Searched for: subject%3A%22Urban%255C+building%255C+energy%255C+modelling%22
(1 - 4 of 4)
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Mosteiro Romero, M.A. (author), Quintana, Matias (author), Stouffs, Rudi (author), Miller, Clayton (author)
In a global context of increasing flexibility in the way workplaces and the districts in which they are located are used, there is a need for occupant-driven approaches to plan urban energy systems. Several authors have suggested the use of agent-based models (ABM) of building occupants in urban building energy simulations due to their...
journal article 2024
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De Jaeger, Ina (author), Lago, Jesus (author), Saelens, Dirk (author)
To assess the impact of implementing energy efficiency and renewable energy measures, urban building energy models are emerging. In these models, due to the lack of data, the natural variability of the existing building stock is often highly underestimated and uncertainty on the simulated energy use arises. Therefore, this work proposes a...
journal article 2021
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Wang, C. (author), Tindemans, Simon H. (author), Miller, Clayton (author), Agugiaro, G. (author), Stoter, J.E. (author)
A bottom-up building energy modelling at the urban scale based on Geographic Information System and semantic 3D city models can provide quantitative insights to tackle critical urban energy challenges. Nevertheless, incomplete information is a common obstacle to produce reliable modelling results. The residential building heating demand...
journal article 2020
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Wang, Cheng-Kai (author)
To cut down immense greenhouse gases emission and energy consumption in the rapidly urbanizing world, a holistic understanding and rethinking of our dynamic urban energy system are inevitable. Performing bottom-up building energy modelings at urban scale based on Geographic Information System (GIS) and semantic 3D city models could be a...
master thesis 2018
Searched for: subject%3A%22Urban%255C+building%255C+energy%255C+modelling%22
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