Energy and LCC Optimised Design of Compressed Air Systems: A Mixed Integer Optimisation Approach with General Applicability

H. Fridén, L. Bergfors, A. Björk, E. Mazharsolook
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引用次数: 9

Abstract

Compressed air systems account for much of the total energy use by European industries. Air compressors alone account for over 10% of UK industrial energy use (>;15,000 GWh). Many of these systems are not optimized to save energy and money, and to have more reliable compressed air power. We present here an integrated optimization solution for the design of such systems. The input to the design procedure is an audit of the air usage pattern and the user defined requirements of the compressed air system. A multi-objective optimiser proposes a design solution. It generates candidate system configurations with alternative equipment, minimises, on-the-fly, the energy use of these using a SIMULINK simulator, computes predicted lifecycle cost, and selects the configuration which meets the specifications and gives the lowest 10 year life-cycle cost.
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压缩空气系统的能量和LCC优化设计:一种具有普遍适用性的混合整数优化方法
压缩空气系统占欧洲工业总能耗的很大一部分。仅空气压缩机就占英国工业能源使用量的10%以上(>;15,000 GWh)。这些系统中的许多都没有经过优化,以节省能源和金钱,并有更可靠的压缩空气动力。在此,我们提出了一种用于此类系统设计的集成优化方案。设计程序的输入是对空气使用模式和用户定义的压缩空气系统要求的审计。一个多目标优化器提出了一个设计方案。它生成备选设备的候选系统配置,使用SIMULINK模拟器实时最小化这些设备的能源消耗,计算预测的生命周期成本,并选择符合规格的配置,并给出最低的10年生命周期成本。
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