Interactive urban building energy modelling with functional mockup interface of a local residential building stock

Issermann, Maikel; Chang, Fi-John; Kow, Pu Yun

doi:10.1016/j.jclepro.2020.125683

Cited by 18 publications

(2 citation statements)

References 32 publications

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“…To add on this, due to the fast development of computer technology, researchers have developed various Urban Building Energy Modeling (UBEM) tools in recent years, which are a bottom-up approach (Liu et al 2023). UBEM tools allow to support municipalities in shaping the necessary strategies by estimating energy demand with high spatial and temporal resolution (Issermann et al 2021). For instance, the paper (Deng et al 2023) introduces a new UBEM tool to calculate urban building energy demands and to analyze energy retrofits and rooftop photovoltaic potentials.…”

Section: Software Tools For Large-scale Building Assessmentsmentioning

confidence: 99%

“…To simplify building interactions and implement multi-thread computations, Zheng et al (2019b) developed an efficient and reliable parallel computational building-chain simulation model. In Issermann et al (2021), a Functional Mockup Interface (FMI)-based UBEM that couples EnergyPlus with external models is proposed and tested in a German city, estimating sub-hourly energy demands based on the adjacent environmental conditions of each building. In this regard, to evaluate microclimatic effects in the built environment, one of the most used tools is ENVI-met, a 3D microclimate model which can be integrated into EnergyPlus to quantify the effects on building energy consumption.…”

Section: Software Tools For Large-scale Building Assessmentsmentioning

confidence: 99%

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Building geometry data from online maps for accurate thermal simulations of districts

2023

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Current approaches for simulating the energy performance of buildings on a large scale are limited by numerous assumptions and simplifications, which can lead to inaccurate estimations. While new tools and procedures are emerging to improve accuracy, there remains a need for more user-friendly methods. This study proposes a new tool based on online maps to create the geometry of districts in a simple way. The tool also enables an automatic evaluation of all buildings through dynamic hourly simulations, using a building simulation software and allowing to consider different weather conditions. To illustrate the procedure, a district at risk of energy poverty in Seville (Spain) is modeled, where hourly temperature data for a whole year are available to demonstrate the need for building improvements. The tool is used to evaluate the energy demands of the district under several retrofitting alternatives, and free-floating simulations are also performed to evaluate the improvement of thermal comfort without air-conditioning systems. The aim is not to discuss the actual values for this particular case, but rather to identify the correct direction for large-scale studies, so as to make them more easily conducted. Overall, it may be concluded that the results provided by comprehensive tools, such as the one proposed in this study, enable easy yet accurate evaluations of buildings on a large scale with significant time savings, as well as the identification of locations where retrofitting interventions would have the greatest impact.

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Section: Software Tools For Large-scale Building Assessmentsmentioning

confidence: 99%

Section: Software Tools For Large-scale Building Assessmentsmentioning

confidence: 99%