (2009) Drinking Water Quality: Annual Report
  • 25
    • 84860581879 scopus 로고    scopus 로고
    • Available online at:
    • Energy Use in Canada. Available online at: http://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/home.cfm.
    • Energy Use in Canada
  • 26
    • 85021185694 scopus 로고    scopus 로고
    • Heating/cooling degree-day seasonality in British Columbia. BC hydro customer information management - load, analysis
    • Wahlgren, RV. Heating/cooling degree-day seasonality in British Columbia. BC hydro customer information management - load, analysis; 2010. p. 85.
    • (2010) , pp. 85
    • Wahlgren, R.V.1
  • 27
    • 84872488380 scopus 로고    scopus 로고
    • A point obstruction stacking (POSt) approach to wall irradiance modelling across urban environments
    • Tooke T.R., Coops N.C., Christen A. A point obstruction stacking (POSt) approach to wall irradiance modelling across urban environments. Build Environ 2013, 60:234-242.
    • (2013) Build Environ , vol.60 , pp. 234-242
    • Tooke, T.R.1    Coops, N.C.2    Christen, A.3
  • 28
    • 69449102119 scopus 로고    scopus 로고
    • A GIS approach to estimation of building population for micro-analysis
    • Lwin K., Murayama Y. A GIS approach to estimation of building population for micro-analysis. Trans GIS 2009, 13(4):401-414.
    • (2009) Trans GIS , vol.13 , Issue.4 , pp. 401-414
    • Lwin, K.1    Murayama, Y.2
  • 29
    • 84899859186 scopus 로고    scopus 로고
    • Statistics on the built infrastructure at the Vancouver EPiCC experimental sites
    • EPiCC Technical Report No. 4; Available online at:
    • VanderLaan M, Tooke R, Christen A, Coops N, Heyman E, Olchovski I. Statistics on the built infrastructure at the Vancouver EPiCC experimental sites. EPiCC Technical Report No. 4; 2012. Available online at: http://www.geog.ubc.ca/~epicc/reports/Vancouver-EPiCC-Tech-Report-4.pdf.
    • (2012)
    • VanderLaan, M.1    Tooke, R.2    Christen, A.3    Coops, N.4    Heyman, E.5    Olchovski, I.6
  • 30
    • 84881335625 scopus 로고    scopus 로고
    • Identifying building types and building clusters using 3D-laser scanning and GIS-data
    • XXth ISPRS congress. Istanbul
    • Neidhart H, Sester M. Identifying building types and building clusters using 3D-laser scanning and GIS-data. In: Geo-imagery bridging continents, XXth ISPRS congress. Istanbul; 2004. p. 715-20.
    • (2004) Geo-imagery bridging continents , pp. 715-720
    • Neidhart, H.1    Sester, M.2
  • 31
    • 79957645759 scopus 로고    scopus 로고
    • Classification of residential building architectural typologies using LiDAR
    • Joint Urban Remote Sensing Event (JURSE). Munich, Germany; April 11-13
    • Tooke TR, VanderLaan M, Coops NC, Christen A, Kellett R. Classification of residential building architectural typologies using LiDAR. Joint Urban Remote Sensing Event (JURSE). Munich, Germany; April 11-13, 2011.
    • (2011)
    • Tooke, T.R.1    VanderLaan, M.2    Coops, N.C.3    Christen, A.4    Kellett, R.5
  • 32
    • 84887650988 scopus 로고    scopus 로고
    • Predicting building age from LiDAR data with random forests for building energy modelling
    • Tooke T.R., Coops N.C., Webster J. Predicting building age from LiDAR data with random forests for building energy modelling. Energy Build 2014, 68:603-610.
    • (2014) Energy Build , vol.68 , pp. 603-610
    • Tooke, T.R.1    Coops, N.C.2    Webster, J.3
  • 34
    • 84865730031 scopus 로고    scopus 로고
    • Integrated irradiance modelling in the urban environment based on remotely sensed data
    • Tooke T.R., Coops N.C., Christen A., Gurtuna O., Prevot A. Integrated irradiance modelling in the urban environment based on remotely sensed data. Sol Energy 2012, 86:2923-2934.
    • (2012) Sol Energy , vol.86 , pp. 2923-2934
    • Tooke, T.R.1    Coops, N.C.2    Christen, A.3    Gurtuna, O.4    Prevot, A.5
  • 35
    • 78649615368 scopus 로고    scopus 로고
    • Domestic water heating and water heater energy consumption in Canada
    • Canadian Building Energy End-Use Data and Analysis Centre. Available online at:
    • Aguilar C, White DJ, Ryan DL. Domestic water heating and water heater energy consumption in Canada. Canadian Building Energy End-Use Data and Analysis Centre; 2005. Available online at: http://sedc-coalition.eu/wp-content/uploads/2011/07/CREEDAC-Canadian-Residential-Hot-Water-Apr-2005.pdf.
    • (2005)
    • Aguilar, C.1    White, D.J.2    Ryan, D.L.3
  • 36
    • 70349972576 scopus 로고    scopus 로고
    • Modelling patterns of hot water use in households
    • Lawrence Berkeley National Laboratory. Available online at:
    • Lutz J, Liu X, McMahon J, Dunham C, Shown L, McGrue Q. Modelling patterns of hot water use in households. Lawrence Berkeley National Laboratory; 1996. Available online at: http://eetd.lbl.gov/publications/modelling-patterns-hot-water-use-households.
    • (1996)
    • Lutz, J.1    Liu, X.2    McMahon, J.3    Dunham, C.4    Shown, L.5    McGrue, Q.6
  • 37
    • 70350189944 scopus 로고    scopus 로고
    • Household water use behavior: an integrated model
    • Jorgensen B., Graymore M., O'Toole K. Household water use behavior: an integrated model. J Environ Manage 2009, 1:227-236.
    • (2009) J Environ Manage , vol.1 , pp. 227-236
    • Jorgensen, B.1    Graymore, M.2    O'Toole, K.3
  • 38
    • 36549048819 scopus 로고    scopus 로고
    • Achieving total domestic hot water production with renewable energy
    • Biaou A., Bernier M. Achieving total domestic hot water production with renewable energy. Build Environ 2008, 43(4):651-660.
    • (2008) Build Environ , vol.43 , Issue.4 , pp. 651-660
    • Biaou, A.1    Bernier, M.2
  • 39
    • 84891848403 scopus 로고    scopus 로고
    • Analysis of the annual energy and water consumption of apartment buildings in the CMHC HiSTAR database
    • Canadian Mortage and Housing Corporation. Research Highlights, Technical Series 01-142. Available online at:
    • Canadian Mortage and Housing Corporation. Analysis of the annual energy and water consumption of apartment buildings in the CMHC HiSTAR database. Research Highlights, Technical Series 01-142. Available online at: http://www.cmhc-schl.gc.ca/publications/en/rh-pr/tech/tech01-142.htm.
  • 40
    • 77950388535 scopus 로고    scopus 로고
    • The end uses of hot water in single family homes from flow trace analysis
    • Report. Aquacraft Inc.
    • DeOreo WB, Mayer PW. The end uses of hot water in single family homes from flow trace analysis. Report. Aquacraft Inc.; 2000.
    • (2000)
    • DeOreo, W.B.1    Mayer, P.W.2
  • 41
    • 84899878253 scopus 로고    scopus 로고
    • Legionella
    • 2nd ed. Addendum: Microbiological Agents in Drinking Water
    • World Health Organization (WHO). Legionella. In: Guidelines for drinking water. 2nd ed. Addendum: Microbiological Agents in Drinking Water; 2002.
    • (2002) Guidelines for drinking water
  • 42
    • 0024188824 scopus 로고    scopus 로고
    • The urban energy balance
    • Oke T.R. The urban energy balance. Prog Phys Geog 1998, 12:471-508.
    • (1998) Prog Phys Geog , vol.12 , pp. 471-508
    • Oke, T.R.1
  • 43
    • 32044439584 scopus 로고    scopus 로고
    • Intercomparisons of experimental convective heat transfer coefficients and mass transfer coefficients of urban surfaces
    • Hagishima A., Tanimoto J., Narita K. Intercomparisons of experimental convective heat transfer coefficients and mass transfer coefficients of urban surfaces. Bound-Lay Meteorol 2005, 117(3):551-576.
    • (2005) Bound-Lay Meteorol , vol.117 , Issue.3 , pp. 551-576
    • Hagishima, A.1    Tanimoto, J.2    Narita, K.3
  • 44
    • 0038454709 scopus 로고    scopus 로고
    • Field measurements for estimating the convective heat transfer coefficient at building surfaces
    • Hagishima A., Tanimoto J. Field measurements for estimating the convective heat transfer coefficient at building surfaces. Build Environ 2003, 38(7):873-881.
    • (2003) Build Environ , vol.38 , Issue.7 , pp. 873-881
    • Hagishima, A.1    Tanimoto, J.2
  • 45
    • 0031677834 scopus 로고    scopus 로고
    • Outside surface resistance: proposed new value for building design
    • Loveday D.L., Taki A.H. Outside surface resistance: proposed new value for building design. Build Serv Eng Res T 1998, 19(1):23-29.
    • (1998) Build Serv Eng Res T , vol.19 , Issue.1 , pp. 23-29
    • Loveday, D.L.1    Taki, A.H.2
  • 46
    • 0005851820 scopus 로고
    • Heat losses from house basements
    • Latta J.K., Boileau G.G. Heat losses from house basements. Can Build 1969, 19(10):39.
    • (1969) Can Build , vol.19 , Issue.10 , pp. 39
    • Latta, J.K.1    Boileau, G.G.2
  • 47
    • 0023295574 scopus 로고
    • Estimation of infiltration from leakage and climate indicators
    • Sherman M. Estimation of infiltration from leakage and climate indicators. Energy Build 1987, 10:81-86.
    • (1987) Energy Build , vol.10 , pp. 81-86
    • Sherman, M.1
  • 48
    • 84899889415 scopus 로고    scopus 로고
    • Available online at:
    • Element DB. Available online at: http://elementsdb.sala.ubc.ca/.
    • Element, D.B.1
  • 50
    • 84899832156 scopus 로고    scopus 로고
    • Residential Energy Consumption Survey (RECS). US Energy Information Administration. Available online at:
    • Residential Energy Consumption Survey (RECS). US Energy Information Administration; 2009. Available online at: http://www.eia.gov/consumption/residential/data/2009.
    • (2009)
  • 51
    • 84899791009 scopus 로고    scopus 로고
    • The relationship between urban form and GHG emissions
    • The University of British Columbia. Available online at:
    • Senbel M, Church S. The relationship between urban form and GHG emissions. The University of British Columbia; 2010. Available online at: https://circle.ubc.ca/handle/2429/39750.
    • (2010)
    • Senbel, M.1    Church, S.2
  • 52
    • 84863531760 scopus 로고    scopus 로고
    • Developments to an existing city-wide district energy network - Part I: Identification of potential expansions using heat mapping
    • Finney K.N., Sharifi V.N., Swithenbank J., Nolan A., White S., Ogden S. Developments to an existing city-wide district energy network - Part I: Identification of potential expansions using heat mapping. Energy Convers Manage 2012, 62:165-175.
    • (2012) Energy Convers Manage , vol.62 , pp. 165-175
    • Finney, K.N.1    Sharifi, V.N.2    Swithenbank, J.3    Nolan, A.4    White, S.5    Ogden, S.6
  • 53
    • 84865480839 scopus 로고    scopus 로고
    • Behavioral science and energy policy
    • Allcott H., Mullainathan S. Behavioral science and energy policy. Science 2010, 327(5970):1-16.
    • (2010) Science , vol.327 , Issue.5970 , pp. 1-16
    • Allcott, H.1    Mullainathan, S.2


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