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Reducing the energy consumption and CO_2 emissions of energy intensive industries through decision support systems - An example of application to the steel industry

机译：通过决策支持系统降低能源密集型行业的能耗和CO_2排放-在钢铁行业的应用示例

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摘要

The management of process industries is becoming in the recent years more and more challenging, given the stringent environmental policies as well as raising energy costs and the always-present drive for profit. A way to help plant decision makers in their daily choices is to refer to decision-support tools, which can give advice on the best practices on how to operate a plant in order to reduce the energy consumption and the CO_2 emissions keeping at the same time the costs under control. Such an approach can be useful in a variety of industries, particularly the most energy-intensive ones such as iron and steel industries. In this paper, an approach to the realisation of a software system, which allows to generate internal reports on the plant performances, as well as to simulate the plant behaviour in different scenarios, is described. The main production processes (coke plant, blast furnace, steel shop, hot rolling mill) are described and simulated focusing on the prediction of products flow rates and composition, energy consumption and GHGs (Greenhouse Gases) emissions in different operating conditions. The importance of a correct management of the CO_2 within the plant is underlined, particularly with regard to the new EU Emission Trading System, which will be based on European benchmarks. The software tool is illustrated and a case study is included, which focuses on the simultaneous minimisation of the CO_2 emissions and maximisation of the profit through an optimised management of the by-product gases. The results from the case study show a good potential for process improvement, by a reduction in the cost and environmental impact.
机译：近年来，由于严格的环境政策以及不断提高的能源成本和始终存在的利润驱动力，加工行业的管理变得越来越具有挑战性。帮助工厂决策者日常选择的一种方法是参考决策支持工具，该工具可以就如何操作工厂以同时降低能耗和减少CO_2排放的最佳做法提供建议成本得到控制。这种方法可用于多种行业，尤其​​是能源消耗最大的行业，例如钢铁行业。在本文中，描述了一种实现软件系统的方法，该方法允许生成有关工厂绩效的内部报告，并可以模拟不同场景下的工厂行为。描述并模拟了主要生产过程（焦化厂，高炉，钢铁厂，热轧机），重点是预测不同操作条件下产品的流量和组成，能耗和温室气体排放量。强调了对工厂内CO_2进行正确管理的重要性，特别是对于新的欧盟排放交易系统，该系统将基于欧洲基准。图示了该软件工具，并包括了一个案例研究，该案例研究的重点是通过优化副产物气体的管理同时减少CO_2排放并实现利润最大化。案例研究的结果表明，通过降低成本和对环境的影响，工艺改进的潜力很大。

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