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Author: search.filters.author.Ngaopitakkul, AtthapolSubject: search.filters.subject.Renewable energy

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    Financial feasibility of electric vehicle charging stations in Thailand: An analysis of operational models and energy costs
    (2025-07-01)
    Chiradeja, Pathomthat
    ;
    Sottiyaphai, Chayanut
    ;
    Ngaopitakkul, Atthapol
    ;
    Ananwattanaporn, Santipont
    Despite the increasing demand for electric vehicles (EVs) and the associated charging stations, the variances in EV charging station models and diversity of energy costs have not been effectively studied to date. Therefore, this study examines the financial viability of EV charging stations in Thailand by analysing the effects of operational models, charger counts, and fluctuating energy costs. The profitability, payback periods, and investment returns of various types of EV charging stations are evaluated by combining financial analysis tools and historical energy cost data. The results indicate that small-scale charging stations with 1–3 chargers demonstrate superior financial viability, achieving internal rates of return (IRR) of 24.18–39.86 % and payback periods ranging from 3 to 4 years, depending on the tariff model. By contrast, stations with more than three chargers experience extended payback periods, with some configurations failing to recover investment within the project duration owing to increased capital expenditures and operational costs. This study also emphasises the critical role of dynamic energy pricing in the financial modelling of charging stations. Electricity costs vary significantly between conventional and low-priority stations, with energy costs for conventional stations being up to 23 % higher. The financial feasibility of EV charging stations in Thailand presents competitive advantages in terms of investment attractiveness and return on capital compared with higher energy cost regions with fewer financial incentives. The findings have significant implications for station operators, investors, and policymakers, highlighting the need for strategic planning and adaptive pricing strategies in EV charging infrastructure development.
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    Solar water heating in residential building
    (2019-07-01)
    Chiradeja, Pathomthat
    ;
    Pothisarn, Chaichan
    ;
    Jettanasen, Chaiyan
    ;
    Yoomak, Suntiti
    ;
    Songsukthawan, Panapong
    The electrical consumption has been rapidly increased in the past few decades. However, environment concern and depleting of fossil fuel lead to raise of alternative energy. One of the applications for solar energy that has gain significant attention is solar thermal for watering heating that can replace electricity. This paper aims to presents feasibility on solar water heating for residential building in Thailand. The analysis has been done on both energy performance and economic perspective using RETscreen software and Bangkok, Thailand as case study location in order to verify the feasibility of solar water heating application in residential building. The result has shown the potential of solar water heating system application in residential building as a replacement to conventional electrical water heating.
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    The study of economic effects when different distributed generators (DG) connected to a distribution system
    (2018-06-25)
    Chiradeja, Pathomthat
    ;
    Yoomak, Suntiti
    ;
    Ngaopitakkul, Atthapol
    This paper presents the study and analysis of an economic impact on distributed generator (DG) installation connected to the 22-kV distribution system of the Thanyaburi substation of Provincial Electricity Authority (PEA), Thailand, which covers 8.18 km of distribution line distance and has four BUS connected with DG. In order to determine the optimal size and type of DG, the DIgSILENT PowerFactory software is used to simulate the DG connected to the distribution system. The DG used in case studies has three types: solar power, wind power, and biomass; each type has a size varied from 1-8 MW. For economic evaluation, the indices of discount payback period (DPB) and internal rate of return (IRR) are employed. The results indicate that solar power and wind power which are high power generation can be more achievable economic performance than low power one due to better the ratio between investment costs and megawatts. However, the biomass distributed generation of 1 MW gives the best DPB (4.78 years) and IRR (25.27%), as well as more efficient in electrical generation than the solar power and wind power.