2022
DOI: 10.1016/j.enbuild.2022.112504
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Geo-referenced building stock analysis as a basis for local-level energy and climate mitigation strategies

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Cited by 6 publications
(4 citation statements)
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“…Alphanumeric and INSPIRE cadastral data have been used by other authors to obtain energy building information, e.g., Refs. [ 21 , 36 , 37 ]. In conclusion, alphanumeric and INSPIRE cadastral data enhance the energy models through the incorporation of detailed information about the characteristics of the buildings.…”
Section: Methodsmentioning
confidence: 99%
“…Alphanumeric and INSPIRE cadastral data have been used by other authors to obtain energy building information, e.g., Refs. [ 21 , 36 , 37 ]. In conclusion, alphanumeric and INSPIRE cadastral data enhance the energy models through the incorporation of detailed information about the characteristics of the buildings.…”
Section: Methodsmentioning
confidence: 99%
“…In an another effort, simple GIS files were used to automatically generate urban building geometries that were then coupled with typical energy use intensities for single-and multi-family houses and retail buildings to simulate and visualize the energy performance of buildings in Evanston, IL, USA [31]. A geo-referenced BSM was used to collect, manage and analyze spatial data in Trondheim, Norway [32]. The GIS model utilized cadastral maps with all the necessary data on building types (i.e., three types of residential building and eight types of service building), the year of construction, and the floor area of the buildings.…”
Section: Use Of Georeferenced Datamentioning
confidence: 99%
“…Some existing models focus on identifying the evolution of the building stock itself, either historically (Aksözen et al, 2017;Kleemann et al, 2016;Reyna & Chester, 2014) or by discussing potential future evolution (Lausselet et al, 2020;Olaya et al, 2017;Sandberg et al, 2016). Yet, the majority focus on estimating material or energy flows (Heeren & Hellweg, 2018;Kleemann et al, 2016;Lausselet et al, 2020Lausselet et al, , 2022Marinova et al, 2020;Reyna & Chester, 2014;Sandberg et al, 2017Sandberg et al, , 2021Stephan & Athanassiadis, 2017). Moreover, some models include environmental aspects either by introducing an intensity factor, such as CO 2 -eq per m 2 (Lausselet et al, 2022;Reyna & Chester, 2014;Stephan & Athanassiadis, 2017), or by coupling the model with a life cycle assessment (LCA) (Heeren & Hellweg, 2018).…”
mentioning
confidence: 99%
“…Yet, the majority focus on estimating material or energy flows (Heeren & Hellweg, 2018;Kleemann et al, 2016;Lausselet et al, 2020Lausselet et al, , 2022Marinova et al, 2020;Reyna & Chester, 2014;Sandberg et al, 2017Sandberg et al, , 2021Stephan & Athanassiadis, 2017). Moreover, some models include environmental aspects either by introducing an intensity factor, such as CO 2 -eq per m 2 (Lausselet et al, 2022;Reyna & Chester, 2014;Stephan & Athanassiadis, 2017), or by coupling the model with a life cycle assessment (LCA) (Heeren & Hellweg, 2018). However, a common characteristic of the existing models is the evident need for input data to estimate the dynamics of the building stock and the resulting development of elementary flows.…”
mentioning
confidence: 99%