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flexible operation Mode of Coal-fired Power Unit Coupling with Heat Storage of Extracted Reheat Steam

Journal of Thermal Science 2022年第2期31卷 436-447页

作者： WEI Haijiao LU Yuanwei YANG Yanchun ZHANG Cancan WU Yuting LI Weidong ZHAO Dongming MOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation Beijing Key Laboratory of Heat Transfer and Energy ConversionFaculty of Environment and LifeBeijing University of TechnologyBeijing 100124China China Huaneng Group Clean Energy Research Institute Co.Ltd Beijing 102209China

In order to provide more grid space for the renewable energy power,the traditional coal-fired power unit should be operated flexibility,especially achieved the deep peak shaving *** this paper,a new scheme using the reheat steam extraction is proposed to further reduce the load far below 50%rated *** flexible operation modes of increasing power output mode and reducing fuel mode are proposed in heat discharging process.A 600 MW coal-fired power unit with 50%rated power is chosen as the research *** results show that the power output is decreased from 300.03 MW to 210.07 MW when the extracted reheat steam flow rate is 270.70 t·h^(-1),which increases the deep peak shaving capacity by 15%rated *** deep peak shaving time and the thermal efficiency are 7.63 h·d^(-1)and 36.91%respectively for the increasing power output mode,and they are 7.24 h·d^(-1)and 36.58%respectively for the reducing fuel *** increasing power output mode has the advantages of higher deep peak shaving time and the thermal efficiency,which is recommended as the preferred scheme for the flexible operation of the coal-fired power unit.

关键词： coal-fired power unit flexible operation deep peak shaving extracted reheat steam heat storage

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Synergetic process between wind power and sewage sludge pyrolysis in a novel renewable-energy microgrid system

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Clean Energy 2023年第3期7卷 493-508页

作者： Chang Liu Jiankun Zhuo Yanfeng He Shuiqing Li Qiang Yao Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Tsinghua UniversityBeijing 100084China Beijing Engineering Research Center for Ecological Restoration and Carbon Fixation of Saline-alkaline and Desert Land Tsinghua UniversityBeijing 100084China

To relieve the stress of sewage sludge(SS)disposal and effectively increase the use of renewable energy,a novel renewable-energy microgrid system(REMS)was developed,specifically designed to integrate a wind power plant(WPP)with energy storage and the SS pyrolysis process for heat and power *** on a lab-scale pyrolysis experiment and 7-day numerical analysis,we studied the energy-recycling potential of SS and simulated the operational behaviours of *** to the results,the calorific values of the pyrolytic gaseous and liquid products were better than those of the raw material,at 16.19 and 33.53 MJ/kg,*** proposed REMS performed well in power supply and energy utilization with a design performance index of 99.23 when the WPP capacity was 200 MWe and the initial wind-energy curtailment rate was 30%.It indicates that by converting SS into flammable gas,condensable liquid and carbon-rich solid residue,curtailed wind energy could be saved and the synergy between wind power and the SS pyrolysis process enabled the proposed microgrid system to effectively utilize renewable energy and provide reliable on-demand power *** REMS installed with a 155-MWe WPP achieved the optimal design in system performance,environmental benefit and construction cost under the initial wind-curtailment rate of 34.12%.The design scheme makes REMS capable of satisfying the 15.10-GWh power demand of end users and the 1700-t/day SS disposal need,and the curtailed wind energy could be reduced to zero.

关键词： sewage sludge pyrolysis wind power microgrid flexible operation

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The hybrid MPC-MINLP algorithm for optimal operation of coal-fired power plants with solvent based post-combustion CO_(2) capture

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Petroleum 2017年第1期3卷 155-166页

作者： Norhuda Abdul Manaf Abdul Qadir Ali Abbas School of Chemical and Biomolecular Engineering The University of SydneySydney 2006Australia

This paper presents an algorithm that combines model predictive control(MPC)with MINLP optimization and demonstrates its application for coal-fired power plants retrofitted with solvent based post-combustion CO_(2) capture(PCC)*** objective function of the optimization algorithm works at a primary level to maximize plant economic revenue while considering an optimal carbon capture *** a secondary level,the MPC algorithm is used to control the performance of the PCC *** techno-economic scenarios based on fixed(capture rate is constant)and flexible(capture rate is variable)operation modes are developed using actual electricity prices(2011)with fixed carbon prices($AUD 5,25,50/tonne-CO_(2))for 24 h *** show that fixed operation mode can bring about a ratio of net operating revenue deficit at an average of 6%against the superior flexible operation mode.

关键词： Carbon capture PCC flexible operation Modeling Algorithm Optimization

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