Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Inverse modeling of the urban energy system using hourly electricity demand and weather measurements, Part 2: Gray-box model
https://orcid.org/0000-0002-3237-2162
HighlightsAnalysis of the energetic signature of a city.Inverse gray-box dynamic model inferred from load and weather data.Third-order lumped-parameter thermal network model of the urban system.Offers insights into thermal properties of urban structures and microclimate.UHI intensity is close to 2°C while the corresponding cooling penalty is 12%.
AbstractThe interpretation of the energetic signature of a city, taken as an integrated urban energy system, has been attempted in this study. Instead of the customary bottom-up approach, we successfully identified an average gray-box dynamic model by inversion of measured hourly system load and weather data. The third-order lumped-parameter thermal network model is derived by applying energy conservation principles to major nodes representing buildings, paved surfaces and urban canopy. This powerful data-driven approach offers deep insights into the thermo-physical properties of the built structures as well as the coupling of buildings and the urban microclimate. In particular, the Urban Heat Island (UHI) intensity has been determined to be close to 2°C while the corresponding electricity cooling load penalty is 12%.
Inverse modeling of the urban energy system using hourly electricity demand and weather measurements, Part 2: Gray-box model
https://orcid.org/0000-0002-3237-2162
HighlightsAnalysis of the energetic signature of a city.Inverse gray-box dynamic model inferred from load and weather data.Third-order lumped-parameter thermal network model of the urban system.Offers insights into thermal properties of urban structures and microclimate.UHI intensity is close to 2°C while the corresponding cooling penalty is 12%.
AbstractThe interpretation of the energetic signature of a city, taken as an integrated urban energy system, has been attempted in this study. Instead of the customary bottom-up approach, we successfully identified an average gray-box dynamic model by inversion of measured hourly system load and weather data. The third-order lumped-parameter thermal network model is derived by applying energy conservation principles to major nodes representing buildings, paved surfaces and urban canopy. This powerful data-driven approach offers deep insights into the thermo-physical properties of the built structures as well as the coupling of buildings and the urban microclimate. In particular, the Urban Heat Island (UHI) intensity has been determined to be close to 2°C while the corresponding electricity cooling load penalty is 12%.
Inverse modeling of the urban energy system using hourly electricity demand and weather measurements, Part 2: Gray-box model
https://orcid.org/0000-0002-3237-2162
HighlightsAnalysis of the energetic signature of a city.Inverse gray-box dynamic model inferred from load and weather data.Third-order lumped-parameter thermal network model of the urban system.Offers insights into thermal properties of urban structures and microclimate.UHI intensity is close to 2°C while the corresponding cooling penalty is 12%.
AbstractThe interpretation of the energetic signature of a city, taken as an integrated urban energy system, has been attempted in this study. Instead of the customary bottom-up approach, we successfully identified an average gray-box dynamic model by inversion of measured hourly system load and weather data. The third-order lumped-parameter thermal network model is derived by applying energy conservation principles to major nodes representing buildings, paved surfaces and urban canopy. This powerful data-driven approach offers deep insights into the thermo-physical properties of the built structures as well as the coupling of buildings and the urban microclimate. In particular, the Urban Heat Island (UHI) intensity has been determined to be close to 2°C while the corresponding electricity cooling load penalty is 12%.
Inverse modeling of the urban energy system using hourly electricity demand and weather measurements, Part 2: Gray-box model
Afshari, Afshin (Autor:in) / Liu, Nengbao (Autor:in)
Energy and Buildings ; 157 ; 139-156
17.01.2017
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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