基于有机朗肯循环的压缩机驱动负载优化分配

M. Bianchi, L. Branchini, A. D. Pascale, F. Melino, A. Peretto, N. Torricelli, R. Kurz, D. Sanchez, N. Rossetti, T. Ferrari
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引用次数: 0

摘要

从长远来看,天然气需求预计将继续增长,天然气分销网络也将随之扩大。气体沿管道压缩通常在燃气轮机驱动的离心式压缩机中进行。在一个典型的装置中,与天然气一起引入的一次能源的很大一部分与燃气轮机废气一起排放到大气中,作为废热。由于过去几年的重大投资,研究压缩站的解决方案,以降低一次能源消耗和运行成本是主要的兴趣。提高工艺效率,实现上述目标的一种有希望的方法是回收压缩机驱动器的废热,并通过有机朗肯循环(ORC)将其转化为机械能或电能。本文研究了利用ORC作为余热回收技术,在站内增加额外压缩机容量的可行性。特别地,作者提出了一种确定底部循环最优大小的方法,并重新定义了车站内司机负荷的最优分布。该策略包括解决最小约束问题,例如在燃气轮机和ORC之间重新分配负载,以最小化站的燃料消耗。该问题的约束条件是系统的负载平衡和各机组的调节极限。目标是:(i)确定要安装的ORC和电动驱动压缩机的最佳尺寸;(ii)根据压缩机的年度运行情况,重新界定负荷的最佳分配;(iii)与原有设施相比,以避免排放二氧化碳来量化节省的环境效益;(iv)在其他方面(例如碳税)存在的情况下评估经济可行性。以一个典型的州际燃气压缩站为例,该站安装了约24mw的机械驱动器。研究结果表明,对于所调查的案例研究,最佳ORC尺寸接近5.3 MW,这相当于可以为ORC驱动的压缩机提供4.8 MW的额外压缩机功耗。因此,由此产生的ORC设计允许生产-通过一个电动机发电机,连接ORC和用户- 18%的年度站机械能源需求。与原来的安排相比,减少了22%的二氧化碳排放量。拟议解决方案的经济可行性很大程度上取决于天然气成本和征收的碳税。正如预期的那样,更高的价格会导致更高的避免成本,从而带来更高的节省和更短的投资回收期(4年),而低天然气价格和无碳税可以将投资回收期延长至20年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Load Allocation of Compressors Drivers Taking Advantage of Organic Rankine Cycle As WHR Solution
Natural gas demand is projected to continue growing in the long-run and the gas distribution networks are intended to expand with it. The gas compression, along the pipeline, is usually performed in centrifugal compressors driven by gas turbines. In a typical installation, a significant portion of primary energy introduced with natural gas is discharged into the atmosphere with gas turbine exhaust gases, as wasted heat. Since the important investment of the last years, it is of major interest to study solutions for compressor stations, in order to reduce the primary energy consumption and the operative costs. A promising way to enhance the process efficiency, achieving the aforementioned goals, involves recovering compressors drivers wasted heat and converting it into mechanical or electrical energy through an Organic Rankine Cycle (ORC). In this study, the feasibility of adding additional compressor capacity inside the station, with the help of an ORC, as waste heat recovery technology, is studied. In particular, the Authors propose a procedure to identify the bottomer cycle optimal size and to re-define the optimal distribution of driver’s loads inside the station. The strategy consists in the resolution of a minimum constrained problem, such as the loads are re-allocated between gas turbines and ORC, in order to minimize the fuel consumption of the station. Constraints of the problem are the load balance of the system and the regulation limits of each units. The objectives are: (i) to identify the optimal sizes for ORC and electric motor driven compressor to be installed; (ii) to redefine the optimal distribution of the loads based on an annual operating profile of compressors; (iii) to quantify the environmental savings in terms of CO2 avoided compared to the original set-up of the facility; (iv) to assess the economic feasibility in the presence of additional aspects, as, for example, a carbon tax. A typical interstate gas compressor station, with about 24 MW of mechanical drivers installed is taken as case study. Results of the study show that, for the investigated case study, the optimal ORC size turns out to be close to 5.3 MW, which correspond to an additional compressor power consumption of 4.8 MW that can be provided to the ORC driven compressor. Thus, resulting ORC design allows to produce — via an electric motor generator, connecting the ORC and the user — the 18 % of the yearly station mechanical energy demand. A reduction of 22 % of CO2 emissions, compared to the original arrangement is achieved. The economic feasibility of the proposed solution turns out to be very dependent on the natural gas cost and on the carbon tax, if applied. As expected, higher prices lead to higher avoided costs, thus to higher saving and lower payback periods (4 years), whilst low gas prices and no carbon tax can increase the payback period up to 20 years.
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