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Decarbonization strategies for Switzerland considering embedded greenhouse gas emissions in electricity imports
Abstract
Decarbonizing the energy system by electrification of heat and transport is only effective when using low-carbon electricity sources. As many countries such as Switzerland rely on imported electricity to meet their demand, the greenhouse gas (GHG) content of electricity imports must be correctly accounted for. By assuming an average GHG content for each amount imported, impacts of electricity required in peak periods are underestimated because additional (marginal) demand is primarily met with fossil power plants. This study employs a model to capture marginal GHG contents of imported electricity from a direct and indirect (life-cycle) perspective at an hourly resolution. Implications on GHG are explored for various electricity demand and supply scenarios including electrification of heat and transport, large-scale expansion of renewables, and nuclear phase-out. We find that depending on the scenario, the average GHG intensity of consumed electricity may double, while diurnal and seasonal variations are even larger. Nonetheless, results show substantial GHG mitigation of up to 45% with electrification in case of deploying a diversified electricity generation portfolio including photovoltaics and wind. For optimal GHG mitigation, short-term flexibility as provided by hydropower is necessary to manage electricity surpluses. The main challenge, however, surrounds seasonal energy storage including sector coupling.
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“For the carbon footprint of the current map (not produced with AWS), we estimate ≈ 729 kg CO2-equivalent, using an average of 108 g CO2-equivalent kWh−1 for Switzerland, as reported for the year 201760.”
From A high-resolution canopy height model of the Earth (2023) · cites this paper as [60]
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Net emission reductions from electric cars and heat pumps in 59 world regions over time
Knobloch, F., Hanssen, S. V., Lam, A., Pollitt, H., Salas, P., Chewpreecha, U., Huijbregts, M. A. J., & Mercure, J.-F. (2020) · Nature Sustainability · doi:10.1038/s41893-020-0488-7 · Cited by 407
Rüdisüli, M., Teske, S. L., & Elber, U. (2019) · Energies · doi:10.3390/en12122399 · Cited by 37
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Research works printed but not linked: 25
- Antweiler, 2016, Cross-border trade in electricity, J. Int. Econ., 101, 42, 10.1016/j.jinteco.2016.03.007 · DOI
- Bettle, 2006, Interactions between electricity-saving measures and carbon emissions from power generation in England and Wales, Energy Pol., 34, 3434, 10.1016/j.enpol.2005.07.014 · DOI
- Brockway, 2018, Emissions reduction potential from electric heat pumps in California homes, Electr. J., 31, 44, 10.1016/j.tej.2018.10.012 · DOI
- Chaudry, 2015, Uncertainties in decarbonising heat in the UK, Energy Pol., 87, 623, 10.1016/j.enpol.2015.07.019 · DOI
- Díaz Redondo, 2015, Modelling the energy future of Switzerland after the phase out of nuclear power plants, Energy Proc., 76, 49, 10.1016/j.egypro.2015.07.843 · DOI
- Eggimann, 2020, How weather affects energy demand variability in the transition towards sustainable heating, Energy, 195, 116947, 10.1016/j.energy.2020.116947 · DOI
- Hawkes, 2010, Estimating marginal CO2 emissions rates for national electricity systems, Energy Pol., 38, 5977, 10.1016/j.enpol.2010.05.053 · DOI
- Jochem, 2015, Assessing CO2 emissions of electric vehicles in Germany in 2030, Transport. Res. Part A Policy Pract, 78, 68, 10.1016/j.tra.2015.05.007 · DOI · Paper page
- Küng, 2018, Decarbonizing passenger cars using different powertrain technologies: optimal fleet composition under evolving electricity supply, Transport. Res. C Emerg. Technol., 95, 785, 10.1016/j.trc.2018.09.003 · DOI
- Luickx, 2008, Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect: comparison between Belgium, France, Germany and The Netherlands, Renew. Sustain. Energy Rev., 12, 2140, 10.1016/j.rser.2007.01.030 · DOI
- Moro, 2018, Electricity carbon intensity in European Member States: impacts on GHG emissions of electric vehicles, Transport. Res. Transport Environ., 64, 5, 10.1016/j.trd.2017.07.012 · DOI · Paper page
- Mutschler, 2021, Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake, Appl. Energy, 288, 116636, 10.1016/j.apenergy.2021.116636 · DOI
- Narula, 2019, Strategies for decarbonising the Swiss heating system, Energy, 169, 1119, 10.1016/j.energy.2018.12.082 · DOI
- Pattupara, 2016, Alternative low-carbon electricity pathways in Switzerland and it's neighbouring countries under a nuclear phase-out scenario, Appl. Energy, 172, 152, 10.1016/j.apenergy.2016.03.084 · DOI
- Pimm, 2021, Using electricity storage to reduce greenhouse gas emissions, Appl. Energy, 282, 116199, 10.1016/j.apenergy.2020.116199 · DOI
- Piot, 2014, Bedeutung der Speicher-und Pumpspeicherkraftwerke für die Energiestrategie 2050 der Schweiz (Significance of storage and pumped storage power plants for Switzerland's 2050 energy strategy), Wasser, Energ. Luft, 4, 259
- Robinson, 2013, Analysis of electric vehicle driver recharging demand profiles and subsequent impacts on the carbon content of electric vehicle trips, Energy Pol., 61, 337, 10.1016/j.enpol.2013.05.074 · DOI
- Roux, 2016, Integrating climate change and energy mix scenarios in LCA of buildings and districts, Appl. Energy, 184, 619, 10.1016/j.apenergy.2016.10.043 · DOI
- Rüdisüli, 2022, Prospective life-cycle assessment of greenhouse gas emissions of electricity-based mobility options, Appl. Energy, 306, 118065, 10.1016/j.apenergy.2021.118065 · DOI
- Ruhnau, 2019, Direct or indirect electrification? A review of heat generation and road transport decarbonisation scenarios for Germany 2050, Energy, 166, 989, 10.1016/j.energy.2018.10.114 · DOI
- Tang, 2017, Random forest missing data algorithms, Stat. Anal. Data Min., 10, 363, 10.1002/sam.11348 · DOI
- Voorspools, 2006, Modelling of electricity generation of large interconnected power systems: how can a CO2 tax influence the European generation mix, Energy Convers. Manag., 47, 1338, 10.1016/j.enconman.2005.08.022 · DOI
- Vuarnoz, 2018, Temporal variations in the primary energy use and greenhouse gas emissions of electricity provided by the Swiss grid, Energy, 161, 573, 10.1016/j.energy.2018.07.087 · DOI
- Vuichard, 2019, Individual or collective? Community investment, local taxes, and the social acceptance of wind energy in Switzerland, Energy Res. Social Sci., 58, 101275, 10.1016/j.erss.2019.101275 · DOI
- Wernet, 2016, The ecoinvent database version 3 (part I): overview and methodology, Int. J. Life Cycle Assess., 21, 1218, 10.1007/s11367-016-1087-8 · DOI · Paper page
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A high-resolution canopy height model of the Earth
Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02206-6 · Cited by 810
Metadata
- Authors
- Rüdisüli, M., Romano, E., Eggimann, S., & Patel, M. K.
- ORCID
- Eggimann, Sven
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2022-03
- Volume
- 162
- Pages
- 112794
- ISSN
- 0301-4215
- Cited by
- 42
- References
- 2
- Language
- en
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