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On the discrepancy of using annual or hourly emission factors for power generation to estimate CO2 reduction of building retrofitting
Utrecht University, Netherlands; Inside Out Technologies, Netherlands.ORCID iD: 0000-0002-4177-1309
RISE Research Institutes of Sweden, Built Environment, Building and Real Estate.ORCID iD: 0000-0003-2402-1845
University of Gotherburg, Sweden.
CERTH Information Technologies Institute Centre for Research and Technology Hellas, Greece.
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2024 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 319, article id 114499Article in journal (Refereed) Published
Abstract [en]

Buildings play a significant role in global carbon emissions, and offer substantial potential for energy savings and emission reduction. This research delves into the Emission Factor Discrepancy (EFD)—the variance in CO2 emission reduction projections obtained by employing either annual or hourly average Emission Factor (EF) for electricity generation. Through two detailed case studies in the Netherlands and incorporating emission data from the Netherlands, Sweden, and France, the study uncovers the potential magnitude and country-specific variability of the EFD. By demonstrating how the energy mix of a country influences the EFD, the research offers valuable insights into the accuracy of emission calculations for different circumstances, particularly in the context of transitioning to renewable energy sources. We have found that countries with energy sources having low load-following capability and low EFs exhibit a large EFD. Whereas, countries with high EFs and large deployment of Photovoltaics (PV) show a notably large EFD on emission reduction related to PV production. This highlights the importance of carefully selecting EFs when evaluating building retrofits in the context of smart city initiatives. This research highlights the need for establishing a uniform framework for calculating carbon emissions associated with retrofitting in buildings in conjunction with the granularity of data and the specific energy mix of a country. 

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 319, article id 114499
Keywords [en]
Buildings, Carbon, Carbon dioxide, Electric loads, Energy conservation, Environmental impact assessments, Gas emissions, Power generation, Renewable energy, Retrofitting, Smart city, Building retrofitting, CO 2 emission, CO2 emission reduction, Electricity-generation, Emission factors, Emission reduction, Load-following capabilities, Residential building, Smart city project, Temporal resolution, Emission control
National Category
Energy Engineering Energy Systems
Identifiers
URN: urn:nbn:se:ri:diva-74701DOI: 10.1016/j.enbuild.2024.114499Scopus ID: 2-s2.0-85198267448OAI: oai:DiVA.org:ri-74701DiVA, id: diva2:1887899
Funder
EU, Horizon 2020, GA No. 774199
Note

This work is in part financially supported by Netherlands Enterprise Agency (RVO), projects Inside-Out 1-2-3 (TKITOE1407302, TEUE318005) and the European Commission in the framework of the Horizon 2020 project IRIS (GA No. 774199). We are thankful to Arno Peekel, Rogier Bos, Paul Das and Joris van den Heiligenberg, for their support within the IRIS project.

Available from: 2024-08-09 Created: 2024-08-09 Last updated: 2025-09-23Bibliographically approved

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Schade, Jutta

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