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Bi-Multiperiod Optimization of Industrial Cooling Systems
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2021-06-11 , DOI: 10.1021/acs.iecr.1c00488 Liu Bo 1 , Wang Yufei 1 , Feng Xiao 2 , Han Yijie 3
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2021-06-11 , DOI: 10.1021/acs.iecr.1c00488 Liu Bo 1 , Wang Yufei 1 , Feng Xiao 2 , Han Yijie 3
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In many chemical plants, a variety of cooling systems, including circulating cooling water systems and air coolers, are widely used to remove industrial waste heat. Current approaches for the design and optimization of these systems have focused on the use of constant parameters, including fixed temperature and energy price. Moreover, the ever-changing weather conditions play a major role in the design of cooler water systems and air coolers, leading to an unbalanced problem formulation that attempts to solve a complex problem with minimum rigor. Therefore, the concept of bi-multiperiod optimization is proposed to describe the daily/monthly change of weather conditions, as well as the fluctuation of electricity price during peak and off-peak periods within a day. The aim of this work is to obtain an economically optimal cooling system design under bi-multiperiod conditions by reasonably configuring both water coolers and air coolers. A mixed integer nonlinear programming (MINLP) model was established to obtain the optimal configuration. A case study derived from the literature shows that the optimized cooling network configuration using the proposed method is more economic than the deterministic design, the cooling water consumption is reduced by 5%, and the total cost is reduced by more than 9%.
中文翻译：
工业冷却系统的双多周期优化
在许多化工厂中，广泛使用各种冷却系统，包括循环冷却水系统和空气冷却器，以去除工业废热。目前设计和优化这些系统的方法集中在使用恒定参数，包括固定温度和能源价格。此外，不断变化的天气条件在冷却水系统和空气冷却器的设计中发挥着重要作用，导致试图以最小的严谨性解决复杂问题的不平衡问题表述。因此，提出双多期优化的概念来描述天气条件的日/月变化，以及一天内高峰和非高峰时段的电价波动。这项工作的目的是通过合理配置水冷却器和空气冷却器，在双多周期条件下获得经济上最优的冷却系统设计。建立混合整数非线性规划（MINLP）模型以获得最优配置。来自文献的案例研究表明，使用该方法优化的冷却网络配置比确定性设计更经济，冷却水消耗降低5%，总成本降低9%以上。
更新日期：2021-06-23
中文翻译：
工业冷却系统的双多周期优化
在许多化工厂中，广泛使用各种冷却系统，包括循环冷却水系统和空气冷却器，以去除工业废热。目前设计和优化这些系统的方法集中在使用恒定参数，包括固定温度和能源价格。此外，不断变化的天气条件在冷却水系统和空气冷却器的设计中发挥着重要作用，导致试图以最小的严谨性解决复杂问题的不平衡问题表述。因此，提出双多期优化的概念来描述天气条件的日/月变化，以及一天内高峰和非高峰时段的电价波动。这项工作的目的是通过合理配置水冷却器和空气冷却器，在双多周期条件下获得经济上最优的冷却系统设计。建立混合整数非线性规划（MINLP）模型以获得最优配置。来自文献的案例研究表明，使用该方法优化的冷却网络配置比确定性设计更经济，冷却水消耗降低5%，总成本降低9%以上。
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