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    Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting 

    Source: Journal of Engineering for Gas Turbines and Power:;2012:;volume( 134 ):;issue: 012:;page 124501
    Author(s): Junrong Xia; Pan Zhao; Yiping Dai
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Due to the intermittence and fluctuation of wind resource, the integration of large wind farms in a power grid always brings challenges to maintain the stability of a power system. Integrating ...
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    Thermodynamic Comparison and Optimization of Supercritical CO2 Brayton Cycles with a Bottoming Transcritical CO2 Cycle 

    Source: Journal of Energy Engineering:;2016:;Volume ( 142 ):;issue: 003
    Author(s): Xurong Wang; Jiangfeng Wang; Pan Zhao; Yiping Dai
    Publisher: American Society of Civil Engineers
    Abstract: This study investigated the feasibility of a combined cycle comprising a topping SCO2 cycle and a bottoming TCO2 cycle (SCO2-TCO2 cycle). A simple SCO2 cycle and a recompression SCO2 cycle were considered as the topping ...
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    Thermodynamic Comparison and Optimization of Supercritical CO2 Brayton Cycles with a Bottoming Transcritical CO2 Cycle 

    Source: Journal of Energy Engineering:;2016:;Volume ( 142 ):;issue: 003
    Author(s): Xurong Wang; Jiangfeng Wang; Pan Zhao; Yiping Dai
    Publisher: American Society of Civil Engineers
    Abstract: This study investigated the feasibility of a combined cycle comprising a topping
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    Thermodynamic, Economic Analysis, and Multiobjective Optimization of a Novel Transcritical CO2 Rankine Cycle with a Vortex Tube 

    Source: Journal of Energy Engineering:;2021:;Volume ( 148 ):;issue: 001:;page 04021061
    Author(s): Jiangfeng Wang; Guanglin Liao; Qiyao Zuo; Yumin Guo; Pan Zhao; Yiping Dai
    Publisher: ASCE
    Abstract: The transcritical CO2 (TCO2) Rankine cycle has been receiving more and more attention for the lower irreversible losses and the excellent thermophysical characters of CO2. However, it is hard to condense CO2 to liquid due ...
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    Machine Learning–Based Fault Detection and Diagnosis of Organic Rankine Cycle System for Waste-Heat Recovery 

    Source: Journal of Energy Engineering:;2021:;Volume ( 147 ):;issue: 004:;page 04021016-1
    Author(s): Jiangfeng Wang; Qiyao Zuo; Guanglin Liao; Fang Luo; Pan Zhao; Weifeng Wu; Zhilong He; Yiping Dai
    Publisher: ASCE
    Abstract: Utilizing the organic Rankine cycle (ORC) for waste heat recovery is an important energy conversion method. Some faults may occur in the ORC in actual operation, but few studies have focused on the fault detection and ...
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