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To Represent Electr...
To Represent Electric Vehicles in Electricity Systems Modelling-Aggregated Vehicle Representation vs. Individual Driving Profiles
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- Taljegård, Maria, 1988 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Goransson, Lisa (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Odenberger, Mikael, 1977 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Johnsson, Filip, 1960 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2021-01-21
- 2021
- English.
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In: Energies. - : MDPI AG. - 1996-1073 .- 1996-1073. ; 14:3
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Abstract
Subject headings
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- This study describes, applies, and compares three different approaches to integrate electric vehicles (EVs) in a cost-minimising electricity system investment model and a dispatch model. The approaches include both an aggregated vehicle representation and individual driving profiles of passenger EVs. The driving patterns of 426 randomly selected vehicles in Sweden were recorded between 30 and 73 days each and used as input to the electricity system model for the individual driving profiles. The main conclusion is that an aggregated vehicle representation gives similar results as when including individual driving profiles for most scenarios modelled. However, this study also concludes that it is important to represent the heterogeneity of individual driving profiles in electricity system optimisation models when: (i) charging infrastructure is limited to only the home location in regions with a high share of solar and wind power in the electricity system, and (ii) when addressing special research issues such as impact of vehicle-to-grid (V2G) on battery health status. An aggregated vehicle representation will, if the charging infrastructure is limited to only home location, over-estimate the V2G potential resulting in a higher share (up to 10 percentage points) of variable renewable electricity generation and an under-estimation of investments in both short- and long-term storage technologies.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
Keyword
- method
- variability management
- energy storage
- smart charging
- vehicle-to-grid
- energy system modelling
Publication and Content Type
- art (subject category)
- ref (subject category)
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