Quantifying electricity-related carbon emission factors of low-emission neighborhoods: A comparison of different methods

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Authors: Petry Kristine Nøttum Haaland, Viviane Aubin, Magnus Korpås
Cited by: 0
References: 29

Abstract

• Calculation method for emission factors impacts renewable energy design and land use. • Chosen calculation method gives biases towards specific technologies. • Yearly resolution can overstate emission compensation and miss daily dynamics. • High emission factors increase emissions but reduce renewable energy source capacity. • Geographic scope affects feasibility and scale of renewable energy capacity. Buildings currently account for over 30% of final energy use and 19% of European energy-related greenhouse gas (GHG) emissions, making reductions in this sector highly significant. Zero Emission Buildings (ZEBs) and Zero Emission Neighborhoods (ZENs) have emerged as a potential solution. They aim to achieve net-zero emissions by offsetting embodied emissions through power export from local renewable energy sources (RES), typically solar photovoltaic (PV). While accounting for material-related emissions follows well-established standards, emissions caused by electricity demand remain challenging to quantify. This paper investigates various methods for quantifying emissions linked to energy consumption and local production in a ZEN. We also examine how different time resolutions and geographical scopes impact the final outcomes. We test these calculation approaches on a ZEN case study, exploring how they influence the required investments in local RES. Our results indicate very large variations across emission factor methods and the potential for biases towards specific technologies depending on the methodological choices. In order to ensure that ZENs actually contribute to limiting GHG emissions, we recommend that the approach for calculating emission factors be region-specific and adjustable over time.

Fields of Study & Subjects

Environmental Impact and Sustainability Building Energy and Comfort Optimization Integrated Energy Systems Optimization

Publication details

Journal / source
Energy and Buildings
Volume
355
Pages
117032–117032
Publication date
19 January 2026
Language
EN