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Dongmei Chen - One of the best experts on this subject based on the ideXlab platform.

  • Maximizing Wind Energy Capture for Speed-Constrained Wind Turbines During Partial Load Operation
    Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 2016
    Co-Authors: Victor Yu, Mohamed L. Shaltout, Matthew K. Chu Cheong, Dongmei Chen
    Abstract:

    With the development of wind turbine technology, more wind turbines operate in the partial Load region, where one of the main objectives is to maximize captured wind energy. This paper presents the development of an optimal control framework to maximize wind energy capture for wind turbines with limited rotor speed ranges. Numerical optimal control (NOC) techniques were applied to search for the achievable maximum power coefficient, thus maximum wind energy capture. Augmentations of these optimal techniques significantly reduced the computational cost. Simulation results show that, in comparison with the traditional torque feedback and conventional optimal control algorithms, the proposed augmented optimal control algorithm increases the harvested energy while minimizing the computational expense for speed-constrained wind turbines during partial Load Operation.

  • Optimal Real-Time Control of Wind Turbine During Partial Load Operation
    IEEE Transactions on Control Systems Technology, 2015
    Co-Authors: Z.y. Ma, Mohamed L. Shaltout, Zeyu Yan, Dongmei Chen
    Abstract:

    A wind turbine achieves its highest energy efficiency during partial Load Operation when it operates at the optimal tip speed ratio (TSR), thus the optimal power coefficient. In this paper, real-time controllers are developed to improve the performance of tracking the optimal TSR during partial Load Operation. Dynamic programming (DP) is first applied to determine the control actions that maximize wind energy capture. A DP-based real-time controller (DPRC) is then explored to overcome the high computational expense associated with DP, which limits DP to be an offline optimization algorithm. However, the DPRC is not robust against plant-model mismatch and model uncertainties. A gain-modified optimal torque controller (GMOTC) is subsequently designed as an alternative to the DPRC. The GMOTC applies internal Proportional-Integral technique to track a reference TSR, and adapts the reference TSR to the optimal TSR in real time to improve the controller robustness. The light detection and ranging technology is used to further strengthen the controller performance by providing reliable previewed wind speed measurements. Simulation results show that the DRPC generates more wind power than the standard torque controller (STC), while the GMOTC demonstrates a performance similar to that of the DRPC on wind power generation with much better robustness in the presence of modeling error. Fatigue Loading on a wind turbine is another important issue that needs to be considered during control design. The analysis shows that both the DRPC and the GMOTC are comparable with the STC in generating variable torsional Loads due to the torque commands.

  • adaptive gain modified optimal torque controller for wind turbine partial Load Operation
    Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization;, 2014
    Co-Authors: Mohamed L. Shaltout, Dongmei Chen
    Abstract:

    In this paper, an adaptive gain modified optimal torque controller (AGMOTC) is proposed and evaluated for wind turbine partial Load Operation. An internal PI technique is applied for gain scheduling in order to accelerate the controller response under volatile wind speed while the adaptive searching technique endows the controller with robust convergence to the optimal operating point under plant uncertainties. The light detection and ranging (LIDAR) technology is integrated with the AGMOTC to provide reliable previewed wind speed measurements. Simulations on the NREL 5MW wind turbine show that the LIDAR-enabled AGMOTC outperforms the baseline controller considering the wind energy yield. Additionally, the results show the impact of the proposed controller on the wind turbine fatigue Loads.Copyright © 2014 by ASME

  • adaptive gain modified optimal torque controller for wind turbine partial Load Operation
    Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization;, 2014
    Co-Authors: Mohamed L. Shaltout, Dongmei Chen
    Abstract:

    In this paper, an adaptive gain modified optimal torque controller (AGMOTC) is proposed and evaluated for wind turbine partial Load Operation. An internal PI technique is applied for gain scheduling in order to accelerate the controller response under volatile wind speed while the adaptive searching technique endows the controller with robust convergence to the optimal operating point under plant uncertainties. The light detection and ranging (LIDAR) technology is integrated with the AGMOTC to provide reliable previewed wind speed measurements. Simulations on the NREL 5MW wind turbine show that the LIDAR-enabled AGMOTC outperforms the baseline controller considering the wind energy yield. Additionally, the results show the impact of the proposed controller on the wind turbine fatigue Loads.Copyright © 2014 by ASME

Y. Tian - One of the best experts on this subject based on the ideXlab platform.

  • modelling for part Load Operation of solid oxide fuel cell gas turbine hybrid power plant
    Journal of Power Sources, 2003
    Co-Authors: S.h. Chan, Y. Tian
    Abstract:

    Abstract This paper presents the work on part-Load Operation of a power generation system composed of a solid oxide fuel cell and a gas turbine (SOFC–GT) which operate on natural gas. The system consists of an internal reforming SOFC (IRSOFC) stack, an external combustor, two turbines, two compressors, two recuperators and one heat-recovery steam generator (HRSG). Based on experience in different levels of modelling of the fuel cell, fuel cell stack and integrated system and the inherent characteristics of a IRSOFC–GT hybrid power plant, a practical approach for simplifying part-Load Operation of the system is proposed. Simulation results show that an IRSOFC–GT hybrid system could achieve a net electrical efficiency and system efficiency (including waste heat recovery for steam generation) of greater than 60 and 80%, respectively, under full-Load Operation. Due to the complexity of the interaction of the components and safety requirements, the part-Load performance of a IRSOFC–GT hybrid power plant is poorer than that under full-Load Operation.

  • Modelling for part-Load Operation of solid oxide fuel cell–gas turbine hybrid power plant
    Journal of Power Sources, 2003
    Co-Authors: S.h. Chan, H. K. Ho, Y. Tian
    Abstract:

    Abstract This paper presents the work on part-Load Operation of a power generation system composed of a solid oxide fuel cell and a gas turbine (SOFC–GT) which operate on natural gas. The system consists of an internal reforming SOFC (IRSOFC) stack, an external combustor, two turbines, two compressors, two recuperators and one heat-recovery steam generator (HRSG). Based on experience in different levels of modelling of the fuel cell, fuel cell stack and integrated system and the inherent characteristics of a IRSOFC–GT hybrid power plant, a practical approach for simplifying part-Load Operation of the system is proposed. Simulation results show that an IRSOFC–GT hybrid system could achieve a net electrical efficiency and system efficiency (including waste heat recovery for steam generation) of greater than 60 and 80%, respectively, under full-Load Operation. Due to the complexity of the interaction of the components and safety requirements, the part-Load performance of a IRSOFC–GT hybrid power plant is poorer than that under full-Load Operation.

S.h. Chan - One of the best experts on this subject based on the ideXlab platform.

  • modelling for part Load Operation of solid oxide fuel cell gas turbine hybrid power plant
    Journal of Power Sources, 2003
    Co-Authors: S.h. Chan, Y. Tian
    Abstract:

    Abstract This paper presents the work on part-Load Operation of a power generation system composed of a solid oxide fuel cell and a gas turbine (SOFC–GT) which operate on natural gas. The system consists of an internal reforming SOFC (IRSOFC) stack, an external combustor, two turbines, two compressors, two recuperators and one heat-recovery steam generator (HRSG). Based on experience in different levels of modelling of the fuel cell, fuel cell stack and integrated system and the inherent characteristics of a IRSOFC–GT hybrid power plant, a practical approach for simplifying part-Load Operation of the system is proposed. Simulation results show that an IRSOFC–GT hybrid system could achieve a net electrical efficiency and system efficiency (including waste heat recovery for steam generation) of greater than 60 and 80%, respectively, under full-Load Operation. Due to the complexity of the interaction of the components and safety requirements, the part-Load performance of a IRSOFC–GT hybrid power plant is poorer than that under full-Load Operation.

  • Modelling for part-Load Operation of solid oxide fuel cell–gas turbine hybrid power plant
    Journal of Power Sources, 2003
    Co-Authors: S.h. Chan, H. K. Ho, Y. Tian
    Abstract:

    Abstract This paper presents the work on part-Load Operation of a power generation system composed of a solid oxide fuel cell and a gas turbine (SOFC–GT) which operate on natural gas. The system consists of an internal reforming SOFC (IRSOFC) stack, an external combustor, two turbines, two compressors, two recuperators and one heat-recovery steam generator (HRSG). Based on experience in different levels of modelling of the fuel cell, fuel cell stack and integrated system and the inherent characteristics of a IRSOFC–GT hybrid power plant, a practical approach for simplifying part-Load Operation of the system is proposed. Simulation results show that an IRSOFC–GT hybrid system could achieve a net electrical efficiency and system efficiency (including waste heat recovery for steam generation) of greater than 60 and 80%, respectively, under full-Load Operation. Due to the complexity of the interaction of the components and safety requirements, the part-Load performance of a IRSOFC–GT hybrid power plant is poorer than that under full-Load Operation.

Mohamed L. Shaltout - One of the best experts on this subject based on the ideXlab platform.

  • Maximizing Wind Energy Capture for Speed-Constrained Wind Turbines During Partial Load Operation
    Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 2016
    Co-Authors: Victor Yu, Mohamed L. Shaltout, Matthew K. Chu Cheong, Dongmei Chen
    Abstract:

    With the development of wind turbine technology, more wind turbines operate in the partial Load region, where one of the main objectives is to maximize captured wind energy. This paper presents the development of an optimal control framework to maximize wind energy capture for wind turbines with limited rotor speed ranges. Numerical optimal control (NOC) techniques were applied to search for the achievable maximum power coefficient, thus maximum wind energy capture. Augmentations of these optimal techniques significantly reduced the computational cost. Simulation results show that, in comparison with the traditional torque feedback and conventional optimal control algorithms, the proposed augmented optimal control algorithm increases the harvested energy while minimizing the computational expense for speed-constrained wind turbines during partial Load Operation.

  • Optimal Real-Time Control of Wind Turbine During Partial Load Operation
    IEEE Transactions on Control Systems Technology, 2015
    Co-Authors: Z.y. Ma, Mohamed L. Shaltout, Zeyu Yan, Dongmei Chen
    Abstract:

    A wind turbine achieves its highest energy efficiency during partial Load Operation when it operates at the optimal tip speed ratio (TSR), thus the optimal power coefficient. In this paper, real-time controllers are developed to improve the performance of tracking the optimal TSR during partial Load Operation. Dynamic programming (DP) is first applied to determine the control actions that maximize wind energy capture. A DP-based real-time controller (DPRC) is then explored to overcome the high computational expense associated with DP, which limits DP to be an offline optimization algorithm. However, the DPRC is not robust against plant-model mismatch and model uncertainties. A gain-modified optimal torque controller (GMOTC) is subsequently designed as an alternative to the DPRC. The GMOTC applies internal Proportional-Integral technique to track a reference TSR, and adapts the reference TSR to the optimal TSR in real time to improve the controller robustness. The light detection and ranging technology is used to further strengthen the controller performance by providing reliable previewed wind speed measurements. Simulation results show that the DRPC generates more wind power than the standard torque controller (STC), while the GMOTC demonstrates a performance similar to that of the DRPC on wind power generation with much better robustness in the presence of modeling error. Fatigue Loading on a wind turbine is another important issue that needs to be considered during control design. The analysis shows that both the DRPC and the GMOTC are comparable with the STC in generating variable torsional Loads due to the torque commands.

  • adaptive gain modified optimal torque controller for wind turbine partial Load Operation
    Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization;, 2014
    Co-Authors: Mohamed L. Shaltout, Dongmei Chen
    Abstract:

    In this paper, an adaptive gain modified optimal torque controller (AGMOTC) is proposed and evaluated for wind turbine partial Load Operation. An internal PI technique is applied for gain scheduling in order to accelerate the controller response under volatile wind speed while the adaptive searching technique endows the controller with robust convergence to the optimal operating point under plant uncertainties. The light detection and ranging (LIDAR) technology is integrated with the AGMOTC to provide reliable previewed wind speed measurements. Simulations on the NREL 5MW wind turbine show that the LIDAR-enabled AGMOTC outperforms the baseline controller considering the wind energy yield. Additionally, the results show the impact of the proposed controller on the wind turbine fatigue Loads.Copyright © 2014 by ASME

  • adaptive gain modified optimal torque controller for wind turbine partial Load Operation
    Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization;, 2014
    Co-Authors: Mohamed L. Shaltout, Dongmei Chen
    Abstract:

    In this paper, an adaptive gain modified optimal torque controller (AGMOTC) is proposed and evaluated for wind turbine partial Load Operation. An internal PI technique is applied for gain scheduling in order to accelerate the controller response under volatile wind speed while the adaptive searching technique endows the controller with robust convergence to the optimal operating point under plant uncertainties. The light detection and ranging (LIDAR) technology is integrated with the AGMOTC to provide reliable previewed wind speed measurements. Simulations on the NREL 5MW wind turbine show that the LIDAR-enabled AGMOTC outperforms the baseline controller considering the wind energy yield. Additionally, the results show the impact of the proposed controller on the wind turbine fatigue Loads.Copyright © 2014 by ASME

Yong Tae Kang - One of the best experts on this subject based on the ideXlab platform.

  • energy consumption characteristics of an absorption chiller during the partial Load Operation
    International Journal of Refrigeration-revue Internationale Du Froid, 2004
    Co-Authors: Chan Woo Park, Jinhee Jeong, Yong Tae Kang
    Abstract:

    Abstract The objectives of this study are to analyze performance characteristics during partial Load Operation and to calculate energy consumption amount of H 2 O/LiBr absorption chiller with a capacity of 210 RT. The effect of cooling water flow rate and cooling water inlet temperature on the absorption performance and energy saving is quantified during the partial Load Operation. It is found that the performance of absorption system is more sensitive to the change of inlet water temperature rather than the cooling water flow rate. Even if the cooling water flow rate is reduced to 60% of the standard value, the capacity is recovered if the temperature of cooling water decreases about 2.0 °C. The pumping power of cooling water is 4 times higher than that of cooling tower during the partial Operation mode and the pumping power of cooling water becomes more significant with decreasing the partial Load. It is concluded that when the partial Load is in the range of 100–40%, the reduction of the required power by 23% can be realized by decreasing the cooling water inlet temperature of 1.0 °C.

  • energy consumption characteristics of an absorption chiller during the partial Load Operation
    International Journal of Refrigeration-revue Internationale Du Froid, 2004
    Co-Authors: Chan Woo Park, Jinhee Jeong, Yong Tae Kang
    Abstract:

    Abstract The objectives of this study are to analyze performance characteristics during partial Load Operation and to calculate energy consumption amount of H 2 O/LiBr absorption chiller with a capacity of 210 RT. The effect of cooling water flow rate and cooling water inlet temperature on the absorption performance and energy saving is quantified during the partial Load Operation. It is found that the performance of absorption system is more sensitive to the change of inlet water temperature rather than the cooling water flow rate. Even if the cooling water flow rate is reduced to 60% of the standard value, the capacity is recovered if the temperature of cooling water decreases about 2.0 °C. The pumping power of cooling water is 4 times higher than that of cooling tower during the partial Operation mode and the pumping power of cooling water becomes more significant with decreasing the partial Load. It is concluded that when the partial Load is in the range of 100–40%, the reduction of the required power by 23% can be realized by decreasing the cooling water inlet temperature of 1.0 °C.