U-Tapao, Chalida
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U-Tapao, Chalida
Alternative Name
U-tapao, Chalida
U-Tapao, C.
U-tapao, C.
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Email
chalida.ut@kmitl.ac.th
6 results
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Item type:Publication, A Design and Construction of a Wind Tunnel for Engineering Laboratories(2018-08-14); Moryadee, SeksunThe propose of this research is to demonstrate a design and construction of a wind tunnel for engineering laboratories in order to study the principles and control wind speeds in the wind tunnel. In an experiment in aerodynamics and engineering, we found that diffuser must have a length equal to or more than twice the length of the test in order to prevent the turbulent flow in the test area. The wind speed control system uses Inverter to control a 3-phase frequency of electricity supplied to air blower. In the experiment, the frequency was adjusted in the range from 20.00 to 50.00 Hz. Experiment results show that wind speeds during the test area are in the range of 14.50 to 38.50 meters per second, and the relationship between frequency (Y) and wind speed (X) during the test is linear as follows: Y = (0.7945 × (X-20)) + 14.629. The maximum pressure is 90.31 kilograms per square meter. This wind tunnel can be used to design buildings with a maximum height of 20 meters according to the Bangkok Metropolis Building Control (2001). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Multi-Objective Optimization Model for Solid Waste Disposal Under Uncertainty: A Case Study of Bangkok, Thailand(2017-03-01); This paper has applied operation research to solid waste disposal by which two objective functions are optimized to minimize the expected operational costs (maximize revenues) and the expected net carbon dioxide equivalent (CDE) emissions. Types and uncertain amounts of solid wastes as well as costs of electricity were factored into the selection decision of solid waste disposal, i.e., landfill, incineration, composting and recycling. An optimization model was applied to the solid waste disposal of Bangkok, Thailand. In addition, a multi-objective optimization technique was proposed for a trade-off decision-making between minimum operational costs and CDE emissions. Composting and landfill are effective alternatives for Bangkok’s solid waste disposal system. The operational costs and net CDE emissions are highly correlated with the quantity of solid waste. Policy makers and plant operators could adopt the proposed optimization model under uncertainty in the selection of an optimal solid waste disposal. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A stochastic, two-level optimization model for compressed natural gas infrastructure investments in wastewater management(2016-01-01); ;Moryadee, Seksun ;Gabriel, Steven A. ;Peot, ChristopherRamirez, MarkIn 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A complementarity-based equilibrium model of biodiesel market, in Thailand(2018-08-14); 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Potential biodiesel production from palm oil, coconut oil and soybean oil for Thailand(2018-08-14); 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Three Emergency Medical Location Models: A Case Study of Thailand∗(2018-11-01) ;Doungpan, S. ;Moryadee, S.; 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.
