Modelling and implementing smart micro-grids for fish-processing industry
Modelling and implementing smart micro-grids for fish-processing industry
复制标题
鱼类加工业智能微电网的建模和实施
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Y. Rezgui
中科院分区：
文献类型：
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作者：
Ateyah Alzahrani;I. Petri;Y. Rezgui
鱼类加工业涉及使用能源密集型设备，如冰箱、空调和制冰机，导致能源成本高，并间接增加碳排放。由于大多数渔场都是老旧的，因此迫切需要使它们更具可持续性，并在能源市场上取得经济竞争力。微电网已成为能源密集型行业的有效解决方案，大大平衡了不同规模的能源消费和生产。智能微电网还可以通过使用可再生能源和应用智能能源管理技术来减少碳排放。在本文中，我们提出了一种用于鱼类加工业的智能微电网系统，并在英国南威尔士的米尔福德港进行了验证用例。该系统使用EnergyPlus和Matlab进行建模，其中包含无限电网、可再生能源、电池和充放电控制器，用于优化能源消耗和生产，并减少碳排放。初步结果表明，通过实施智能能源管理技术来支持鱼类加工业的决策，当地电力需求可以满足当地发电。
Fish processing industries involve the usage of energy-intensive equipment, such as refrigerators, air conditioners and ice making machines leading to high energy costs and, indirectly, to an increase of the carbon emissions. As most fish industries sites are old, there is a strong need to make them more sustainable and achieve economic competitiveness in the energy market. Micro-grids have been utilised as efficient solutions in energy-intensive industries greatly balancing energy consumption and production at different scales. Smart micro-grids can also reduce carbon emissions by using renewable energy resources and applying smart energy management techniques.In this paper, we propose a smart micro-grid system for fish-processing industries with a validation use-case at Milford Haven Port in South Wales, UK. The system has been modelled using EnergyPlus and Matlab with the infinite grid, renewable energy resource, battery and charge/discharge controllers utilized for optimising energy consumption and production and for reducing carbon emissions. The preliminary results show that local power demand can meet the local power generation with the implementation of smart energy management techniques to support decision making for fish-processing industries.