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Gas purification process in a geothermal power plant with total reinjection designed for the Larderello area

机译:热净化过程在地热发电厂,全面为乐兵区设计

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摘要

Many geothermal power plants require systems for steam washing and treatment of non-condensable gases (NGCs). Steam washing is an early-stage unit and the NCG treatment is performed before the reinjection. The paper describes the potential methods for those parts of the process and evaluates the approach of scrubbers and the associated models. The first model is developed for the steam washing scrubber, which eliminates the dissolved solids from the extracted steam. The energy analysis, steam loss, and the efficiency of removal are investigated and potential approaches to the H2S removal process are discussed. The second model is dedicated to the packed-bed acid-gas scrubber, which efficiently reduces the H2S content of NCGs before the reinjection into the reservoir. This model is a rate-based approach that considers all the reactions in parallel. Also, a comprehensive model for the sizing of the scrubbers is proposed. The case study is a binary geothermal power plant, designed for the area of Larderello, in which the extracted steam consists of 25 ppm dissolved solids. The power plant design includes the NCG reinjection system, having about 0.3% of H2S content. The design parameters are found to achieve solid removal efficiency higher than 90%, thus abating the dissolved solids in the steam to less than 3 ppm by the first scrubber. The performance of the selective H2S removal treatment is optimized by identifying the best operating parameters for the effective removal of the H2S and keep the CO2. The selectivity is calculated in various conditions considering recycle-ratio, caustic solution temperature, and caustic solution concentration. The configuration of the second scrubber is optimized with an H2S removal efficiency of about 99.96 percent, with a selectivity index around 10.
机译:许多地热发电厂需要用于蒸汽洗涤和治疗不可冷凝气体(NGC)的系统。蒸汽洗涤是早期单元,并在再注时进行NCG处理。本文描述了该过程的那些部分的潜在方法,并评估了洗涤器和相关模型的方法。第一模型是为蒸汽洗涤洗涤器开发的,其消除了来自提取的蒸汽的溶解固体。研究了能量分析,蒸汽损失和去除效率,并讨论了H2S去除过程的潜在方法。第二种模型专用于填充床酸性气体洗涤器,其在再注到储液器之前有效地降低了NCG的H2S含量。该模型是一种基于速率的方法,其并行地考虑所有反应。此外,提出了一种用于施用洗涤器尺寸的综合模型。案例研究是二进制地热发电厂,专为肉松区域设计,其中提取的蒸汽由25ppm溶解固体组成。电厂设计包括NCG再注系统,具有约0.3%的H2S含量。发现设计参数达到高于90%的固体去除效率,从而通过第一个洗涤器将蒸汽中的溶解固体减少至小于3ppm。通过识别用于有效移除H2S并保持CO2的最佳操作参数来优化选择性H2S去除处理的性能。考虑回收率,苛性溶胶温度和苛性溶液浓度的各种条件下计算选择性。第二洗涤器的构造优化,H2S去除效率为约99.96%,其选择性指数约为10。

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