Since many industries may not be able to migrate for Industry 4.0 directly, Industry 3.5 is proposed as a hybrid strategy. While facility is crucial for product quality for hightech manufacturing, manufacturers have focused mainly on facility stability and paid less attention for power saving. In practice, the operation of chillers relies on domain experts leading to inconsistent decisions and operational inefficiency. Although a number of studies have proposed intelligent facilities with similar visions of Industry 4.0, they may not be ready to be adopted in the operating facilities. Furthermore, limitations of existing approaches can be traced in part to the lack of an integrated framework within which interrelated decisions can be modeled and related to the optimal configuration of chillers. Following Industry 3.5 stragey, this study aims to develop an approach that integrates a cooling load forecasting model based on SARIMAX model, a prediction model for the operation efficiency of the chillers, and chiller health evaluation model to optimize the combination of operating chillers to fulfill the cooling load demand and minimize the electricity consumption given the existing infrastructure. To estimate the validity, an empirical study was conducted in a leading semiconductor company for carbon reduction and green production. The results have shown its practical viability and the developed solution has been implemented in this company with significant power saving.

由于许多行业可能无法直接迁移到工业4.0，因此建议将工业3.5作为混合策略。设备对于高科技制造的产品质量至关重要，而制造商则主要关注设备的稳定性，而对节能的关注却很少。在实践中，冷水机组的运行依赖于领域专家，从而导致决策不一致和运行效率低下。尽管许多研究提出了具有类似工业4.0愿景的智能设施，但它们可能尚未准备好在运营设施中采用。此外，现有方法的局限性可以部分归因于缺乏集成框架，在该框架中可以对相互关联的决策进行建模并与冷却器的最佳配置相关。继工业3.5战略之后，本研究旨在开发一种方法，该方法将基于SARIMAX模型的冷负荷预测模型，冷水机组运行效率的预测模型以及冷水机组运行状况评估模型相集成，以优化运行中的冷水机组组合，从而满足冷负荷需求并最小化考虑到现有基础设施的电力消耗。为了评估有效性，在一家领先的半导体公司中进行了减少碳排放和绿色生产的实证研究。结果表明了它的实际可行性，并且在该公司中已实施了开发的解决方案，大大节省了电能。冷水机组运行状况评估模型可优化运行中的冷水机组的组合，以满足制冷负荷需求并在现有基础设施的基础上将电力消耗降至最低。为了评估有效性，在一家领先的半导体公司中进行了减少碳排放和绿色生产的实证研究。结果表明了它的实际可行性，并且在该公司中已实施了开发的解决方案，大大节省了电能。冷水机组运行状况评估模型可优化运行中的冷水机组的组合，以满足制冷负荷需求并在现有基础设施的基础上将电力消耗降至最低。为了评估有效性，在一家领先的半导体公司中进行了减少碳排放和绿色生产的实证研究。结果表明了它的实际可行性，并且在该公司中已实施了开发的解决方案，大大节省了电能。