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Performance assessment of a novel combined heating and power system based on transcritical CO_2 power and heat pump cycles using geothermal energy

机译:基于跨临界CO_2功率和热泵循环的新型组合加热和电力系统的性能评估使用地热能

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摘要

The combined heating and power technology is an encouraging measure to ameliorate energy utilization efficiency and meet the ever-growing heating and power demands in buildings. Meanwhile, transcritical CO2 cycles have been demonstrated to be powerful and ambitious competitors for exploitation of low-grade heat sources. In this paper, a novel geothermal driven cogeneration system is conceptually designed by coupling an ejector expansion compression heat pump cycle into a transcritical CO2 Rankine cycle. The system can simultaneously supply power, hot water and hot air. The mathematical model is built from the thermodynamic and economic perspectives under reasonable assumptions. Parametric study is first performed to assess relationships between key physical parameters and system performance. Results indicate that turbine inlet pressure is optimized in research scope for the greatest exergy efficiency. Decreasing turbine outlet pressure and increasing evaporation temperature can raise exergy efficiency but induce negligible influence on thermal efficiency. The optimal turbine outlet pressure and evaporation temperature exist to cause the lowest total product unit cost. Finally, the Non-dominated Sorting Genetic Algorithms-II is employed to execute multi-objective optimization with targeting to maximize system efficiencies and minimize total product unit cost. In the final optimal operating condition, the optimization results suggest 122.88%, 37.17% and 23.53 $/GJ for thermal efficiency, exergy efficiency and total product unit cost, respectively.
机译:组合的加热和电力技术是令人鼓舞的措施,以改善能源利用效率,并满足建筑物中不断增长的加热和电力需求。同时,已证明跨临界二氧化碳循环是强大而雄心勃勃的竞争对手,用于开发低级热源。本文通过将喷射器膨胀压缩热泵循环耦合到跨临界二氧化碳循环中,概念性地设计了一种新的地热驱动的热电联产系统。该系统可以同时供电,热水和热空气。在合理假设下,从热力学和经济角度构建数学模型。首先进行参数研究以评估关键物理参数和系统性能之间的关系。结果表明,涡轮机入口压力在最大的高效率的研究范围中得到了优化。减小涡轮机出口压力和蒸发温度的增加可以提高高度效率,但诱导对热效率的影响忽略不计。最佳的涡轮机出口压力和蒸发温度存在,以引起最低总产量的成本。最后,使用非主导的分类遗传算法-II来执行多目标优化,以实现系统效率最大化并最小化总产品单元成本。在最终的最佳运行条件下,优化结果分别建议热效率,高效率和总产品单位成本的122.88%,37.17%和23.53美元/ GJ。

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