U-Tapao, Chalida

Preferred name

U-Tapao, Chalida

Alternative Name

U-tapao, Chalida

U-Tapao, C.

U-tapao, C.

Main Affiliation

School of Engineering

chalida.ut@kmitl.ac.th

Now showing 1 - 10 of 16

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LNG Portfolio Diversification Optimization Model of Thailand
(2023-01-01)
Tuchinda, Nutmethee
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Moryadee, Seksun
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U-Tapao, Chalida
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Laokhongthavorn, Leamthong
With the increase of reliance of LNG for Thailand, tons of liquefied natural gas (LNG) are imported, however there is no report that describes the engagement by a mathematical model. This study constructed a mathematical model to analyze LNG supply of Thailand. Based on the outcome in 2022, the offered LNG supply pattern, which reduced the total LNG price, risk of politics and risk of maritime, exhibited that Malaysia, Brunei, and Australia are LNG exporter of Thailand. Additionally, when the demand of LNG in Thailand increase, the demand from Qatar does not increase due to the low competitiveness. Moreover, in the study of diversification, the details suggested the raking of suppliers that Thailand should import. The rank is as follows: Brunei, Malaysia, Australia, USA, and Trinidad & Tobacco. The study of the objective factors on the decision of Thailand shows that the risk associated with shipping is ineffective to Thailand’s LNG supply due to the geographical closeness of the supplier countries. However, the risk connected to the political of supplier nations is influenced by the decision of the supply. Furthermore, this study revealed the limitation of the research associated with the LNG supply of Thailand. Hence, the finding of this study not only presented the alternative policy of Thailand but also consolidated Thailand’s energy security.
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Potential biodiesel production from palm oil, coconut oil and soybean oil for Thailand
(2018-08-14)
Khwanpruk, Somkiat
;
U-Tapao, Chalida
The government began subsidizing the use of B20 in large trucks on a voluntary basis beginning in 2016 and intends to implement the B10 requirement in 2018 for all diesel sales. However, policy makers in both the MOE and the Ministry of Agriculture and Cooperatives (MOAC) recently agreed that the mandatory biodiesel consumption plan for 2036 may be unattainable (given the strategy does not permit reliance on imports) and is therefore being reexamined. Despite an increase in harvested area, crude palm oil (CPO) production, the only feedstock used for biodiesel in Thailand, stagnated at 1.8-2.0 million from 2014-2016 due to unfavourable weather conditions. Thailand experiences a great economic and industrial development and is the second largest energy consumer in South East Asia. Being a net oil importer, Thai government has declared a renewable energy development programme in order to secure sustainable development and energy security. Thailand spends more than 10% of GDP for energy imports and transport sector accounts for 36% of total final energy consumption of which 50% is diesel. Diesel marks a huge impact on Thai economy.
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Analysis of Three Emergency Medical Location Models: A Case Study of Thailand∗
(2018-11-01)
Doungpan, S.
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Moryadee, S.
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U-Tapao, C.
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Laokhongthavorn, Z.
This paper aims to provide a method for responding of natural disaster by applying the set facility location approach on disaster and emergency management in order to make an optimal location of emergency management facilities in pre-disaster phase. This paper presents and compares three models including maximal covering, p-median, and p-center models to determine an optimal location of emergency management facilities. These three models are applied to the case study of Chiang Rai province, Thailand. The model input data is generated from a geographic information system. The results show that a case study can be implemented with a real situation with comparison of an optimal solution from three models.
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Enhancing sustainable development through Spatiotemporal analysis of Ramsar wetland sites in South Asia
(2024-12-01)
Goyal, Manish Kumar
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Rakkasagi, Shivukumar
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Surampalli, Rao Y.
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Zhang, Tian C.
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Erumalla, Saikumar
The ecological significance of wetlands makes it imperative to study changes in their inundation extent and propose necessary conservation measures. Monitoring wetland dynamics and implementing strategies to protect these essential ecosystems is crucial for maintaining the balance of natural systems. This study used pre-processed Landsat imagery (1991–2020) to generate yearly composites and produce inundation maps based on an automated Short-Wave Infrared thresholding technique within the Google Earth Engine platform. The analysis was executed on individual wetlands to describe their typical condition owing to regional climatic and geographical circumstances. The Mann-Kendall test was used to understand the trends in the change of inundation extent. The thresholding method achieved an overall accuracy of 89.0 %, with average dry and wet Producer's accuracies of 90.6 % and 86.6 %, respectively. The accuracy was higher for open water lakes compared to wetlands with complex vegetation dynamics. The trend analysis revealed that 46 sites follow an increasing trend, while the remaining 43 sites were found to be decreasing. Among these 43, 12 sites were found to be significantly decreasing, with the Upper Ganga River showing a maximum decrease of about 59 % in the inundation extent. Factors such as elevation, precipitation, temperature, and climate type were found to influence the trends in wetland inundation. Wetlands at high altitudes (>4000 m) and those receiving less than 500 mm of annual precipitation were more likely to exhibit decreasing trends. Coastal wetlands showed varying trends, with five increasing and three significantly increasing. The findings of this study provide valuable insights into the relationship between sustainable development and wetland conservation, supporting the Ramsar Convention's goals and the UN's Sustainable Development Goals. The individualized analysis of Ramsar sites enables the development of localized management strategies, climate change adaptation, and informed policy-making, ultimately contributing to the sustainable use of these critical ecosystems in South Asia.
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A stochastic, two-level optimization model for compressed natural gas infrastructure investments in wastewater management
(2016-01-01)
U-tapao, Chalida
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Moryadee, Seksun
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Gabriel, Steven A.
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Peot, Christopher
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Ramirez, Mark
In this paper, we present a stochastic two-level optimization model whose upper-level problem depicts a wastewater treatment plant deciding on the size of compressed natural gas (CNG) filling stations and their locations. These upper-level decisions are integrated with operational decisions for the plant as well as downstream markets including agriculture, CNG transportation, residential natural gas, and electricity markets at the lower level. The two-level problem, expressed as a stochastic mathematical program with equilibrium constraints (SMPEC), is reformulated as mixed-integer linear program (MILP) using SOS1 transformations and linearizations. As a case study, the SMPEC is used to evaluate the options for CNG investment for a wastewater treatment plant located in the Washington, DC metro area. Our results indicate that the CNG produced from the wastewater treatment plant could meet approximately 20% of the expected total transportation demand in Washington, DC. In addition, CNG produced from the wastewater treatment plant could reduce CO<inf>2</inf> emissions by a significant amount. The CNG benefits are traded off with less on-site wastewater-derived power production.
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Swine house floor durability enhancement using Pozzolan-containing concrete mix designs
(2021-01-01)
Lapcharatsangroj, L.
;
U-Tapao, C.
This research investigates the effect of pozzolanic materials on the performance of swine house concrete floor. The experimental pozzolans are fly ash (FA) and silica fume (SF), and the performance metrics are compressive strength, abrasion resistance, and resistance to lactic and sulfuric acids. There are nine experimental concrete mix designs: concrete without floor hardener (conventional concrete or non-CFH), concrete with floor hardener (CFH), concrete with 15%, 30%, 45% fly ash, and concrete with silica fume and fly ash (CSF4FA26, CSF6FA24, CSF8FA22, CSF10FA20). In acid resistance tests, a groove was cut across the specimen surface to simulate floor spallation. The results showed that the CFH floor had the highest abrasion and acid resistance but suffered from severe acid damage under spallation conditions. Meanwhile, the CSF10FA20 floor had the highest compressive strength and acid resistance under spallation conditions. The statistical analysis indicated that the pozzolanic materials significantly improved the performance metrics of concrete mix designs (p<0.05), compared with the non-CFH mix design (control). The construction costs of CSF-FA floors (THB 118 – 121) and non-CFH floor (THB 116) were comparable, but they were considerably lower than that of CFH floor (THB 196). The acid resistance of CSF-FA floors was higher than that of non-CFH and CFH floors. As a result, the CSF-FA concrete mix designs should be adopted for the construction of swine house floor due to longer durability and better investment return, in comparison with non-CFH and CFH floors which are commonly used in small- and industrial-scale swine farms.
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Optimal Prediction of Effectiveness of Mangrove Forest Against Coastal Erosion: Case Study of Coastal Area along the Gulf of Thailand
(2024-01-01)
Rattanarama, Puangpet
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U-Tapao, Chalida
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Yamamoto, Yoshimichi
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Nopmuang, Arj Ong
Coastal erosion in Thailand is severe due to the deforestation of mangrove forests, which naturally dissipate waves, making it necessary to establish how to reproduce mangrove forests of a suitable size. First, a survey of mangrove forests was performed in 2012-2013 along the coast of the Gulf of Thailand, where mangrove vegetation has been affected by human activities. The survey showed that tentacle-root mangroves (Rhizophora mucronata) accounted for the largest proportion of the mangrove trees in the area. The distribution characteristics of the root number per mangrove tree and the diameters of root systems and main trunks were also clarified. The parametric results were used to make replicas of mangrove vegetation. Hydraulic experiments were carried out in a wave tank in 2014, and a calculation diagram for obtaining the wave transmission ratio was constructed, which was improved over 2015-2018. Moreover, experimental data of eight existing papers were used to increase the value and reliability of this diagram. As a result, a wave transmission ratio can be obtained as a function of the density of mangrove vegetation and the ratio of the incident wavelength to the offing direction width of a mangrove forest. Next, the wave transmission ratio of existing detached breakwaters made of geotextile sandbags was evaluated by simulation using the numerical model [V. T. Ca: VNU J. Sci., Earth Sci. 23 (2007) 160], then the required width of a mangrove forest for it to have the same effect as an existing detached breakwater was estimated. The wave transmission ratio of this breakwater was 0.33, and the offing direction width of the tentacle-root mangrove forest was 250 m with a tree density of 0.8 (the number of trees/m<sup>2</sup>). By performing verification simulations using experimental data, the high reproduction accuracy of the topographical changes obtained by the numerical model of Ca et al. was confirmed.
1
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A Study of Real-Time System of Water Distribution Networks: Case study of Hat Yai Waterwork Plant, Songkhla Province, Thailand
(2023-10-09)
Jandaeng, Sittichai
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U-Tapao, Chalida
This study aims to optimize water distribution in a water supply network. One of the most important objectives for every waterwork plants is to minimize water loss in supplying system. The water supply network in Thailand is underground work and most of them have used for many years. Leakages are normally met especially when high pressure are required from demand side. This research will classify 13,580 households living around Hat Yai waterwork plant of Provincial Waterworks Authority in Hat Yai branch in Songkhla province as a demand side and put 5 water sources of Hat Yai district as a supplied side. EPANET program is used to simulate water distribution networks and SCADA application is selected to design controlling system. The result shows that water supply at the Hat Yai waterwork plant should be at least 48 meters to upper Hat Yai zone, however, booster pump may help reducing original water head to 40 meters into high-level areas. Hat Yai waterwork plant decreases energy consumption from pumping processes and also reduce water loss in water distribution system.
1
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A complementarity-based equilibrium model of biodiesel market, in Thailand
(2018-08-14)
Khwanpruk, Somkiat
;
U-Tapao, Chalida
This paper presents a complementarity-based model making a decision for energy production in biodiesel market. This model has three strategic players complete against each other on the biodiesel productions. All three players make up biodiesel from agricultural products and they are price-takers. The first player represents producers who produce and sell biodiesel from palm oil. The second and third players produce and sell biodiesel from coconut oil and soybean oil, respectively. The strategic player's decisions involve quantities of palm, coconut and soybean oil related with the market price. This paper uses operation research to optimize a decision maker's objectives within the limits of available agricultural products and also provide results for sustainable energy production.
1
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A Study on High-Speed Rail Pricing Strategy for Thailand Based on Dynamic Optimal Pricing Model
(2021-06-30)
Khwanpruk, Somkiat
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U-tapao, Chalida
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Khwanpruk, Kankanit
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Laokhongthavorn, Laemthong
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Moryadee, Seksun
The Bangkok–Nong Khai high-speed railway is the first high-speed line in Thailand and is currently under construction. The project is due to be completed by 2023, with ticket prices starting at 80 baht plus 1.8 baht per km which can be considered as a straight-line fare set with a fixed rate increase. Different from the current price policy, this paper examines the application of dynamic pricing to Thailand’s HSR. Dynamic Pricing Optimizer proposed in this paper is a unique system of dynamic pricing by considering the changes in the amount of service requirements and the time of purchasing tickets designed to solve the problem of pricing that is appropriate. First, The Dynamic Pricing Optimizer (DPO) system will integrate the user data from the latest trip or historical information. After that, there will be a forecast for users of high-speed trains based on historical data in order to create a demand function that is linear. After that, the price will be determined by the optimization method to find the most suitable price in order to maximize the revenue. Lastly, we compare both fare policies and found that The Dynamic Pricing policy can increase revenue up to 6.5%.
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U-Tapao, Chalida

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