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Bangkok, Thailand

Panklib K.,Siam Technology College | Prakasvudhisarn C.,Shinawatra University | Khummongkol D.,Shinawatra University
Energy Sources, Part B: Economics, Planning and Policy | Year: 2015

In this article, an artificial neural network (ANN) and a regression model are applied to forecast long term electricity consumption in Thailand. The inputs of both nonlinear models are gross domestic product, number of population. Maximum ambient temperature and electricity power demand are used as inputs in a neural network to predict electricity consumption. The results show that the ANN model can give more accurate estimations than regression model as indicated by the performance measures, namely coefficient of determination, mean absolute percentage error and root mean square error. Accoding to the forecasting results by the regression and ANN models of this study, the electricity consumption of the country in 2010, 2015, and 2020 will reach 160,136, 188,552, and 216,986 GWh, respectively, for the regression model while the ANN model will reach 155,917, 174,394, and 188,137 GWh, respectively. Copyright © Taylor and Francis Group, LLC. Source


Panklib T.,Siam Technology College | Thaicham P.,Shinawatra University | Khummongkol D.,Shinawatra University
Energy Sources, Part A: Recovery, Utilization and Environmental Effects | Year: 2015

There are several agricultural residues in the country that can be used for biomass energy. At present, biomass is being used in small electricity generation. It is an effective way to eliminate agricultural waste and simultaneously reduce fossil fuel consumption. Currently, there are many incentives from the government for small and very small electricity producers. For example, these electricity producers are allowed to sell the power to the grid under long-term contracts, the government provides an "adder" on top of the normal tariff, assists in finding soft loans and investment subsidies, etc. With the aforementioned benefits, a prototype of a small biomass gasification power plant of 200 kW capacity was installed at SAO Banna, Prachinburi province of Thailand. The plant uses local agricultural residues, such as corn cob, cassava, eucalyptus bark, and chip wood as fuel. The total cost of electricity generated is estimated at 1.97 Baht/kWh. The electricity is then sold to the electricity authority of Thailand (EGAT) at 3.44 Baht/kWh (in 2010). Thus, the power plant makes a profit of 1.48 Baht for every kWh. If the plant is operated at 80% of its full capacity, the total electricity of 1,401,600 kWh will be generated per year. The annual profit of selling the electricity amounted to 2,070,451 Baht. Impressively, at this profit, the payback period is approximately 5.8 years. Moreover, the small biomass gasification power plant does not only eliminate agricultural waste effectively in the surrounding area, but also reduces the customary process of the disposal by burning. The emission to the atmosphere is thus reduced. In addition, the plant creates jobs and income for local people. © 2015 Taylor and Francis Group, LLC. Source


Thongkanluang T.,Suratthani Rajabhat University | Chirakanphaisarn N.,Siam Technology College | Limsuwan P.,King Mongkuts University of Technology Thonburi
Procedia Engineering | Year: 2012

Complex inorganic brown pigments having a high near infrared solar reflectance have been synthesized. Fe2O3 is the host component and mixtures of Sb2O3, SiO2, Al 2O3, and TiO2 were used as the guest components. Sb2O3, SiO2, Al2O 3, and TiO2 were mixed into 40 different compositions. It was found that a sample, denoted by S31, with a composition of Fe 2O3, Sb2O3, SiO2, Al 2O3, and TiO2 of 70, 10, 12, 2 and 6 wt% respectively, gives a maximum near infrared solar reflectance of 46.7%. Brown pigment colours were measured in CIE L*a*b* colour index. The S31 pigment powder was then prepared as a reflective coating material with different amounts of pigment powder from 4- 8 g in 100 g of ceramic glaze. The prepared materials were sprayed on the biscuit clay tiles for reflectance measurements. It was found that 5 g of S31 pigment powder mixed with 100 g of ceramic glaze gives the highest near-infrared reflectance value of 41.3 %. The newly synthesized pigment is a suitable ceramic roof coating for its high reflectance performance and the durability performing once the ceramic roof installed on house. © 2010 Published by Elsevier Ltd. Source


Charmonman S.,Siam Technology College | Mongkhonvanit P.,Siam Technology College
International Conference on ICT and Knowledge Engineering | Year: 2015

The Internet of Thing (IoT) is the network of things connected all over the world. The Internet of Everything (IoE) adds People, Process, and Data to IoT and thus creates exabyte (billion of billions) of data every day. The traditional data management can be used only partially for IoE data from sensors and not for all data from other sources and types. This paper will discuss the IoT market statistics, the insights for IoE, the 2014 World Economic Forum Data Policy Recommendations, Big Data and IoE, Management of IoE data, and Sample Best Practices for IoE. © 2015 IEEE. Source


Panklib T.,Siam Technology College | Prakasvudhisarn C.,Siam Technology College | Khummongkol D.,Siam Technology College
Energy Sources, Part A: Recovery, Utilization and Environmental Effects | Year: 2014

The demand for energy in Thailand has been continually increasing as the economic and social country grows. Approximately 60% of Thailand's primary energy is imported, mostly petroleum products. In 2008, Thailand's total energy consumption was 80,971 ktoe and the net price of energy imported was up to 1,161 billion Baht, which is equivalent to 12.8% of the GDP at the current price. Energy consumption or energy demand has been growing at an annual compounded growth rate of 6.42% and the peak electric power demand and electricity consumption was recorded at 22,568 MW and 148,264 GWh and grew at a rate of 7.0 and 7.5% per annum during the period from 1989 to 2008. The gross agriculture production in 2008 was recorded at 135.4 Mt, representing agriculture residue for energy at 65.73 Mt, which is equivalent to an energy potential of about 561.64 PJ or 13,292 ktoe (an increase in average of 5.59 and 5.44% per year, respectively). The agricultural residues can be converted to 15,600 GWh/year or 1,780 MW of power capacity. So, if Thailand's government plans to install small biomass gasification for electricity generation 200 kW for Sub-district Administrative Organization. The residue agricultural is available for 8,900 plants nationwide. The small biomass gasification for electricity generation not only reduces the energy imports, it also makes jobs and income for people in rural areas as well. This article's aim is to report the energy situation in Thailand, and it has studied five main agricultural products with high residue energy potential, namely, sugarcane, paddy, oil palm, cassava, and maize, appropriate for small electricity production. These agricultural products can be found planted in many rural areas throughout Thailand. Finally, the article discusses the situation, methods, and policies that the government uses to promote small private power producers supplying electricity into the grid. © Taylor and Francis. Source

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