Automation and optimization of renewable domestic energy production and storage using electric vehicles
Manyonje, Francis Xavier (2023)
2023
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023121938312
https://urn.fi/URN:NBN:fi:amk-2023121938312
Tiivistelmä
Due to global energy challenges marked by soaring costs and supply uncertainties, this thesis explores alternative approaches to domestic energy conservation, emphasizing the transformative potential of Electric Vehicles (EVs) and Vehicle to Home (V2H) technology. Addressing critical issues in household energy supply, the thesis aims to provide insights into the possibility of automating and optimizing renewable energy generation and storage using EVs.
With a focus on developing sustainable energy systems, the study assesses this innovative approach's practicality and economic implications, examining its potential for cost reduction and continuous energy supply. Through a survey involving 70 participants with an 80% response rate, the study analyses the current energy landscape, EV awareness, and integration challenges and benefits.
Despite acknowledged obstacles, respondents are interested in EVs' innovative energy storage potential. Recommendations highlight the importance of supportive policies, awareness campaigns, and sustainable practices to facilitate the widespread adoption of automated and optimized EV integration in domestic renewable energy systems.
The study concludes that the proposed approach is feasible and offers positive economic and environmental outcomes, calling for future research to address adoption barriers and enhance efficiency.
With a focus on developing sustainable energy systems, the study assesses this innovative approach's practicality and economic implications, examining its potential for cost reduction and continuous energy supply. Through a survey involving 70 participants with an 80% response rate, the study analyses the current energy landscape, EV awareness, and integration challenges and benefits.
Despite acknowledged obstacles, respondents are interested in EVs' innovative energy storage potential. Recommendations highlight the importance of supportive policies, awareness campaigns, and sustainable practices to facilitate the widespread adoption of automated and optimized EV integration in domestic renewable energy systems.
The study concludes that the proposed approach is feasible and offers positive economic and environmental outcomes, calling for future research to address adoption barriers and enhance efficiency.