Klongboonjit, Sakon
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Preferred name
Klongboonjit, Sakon
Alternative Name
Klongboonjit, S.
Klongboonjit, Sakol
Main Affiliation
Email
sakon.kl@kmitl.ac.th
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Item type:Publication, Quality Evaluation of Wind Energy Data with Complete Linkage Clustering(2022-12-01); Kiatcharoenpol, TossapolAlthough wind is an important free energy and most investors or farmers would like to invest in wind energy projects, they sometimes lack of the wind quality data in alternative areas for making decision. It should be definitely good to have some simple methods to classify the quality of wind energy for alternative areas. In this study, Complete Linkage method combining with the Euclidean distance calculation, which is really a simple method for users, is introduced to cluster wind energy quality of alternative areas. In a case of 13 alternative areas in the south of Thailand, the data of average wind velocity along 12 months from the secondary data source can be used to generate the initial distance matrix before continuously improving with Complete Linkage method. Finally, these 13 alternative areas are suitable clustered at C.D. = 5.11 into 3 groups of the low wind quality area with I.D. = 1.21, the medium wind quality area with I.D. = 1.41 and the high wind quality area with I.D. = 1.45 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Prioritization of Wind Energy Data with Analytical Hierarchy Process (AHP)(2021-12-01); Kiatcharoenpol, TossapolWind energy potential is the main data to making decision for green energy projects in resident areas. The decision makers generally prioritize wind energy of alternative areas with data of wind power that are hard collected. In this study, the AHP method is introduced to prioritize wind energy of alternative areas with data of average wind velocity generally receiving from the secondary data sources. With the example of 13 alternative areas in the south of Thailand, the data of average wind velocity can be used to construct the AHP pairwise comparison matrix. Finally, the priority values of these 13 alternative areas are calculated with C.R. = 0.1157 and the wind energy priority of alternative areas is prioritized. The priority results with the data of average wind velocity are really similar to the priority results with the data of wind power