Green Transformation of Bus Shelters: Implementation and Benefits of Solar Photovoltaic and Energy Storage Technologies
公車候車亭的綠色轉型:太陽能光電與儲能技術的實踐與效益
Abstract
In alignment with the Paris Agreement's goals, the global imperative to reduce carbon emissions has positioned solar technology as a crucial renewable resource. Traditional bus shelters, which typically depend on central power grids, face increased energy demands and limited enhancements in functionality. This study conducts a seasonal analysis of solar photovoltaic (PV) systems installed in Taipei's bus shelters and evaluates their cost-effectiveness through Net Present Value (NPV) analysis, assessing the feasibility of energy self-sufficiency. The findings reveal that with adequate energy storage, bus shelters can achieve self-sufficiency from February to October, but require grid support from November to January. Scenario analysis shows that installing solar panels can reduce operating costs by 32.5%, and by 69.1% when paired with storage solutions. However, in the absence of feed-in tariffs (FIT), the payback period extends significantly, and setups relying solely on generation facilities may not attain break-even within a foreseeable timeline. Introducing FIT reduces the payback period to 11.8 years, markedly improving economic outcomes. Key factors such as efficiency of power generation, carbon fees, and installation capacity profoundly influence these economic benefits, highlighting the importance of meticulous device and location selection to maximize generation efficiency. This study offers valuable data for stakeholders and policymakers, enhancing the integration of solar energy in public infrastructures and aiding the pursuit of global sustainability goals.
Keywords
Bus Shelter; Solar Photovoltaic; Feed-in Tariff; Cost-effectiveness Analysis; Green Mobility
Cite (BibTeX)
@article{chien2024green,
title={Green Transformation of Bus Shelters: Implementation and Benefits of Solar Photovoltaic and Energy Storage Technologies},
author={Chien, Yuan-Hsi and Hsieh, I-Yun Lisa},
journal={Journal of Taiwan Energy},
volume={11},
number={4},
pages={329-350},
year={2024},
month=dec
}