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A study of the feasibility of using mathematical optimisation to minimise the temperature in a smelter pot room

机译：关于使用数学优化来最小化冶炼厂锅房温度的可行性的研究

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摘要

Health hazards arise in large industrial workshops (such as aluminium pot rooms) due to the production of heat by the process equipment inside these workshops, which leads to high temperatures around these pieces of equipment. The heat production is sometimes accompanied by the release of polluting gases and dust particles that are dispersed throughout the workshop. The only large-scale and cost-effective way to ventilate these workshops is through natural ventilation. The effectiveness of the ventilation depends on the architectural shape of the building, the heat source locations and the openings of the windows, louvers and/or roof ventilators through which the air is allowed to enter and exit. This paper describes the investigation into the feasibility of using mathematical optimisation to determine the ideal window slat angles for different prevailing wind conditions. The proposed optimisation methodology employs computational fluid dynamics software (FLUENT), coupled to a computationally economic optimisation algorithm (Dynamic-Q) to determine the optimum slat angles to minimise the maximum temperature. The results of this feasibility study on a large-scale aluminium smelter pot room in Inota, Hungary, show that this is a viable methodology to determine the optimum inlet configuration.
机译：在大型工业车间（例如铝制锅房）中，由于这些车间内的过程设备产生的热量会导致健康危险，从而导致这些设备周围的高温。热量的产生有时伴随着散布在整个车间内的污染气体和灰尘颗粒的释放。使这些车间通风的唯一大规模且经济高效的方法是通过自然通风。通风的效率取决于建筑物的建筑形状，热源位置以及窗户，百叶窗和/或屋顶通风机的开口，允许空气进入和排出。本文介绍了对使用数学优化来确定不同盛行风况下理想窗扇角度的可行性的研究。所提出的优化方法采用计算流体动力学软件（FLUENT），再结合计算经济优化算法（Dynamic-Q）来确定最佳板条角度，以最大程度地降低最高温度。在匈牙利Inota的大型铝冶炼厂锅房进行的可行性研究结果表明，这是确定最佳进口配置的可行方法。

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