Dynamic and thermodynamic characteristics of a linear Joule engine generator with different operating conditions

Dynamic and thermodynamic characteristics of a linear Joule engine generator with different operating conditions
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DOI:
10.1016/j.enconman.2018.07.098
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发表时间:
2018-10-01
影响因子:
10.4
通讯作者:
Roskilly, Anthony Paul
Roskilly, Anthony Paul
中科院分区:
工程技术1区
文献类型:
--
作者:
Jia, Boru;Wu, Dawei;Roskilly, Anthony Paul

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线性焦耳发动机发电机是由线性膨胀机、线性压缩机和线性交流发电机组成的能量转换系统。它适用于可变的可再生能源燃料源,如生物燃料,氢和氨,在本文中,在不同的操作条件下的系统动力学和热力学特性的调查。辨识出系统压力、气门正时和阻力系数等真实的可调参数。它们对膨胀机的指示功率、从线性交流发电机输出的电功率和能量转换效率的影响使用经验证的数值模型来仔细检查。为了实现系统的稳定运行,每个参数都被控制在实际范围内,并进行优化,以最大限度地提高发电效率。系统压力是影响系统输出功率的最有效参数。现有尺寸的膨胀机通过调节系统压力可使指示功率达到11.0 kW,仅通过调整阀定时或优化电阻力系数不能使指示功率超过8.0 kW。电阻力的系数被认为是最有影响力的参数,以最大限度地提高发电效率高达80%。
The Linear Joule Engine Generator is an energy conversion system made up from a linear expander, a linear compressor, and a linear alternator. It is adaptable to variable renewable energy fuel sources, e.g. biogases, biofuels, hydrogen and ammonia, etc. In this paper, an investigation on the system dynamics and thermodynamic characteristics under different operating conditions is presented. Real time adjustable parameters were identified, i.e. the system pressure, the valve timings, and the coefficient of electric resistance force. Their influence on the indicated power of the expander, the electric power output from the linear alternator and the energy conversion efficiency are scrutinised using a validated numerical model. In order to achieve stable operation of the system, each parameter is controlled within a practical range, and optimised to maximise the electricity generation efficiency. The system pressure was proved to be the most effective parameter to alter the system power output. The indicated power of the expander with the existing dimensions can reach up to 11.0 kW by adjusting the system pressure, and it cannot exceed 8.0 kW by just tuning valve timings or optimising the coefficient of electric resistance force. The coefficient of electric resistance force is found to be the most influential parameter to maximise the electricity generation efficiency up to 80%.