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A review of optimization approaches for controlling water-cooled central cooling systems

机译：控制水冷中央冷却系统优化方法综述

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摘要

Buildings consume a large amount of energy across all sectors of society, and a large proportion of building energy is used by HVAC systems to provide a comfortable and healthy indoor environment. In medium and largesize buildings, the central cooling system accounts for a major share of the energy consumption of the HVAC system. Improving the cooling system efficiency has gained much attention as the reduction of cooling system energy use can effectively contribute to environmental sustainability. The control and operation play an important role in central cooling system energy efficiency under dynamic working conditions. It has been proven that optimization of the control of the central cooling system can notably reduce the energy consumption of the system and mitigate greenhouse gas emissions. In recent years, numerous studies focus on this topic to improve the performance of optimal control in different aspects (e.g., energy efficiency, stability, robustness, and computation efficiency). This paper provides an up-to-date overview of the research and development of optimization approaches for controlling water-cooled central cooling systems, helping readers to understand the new significant trends and achievements in this area. The optimization approaches have been classified as systemmodel-based and data-based. In this paper, the optimization methodology is introduced first by summarizing the key decision variables, objective function, constraints, and optimization algorithms. The principle and performance of various optimization approaches are then summarized and compared according to their classification. Finally, the challenges and development trends for optimal control of water-cooled central cooling systems are discussed.
机译：建筑物在所有社会部门消耗大量的能量，HVAC系统使用大部分建筑能量，以提供舒适健康的室内环境。中央冷却系统在中等和奠基，中央冷却系统占HVAC系统能耗的主要份额。随着冷却系统的降低能够有效地促进环境可持续性，提高冷却系统效率已经获得了很多关注。控制和操作在动态工作条件下在中央冷却系统能效起作用。已经证明，优化中央冷却系统的控制可以显着降低系统的能量消耗并减轻温室气体排放。近年来，许多研究侧重于本主题，以改善不同方面的最佳控制的性能（例如，能效，稳定性，鲁棒性和计算效率）。本文提供了控制水冷中央冷却系统的优化方法的最新概述，帮助读者了解这一领域的新重大趋势和成就。优化方法已被归类为基于SystemModel和基于数据的。在本文中，首先通过总结关键决策变量，目标函数，约束和优化算法来首先介绍优化方法。然后总结各种优化方法的原理和性能并根据其分类进行比较。最后，讨论了对水冷中央冷却系统的最佳控制的挑战和发展趋势。

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