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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.24101 |
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| _version_ | 1866911346680922112 |
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| author | Nicolas, Rößler Irfan, Khan Thomas, Schade Christoph, Wellmann Xinyuan, Cao Milan, Kopynske Feihong, Xia Rene, Savelsberg Jakob, Andert |
| author_facet | Nicolas, Rößler Irfan, Khan Thomas, Schade Christoph, Wellmann Xinyuan, Cao Milan, Kopynske Feihong, Xia Rene, Savelsberg Jakob, Andert |
| contents | This paper investigates the economic and technical feasibility of integrating Vehicle-to-Grid (V2G) technology in the Non-Road Mobile Machinery (NRMM) sector. These often-idling assets, with their substantial battery capacities, present a unique opportunity to participate in energy markets, providing grid services and generating additional revenue. A novel methodology is introduced that integrates Bayesian Optimization (BO) to optimize the energy infrastructure together with an operating strategy optimization to reduce the electricity costs while enhancing grid interaction. While the focus lies on the methodology, the financial opportunities for the use-case of an electric NRMM rental service will be presented. However, the study is limited by the availability of real-world data on the usage of electric NRMM and does not address regulatory challenges of V2G. Further research is needed to extend the model accuracy and validate these findings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_24101 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Economic and Technical Feasibility of V2G in Non-Road Mobile Machinery sector Nicolas, Rößler Irfan, Khan Thomas, Schade Christoph, Wellmann Xinyuan, Cao Milan, Kopynske Feihong, Xia Rene, Savelsberg Jakob, Andert Systems and Control This paper investigates the economic and technical feasibility of integrating Vehicle-to-Grid (V2G) technology in the Non-Road Mobile Machinery (NRMM) sector. These often-idling assets, with their substantial battery capacities, present a unique opportunity to participate in energy markets, providing grid services and generating additional revenue. A novel methodology is introduced that integrates Bayesian Optimization (BO) to optimize the energy infrastructure together with an operating strategy optimization to reduce the electricity costs while enhancing grid interaction. While the focus lies on the methodology, the financial opportunities for the use-case of an electric NRMM rental service will be presented. However, the study is limited by the availability of real-world data on the usage of electric NRMM and does not address regulatory challenges of V2G. Further research is needed to extend the model accuracy and validate these findings. |
| title | Economic and Technical Feasibility of V2G in Non-Road Mobile Machinery sector |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2512.24101 |