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Sizing a Hybrid Renewable Energy System to Reduce Energy Costs at Various Levels of Robustness for an Industrial Site

机译:调整混合可再生能源系统的大小,以降低工业现场各种鲁棒性水平的能源成本

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The rising cost of energy in Australia is causing industry to look for energy sources other than the conventional grid. Industry has been slow to adopt non-dispatchable renewable sources partly because of their inherent variability, however their inclusion can reduce greenhouse gas emissions and energy costs. By using an alternative fuel production facility as a case study an installation of a hybrid renewable energy system is explored. This paper studies the effects of varying the robustness of the design with respect to load and renewable variability separately. Lithium ion battery packs are also included to act as a buffer in the system. The installation is modelled using a robust Mixed Integer Linear Programming (MILP) framework and the potential cost savings are quantified at various levels of robustness. Broad sizing guidelines are drawn from the results for the case study that should result in a robust energy supply.
机译:澳大利亚能源成本的上涨导致工业寻找常规电网以外的能源。工业界采用不可调度的可再生资源的速度一直很缓慢,部分原因是其固有的可变性,但是将其包括在内可以减少温室气体排放和能源成本。通过使用替代燃料生产设施作为案例研究,探索了混合可再生能源系统的安装。本文分别研究了针对负载和可再生可变性而改变设计稳健性的影响。还包括锂离子电池组,以充当系统中的缓冲器。使用健壮的混合整数线性规划(MILP)框架对安装进行建模,并在健壮性的各个级别上量化潜在的成本节省。从案例研究的结果中得出了广泛的选型准则,这应该导致强大的能源供应。

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