Sizing of Energy System of a Hybrid Lithium Battery RTG Crane

Niu, Wangqiang; Huang, Xin; Yuan, Feng; Schofield, N.; Xu, Lei; Chu, Jianxin; Gu, Wenjin

doi:10.1109/tpel.2016.2632202

Cited by 37 publications

(25 citation statements)

References 24 publications

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“…In this study, the set-point system charge and discharge of the ESS is based on the comparison between the reference DC voltage (Vdc-ref), equal to 625V and the measured voltage value of the DC link (Vdc-meas). When the DC voltage is equal to the set point (625 V), the charging mode of the ESS is activated and then the DC voltage is lower than 600, the ESS is in discharging mode [6]. The PI control system aims to charge the ESS during DC voltage variation by setting a reference voltage [5,6].…”

Section: Rtg Cranes Network With Essmentioning

confidence: 99%

“…When the DC voltage is equal to the set point (625 V), the charging mode of the ESS is activated and then the DC voltage is lower than 600, the ESS is in discharging mode [6]. The PI control system aims to charge the ESS during DC voltage variation by setting a reference voltage [5,6]. The PI controller, as shown in Figure 5, generates a control signal to charge or discharge ESS depending on where the crane is in its duty cycle.…”

Section: Rtg Cranes Network With Essmentioning

confidence: 99%

“…The literature introducing the potential impact of using energy storage systems (ESS) to support the diesel and electric RTG cranes is beginning to appear [6][7][8][9][10][11]. For example, Flynn et al [10] developed a hybrid energy source model for an RTG crane including a flywheel energy store.…”

Section: Introductionmentioning

confidence: 99%

“…The power source for the RTG cranes (diesel or electricity) is sized to provide the power required to allow different moving modes and tasks. The highest percentage of the energy is consumed by the hoist motor(s) in lifting containers rather than the moving the gantry or the trolley [5,6].…”

mentioning

confidence: 99%

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A Comparative Study of Energy Storage Systems and Active Front Ends for Networks of Two Electrified RTG Cranes

Alasali

Ĺuque

Mayer³

et al. 2019

Energies

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The global consumerism trend and the increase in worldwide population is increasing the need to improve the efficiency of marine container transportation. The high operating costs, pollution and noise of the diesel yard equipment is leading sea ports to move towards replacing diesel RTG cranes with electric Rubber Tyre Gantry (RTG) cranes which offer reduced environmental impact and higher energy efficiency. However, ports will require smarter solutions to meet the increased demand on the electrical distribution network due to the electrification of RTGs. This paper aims to highlight the peak demand problem in the two electrical cranes network and attempts to increase the energy saving at ports by using two different technologies: Energy Storage System (ESS) and Active Front End (AFE). This article introduces one of the first extensive investigations into different networks of RTG crane models and compares the benefits of using either AFE or ESS. The proposed RTG crane models and network parameters are validated using data collected at the Port of Felixstowe, UK. The results of the proposed RTG cranes network show a significant peak demand reduction and energy cost saving.

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Section: Rtg Cranes Network With Essmentioning

confidence: 99%

Section: Rtg Cranes Network With Essmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Study of Energy Storage Systems and Active Front Ends for Networks of Two Electrified RTG Cranes

Alasali

Ĺuque

Mayer³

et al. 2019

Energies

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“…In order to increase the energy savings in electrified or diesel RTG crane systems, ESSs have been used for peak shaving during the lifting period by using recovered potential energy that has accrued during the lowering period and avoid dissipating energy through the dump resistors as heat [1,[6][7][8][9][10][11]. In the literature, ESS control algorithms on an RTG crane system, which can be either a diesel or electrified crane, mainly focus on using conventional control strategies that use a reference value (set-point control) of power [1,9], SoC [7] or voltage [3,11] to store recovered potential energy and regenerate it during the lifting phase which helps to increase energy savings and reduce gas emissions. Table 1 summarises the peak reduction algorithms used in an RTG crane model produced by different authors along with their achievements and limitations.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Management and MPC Strategies for Electrified RTG Cranes with Energy Storage Systems

et al. 2017

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This article presents a study of optimal control strategies for an energy storage system connected to a network of electrified Rubber Tyre Gantry (RTG) cranes. The study aims to design optimal control strategies for the power flows associated with the energy storage device, considering the highly volatile nature of RTG crane demand and difficulties in prediction. Deterministic optimal energy management controller and a Model Predictive Controller (MPC) are proposed as potentially suitable approaches to minimise the electric energy costs associated with the real-time electricity price and maximise the peak demand reduction, under given energy storage system parameters and network specifications. A specific case study is presented in to test the proposed optimal strategies and compares them to a set-point controller. The proposed models used in the study are validated using data collected from an instrumented RTG crane at the Port of Felixstowe, UK and are compared to a standard set-point controller. The results of the proposed control strategies show a significant reduction in the potential electricity costs and peak power demand from the RTG cranes.

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Research on Multiobjective Optimization Strategy of Economic/Environmental Energy Management for Multi-energy Ship Based on MOEA/D

Chen

Wei

2020

Communications in Computer and Information Science

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Sizing of Energy System of a Hybrid Lithium Battery RTG Crane

Cited by 37 publications

References 24 publications

A Comparative Study of Energy Storage Systems and Active Front Ends for Networks of Two Electrified RTG Cranes

A Comparative Study of Energy Storage Systems and Active Front Ends for Networks of Two Electrified RTG Cranes

Optimal Energy Management and MPC Strategies for Electrified RTG Cranes with Energy Storage Systems

Research on Multiobjective Optimization Strategy of Economic/Environmental Energy Management for Multi-energy Ship Based on MOEA/D

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