Potential utilization of battery energy storage systems (BESS) in the major European electricity markets

Hu, Yu; Armada, M. Pilar Garcí; Sánchez, Marı́a Jesús

doi:10.1016/j.apenergy.2022.119512

Cited by 34 publications

(10 citation statements)

References 38 publications

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“…In general, the echelon utilization scenario for recycled EOL batteries is battery energy storage system (BESS), based on Ref. 36 – 40 . This paper considered the benefit generated by the energy storage scenario over the life cycle, not limited to the first year.…”

Section: Methodsmentioning

confidence: 99%

A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions

Yan,

Wang,

Liu

et al. 2024

Sci Rep

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With the development of the electric vehicle industry, the number of power batteries has increased dramatically. Establishing a recycling EOL (end-of-life) battery network for secondary use is an effective way to solve resource shortage and environmental pollution. However, existing networks are challenging due to the high uncertainty of EOL batteries, e.g., quantity and quality, resulting in a low recycling rate of the recovery network. To fill this gap, this paper proposes a stochastic programming approach for recovery network design under uncertain conditions of EOL batteries. Firstly, a multi-objective model for battery recovery network is established, considering carbon emissions and economic benefits. Secondly, a stochastic programming approach is proposed to clarify the model. Subsequently, the genetic algorithm is employed to solve the proposed model. Finally, a recovery network case of Region T is given to verify the credibility and superiority of the proposed method. The results demonstrate that the proposed model reduces carbon emissions by 20 metric tons and increases overall economic benefits by 10 million yuan in Region T compared to the deterministic model. Furthermore, the two portions affecting the optimization results are also discussed to provide a reference for reducing carbon emissions and improving economic efficiency in recycling networks.

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Section: Methodsmentioning

confidence: 99%

A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions

Yan,

Wang,

Liu

et al. 2024

Sci Rep

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“…The economic viability and operational optimization of BESS within the European electricity markets have seen considerable analysis. Hu et al [2] explore BESS operational viability, focusing on marginal cost analysis including battery degradation and operational expenses. Their comprehensive framework assesses BESS profitability in fluctuating markets by balancing service remuneration with operational costs.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Energy Arbitrage: Benchmark Models for LFP Battery Dynamic Activation Costs in Reactive Balancing Market

Ezennaya,

Kowal

2024

Sustainability

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This study introduces a novel benchmark model for lithium iron phosphate (LFP) batteries in reactive energy imbalance markets, filling a notable gap by incorporating comprehensive operational parameters and market dynamics that are overlooked by conventional models. Addressing the absence of a holistic benchmark for energy-storage systems in electricity markets, this research focuses on the integration of LFP batteries, considering their unique characteristics and market responsiveness. Regression and regularization techniques, coupled with temporal cross-validation, were employed to ensure model robustness and accuracy in predicting energy trading outcomes. This methodological approach allows for a nuanced analysis of battery degradation, power capacity, energy content, and real-time market prices. The model, validated using Belgium’s system imbalance market data from the 2020–2023 period, incorporates both capital and operational expenditures to assess the economic and operational viability of LFP battery energy-storage systems (BESSs). The findings reveal that considering a broader range of operational parameters in energy arbitrage, beyond just the usual energy prices and round-trip efficiency, significantly influences the cost-effectiveness and performance benchmarking of energy storage solutions. This paper advocates for the strategic use of LFP batteries in energy markets, highlighting their potential to enhance grid stability and energy trading profitability. The proposed benchmark model serves as a critical tool for energy traders, providing a detailed framework for informed decision making in the evolving landscape of energy storage technologies.

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“…An energy storage system (ESS) is a system that has the flexibility to store power and use it when required. An ESS can be one of the solutions to mitigate the intermittency effect of variable renewable energy (VRE), such as photovoltaic and wind power [ 1 , 2 , 3 ]. An ESS is often implemented as a container-type package with an air conditioning system owing to the ease of installation and maintenance.…”

Section: Introductionmentioning

confidence: 99%

The Monitoring and Management of an Operating Environment to Enhance the Safety of a Container-Type Energy Storage System

Park

Lee

Park

et al. 2023

Sensors

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The implementation of an energy storage system (ESS) as a container-type package is common due to its ease of installation, management, and safety. The control of the operating environment of an ESS mainly considers the temperature rise due to the heat generated through the battery operation. However, the relative humidity of the container often increases by over 75% in many cases because of the operation of the air conditioner which pursues temperature-first control. Humidity is a major factor which can cause safety issues such as fires owing to insulation breakdown caused by condensation. However, the importance of humidity control in ESS is underestimated compared to temperature control. In this study, temperature and humidity monitoring and management issues were addressed for a container-type ESS by building sensor-based monitoring and control systems. Furthermore, a rule-based air conditioner control algorithm was proposed for temperature and humidity management. A case study was conducted to compare the conventional and proposed control algorithms and verify the feasibility of the proposed algorithm. The results showed that the proposed algorithm reduced the average humidity by 11.4% compared to the value achieved with the existing temperature control method while also maintaining the temperature.

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Potential utilization of battery energy storage systems (BESS) in the major European electricity markets

Cited by 34 publications

References 38 publications

A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions

A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions

Optimizing Energy Arbitrage: Benchmark Models for LFP Battery Dynamic Activation Costs in Reactive Balancing Market

The Monitoring and Management of an Operating Environment to Enhance the Safety of a Container-Type Energy Storage System

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