Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model
In light of the drawbacks of using fossil fuel, this paper investigates the competition between geographically spread charge point operators for future battery electric long-haul trucks along one of the busiest highways in Sweden. This is achieved using an agent-based model where trucks try to charg...
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2025-05-01
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| Online Access: | https://www.mdpi.com/1996-1073/18/10/2453 |
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| author | Johannes Karlsson Susanne Pettersson Anders Grauers |
| author_facet | Johannes Karlsson Susanne Pettersson Anders Grauers |
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| description | In light of the drawbacks of using fossil fuel, this paper investigates the competition between geographically spread charge point operators for future battery electric long-haul trucks along one of the busiest highways in Sweden. This is achieved using an agent-based model where trucks try to charge for a low price and still avoid queues in order to complete their transport mission. The charging need for a typical day at full electrification is derived from data from the Swedish Transport Administration. This typical day is simulated several times and in between these iterations the charge point operators adjust their prices and number of chargers, aiming to increase their profit. After a sufficiently long time of competition, a quasi-equilibrium is reached where, for example, prices and queueing times can be studied. The goal of the study is to estimate conditions for trucks and charge point operators in a future public fast-charging market. Assuming a price for electricity of 0.08 EUR/kWh, the results indicate that a system with low queuing problems is attainable with a mean price of 0.27 EUR/kWh or lower for public fast charging. It is also found that the behaviour of haulage companies, as a collective, can affect the future fast charging market to a great extent. If the hauliers are price-sensitive, they will be offered a low mean price, down to 0.11 EUR/kWh, but with queues, while if they are queue-sensitive, there will be almost no queues, but they will pay more to charge. |
| format | Article |
| id | doaj-art-e5c64d86d99c44b8925dbdc5df9620fc |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj-art-e5c64d86d99c44b8925dbdc5df9620fc2025-08-20T02:33:59ZengMDPI AGEnergies1996-10732025-05-011810245310.3390/en18102453Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based ModelJohannes Karlsson0Susanne Pettersson1Anders Grauers2Department of Electrical Engineering, Chalmers University of Technology, SE 412 96 Gothenburg, SwedenDepartment of Electrical Engineering, Chalmers University of Technology, SE 412 96 Gothenburg, SwedenDepartment of Electrical Engineering, Chalmers University of Technology, SE 412 96 Gothenburg, SwedenIn light of the drawbacks of using fossil fuel, this paper investigates the competition between geographically spread charge point operators for future battery electric long-haul trucks along one of the busiest highways in Sweden. This is achieved using an agent-based model where trucks try to charge for a low price and still avoid queues in order to complete their transport mission. The charging need for a typical day at full electrification is derived from data from the Swedish Transport Administration. This typical day is simulated several times and in between these iterations the charge point operators adjust their prices and number of chargers, aiming to increase their profit. After a sufficiently long time of competition, a quasi-equilibrium is reached where, for example, prices and queueing times can be studied. The goal of the study is to estimate conditions for trucks and charge point operators in a future public fast-charging market. Assuming a price for electricity of 0.08 EUR/kWh, the results indicate that a system with low queuing problems is attainable with a mean price of 0.27 EUR/kWh or lower for public fast charging. It is also found that the behaviour of haulage companies, as a collective, can affect the future fast charging market to a great extent. If the hauliers are price-sensitive, they will be offered a low mean price, down to 0.11 EUR/kWh, but with queues, while if they are queue-sensitive, there will be almost no queues, but they will pay more to charge.https://www.mdpi.com/1996-1073/18/10/2453battery electric truckcharger utilisationcharge point operator (CPO)long haulagent-based modelcompetition |
| spellingShingle | Johannes Karlsson Susanne Pettersson Anders Grauers Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model Energies battery electric truck charger utilisation charge point operator (CPO) long haul agent-based model competition |
| title | Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model |
| title_full | Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model |
| title_fullStr | Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model |
| title_full_unstemmed | Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model |
| title_short | Competition Between Geographically Spread Charge Point Operators for Battery Electric Trucks—Estimations of Prices and Queues with an Agent-Based Model |
| title_sort | competition between geographically spread charge point operators for battery electric trucks estimations of prices and queues with an agent based model |
| topic | battery electric truck charger utilisation charge point operator (CPO) long haul agent-based model competition |
| url | https://www.mdpi.com/1996-1073/18/10/2453 |
| work_keys_str_mv | AT johanneskarlsson competitionbetweengeographicallyspreadchargepointoperatorsforbatteryelectrictrucksestimationsofpricesandqueueswithanagentbasedmodel AT susannepettersson competitionbetweengeographicallyspreadchargepointoperatorsforbatteryelectrictrucksestimationsofpricesandqueueswithanagentbasedmodel AT andersgrauers competitionbetweengeographicallyspreadchargepointoperatorsforbatteryelectrictrucksestimationsofpricesandqueueswithanagentbasedmodel |