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Author: search.filters.author.Banjongjit, S.Has files: No

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    Optimal design of a small scale wind power generation system for a rural and low capacity factor area
    (2009-12-01)
    Chompoo-Inwai, Chai
    ;
    Banjongjit, S.
    ;
    Tangsrianukul, W.
    ;
    Suksawas, D.
    ;
    Lee, Wei Jen
    In Thailand, according to the Power Development Plan (PDP 2007), during the year 2007-2021, the government of Thailand plan to have the most economic power generation resources yet reliable and least environmental impact. At the present time, in addition, the emerging energy crisis resulting from an uncertainty price of crude-oil and the emerging global warming crisis results from carbon dioxide emission have drawn an attention about renewable energy all over the world including Thailand [1-2]. One of the most effective solutions for Thailand is to promote the renewable energy usage in the rural area especially from solar energy and wind generation system. However, with the fast growing in wind power technologies, many concerns and focuses pay to this type of renewable energy in the country. Unfortunately, Thailand is considered as a country of low to medium wind speed profile with approximately wind capacity factor close to 30 percent. Therefore, in order to obtain the most efficient and effective wind generation system for rural household usage, the optimal design for a household scale wind generation should be governmentally supported and implemented. This paper, therefore, addresses to this issue and study result shows that the optimal scale of household wind generation system is 5 kW. with a proposed cut-in speed at 2.5 m/s while the suggested rated power at wind speed of 8 m/s. This proposed wind generation system can offer an Optimal Annual Capacity Factor (OACF) close to 30 percent. © 2009 IEEE.
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    Design optimization of wind power planning for a country of low-medium wind speed profile
    (2007-12-01)
    Chompoo-inwai, Chai
    ;
    Banjongjit, S.
    ;
    Leelajindakrairerk, M.
    ;
    Faungfoo, P.
    ;
    Lee, Wei Jen
    the emerging energy crisis results from a high-price of crude-oil has drawn attention about renewable energy all over the world. Thailand is a developing country located at the heart of Southeast Asia with about 66 million of population as of 2006. The ESI structure under the government of Thailand has been managed by the Electricity Generating Authority of Thailand (EGAT), Metropolitan Electricity Authority (MEA), and Provincial Electricity Authority (PEA) for almost 50 years. According to the 2004 Power Development Plan (PDP), the country would have generation reserve at a marginal of 15 percent. Due to the rapid economic growth and difficulty in building new centralized generating facilities, this has the potential to create a security issue of electricity energy shortage and may develop a severe system blackout. Renewable energy issues have been widely discussed and debated over the country. Although solar energy is the most prominent renewable energy source due to the appropriated geographic of Thailand, it still considered as a low-density energy source which requires a large area of installation. Therefore, for the long term investment, wind power seem to be a good candidacy since it is quick to get permission, need no fuel cost, and environmental friendly. Therefore, this paper investigates the impact of penetration level of wind powered generation to be integrated into Thailand system. System stability has been observed in various system configurations change due to different control strategies of wind farms. The economics analysis of wind farm investment has been also considered. © 2007 IEEE.
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    An analysis and selection of distribution transformer for losses reduction
    (2000-01-01)
    Suechoey, B.
    ;
    Ekburanaway, J.
    ;
    Kraisnachinda, N.
    ;
    Banjongjit, S.
    ;
    Chompoo-Inwai, C.
    Thailand's medium-sized industries, with demands ranging from 30-1999 kW., currently need to select transformers that provide the highest efficiency regarding transformer losses. This is partly because the energy authorities that provide the electricity have fixed the loss ratio values for transformers. In this paper, an analysis of how to select the suitable size of transformer is presented. The considered factors include efficiency, losses, rating, capital cost throughout the transformer commission time, the cost of the energy, and % interest rate. The analysis includes an example of calculation and selection.