To estimate the power consumption and temperature fluctuations of reefers, we propose to apply agent-based simulation to simulate the stochastic operation process of reefers at the container terminal.
1. Introduction Reefers are the main power consumption equipment of container terminal, which account for about half of the total power consumption and 30-35% of the total energy consumption of ports (Geerlings and van Duin, 2011). When a large number of reefers is plugged-in at the terminal, peaks in energy consumption occur.
van Duin et al. (2019) divides the root cause factors of reefers’ power consumption into six categories according to the 6 Sigma principle: Manpower, Machine, Environment, Method, Measurement, and Materials, as shown in Figure. 1.
2724-0339 © 2022 The Authors. *Corresponding author. Email address: [email protected] The power consumption and peak demand will greatly increase when a large amount of reefer containers arrive at container terminal and are stored in the container yard.
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