Urban-scale energy matching optimization with smart EV charging and V2G in a net-zero energy city powered by wind and solar energy [Elektronisk resurs]
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Fachrizal, Reza, 1993- (författare)
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Qian, Kun (författare)
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Lindberg, Oskar (författare)
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Shepero, Mahmoud, 1992- (författare)
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Adam, Rebecca (författare)
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Widén, Joakim, 1980- (författare)
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Munkhammar, Joakim, 1982- (författare)
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Built Environment Energy Systems Group (medarbetare)
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Centre for Industrial Electronics (medarbetare)
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Built Environment Energy Systems Group (medarbetare)
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Built Environment Energy Systems Group (medarbetare)
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Centre for Industrial Electronics (medarbetare)
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Built Environment Energy Systems Group (medarbetare)
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Built Environment Energy Systems Group (medarbetare)
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Uppsala universitet Teknisk-naturvetenskapliga vetenskapsområdet (utgivare)
- Publicerad: Elsevier, 2024
- Engelska.
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Ingår i: eTransportation. ; 20
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Sammanfattning
Ämnesord
Stäng
- Renewable energy sources (RES) and electric vehicles (EVs) are two promising technologies that are widely recognized as key components for achieving sustainable cities. However, intermittent RES generation and increased peak load due to EV charging can pose technical challenges for the power systems. Many studies have shown that improved load matching through energy system optimization can minimize these challenges. This paper assesses the optimal urban-scale energy matching potentials in a net-zero energy city powered by wind and solar energy, considering three EV charging scenarios: opportunistic charging, smart charging, and vehicle-to-grid (V2G). This paper takes a city on the west coast of Sweden as a case study. The smart charging and V2G schemes in this study aim to minimize the mismatch between generation and load and are formulated as quadratic programming problems. Results show that the optimal load matching performance is achieved in a net-zero energy city with the V2G scheme and a wind-PV electricity production share of 70:30. The load matching performance is increased from 68% in the opportunistic charging scenario to 73% in the smart charging scenario and to 84% in the V2G scenario. It is also shown that a 2.4 GWh EV battery participating in the V2G scheme equals 1.4 GWh stationary energy storage in improving urban-scale load matching performance. The findings in this paper indicate a high potential from EV flexibility in improving urban energy system performance.
Ämnesord
- Engineering and Technology (hsv)
- Environmental Engineering (hsv)
- Energy Systems (hsv)
- Teknik och teknologier (hsv)
- Naturresursteknik (hsv)
- Energisystem (hsv)
- Mechanical Engineering (hsv)
- Energy Engineering (hsv)
- Maskinteknik (hsv)
- Energiteknik (hsv)
- Civil Engineering (hsv)
- Infrastructure Engineering (hsv)
- Samhällsbyggnadsteknik (hsv)
- Infrastrukturteknik (hsv)
- Electrical Engineering, Electronic Engineering, Information Engineering (hsv)
- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv)
- Elektroteknik och elektronik (hsv)
- Annan elektroteknik och elektronik (hsv)
- Engineering Science with specialization in Civil Engineering and Built Environment (uu)
- Teknisk fysik med inriktning mot byggteknik och byggd miljö (uu)
Genre
- government publication (marcgt)
Indexterm och SAB-rubrik
- electric vehicle smart charging
- vehicle-to-grid
- wind energy
- solar energy
- urban energy system
- net zero energy
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