Energy signature

Energy signatures (also called change-point regression models) relate energy demand of buildings to climatic variables, typically ambient temperature.^[1] Also other climatic variables such as heating or cooling degree days are used.^[2] In most cases, heating or cooling building energy demand is analysed through energy signatures, but also hot water or electricity demand is considered.

Energy signatures make a simplified assumption of a linear relationship between a building's energy demand and temperature.^[3] This assumption allows for balancing accuracy with computation time, as the estimation of energy demand through energy signatures is considerably faster than using building performance simulation software. A crucial advantage of applying energy signatures is that no detailed information on the geometrical, construction, and operational characteristics of buildings needs to be available.

References[edit]

^ Eggimann Sven, Fiorentini Massimo (2024), "Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation", Energy and Buildings, doi:10.1016/j.enbuild.2024.114348
^ Gorazd Krese, Matjaž Prek, Vincenc Butala (2012), "Analysis of Building Electric Energy Consumption Data Using an Improved Cooling Degree Day Method", Journal of Mechanical Engineering, doi:10.5545/sv-jme.2011.160{{citation}}: CS1 maint: multiple names: authors list (link)
^ Martin Eriksson, Jan Akander, Bahram Moshfeg (2010), "Development and validation of energy signature method – Case study on a multi-family building in Sweden before and after deep renovation", Energy and Buildings, doi:10.1016/j.enbuild.2020.109756{{citation}}: CS1 maint: multiple names: authors list (link)

[1] Eggimann Sven, Fiorentini Massimo (2024), "Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation", Energy and Buildings, doi:10.1016/j.enbuild.2024.114348

[2] Gorazd Krese, Matjaž Prek, Vincenc Butala (2012), "Analysis of Building Electric Energy Consumption Data Using an Improved Cooling Degree Day Method", Journal of Mechanical Engineering, doi:10.5545/sv-jme.2011.160{{citation}}: CS1 maint: multiple names: authors list (link)

[3] Martin Eriksson, Jan Akander, Bahram Moshfeg (2010), "Development and validation of energy signature method – Case study on a multi-family building in Sweden before and after deep renovation", Energy and Buildings, doi:10.1016/j.enbuild.2020.109756{{citation}}: CS1 maint: multiple names: authors list (link)

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