Energy reduction on eRTG

Ĺuque, A.; Harrison, I.; Pietrosanti, Stefano; Alasali, Feras; Holderbaum, William; Mayer, Rayner M.; Becerra, Victor M.

doi:10.1109/eeeic.2016.7555446

Cited by 9 publications

(24 citation statements)

References 8 publications

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“…Throughout this subsection, the proposed controllers are compared to a set-point control algorithm. The set-point controller has been discussed in the literature and is widely applied to crane systems [1,3,17]. In this work the set-point value has been selected using historical RTG crane demand data.…”

Section: Resultsmentioning

confidence: 99%

“…In case the ESS starts discharging, the power grid P g (t) will only supply power of the RTG crane load P L (t) minus the discharged ESS power P s (t). The power flow can be described in the following equation [1,17]: …”

Section: Ess and Rtg Crane Demand Model Topologymentioning

confidence: 99%

“…The main network components of the electrified RTG crane systems have been modelled in MATALB/Simulink (R2016b, The MathWorks, Inc., Natick, Massachusetts, United States). This model has been updated and extended from an original model that was developed to study the energy savings in RTG cranes at the Port of Felixstowe to test the proposed optimal strategies [3,17]. The electrical network parameters and RTG crane demand data were collected from the Port of Felixstowe in the UK.…”

Section: Numerical Specificationsmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

Section: Ess and Rtg Crane Demand Model Topologymentioning

confidence: 99%

Section: Numerical Specificationsmentioning

confidence: 99%

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

et al. 2017

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“…On the other hand, active front ends (AFEs) are mainly used to increase the power quality level in low voltage networks by reducing the total harmonic distortion and increasing the power factor and keep it within the limits [13,14]. Currently, crane manufacturers are designing new models of electrified RTG crane equipped with AFE technology.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, crane manufacturers are designing new models of electrified RTG crane equipped with AFE technology. These new designs aim to improve the distribution network power quality at ports compared to passive filter system [13,14].…”

Section: Introductionmentioning

confidence: 99%

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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Energy management systems for a network of electrified cranes with energy storage

Alasali

Haben

Holderbaum

2019

International Journal of Electrical Power & Energy Systems

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Energy reduction on eRTG

Cited by 9 publications

References 8 publications

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

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

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

Energy management systems for a network of electrified cranes with energy storage

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