Optimizing surplus wind energy for sustainable electric vehicle charging - an innovative business model approach
The growing need for sustainable energy solutions has highlighted the importance of integrating renewable energy sources, such as wind power, into existing infrastructures. However, the challenge lies in optimizing the use of surplus wind energy, which is often available when demand is low. This the...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/419806 |
| Acceso en línea: | https://hdl.handle.net/2117/419806 |
| Access Level: | acceso abierto |
| Palabra clave: | Renewable energy sources Automobile industry and trade Wind power Electric vehicles Energies renovables Automòbils--Indústria i comerç Energia eòlica Vehicles elèctrics Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament sostenible::Energia i sostenibilitat |
| Sumario: | The growing need for sustainable energy solutions has highlighted the importance of integrating renewable energy sources, such as wind power, into existing infrastructures. However, the challenge lies in optimizing the use of surplus wind energy, which is often available when demand is low. This thesis addresses this challenge by developing a predictive model that optimizes surplus wind energy for electric vehicle (EV) charging, with a focus on creating a dynamic pricing mechanism to align charging sessions with renewable energy availability. The objective of this research is to reduce reliance on grid electricity by efficiently utilizing surplus wind energy for EV charging. To achieve this, the project employs real-world data on wind energy production, electricity spot prices, and user charging behaviours to construct a model that prioritizes EV charging during periods of energy surplus. The model differentiates between flexible and urgent users, employing a pricing strategy that incentivizes flexible users to charge during off-peak and surplus periods. The research also explores the economic and environmental benefits of this system, with a particular focus on the financial gains for wind energy producers and the cost savings for EV users. Additionally, the integration of surplus wind energy into the charging infrastructure is analysed from an environmental perspective, highlighting its potential to reduce carbon emissions and contribute to the global transition toward clean energy. By demonstrating the feasibility and scalability of the model, this thesis contributes to the broader discussion on renewable energy integration in the transportation sector. The findings offer a pathway for optimizing renewable energy usage while providing tangible economic and environmental benefits. The work concludes with recommendations for future improvements, including the potential integration of real-time data and vehicle-to-grid (V2G) technology. |
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