冰蓄冷是冷却不同类型建筑物的最经济、可靠的系统方法。冰蓄冷可以通过将制冷成本从高峰时段转移到非高峰时段来降低能源成本。本文提出了一种在不同负荷和天气条件下确定冰蓄冷器规模和运行的综合方法。考虑了不同季节条件下的制冷机和冰蓄冷量以及充放电时间等变量。研究了不同的建筑类型、位置和使用率结构，以评估最佳冰热设计和运行的优势。该研究考虑了冰蓄冷对制冷机性能和相关能源成本的影响，并证明了通过优化冰蓄冷设计实现的成本节约。 评估了两种负荷估计技术，包括线性回归模型和人工神经网络。结果表明，通过优化冰蓄冷设计，该方法可以显著节约成本和能源。引文:2018年冬季会议，伊利诺伊州芝加哥，会议论文

Cooling with ice thermal storage can be the most cost-effective, reliable system approach to cooling different types of buildings. The ice thermal storage can reduce energy costs by shifting the cooling cost from on-peak to off-peak periods. The paper proposes an integrated approach to size and operate the ice thermal storage with different loads and weather conditions. The variables such as chiller and ice storage sizes and charging and discharge times during different seasonal conditions are considered. Different building types, locations, utility rate structure are investigated to evaluate the advantages of optimal ice thermal design and operation. The study considers the effect of the ice thermal storage on the chiller performance and the associated energy cost and demonstrates the cost saving achieved from optimal ice storage design. Two load estimation techniques are evaluated, including linear regression model and artificial neural networks. The results show a significant cost energy saving can be obtained by optimal ice storage design through the proposed approach.