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Uncertainty-based robust optimal design of cleanroom air-conditioning systems considering life-cycle performance

机译：考虑生命周期性能的洁净室空调系统的不确定性鲁棒优化设计

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摘要

Strict and simultaneous space temperature and humidity controls are often required in many applications, such as hospitals, laboratories, cleanrooms for pharmaceutical and semiconductor manufacturing. The energy intensity in such applications can be up to 100 times than typical office buildings, mainly due to the improper system design and control. Although some uncertainty-based design methods have been developed for air-conditioning systems, most of the existing systems are designed based on a certain ventilation mode while neglecting the life-cycle performance of the components. This study, therefore, proposes a robust optimal design method for cleanroom air-conditioning systems, considering the uncertainties in design parameters for inputs and operation strategies as well as the life-cycle performance of components. An adaptive full-range decoupled ventilation strategy, which incorporated five operation modes, was adopted in the design optimization. Two maintenance modes were adopted and compared to consider the flexibility of maintenance. The proposed design method has been implemented and validated in the design optimization of an existing air-conditioning system. The results showed that, compared with the conventional design, up to 54% reduction of life-cycle costs and superior satisfaction of services could be achieved by using the proposed method.
机译：许多应用程序通常需要严格，同时的空间温度和湿度控制，例如医院，实验室，制药和半导体制造的洁净室。这些应用中的能量强度可以比典型的办公楼100倍，主要是由于系统设计和控制不当。尽管已经为空调系统开发了一些不确定性的设计方法，但大多数现有系统都是根据一定的通风模式设计的，同时忽略了部件的生命周期性能。因此，本研究提出了一种稳健的洁净室空调系统设计方法，考虑到输入和操作策略的设计参数的不确定性以及组件的生命周期性能。在设计优化中采用了一种采用了五种操作模式的自适应全范围分离的通风策略。采用两种维护模式，并进行比较，以考虑维护的灵活性。在现有空调系统的设计优化中已经实施和验证了所提出的设计方法。结果表明，与传统设计相比，通过使用该方法可以实现高达54％的生命周期成本和优越的服务满意度。

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