介绍了一种新型的大规模蓄能技术——压缩空气蓄能(Compressed Air Energy Storage,CAES),CAES系统响应快、容量大、成本低、寿命长,逐渐成为了全球第二大蓄能技术。根据CAES系统的容量不同,将CAES系统划分为大型CAES、小型CAES和微型CA...介绍了一种新型的大规模蓄能技术——压缩空气蓄能(Compressed Air Energy Storage,CAES),CAES系统响应快、容量大、成本低、寿命长,逐渐成为了全球第二大蓄能技术。根据CAES系统的容量不同,将CAES系统划分为大型CAES、小型CAES和微型CAES 3种,并针对3种不同容量级的CAES,详细介绍了其组成及现状,对技术特点与难点和应用领域及场景进行了分析与概述。对CAES系统的研究方向与发展前景进行了展望。展开更多
考虑电动汽车(electric vehicle)及可再生能源不断并入综合能源系统,导致整个综合能源系统不确定性加大,进而产生能源利用不充分问题,提出含可再生能源与压缩空气储能(compressed air energy storage,CAES)电站的电热综合能源系统调度...考虑电动汽车(electric vehicle)及可再生能源不断并入综合能源系统,导致整个综合能源系统不确定性加大,进而产生能源利用不充分问题,提出含可再生能源与压缩空气储能(compressed air energy storage,CAES)电站的电热综合能源系统调度策略。根据电力负荷需求大小划分为2种调度模式,在能源端与储能端利用CAES与光热电站联合运行方式(solar and compressed air energy storage,S-CAES)增强电网与热网之间的耦合,实现不同能源之间的高效转换与利用;在负荷端将EV负荷按照其可控性分为有序、无序EV负荷,针对不同的模式给出S-CAES不同的运行功能并给出不同的优化调度模型。最后利用Matlab分别在不同负荷模式下进行仿真分析,与传统调度策略进行对比,仿真结果验证了所提策略在增加可再生能源消纳和减小综合成本等方面的有效性和优越性。展开更多
Besides pumped hydropower, Compressed Air Energy Storage (CAES) is the other solution for large energy storage capacity. It can balance fluctuations in supply and demand of electricity. CAES is essential part of smart...Besides pumped hydropower, Compressed Air Energy Storage (CAES) is the other solution for large energy storage capacity. It can balance fluctuations in supply and demand of electricity. CAES is essential part of smart power grids. Linked with the flow structure and dynamic characteristic of electricity generation subsystem and its components, a simulation model is proposed. Thermo-dynamical performance on off-design conditions have been analyzed with constant air mass flux and constant gas combustion temperature. Some simulation diagrams of curve are plotted too. The contrast of varied operation mode thermal performance is made between CAES power plant and simple gas turbine power plant.展开更多
It is usually to conduct a full-scale three-dimensional flow analysis for a radial turbine to find a way to increase the efficiency of a Compressed Air Energy Storage(CAES)system.However,long solving time and huge con...It is usually to conduct a full-scale three-dimensional flow analysis for a radial turbine to find a way to increase the efficiency of a Compressed Air Energy Storage(CAES)system.However,long solving time and huge consumption of computing resources become a major obstacle to the analysis.Therefore,in present study,a surrogate model with test data-based multi-layer perceptron(MLP)Neural Network is proposed to overcome the difficulty.Instead of complex flow field solving process,it provides reliable turbine aerodynamic performance and flow field distribution characteristics in a short solution time by“learning the measurement results”.The validation results illustrated that the predicted maximum relative errors of isentropic efficiency,corrected mass flow rate and corrected power are only 0.03%,0.22%and 0.26%respectively.The predicted flow distribution parameters in chamber,shroud cavity and outlet region of rotor are also basically consistent with the experimental results.In the chamber,it can be found that a pressure stagnation point is observed at circumferential angle of 270°when total pressure ratio is decreased.In the shroud cavity,obvious pressure variation is found near outlet of shroud cavity which although labyrinth seals exist.At outlet of rotor,obvious variations of velocity and pressure are found in the 0.0–0.4 and 0.6–0.8 of blade height.At the same time,obvious variations of velocity and pressure are found in the 0.0–0.4 and 0.6–0.8 of blade height and this is because the influence of upper passage vortex,lower passage vortex and end wall secondary flow.The present study can provide further reference for the dynamic performance evaluation of CAES radial inflow turbine.展开更多
【目的】压气储能(compressed air energy storage,CAES)是利用电能和压缩空气势能相互转化来平衡电网波动的新型储能系统。CAES电站建造及运行相关经验的积累对CAES技术的发展具有重要意义。针对建造过程中设计方与现场信息传递效率低...【目的】压气储能(compressed air energy storage,CAES)是利用电能和压缩空气势能相互转化来平衡电网波动的新型储能系统。CAES电站建造及运行相关经验的积累对CAES技术的发展具有重要意义。针对建造过程中设计方与现场信息传递效率低、施工方管控难度大、项目整体流程监督难等问题,提出了一种适用于CAES电站的全流程智能体系。【方法】首先,分析CAES电站的建造流程,找出其工程特点。其次,围绕CAES电站从设计到运维的全过程,在空间和时间维度构建CAES电站的全流程智能建造体系。最后,在设计阶段提出正向设计出图等关键技术;在装备制造阶段提出设备虚拟预组装等关键技术;在施工阶段提出5D施工管理等关键技术;在运维阶段提出面向运维的数据交付等关键技术。【结果】对某300 MW级CAES示范工程的验证结果表明,CAES电站全流程智能体系的构建具有合理性,且关键设备及软件的应用为项目提供了技术支撑。【结论】通过CAES电站全流程智能体系及其关键技术,打通了电站建造各阶段的互通链条,实现了CAES电站的全生命周期信息管理。展开更多
文摘介绍了一种新型的大规模蓄能技术——压缩空气蓄能(Compressed Air Energy Storage,CAES),CAES系统响应快、容量大、成本低、寿命长,逐渐成为了全球第二大蓄能技术。根据CAES系统的容量不同,将CAES系统划分为大型CAES、小型CAES和微型CAES 3种,并针对3种不同容量级的CAES,详细介绍了其组成及现状,对技术特点与难点和应用领域及场景进行了分析与概述。对CAES系统的研究方向与发展前景进行了展望。
文摘考虑电动汽车(electric vehicle)及可再生能源不断并入综合能源系统,导致整个综合能源系统不确定性加大,进而产生能源利用不充分问题,提出含可再生能源与压缩空气储能(compressed air energy storage,CAES)电站的电热综合能源系统调度策略。根据电力负荷需求大小划分为2种调度模式,在能源端与储能端利用CAES与光热电站联合运行方式(solar and compressed air energy storage,S-CAES)增强电网与热网之间的耦合,实现不同能源之间的高效转换与利用;在负荷端将EV负荷按照其可控性分为有序、无序EV负荷,针对不同的模式给出S-CAES不同的运行功能并给出不同的优化调度模型。最后利用Matlab分别在不同负荷模式下进行仿真分析,与传统调度策略进行对比,仿真结果验证了所提策略在增加可再生能源消纳和减小综合成本等方面的有效性和优越性。
基金National Key R&D Plan(2017YFB0903602)The frontier science research project of CAS(QYZDB-SSW-JSC023)Transformational Technologies for Clean Energy and Demonstration,Strategic Priority Research Program of the Chinese Academy of Sciences(XDA21070200)
文摘Besides pumped hydropower, Compressed Air Energy Storage (CAES) is the other solution for large energy storage capacity. It can balance fluctuations in supply and demand of electricity. CAES is essential part of smart power grids. Linked with the flow structure and dynamic characteristic of electricity generation subsystem and its components, a simulation model is proposed. Thermo-dynamical performance on off-design conditions have been analyzed with constant air mass flux and constant gas combustion temperature. Some simulation diagrams of curve are plotted too. The contrast of varied operation mode thermal performance is made between CAES power plant and simple gas turbine power plant.
基金supported by Strategic Priority Research Program of the Chinses Academy of Sciences(51925604)National Natural Science Foundation of China(51806211)The Science and Technology Foundation of Guizhou Province(No.[2019]1285).
文摘It is usually to conduct a full-scale three-dimensional flow analysis for a radial turbine to find a way to increase the efficiency of a Compressed Air Energy Storage(CAES)system.However,long solving time and huge consumption of computing resources become a major obstacle to the analysis.Therefore,in present study,a surrogate model with test data-based multi-layer perceptron(MLP)Neural Network is proposed to overcome the difficulty.Instead of complex flow field solving process,it provides reliable turbine aerodynamic performance and flow field distribution characteristics in a short solution time by“learning the measurement results”.The validation results illustrated that the predicted maximum relative errors of isentropic efficiency,corrected mass flow rate and corrected power are only 0.03%,0.22%and 0.26%respectively.The predicted flow distribution parameters in chamber,shroud cavity and outlet region of rotor are also basically consistent with the experimental results.In the chamber,it can be found that a pressure stagnation point is observed at circumferential angle of 270°when total pressure ratio is decreased.In the shroud cavity,obvious pressure variation is found near outlet of shroud cavity which although labyrinth seals exist.At outlet of rotor,obvious variations of velocity and pressure are found in the 0.0–0.4 and 0.6–0.8 of blade height.At the same time,obvious variations of velocity and pressure are found in the 0.0–0.4 and 0.6–0.8 of blade height and this is because the influence of upper passage vortex,lower passage vortex and end wall secondary flow.The present study can provide further reference for the dynamic performance evaluation of CAES radial inflow turbine.
文摘【目的】压气储能(compressed air energy storage,CAES)是利用电能和压缩空气势能相互转化来平衡电网波动的新型储能系统。CAES电站建造及运行相关经验的积累对CAES技术的发展具有重要意义。针对建造过程中设计方与现场信息传递效率低、施工方管控难度大、项目整体流程监督难等问题,提出了一种适用于CAES电站的全流程智能体系。【方法】首先,分析CAES电站的建造流程,找出其工程特点。其次,围绕CAES电站从设计到运维的全过程,在空间和时间维度构建CAES电站的全流程智能建造体系。最后,在设计阶段提出正向设计出图等关键技术;在装备制造阶段提出设备虚拟预组装等关键技术;在施工阶段提出5D施工管理等关键技术;在运维阶段提出面向运维的数据交付等关键技术。【结果】对某300 MW级CAES示范工程的验证结果表明,CAES电站全流程智能体系的构建具有合理性,且关键设备及软件的应用为项目提供了技术支撑。【结论】通过CAES电站全流程智能体系及其关键技术,打通了电站建造各阶段的互通链条,实现了CAES电站的全生命周期信息管理。