The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Kody M. Powell - One of the best experts on this subject based on the ideXlab platform.
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Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization
2018 Annual American Control Conference (ACC), 2018Co-Authors: Khalid Rashid, Moataz N. Sheha, Kody M. PowellAbstract:A dynamic model of a natural gas/solar hybrid system was developed using heat integration and smart flow control. Natural gas was used as a supplemental fuel, which enhanced the reliability of the system and increased the power block cycle efficiency through the use of higher temperatures. In this work, the synergy of the two energy sources (solar and natural gas) was exploited with real-time optimization (RTO). A quadratic programming-based optimizer was used to redirect heat to the steam generator or to Boiler Feedwater pre-heating as the optimizer dictates. During low solar conditions, the RTO directs the solar heat to the lower temperature heat sink (the Boiler Feedwater preheater) to make better use of the solar heat. During high solar conditions, the solar heat flows through the steam generator (the high-temperature heat sink) and to the Boiler Feedwater pre-heater in series. The optimization is more effective at low irradiance conditions (morning, evening, winter, cloud cover etc.) because it is able to identify conditions that maximize solar utilization. Yearly results demonstrate the model observed an improvement of 10% in terms of solar to electric efficiency (STE) and 10.7% in solar fraction. Optimization increased the solar share and maximized greener energy.
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ACC - Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization
2018 Annual American Control Conference (ACC), 2018Co-Authors: Khalid Rashid, Moataz N. Sheha, Kody M. PowellAbstract:A dynamic model of a natural gas/solar hybrid system was developed using heat integration and smart flow control. Natural gas was used as a supplemental fuel, which enhanced the reliability of the system and increased the power block cycle efficiency through the use of higher temperatures. In this work, the synergy of the two energy sources (solar and natural gas) was exploited with real-time optimization (RTO). A quadratic programming-based optimizer was used to redirect heat to the steam generator or to Boiler Feedwater pre-heating as the optimizer dictates. During low solar conditions, the RTO directs the solar heat to the lower temperature heat sink (the Boiler Feedwater preheater) to make better use of the solar heat. During high solar conditions, the solar heat flows through the steam generator (the high-temperature heat sink) and to the Boiler Feedwater pre-heater in series. The optimization is more effective at low irradiance conditions (morning, evening, winter, cloud cover etc.) because it is able to identify conditions that maximize solar utilization. Yearly results demonstrate the model observed an improvement of 10% in terms of solar to electric efficiency (STE) and 10.7% in solar fraction. Optimization increased the solar share and maximized greener energy.
Khalid Rashid - One of the best experts on this subject based on the ideXlab platform.
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Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization
2018 Annual American Control Conference (ACC), 2018Co-Authors: Khalid Rashid, Moataz N. Sheha, Kody M. PowellAbstract:A dynamic model of a natural gas/solar hybrid system was developed using heat integration and smart flow control. Natural gas was used as a supplemental fuel, which enhanced the reliability of the system and increased the power block cycle efficiency through the use of higher temperatures. In this work, the synergy of the two energy sources (solar and natural gas) was exploited with real-time optimization (RTO). A quadratic programming-based optimizer was used to redirect heat to the steam generator or to Boiler Feedwater pre-heating as the optimizer dictates. During low solar conditions, the RTO directs the solar heat to the lower temperature heat sink (the Boiler Feedwater preheater) to make better use of the solar heat. During high solar conditions, the solar heat flows through the steam generator (the high-temperature heat sink) and to the Boiler Feedwater pre-heater in series. The optimization is more effective at low irradiance conditions (morning, evening, winter, cloud cover etc.) because it is able to identify conditions that maximize solar utilization. Yearly results demonstrate the model observed an improvement of 10% in terms of solar to electric efficiency (STE) and 10.7% in solar fraction. Optimization increased the solar share and maximized greener energy.
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ACC - Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization
2018 Annual American Control Conference (ACC), 2018Co-Authors: Khalid Rashid, Moataz N. Sheha, Kody M. PowellAbstract:A dynamic model of a natural gas/solar hybrid system was developed using heat integration and smart flow control. Natural gas was used as a supplemental fuel, which enhanced the reliability of the system and increased the power block cycle efficiency through the use of higher temperatures. In this work, the synergy of the two energy sources (solar and natural gas) was exploited with real-time optimization (RTO). A quadratic programming-based optimizer was used to redirect heat to the steam generator or to Boiler Feedwater pre-heating as the optimizer dictates. During low solar conditions, the RTO directs the solar heat to the lower temperature heat sink (the Boiler Feedwater preheater) to make better use of the solar heat. During high solar conditions, the solar heat flows through the steam generator (the high-temperature heat sink) and to the Boiler Feedwater pre-heater in series. The optimization is more effective at low irradiance conditions (morning, evening, winter, cloud cover etc.) because it is able to identify conditions that maximize solar utilization. Yearly results demonstrate the model observed an improvement of 10% in terms of solar to electric efficiency (STE) and 10.7% in solar fraction. Optimization increased the solar share and maximized greener energy.
Moataz N. Sheha - One of the best experts on this subject based on the ideXlab platform.
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Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization
2018 Annual American Control Conference (ACC), 2018Co-Authors: Khalid Rashid, Moataz N. Sheha, Kody M. PowellAbstract:A dynamic model of a natural gas/solar hybrid system was developed using heat integration and smart flow control. Natural gas was used as a supplemental fuel, which enhanced the reliability of the system and increased the power block cycle efficiency through the use of higher temperatures. In this work, the synergy of the two energy sources (solar and natural gas) was exploited with real-time optimization (RTO). A quadratic programming-based optimizer was used to redirect heat to the steam generator or to Boiler Feedwater pre-heating as the optimizer dictates. During low solar conditions, the RTO directs the solar heat to the lower temperature heat sink (the Boiler Feedwater preheater) to make better use of the solar heat. During high solar conditions, the solar heat flows through the steam generator (the high-temperature heat sink) and to the Boiler Feedwater pre-heater in series. The optimization is more effective at low irradiance conditions (morning, evening, winter, cloud cover etc.) because it is able to identify conditions that maximize solar utilization. Yearly results demonstrate the model observed an improvement of 10% in terms of solar to electric efficiency (STE) and 10.7% in solar fraction. Optimization increased the solar share and maximized greener energy.
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ACC - Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization
2018 Annual American Control Conference (ACC), 2018Co-Authors: Khalid Rashid, Moataz N. Sheha, Kody M. PowellAbstract:A dynamic model of a natural gas/solar hybrid system was developed using heat integration and smart flow control. Natural gas was used as a supplemental fuel, which enhanced the reliability of the system and increased the power block cycle efficiency through the use of higher temperatures. In this work, the synergy of the two energy sources (solar and natural gas) was exploited with real-time optimization (RTO). A quadratic programming-based optimizer was used to redirect heat to the steam generator or to Boiler Feedwater pre-heating as the optimizer dictates. During low solar conditions, the RTO directs the solar heat to the lower temperature heat sink (the Boiler Feedwater preheater) to make better use of the solar heat. During high solar conditions, the solar heat flows through the steam generator (the high-temperature heat sink) and to the Boiler Feedwater pre-heater in series. The optimization is more effective at low irradiance conditions (morning, evening, winter, cloud cover etc.) because it is able to identify conditions that maximize solar utilization. Yearly results demonstrate the model observed an improvement of 10% in terms of solar to electric efficiency (STE) and 10.7% in solar fraction. Optimization increased the solar share and maximized greener energy.
Bin Dong - One of the best experts on this subject based on the ideXlab platform.
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a new strategy for reusing the oilfield produced water as Boiler Feedwater without desilication
Journal of The Taiwan Institute of Chemical Engineers, 2016Co-Authors: Ying Xu, Danni Shen, Bin DongAbstract:Abstract One of key challenges for reusing oilfield-produced water as Boiler Feedwater was desilication, which can produce large amounts of silica sludge and concentrated solutions causing serious secondary pollution. In this paper, an environmentally friendly method that oilfield-produced water is treated by advanced softening without desilication (AS) was conducted via a lab-scale test. Experimental results showed that average scaling rate of the AS was only 0.0018 g/l, which was only a third of that of traditional desilication (0.0056 g/l). Si content in scales formed by AS was less than that of traditional desilication, indicating that softening is more effective than desilication in controlling silicate scales. These suggested that more free silicates and silica can be taken away as volatile by saturated steam under the conditions of 285 °C and 7 MPa. However, these findings can offer an important reference for reusing the oilfield-produced water without desilication into Boiler.
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scaling tendency of Boiler Feedwater without desiliconization treatment
Desalination, 2012Co-Authors: Bin Dong, Shengjian JiangAbstract:Abstract In the treatment of heavy oil wastewater that to be reused in a steam Boiler, the desiliconization techniques are complex and expensive. There is a great urgency to develop new processes of heavy oil wastewater treatment. In this paper, a new process is proposed: to inhibit scaling, the calcium and magnesium cations concentrations need to be reduced to the parts per billion levels, operating under a high-silicate-concentrations circumstance. Experimental results showed that in the treatment process of heavy oil wastewater, the concentration of calcium and magnesium needs to be decreased to at least 80 ppb to prevent from scaling under the high silicate operation (250–300 mg/L) environment. The formation of SiO 2 in scaling is negligible even when the Boiler is operated in a condition of high silicate concentration. According to the simulation model, controlling the calcium concentration is more beneficial than removing the silicate in Boiler Feedwater, and there is a good agreement between predicted values and the actual data (especially for the unexposed surface).
Madoc Sheehan - One of the best experts on this subject based on the ideXlab platform.
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Influence of ethanol and sulphite dosing on oxygen scavenging in sugar mill Boiler Feedwater
2020Co-Authors: C. Claxton, D. Rodman, Madoc SheehanAbstract:REDUCING CORROSION IN Boiler feed water circuits is important to maintaining efficient thermal performance as well as minimising maintenance. Corrosion is typically controlled in Boiler feed water through the addition of oxygen scavengers such as sodium sulphites, which act to reduce the dissolved oxygen (DO) concentration in the water. However, poor dissolved oxygen removal when using sulphite oxygen scavengers has been observed throughout the North Queensland sugar industry (Rodman et al., 2016). The cause of reduced oxygen scavenging capabilities of sodium sulphite is hypothesised to be a result of organic contaminants present in sugar mill Boiler Feedwater, such as ethanol. Previous literature does not provide sulphite oxidation kinetics at typical sugar mill Boiler Feedwater conditions. The primary focus of this work was to assess the effect of ethanol on sulphite oxidation in the Boiler Feedwater environment. In this research, a small-scale Boiler Feedwater system was designed and used to quantify the effect of ethanol on sulphite oxidation rates. Sulphite oxidation rate was quantified using first order reaction kinetics (R2
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influence of ethanol and sulphite dosing on oxygen scavenging in sugar mill Boiler Feedwater
2018Co-Authors: C. Claxton, D. Rodman, Madoc SheehanAbstract:REDUCING CORROSION IN Boiler feed water circuits is important to maintaining efficient thermal performance as well as minimising maintenance. Corrosion is typically controlled in Boiler feed water through the addition of oxygen scavengers such as sodium sulphites, which act to reduce the dissolved oxygen (DO) concentration in the water. However, poor dissolved oxygen removal when using sulphite oxygen scavengers has been observed throughout the North Queensland sugar industry (Rodman et al., 2016). The cause of reduced oxygen scavenging capabilities of sodium sulphite is hypothesised to be a result of organic contaminants present in sugar mill Boiler Feedwater, such as ethanol. Previous literature does not provide sulphite oxidation kinetics at typical sugar mill Boiler Feedwater conditions. The primary focus of this work was to assess the effect of ethanol on sulphite oxidation in the Boiler Feedwater environment. In this research, a small-scale Boiler Feedwater system was designed and used to quantify the effect of ethanol on sulphite oxidation rates. Sulphite oxidation rate was quantified using first order reaction kinetics (R2<0.97), with data obtained using a DO analyser. The experimental design was based on ANOVA procedures by considering ethanol concentration and sulphite to dissolved oxygen dose ratio as independent variables, and the first order oxidation rate constant as the dependent variable. To mimic typical industry conditions ethanol concentration was varied between 0 and 300 ppm while the molar sulphite to dissolved oxygen ratio was adjusted from 1:1 to 2:1. Experiments revealed that sulphite oxidation is significantly inhibited by ethanol contamination at typical Boiler Feedwater conditions. Increased sulphite dosages reduced the effect of ethanol, but were unable to overcome the decrease in oxidation rate. It was found that at recommended sulphite dosages, sulphite oxidation rates were reduced by 48% and 68% at 150 ppm and 300 ppm ethanol respectively. An empirical model correlating oxidation reaction rate to sulphite dosage and ethanol concentration was determined and correlations were high (R2<0.986).
