Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems
Since the first release of modern electric vehicles, researchers and policy makers have shown interest in the deployment and utilization of charging infrastructure. Despite the sheer volume of literature, limited attention has been paid to the characteristics and variance of charging behavior of EV...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/13/3/44 |
| _version_ | 1797440760780423168 |
|---|---|
| author | Jurjen Helmus Mike Lees Robert van den Hoed |
| author_facet | Jurjen Helmus Mike Lees Robert van den Hoed |
| author_sort | Jurjen Helmus |
| collection | DOAJ |
| description | Since the first release of modern electric vehicles, researchers and policy makers have shown interest in the deployment and utilization of charging infrastructure. Despite the sheer volume of literature, limited attention has been paid to the characteristics and variance of charging behavior of EV users. In this research, we answer the question: which scientific approaches can help us to understand the dynamics of charging behavior in charging infrastructures, in order to provide recommendations regarding a more effective deployment and utilization of these infrastructures. To do so, we propose a conceptual model for charging infrastructure as a social supply–demand system and apply complex system properties. Using this conceptual model, we estimate the rate complexity, using three developed ratios that relate to the (1) necessity of sharing resources, (2) probabilities of queuing, and (3) cascading impact of transactions on others. Based on a qualitative assessment of these ratios, we propose that public charging infrastructure can be characterized as a complex system. Based on our findings, we provide four recommendations to policy makers for taking efforts to reduce complexity during deployment and measure interactions between EV users using systemic metrics. We further point researchers and policy makers to agent-based simulation models that capture interactions between EV users and the use complex network analysis to reveal weak spots in charging networks or compare the charging infrastructure layouts of across cities worldwide. |
| first_indexed | 2024-03-09T12:12:59Z |
| format | Article |
| id | doaj.art-8ffa5d63a31c486e93ff12aed5643d48 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-09T12:12:59Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-8ffa5d63a31c486e93ff12aed5643d482023-11-30T22:50:19ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-02-011334410.3390/wevj13030044Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand SystemsJurjen Helmus0Mike Lees1Robert van den Hoed2Computational Science Lab, University of Amsterdam, 1098XH Amsterdam, The NetherlandsComputational Science Lab, University of Amsterdam, 1098XH Amsterdam, The NetherlandsCenter of Expertise Urban Technology, Amsterdam University of Applied Sciences, 1097DZ Amsterdam, The NetherlandsSince the first release of modern electric vehicles, researchers and policy makers have shown interest in the deployment and utilization of charging infrastructure. Despite the sheer volume of literature, limited attention has been paid to the characteristics and variance of charging behavior of EV users. In this research, we answer the question: which scientific approaches can help us to understand the dynamics of charging behavior in charging infrastructures, in order to provide recommendations regarding a more effective deployment and utilization of these infrastructures. To do so, we propose a conceptual model for charging infrastructure as a social supply–demand system and apply complex system properties. Using this conceptual model, we estimate the rate complexity, using three developed ratios that relate to the (1) necessity of sharing resources, (2) probabilities of queuing, and (3) cascading impact of transactions on others. Based on a qualitative assessment of these ratios, we propose that public charging infrastructure can be characterized as a complex system. Based on our findings, we provide four recommendations to policy makers for taking efforts to reduce complexity during deployment and measure interactions between EV users using systemic metrics. We further point researchers and policy makers to agent-based simulation models that capture interactions between EV users and the use complex network analysis to reveal weak spots in charging networks or compare the charging infrastructure layouts of across cities worldwide.https://www.mdpi.com/2032-6653/13/3/44charging infrastructurecomplex systemscomplex networksmodelling |
| spellingShingle | Jurjen Helmus Mike Lees Robert van den Hoed Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems World Electric Vehicle Journal charging infrastructure complex systems complex networks modelling |
| title | Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems |
| title_full | Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems |
| title_fullStr | Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems |
| title_full_unstemmed | Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems |
| title_short | Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems |
| title_sort | understanding complexity in charging infrastructure through the lens of social supply demand systems |
| topic | charging infrastructure complex systems complex networks modelling |
| url | https://www.mdpi.com/2032-6653/13/3/44 |
| work_keys_str_mv | AT jurjenhelmus understandingcomplexityincharginginfrastructurethroughthelensofsocialsupplydemandsystems AT mikelees understandingcomplexityincharginginfrastructurethroughthelensofsocialsupplydemandsystems AT robertvandenhoed understandingcomplexityincharginginfrastructurethroughthelensofsocialsupplydemandsystems |