The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Shyanshu Shieh - One of the best experts on this subject based on the ideXlab platform.
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a two tier approach to the data driven modeling on thermal efficiency of a bfg coal co firing boiler
Fuel, 2013Co-Authors: Jianguo Wang, Shyanshu Shieh, Shishang Jang, David Shanhill WongAbstract:Abstract Even though ratio of air to fuel is the major factor in determining the thermal efficiency of a boiler, how to optimize the ratio in the real operation is still more like art than science, especially for a gas/solid multi-fuel combustion system. This study, taking operation data from a real gas/solid fuels co-firing boiler, is aimed to develop the thermal efficiency model. To cope with the complexity of combustion mechanism in a co-firing boiler, this study proposed a two-tier approach to modeling thermal efficiency. The first tier is to transform the plant input variables into the derived variables, which are physically and statistically meaningful to the model-building. In the second tier, this study proposed an adaptive modeling approach by employing nonnegative garrote variable selection and auto-regression integrated moving average correction. Both approaches are first time proposed in building the thermal efficiency model for Boilers. The prediction error of boiler thermal efficiency made by the acquired model reaches less than 0.03%. The high accuracy of the proposed modeling approaches makes the implementation of the model-based control of ratio of air to fuel for improving boiler’s efficiency readily practicable.
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statistical key variable analysis and model based control for the improvement of thermal efficiency of a multi fuel boiler
Fuel, 2010Co-Authors: Shyanshu Shieh, Yihsi Chang, Shishang Jang, Tasung HuangAbstract:Burning multi-fuel, including gases, liquid fuels and coal, whose flow rates and heating values vary all the time, a typical boiler in the steel and iron plant poses a challenge to achieving optimal operation. The present study proposes to develop an adaptive data-driven thermal efficiency estimator of multi-fuel Boilers based on statistical identification of key variables. With the available on-line efficiency model, the model-based controller is hence readily applicable to improve the boiler efficiency. Real operation data taken from two industrial Boilers are used to verify the effectiveness of the proposed method. The first half part of data serves to develop statistical models while the second half part serves to be simulated as virtual plants. The application of the proposed methods improved 1.94% of the thermal efficiency of a boiler burning multi-gas and 0.73% of a boiler burning coal and multi-gas in the virtual plant simulations.
David Shanhill Wong - One of the best experts on this subject based on the ideXlab platform.
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a two tier approach to the data driven modeling on thermal efficiency of a bfg coal co firing boiler
Fuel, 2013Co-Authors: Jianguo Wang, Shyanshu Shieh, Shishang Jang, David Shanhill WongAbstract:Abstract Even though ratio of air to fuel is the major factor in determining the thermal efficiency of a boiler, how to optimize the ratio in the real operation is still more like art than science, especially for a gas/solid multi-fuel combustion system. This study, taking operation data from a real gas/solid fuels co-firing boiler, is aimed to develop the thermal efficiency model. To cope with the complexity of combustion mechanism in a co-firing boiler, this study proposed a two-tier approach to modeling thermal efficiency. The first tier is to transform the plant input variables into the derived variables, which are physically and statistically meaningful to the model-building. In the second tier, this study proposed an adaptive modeling approach by employing nonnegative garrote variable selection and auto-regression integrated moving average correction. Both approaches are first time proposed in building the thermal efficiency model for Boilers. The prediction error of boiler thermal efficiency made by the acquired model reaches less than 0.03%. The high accuracy of the proposed modeling approaches makes the implementation of the model-based control of ratio of air to fuel for improving boiler’s efficiency readily practicable.
Shishang Jang - One of the best experts on this subject based on the ideXlab platform.
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a two tier approach to the data driven modeling on thermal efficiency of a bfg coal co firing boiler
Fuel, 2013Co-Authors: Jianguo Wang, Shyanshu Shieh, Shishang Jang, David Shanhill WongAbstract:Abstract Even though ratio of air to fuel is the major factor in determining the thermal efficiency of a boiler, how to optimize the ratio in the real operation is still more like art than science, especially for a gas/solid multi-fuel combustion system. This study, taking operation data from a real gas/solid fuels co-firing boiler, is aimed to develop the thermal efficiency model. To cope with the complexity of combustion mechanism in a co-firing boiler, this study proposed a two-tier approach to modeling thermal efficiency. The first tier is to transform the plant input variables into the derived variables, which are physically and statistically meaningful to the model-building. In the second tier, this study proposed an adaptive modeling approach by employing nonnegative garrote variable selection and auto-regression integrated moving average correction. Both approaches are first time proposed in building the thermal efficiency model for Boilers. The prediction error of boiler thermal efficiency made by the acquired model reaches less than 0.03%. The high accuracy of the proposed modeling approaches makes the implementation of the model-based control of ratio of air to fuel for improving boiler’s efficiency readily practicable.
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statistical key variable analysis and model based control for the improvement of thermal efficiency of a multi fuel boiler
Fuel, 2010Co-Authors: Shyanshu Shieh, Yihsi Chang, Shishang Jang, Tasung HuangAbstract:Burning multi-fuel, including gases, liquid fuels and coal, whose flow rates and heating values vary all the time, a typical boiler in the steel and iron plant poses a challenge to achieving optimal operation. The present study proposes to develop an adaptive data-driven thermal efficiency estimator of multi-fuel Boilers based on statistical identification of key variables. With the available on-line efficiency model, the model-based controller is hence readily applicable to improve the boiler efficiency. Real operation data taken from two industrial Boilers are used to verify the effectiveness of the proposed method. The first half part of data serves to develop statistical models while the second half part serves to be simulated as virtual plants. The application of the proposed methods improved 1.94% of the thermal efficiency of a boiler burning multi-gas and 0.73% of a boiler burning coal and multi-gas in the virtual plant simulations.
Philip K Hopke - One of the best experts on this subject based on the ideXlab platform.
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performance evaluation of two 25 kw residential wood pellet boiler heating systems
Energy & Fuels, 2017Co-Authors: Kui Wang, Yuanyuan Zhang, Mauro Masiol, Devraj Thimmaiah, Philip K HopkeAbstract:A significant increase in the use of wood pellets for residential space heating has occurred over the past decade. The performance of two modern residential wood pellet Boilers [designated Parishville boiler (PB) and West Potsdam boiler (WPB)] were evaluated, including boiler thermal efficiency, thermal energy storage (TES) tank discharge efficiency, and system efficiency. A correlation applicable to both systems between the boiler thermal efficiency (ηth, %) and the boiler output load (χ, %) was found in the form of ηth = 52.69 ln χ – 137.7, with r2 = 0.79 (for 25 < χ < 75). This equation provides an easy, accurate estimation of the boiler thermal efficiency in field operations. The boiler thermal efficiency decreased with time, and this decline was determined using a Mann–Kendall trend analysis with Sen’s slope. This decrease was primarily the result of fouling in the heat exchanger, and thus, this analysis identifies the need for manual cleaning of the heat exchanger tubes to restore maximal system per...
Annika Potter - One of the best experts on this subject based on the ideXlab platform.
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emission characteristics of modern and old type residential Boilers fired with wood logs and wood pellets
Atmospheric Environment, 2004Co-Authors: Linda Johansson, Bo G Leckner, Lennart Gustavsson, David A Cooper, Claes Tullin, Annika PotterAbstract:Abstract Emissions from commercial residential Boilers fired with wood logs and wood pellets, have been compared. Seven Boilers, selected with respect to age, design, connection to heat storage tank, and type of biofuel, were included in the study, which also covers two oil-fired Boilers in comparison. The measurements of gaseous emissions comprised carbon monoxide (CO), carbon dioxide (CO2), oxygen (O2), total organic carbons (TOC), nitrogen oxides (NOx), polycyclic aromatic hydrocarbons (PAH), and 33 volatile organic compounds (VOC). Particle emissions were characterised by mass concentration, number concentration, and the corresponding particle size distributions. In general, old-type wood Boilers caused considerably higher emissions than modern wood and pellet Boilers. The mass concentration of particles was 180 times larger in the worst old-type case (a water-cooled wood boiler without heat storage tank) compared to the best modern case (wood pellets). The TOC emission was shown to be correlated to the CO emission, both ranging between very low values and up to 10 000 mg/MJ, depending on design and operation. The highest emissions of unoxidised compounds occurred at the highest excess air ratio, and oxygen was not the limiting parameter for poor combustion. Instead, high excess air can be suspected to cool the combustion chamber, resulting in high CO emissions. VOC was dominated by methane. Especially from an old-type boiler the methane emissions could be high and the effect on climate change then may become larger than that of an oil boiler. However, substitution of an old-type wood boiler with a modern wood boiler attached to a storage tank or with a pellet boiler, would reduce methane emissions by 8 to 9000 times and the efficiency would increase. Most emissions could be considerably lowered by connecting the old-type wood boiler to a heat storage tank, or by charging small (in relation to the combustion chamber) batches of wood.