Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Urban-scale energy matching optimization with smart EV charging and V2G in a net-zero energy city powered by wind and solar energy
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0003-4191-3570
University of Southern Denmark. (Centre for Industrial Electronics)ORCID iD: 0000-0002-6765-9446
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0003-3757-6815
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0001-6292-0695
Show others and affiliations
2024 (English)In: eTransporation, E-ISSN 2590-1168, Vol. 20, article id 100314Article in journal (Refereed) Published
Abstract [en]

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. 

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 20, article id 100314
Keywords [en]
electric vehicle smart charging, vehicle-to-grid, wind energy, solar energy, urban energy system, net zero energy
National Category
Energy Systems Energy Engineering Infrastructure Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Civil Engineering and Built Environment
Identifiers
URN: urn:nbn:se:uu:diva-499940DOI: 10.1016/j.etran.2024.100314ISI: 001167603900001OAI: oai:DiVA.org:uu-499940DiVA, id: diva2:1749060
Funder
Swedish Energy Agency, 49421-1Swedish Energy Agency, 50986-1ÅForsk (Ångpanneföreningen's Foundation for Research and Development), 23-397SOLVEStandUpInterreg, 38-2-8-19
Note

De två första författarna delar förstaförfattarskapet

Available from: 2023-04-05 Created: 2023-04-05 Last updated: 2024-03-15Bibliographically approved
In thesis
1. Synergy between Photovoltaic Power Generation and Electric Vehicle Charging in Urban Energy Systems: Optimization Models for Smart Charging and Vehicle-to-Grid
Open this publication in new window or tab >>Synergy between Photovoltaic Power Generation and Electric Vehicle Charging in Urban Energy Systems: Optimization Models for Smart Charging and Vehicle-to-Grid
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Cities are responsible for around 75% of global primary energy use and 70% of global greenhouse gas (GHG) emissions, with buildings and urban mobility being two key contributors. Actions to reduce GHG emissions have been promoted and implemented in many countries in the world. These include switching to electric vehicles (EVs) and renewable energy sources (RES), such as solar photovoltaics (PV). The transition has led to rapid increase in EV and PV adoption worldwide in the recent decades. However, large-scale integration of EVs and PV in urban energy systems poses new challenges such as increased peak loads, power mismatch, component overloading, and voltage violations. Improved synergy between EVs, PV and other loads can overcome these challenges. Coordinated charging of EVs, or so-called EV smart charging, is potentially a promising solution to improve the synergy. The synergy can be further enhanced with vehicle-to-grid (V2G) schemes, where an EV can not only charge, but also discharge power from its battery. 

This doctoral thesis investigates the synergy between EV charging and PV power generation with the application of EV smart charging and V2G schemes. The investigation was carried out through simulation studies on the system levels of residential buildings, workplaces, distribution grid, and city-scale. Smart charging and V2G optimization models with an objective to reduce the net-load (load minus generation) variability were developed and simulated. 

The results show that the PV-EV synergy can be improved with the proposed smart charging schemes. However, the levels of improvement depend highly on the user mobility behavior from and to the destined charging locations. PV-EV synergy is limited in residential buildings due to low EV occupancy during high solar power production, but has high potential at workplace charging stations due to high EV occupancy during the same time. In the case studies presented in this thesis, it was found that the implementation of smart charging can improve the synergy by up to around 9 percentage points in residential buildings and up to around 40 percentage points in workplaces. On a city-scale level, both optimal sizing and V2G play essential roles in improving city-scale generation-load synergy, as they can increase the load matching from 33% to 84%. The results also show that improved synergy leads to enhanced power grid performance and combined PV-EV grid hosting capacity.

In conclusion, the thesis demonstrates that EV smart charging schemes can improve PV-EV synergy, leading to enhanced performance of urban energy systems.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2023. p. 110
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2260
Keywords
Electric Vehicles, Photovoltaics, Smart Charging, Vehicle-to-Grid, Urban Energy Systems, Load Matching, Self-Consumption, Optimization
National Category
Energy Systems Energy Engineering
Research subject
Engineering Science with specialization in Civil Engineering and Built Environment
Identifiers
urn:nbn:se:uu:diva-499947 (URN)978-91-513-1787-8 (ISBN)
Public defence
2023-06-02, Heinz-Otto Kreiss, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (English)
Opponent
Supervisors
Funder
SOLVE
Available from: 2023-05-05 Created: 2023-04-07 Last updated: 2023-09-12

Open Access in DiVA

fulltext(3748 kB)438 downloads
File information
File name FULLTEXT01.pdfFile size 3748 kBChecksum SHA-512
6d74d46d26b75dd93c96e118a8f218f0ca0436354cd819f921d389364b7697655ba36f0b9a781050260af97240d15e112f47162e66d29092602e7c14dfe5b557
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Fachrizal, RezaLindberg, OskarShepero, MahmoudWidén, JoakimMunkhammar, Joakim

Search in DiVA

By author/editor
Fachrizal, RezaQian, KunLindberg, OskarShepero, MahmoudAdam, RebeccaWidén, JoakimMunkhammar, Joakim
By organisation
Civil Engineering and Built Environment
In the same journal
eTransporation
Energy SystemsEnergy EngineeringInfrastructure EngineeringOther Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 439 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 916 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf