Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Simulation of Electricity Demand in Non-residential Buildings Based on CityGML Data Models
A granular understanding of urban electricity demands is a prerequisite for defining measures towards zero-carbon cities. Previous efforts focused mostly on residential electricity demands. This work introduces a bottom-up method to assess non-residential building electricity demands based on 3D building models. First, 200 + non-residential usage types are implemented via a Usage Library. For three of these usage types, specific electricity indicators (SEI) are subsequently calculated and the annual electricity demand is determined based on the SEI and the heated area per building. The new method is validated with 2019 data from two German cities: while simulated electricity demands for individual buildings can deviate by more than 50% compared to measured data, aggregated results show much lower deviations of 12% for office buildings, 10% for day-care centers, and close to 0% for school buildings. The proposed method can thus provide good estimates for various important non-residential building types at city quarter level.
Simulation of Electricity Demand in Non-residential Buildings Based on CityGML Data Models
A granular understanding of urban electricity demands is a prerequisite for defining measures towards zero-carbon cities. Previous efforts focused mostly on residential electricity demands. This work introduces a bottom-up method to assess non-residential building electricity demands based on 3D building models. First, 200 + non-residential usage types are implemented via a Usage Library. For three of these usage types, specific electricity indicators (SEI) are subsequently calculated and the annual electricity demand is determined based on the SEI and the heated area per building. The new method is validated with 2019 data from two German cities: while simulated electricity demands for individual buildings can deviate by more than 50% compared to measured data, aggregated results show much lower deviations of 12% for office buildings, 10% for day-care centers, and close to 0% for school buildings. The proposed method can thus provide good estimates for various important non-residential building types at city quarter level.
Simulation of Electricity Demand in Non-residential Buildings Based on CityGML Data Models
Environ Sci Eng
Wang, Liangzhu Leon (Herausgeber:in) / Ge, Hua (Herausgeber:in) / Zhai, Zhiqiang John (Herausgeber:in) / Qi, Dahai (Herausgeber:in) / Ouf, Mohamed (Herausgeber:in) / Sun, Chanjuan (Herausgeber:in) / Wang, Dengjia (Herausgeber:in) / Köhler, Sally (Autor:in) / Hötzel, Sarina (Autor:in) / Schröter, Bastian (Autor:in)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Kapitel: 314 ; 2947-2955
05.09.2023
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Specific electricity indicators , Usage type categorization , Energy simulation of non-residential buildings , Urban energy planning Engineering , Building Physics, HVAC , Fire Science, Hazard Control, Building Safety , Sustainable Architecture/Green Buildings , Renewable and Green Energy , Environment, general
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