Energy Efficiency and GHG Emissions Mapping of Buildings for Decision-Making Processes against Climate Change at the Local Level
Edgar Lorenzo-Sáez,
José-Vicente Oliver-Villanueva,
Eloina Coll-Aliaga,
Lenin-Guillermo Lemus-Zúñiga,
Victoria Lerma-Arce and
Antonio Reig-Fabado
Additional contact information
Edgar Lorenzo-Sáez: ICT against Climate Change Research Group, ITACA—Information and Telecommunication Research Institute, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
José-Vicente Oliver-Villanueva: ICT against Climate Change Research Group, ITACA—Information and Telecommunication Research Institute, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
Eloina Coll-Aliaga: ICT against Climate Change Research Group, ITACA—Information and Telecommunication Research Institute, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
Lenin-Guillermo Lemus-Zúñiga: ICT against Climate Change Research Group, ITACA—Information and Telecommunication Research Institute, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
Victoria Lerma-Arce: ICT against Climate Change Research Group, ITACA—Information and Telecommunication Research Institute, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
Antonio Reig-Fabado: Department of Applied Physics, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
Sustainability, 2020, vol. 12, issue 7, 1-17
Abstract:
Buildings have become a key source of greenhouse gas (GHG) emissions due to the consumption of primary energy, especially when used to achieve thermal comfort conditions. In addition, buildings play a key role for adapting societies to climate change by achieving more energy efficiency. Therefore, buildings have become a key sector to tackle climate change at the local level. However, public decision-makers do not have tools with enough spatial resolution to prioritise and focus the available resources and efforts in an efficient manner. The objective of the research is to develop an innovative methodology based on a geographic information system (GIS) for mapping primary energy consumption and GHG emissions in buildings in cities according to energy efficiency certificates. The developed methodology has been tested in a representative medium-sized city in Spain, obtaining an accurate analysis that shows 32,000 t of CO 2 emissions due to primary energy consumption of 140 GWh in residential buildings with high spatial resolution at single building level. The obtained results demonstrate that the majority of residential buildings have low levels of energy efficiency and emit an average of 45 kg CO 2 /m 2 . Compared to the national average in Spain, this obtained value is on the average, while it is slightly better at the regional level. Furthermore, the results obtained demonstrate that the developed methodology is able to directly identify city districts with highest potential for improving energy efficiency and reducing GHG emissions. Additionally, a data model adapted to the INSPIRE regulation has been developed in order to ensure interoperability and European-wide application. All these results have allowed the local authorities to better define local strategies towards a low-carbon economy and energy transition. In conclusion, public decision-makers will be supported with an innovative and user-friendly GIS-based methodology to better define local strategies towards a low-carbon economy and energy transition in a more efficient and transparent way based on metrics of high spatial resolution and accuracy.
Keywords: energy efficiency; buildings; GHG emissions; climate change; GIS; INSPIRE directive; decision-making tool (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.mdpi.com/2071-1050/12/7/2982/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/7/2982/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:7:p:2982-:d:342995
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().