Optimising Energy Flexibility of Boats in PV-BESS Based Marina Energy Systems

Jóźwiak, Dawid; Pillai, Jayakrishnan Radhakrishna; Ponnaganti, Pavani; Bak‐Jensen, Birgitte; Jantzen, Jan

doi:10.3390/en14123397

Cited by 3 publications

(13 citation statements)

References 34 publications

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“…It has been found that proper BESS charge/discharge planning can ensure system efficiency. Jozwiak et al [18] carried out an analysis of the load demand for boats in Ballen Marina to optimize the cost of energy for sailors and the cost of energy exchanged with the main grid. This proved the important role of demand flexibility analysis as a key element in the energy system.…”

Section: − Literature Reviewmentioning

confidence: 99%

An intelligent energy management system for optimum design and real-time operation

Zedak¹,

Belfqih²,

Boukherouaa³

et al. 2023

IJPEDS

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<span lang="EN-US">Planning and management of distribution networks has become a very difficult task, especially with the strong expansion of renewable energy sources (RES) which are intermittent in nature. Maintaining fluidity and reliability of real-time decisions while taking into consideration uncertainties related to production and increasing the profit of distribution network operators is the objective of the system proposed in this work. It is an intelligent energy management system dedicated to the management of grid-integrated RES and battery energy storage systems (BESS), composed of: i) a real-time control and data acquisition model, ii) a model for forecasting the intermittent parameters of RES based on neural networks, iii) a long-term planning model based on the optimal placement and size of RES and BESS, and iv) an hourly planning model for scheduling the energy distribution between energy sources. The non-dominated sorting genetic algorithm and the entropy-TOPSIS method (technique for order of preference by similarity to ideal solution) form the basic block of this model. To evaluate it, a modified IEEE 33 bus network was used for testing and the results, for short-term scheduling, proved that the system succeeds in maximizing profits and significantly minimizing CO<sub>2</sub> emissions, in addition to power losses and voltage drops.</span>

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Section: − Literature Reviewmentioning

confidence: 99%

An intelligent energy management system for optimum design and real-time operation

Zedak¹,

Belfqih²,

Boukherouaa³

et al. 2023

IJPEDS

View full text Add to dashboard Cite

show abstract

“…The energy price for EV charging was assumed to be the same for all cars, under the assumption of the hourly varying marina's tariff-developed in [30]. In other words, the marina was assumed to not impose any additional margin on the rental company's electricity price.…”

Section: Modelling Of Electric Car Demandmentioning

confidence: 99%

“…The simulations were carried out for a summer week (15-21 July 2019)-when the marina's load is highest due to the peak tourist season and rental cars are frequently used. The analysis was conducted based on the recorded boat demand of the marina from 2019, presented along with the PV generation data in [30]. The following study cases were taken into consideration: Firstly, the optimal charging strategy was developed, utilising mixed-integer linear programming optimisation.…”

Section: Proposed Optimal Operation Of Marina's Energy Systemmentioning

confidence: 99%

“…The optimal charging was compared with the baseline scenario, in which cars are charged immediately upon their arrival at the harbour. Subsequently, the model was enhanced with boat flexibility, with the aim to coordinate the operation of the entire marina's ICES-extending the DR action presented in [30]. Further, the benefits from future V2G technology implementation were evaluated, developing the optimal strategy for bidirectional power flow between electric cars and the marina's grid.…”

Section: Proposed Optimal Operation Of Marina's Energy Systemmentioning

confidence: 99%

“…In the future scenario, the impact of V2G technology implementation on the batteries' degradation was studied based on the employed battery ageing model. The optimisation model comprising the marina's generation, storage, electric cars, and boat flexibility was established, expanding the scope of previous research on marina energy systems [28][29][30]. The developed optimisation algorithm for the marina's energy management system-coordinating all the above-mentioned elements along with the battery degradation model-constitutes the novelty of this work.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Charging and Discharging Strategies for Electric Cars in PV-BESS-Based Marina Energy Systems

et al. 2023

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The emerging concept of integrated community energy systems (ICESs) proves its suitability for improving the operation of local grids—increasing self-consumption from local generation, enhancing the load factor, and reducing energy cost. In Ballen marina—located on the Danish island of Samsø—the battery energy storage system (BESS)’s action can be possibly complemented by the flexibility of boats and electric cars. With the greater involvement of energy consumers, the energy system’s performance may become more efficient—from both technical and economic perspectives. Within this framework, the optimal charging and discharging strategies of the marina’s electric cars were developed and evaluated. The car usage profile was generated, utilising a stochastic approach to resemble daily variations in the driving pattern. The optimal charging strategy was established, subsequently integrating this action with boat flexibility. As a future scenario, the benefits of vehicle-to-grid (V2G) technology implementation were examined, proving significant enhancements of the future marina’s grid—with increased photovoltaic (PV) generation capacity and the number of electric cars. The economic benefits of bidirectional charging were proven, with ample advantages for the marina and the rental company, leading to cost savings of up to 51.7% and minimising the energy export by 21.3%. Therefore, increasing the integration level of Ballen marina’s flexible units—electric cars and boats—was concluded to be an important goal for the coming years.

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Adaptation of Existing Vessels in Accordance with Decarbonization Requirements—Case Study—Mediterranean Port

Bacalja Bašić,

Krčum,

Gudelj

2023

JMSE

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This research investigates the application of photovoltaic (PV) systems on ship retrofits with the aim of reducing the emission of harmful gases. By using renewable energy resources, this research presents the potential for reducing greenhouse gas (GHG) emissions and improving energy efficiency in maritime operations, specifically within the Split coastal area. Overcoming the space restrictions on ships, an innovative design is presented to maximize the installation area for solar power. The research is conducted for several cases based on the IHOGA simulator, for all ship phases, and it aims to minimize fuel consumption by the diesel generators, thus emphasizing the use of renewable energy resources. A model with two operational modes is designed: Mode 1 allows surplus power to charge batteries or supply the port network, while Mode 2 covers power deficits from alternative sources. The implementation of renewables results in carbon dioxide (CO2) and nitrogen oxide (NOX) emission reductions. Furthermore, during the ship hotelling phase, the load is supplied entirely by batteries, resulting in zero emissions at the port.

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Optimising Energy Flexibility of Boats in PV-BESS Based Marina Energy Systems

Cited by 3 publications

References 34 publications

An intelligent energy management system for optimum design and real-time operation

An intelligent energy management system for optimum design and real-time operation

Optimal Charging and Discharging Strategies for Electric Cars in PV-BESS-Based Marina Energy Systems

Adaptation of Existing Vessels in Accordance with Decarbonization Requirements—Case Study—Mediterranean Port

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