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Open AccessArticle

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

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Faculty of Civil and Environmental Engineering and Architecture, UTP University of Science and Technology, ul. prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland
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Faculty of Civil Engineering, Architecture and Environmental Engineering, University of Zielona Góra, ul. prof. Z. Szafrana 1, 65-516 Zielona Góra, Poland
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Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(2), 259; https://doi.org/10.3390/rs12020259
Received: 18 December 2019 / Revised: 7 January 2020 / Accepted: 9 January 2020 / Published: 11 January 2020
(This article belongs to the Special Issue Renewable Energy Mapping)
Improving in the energy efficiency of urban buildings, and maximizing the savings and the resulting benefits require information support from city decision-makers, planners, and designers. The selection of the appropriate analytical methods will allow them to make optimal design and location decisions. Therefore, the research problem of this article is the development of an innovative decision support system using multi-criteria analysis and Geographic Information Systems (decision support system + Geographic Information Systems = DGIS) for planning urban development. The proposed decision support system provides information to energy consumers about the location of energy efficiency improvement potential. This potential has been identified as the possibility of introducing low-energy buildings and the use of renewable energy sources. DGIS was tested in different construction areas (categories: A, B, C, D), Zielona Góra quarters. The results showed which area among the 53 quarters with a separate dominant building category was the most favorable for increasing energy efficiency, and where energy efficiency could be improved by investing in renewable energy sources, taking into account the decision-maker. The proposed DGIS system can be used by local decision-makers, allowing better action to adapt cities to climate change and to protect the environment. This approach is part of new data processing strategies to build the most favorable energy scenarios in urban areas. View Full-Text
Keywords: energy efficiency of buildings; energy potential; renewable energy sources; Geographic Information System; multi-criteria analysis; smart city; urban analysis energy efficiency of buildings; energy potential; renewable energy sources; Geographic Information System; multi-criteria analysis; smart city; urban analysis
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Sztubecka, M.; Skiba, M.; Mrówczyńska, M.; Bazan-Krzywoszańska, A. An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas. Remote Sens. 2020, 12, 259.

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