Data acquisition for urban building energy modeling: A review

Wang, Chao; Ferrando, Martina; Causone, Francesco; Jin, Xing; Zhou, Xia; Du, Sihong

doi:10.1016/j.buildenv.2022.109056

Cited by 67 publications

(21 citation statements)

References 131 publications

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“…Building stock composition and dynamics can also serve as a basis for predicting material outflow either as waste or as raw material for new building construction [10][11][12][13] . In turn, in energy and climate policy, spatially resolved data on the extent and condition of the building stock is essential for modeling energy demand scenarios and climate change policies aimed at reducing energy-related greenhouse gas emissions [14][15][16] . Finally, this information can be used in risk models for natural hazards or economic damage functions related to climate change, where it enables an explicit representation of the exposure of a building stock.…”

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confidence: 99%

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

et al. 2023

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Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. Comprehensive and openly accessible building stock data can enable impactful research exploring the most effective policy options. In Europe, efforts from citizen and governments generated numerous relevant datasets but these are fragmented and heterogeneous, thus hindering their usability. Here, we present eubucco v0.1, a database of individual building footprints for ~202 million buildings across the 27 European Union countries and Switzerland. Three main attributes – building height, construction year and type – are included for respectively 73%, 24% and 46% of the buildings. We identify, collect and harmonize 50 open government datasets and OpenStreetMap, and perform extensive validation analyses to assess the quality, consistency and completeness of the data in every country. eubucco v0.1 provides the basis for high-resolution urban sustainability studies across scales – continental, comparative or local studies – using a centralized source and is relevant for a variety of use cases, e.g., for energy system analysis or natural hazard risk assessments.

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confidence: 99%

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

et al. 2023

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“…Many UBEM projects have applied city-wide GIS data combined with LiDAR to generate building footprints [53]. Based on the above reviewed literature, we summarize and present a framework to assess the potential to apply "net zero energy" technologies in buildings at a community or city scale, as can be observed in Figure 1.…”

Section: Potential Applications To Retrofit Buildings Towards Net Zer...mentioning

confidence: 99%

GIS for the Potential Application of Renewable Energy in Buildings towards Net Zero: A Perspective

Feng

2023

Buildings

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Environmental, economic, and social activities involve inherent spatial dimensions. The geospatial information system (GIS), a platform containing principles, methods, and tools to link, create, visualize, analyze, and model artificial activities and environment, provides the possibility to develop sustainability in the building sector. With globally political collaborations across governments, the demands to manage and visualize sustainable data (e.g., building energy and environment with geospatial reference) and implement more rigorous building modelling are increasing. A systematic mapping at multiple scales will help urban engineers, architectural engineers, policymakers, and energy planners identify emission hotspots, locate spatial resources, restructure district energy mix, and achieve net zero energy targets. To achieve net zero energy goals, it is crucial to minimize energy consumption, improve energy efficiency, and most importantly, apply renewable energy in buildings. However, these processes imply many aspects and challenges, regarding e.g., data availability, scalability, integrability, and a lack of clear and applicable frameworks. In this conceptional perspective paper, we aim to explore the potential of applying and installing renewable energy in net zero energy buildings using the GIS. More specifically, the described virtual framework will effectively support policy- and decision-makers in optimizing the energy structure, reducing building emissions, and applying renewable energy technologies. We also present challenges, limitations, and future directions for real practice.

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“…The accuracy of the data and tthe process of data processing have an impact on the effective use of UBEM. On the other hand, the two main challenges in the UBEM process are the lack of existing data and the difficulties in detecting stochastic data [14,15]. A UBEM created in high resolution allows for detailed urban building energy analyzes where decision makers can better read the space [16].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive survey of the urban building energy modeling (UBEM) process and approaches

Yakut

ESEN

2023

International Journal of Energy Studies

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Fossil fuels increase the emission values of greenhouse gases such as CO2 in the atmosphere and cause global warming and climate change. At the same time, fossil fuel reserves are facing depletion in the near future, and energy supply also has an important dimension such as national security and foreign dependency. All these show that turning to renewable energy sources and developing solutions and policies for energy saving has become a necessity both globally and locally. For such reasons, modeling of urban structures, which have a great contribution to energy consumption, and simulating the energy demand on an urban scale are of great importance for the effective use of energy. Research on this has shown that UBEM (Urban Building Energy Modeling) is an effective solution to these problems. However, UBEM contains different technical problems for implementation. Due to its versatility, various concepts related to this field lead to complexity. With this increasing complexity, there is a growing need to compile concepts from a holistic perspective. In this study, it is aimed to create a solution to these challenges. For this purpose, a comprehensive and up-to-date research of various modeling approaches and model creation process used in urban building energy modeling has been conducted. Studies on these approaches are summarized and a systematic review of the literature is made. At the same time, the study is in the nature of guiding and forming the general knowledge level with the basic concepts that should be known to those who will work on UBEM.

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Data acquisition for urban building energy modeling: A review

Cited by 67 publications

References 131 publications

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

GIS for the Potential Application of Renewable Energy in Buildings towards Net Zero: A Perspective

A comprehensive survey of the urban building energy modeling (UBEM) process and approaches

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