Duty-Cycle-Driven Energy Storage Sizing for Electrified Port Cargo-Handling Equipment: A Grid-to-Actuator Energy-Flow Review

Electrification of port cargo-handling equipment couples storage capacity with bidirectional power, thermal limits, ageing and access to replenishment. This critical review organizes published evidence through a grid-to-actuator energy-flow ledger and a duty-to-sizing procedure. It distinguishes direct port measurements, port simulations and transferable non-port methods, and compares its scope with earlier reviews of port energy efficiency, RTG storage, non-road powertrains, battery ageing and AGV operations. Four normalized accounting indicators retain conventional efficiency and recovery concepts while separating task-dependent recovery opportunity from achieved recovery. An explicitly constructed RTG example demonstrates the calculation, rather than providing new field validation. Under its stated two-hour duty, 80% capacity-retention and 2C discharge/1C charge assumptions, average-energy sizing gives 88.7 kWh, whereas combined energy and bidirectional-power constraints require at least 211.4 kWh; regenerative charge acceptance is limiting. Independent port-equipment studies and field demonstrations show that replenishment access, equipment reliability and infrastructure change the practical value of nominal capacity. A published LFP ageing model additionally links four declared exposure profiles to conditional capacity bounds. The review integrates these findings into transparent constraints, an evidence comparison and a lifetime-cost framework. Its contribution is a transparent synthesis for storage screening and evidence reporting; equipment-specific telemetry, cell power maps and port-calibrated degradation models remain necessary for a validated design.

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Publication Details

Journal
Energies
Published
2026-10-19
DOI
https://doi.org/10.3390/en19204933
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Duty-Cycle-Driven Energy Storage Sizing for Electrified Port Cargo-Handling Equipment: A Grid-to-Actuator Energy-Flow Review

Panpan Song, Peng Jia, He Zhu, Qianli Ma et al.
Energies
Electric and Hybrid Vehicle Technologies
article

Duty-Cycle-Driven Energy Storage Sizing for Electrified Port Cargo-Handling Equipment: A Grid-to-Actuator Energy-Flow Review

Panpan Song, Peng Jia, He Zhu, Qianli Ma, Libo Lan, Qingqing Yang
article en

Abstract

Electrification of port cargo-handling equipment couples storage capacity with bidirectional power, thermal limits, ageing and access to replenishment. This critical review organizes published evidence through a grid-to-actuator energy-flow ledger and a duty-to-sizing procedure. It distinguishes direct port measurements, port simulations and transferable non-port methods, and compares its scope with earlier reviews of port energy efficiency, RTG storage, non-road powertrains, battery ageing and AGV operations. Four normalized accounting indicators retain conventional efficiency and recovery concepts while separating task-dependent recovery opportunity from achieved recovery. An explicitly constructed RTG example demonstrates the calculation, rather than providing new field validation. Under its stated two-hour duty, 80% capacity-retention and 2C discharge/1C charge assumptions, average-energy sizing gives 88.7 kWh, whereas combined energy and bidirectional-power constraints require at least 211.4 kWh; regenerative charge acceptance is limiting. Independent port-equipment studies and field demonstrations show that replenishment access, equipment reliability and infrastructure change the practical value of nominal capacity. A published LFP ageing model additionally links four declared exposure profiles to conditional capacity bounds. The review integrates these findings into transparent constraints, an evidence comparison and a lifetime-cost framework. Its contribution is a transparent synthesis for storage screening and evidence reporting; equipment-specific telemetry, cell power maps and port-calibrated degradation models remain necessary for a validated design.

EnergiesVol. 19(20)
Beijing Institute of Technology (CN), Dalian Maritime University (CN)
Openalex Percentile: Top 22%
Electric and Hybrid Vehicle Technologies
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