基于物联网的冷藏集装箱智能充电:需求响应与能源峰值削减

Smart charging with demand response and energy peak shaving for reefer containers with Internet-of-Things

International Journal of Production Research · 2025
被引 8
ABS 3

中文导读

针对港口冷藏集装箱堆场电力需求激增问题,提出两种优化充电方案(灵活功率充电和开关充电),利用物联网实现信息共享,显著降低能源成本并削减峰值负荷。

Abstract

Port terminals, especially their reefer container yards, face surging power demands. Efficient reefer charging is critical for port sustainability and efficiency, as it helps reduce peak energy loads and total energy consumption. This requires consideration of reefer characteristics, temperature control requirements, time-variant energy prices, port power distribution network and environmental factors such as ambient temperature and sunlight. Optimising the charging power and internal temperature of reefers is therefore essential. This study introduces mathematical models to optimise two efficient charging schemes for reefers: flexible power charging and on/off power charging. Internet-of-Things (IoT) technologies can enable tailored optimisation strategies for reefer charging by facilitating information sharing among reefers and the charging planning system. This study also proposes a cyber-physical system for IoT that allows these charging schemes to be implemented. Using data from existing ports, the results demonstrate that the optimised reefer charging plan significantly reduces energy costs and alleviates peak energy consumption, consistently outperforming the baseline policy. In the optimised plan, charging periods are slightly adjusted based on energy price in each period as part of a demand response strategy, and intermittent charging is actively used for peak energy shaving. The study also quantifies the positive impact of roof shade installation. Findings provide actionable insights for refrigerated goods.

港口管理冷藏集装箱需求响应物联网能源优化