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

Authors :
Li, Yang
Feng, Haibo
Source :
Buildings (2075-5309); May2023, Vol. 13 Issue 5, p1205, 12p
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20755309
Volume :
13
Issue :
5
Database :
Complementary Index
Journal :
Buildings (2075-5309)
Publication Type :
Academic Journal
Accession number :
163938542
Full Text :
https://doi.org/10.3390/buildings13051205