Improving optimal control of grid-connected lithium-ion batteries through more accurate battery and degradation modelling

Reniers, Jorn M.; Mulder, G.; Ober‐Blöbaum, Sina; Howey, David A.

doi:10.1016/j.jpowsour.2018.01.004

Cited by 105 publications

(98 citation statements)

References 29 publications

(66 reference statements)

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“…Numerical thermal models are developed by Rao and Wang [46] and temperature-management technologies are reviewed by Al-Zareer, Dincer and Rosen in [47]. The degradation of cells was shown to have a considerable impact on achievable revenues by Al-Zareer, Dincer and Rosen [48], and a significant increase in potential profitability can be achievable by optimising cell operations to decrease ageing [49].…”

Section: Battery Ageing and Degradationmentioning

confidence: 99%

“…The Bucket model is presented by Reniers et al [49] and used by Simpkins and Donnell [69]. It considers the storage unit as a "tank" (or "bucket"), in which energy is accumulated and be pumped in and out by virtual "pipes".…”

Section: Main Battery Modelsmentioning

confidence: 99%

“…A number of simplification methods were developed, reviewed by Seaman, Dao and McPhee [68] based on mathematical or conceptual simplification, either decreasing the accuracy, or the field of application of the model. Modifications increasing the complexity are also reported, which aim to increase even more the accuracy and quality of predictions [49]. The illustration in Figure 3C represents a SPM, which is a certain type of model developped based on the Porous Electrode Theory.…”

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confidence: 99%

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The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement

et al. 2019

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Low carbon technologies are necessary to address global warming issues through electricity decabonisation, but their large-scale integration challenges the stability and security of electricity supply. Energy storage can support this transition by bringing flexibility to the grid but since it represents high capital investments, the right choices must be made in terms of the technology and the location point in the network. Most of the potential for storage is achieved when connected further from the load, and Battery Energy Storage Systems (BESS) are a strong candidate for behind-the-meter integration. This work reviews and evaluates the state-of-the-art development of BESS, analysing the benefits and barriers to a wider range of applications in the domestic sector. Existing modelling tools that are key for a better assessment of the impacts of BESS to the grid are also reviewed. It is shown that the technology exists and has potential for including Electric Vehicle battery reuse, however it is still mostly applied to optimise domestic photovoltaic electricity utilisation. The barriers to a wider integration are financial, economic, technical, as well as market and regulation. Increased field trials and robust numerical modelling should be the next step to gain investment confidence and allow BESS to reach their potential.Energies 2019, 12, 3954 For this reason and due to economies of scale, the structure of the network was designed to have large centralised generators on one end of the network, enough aggregated loads on the other end, and a system of transmission and distribution of electricity in between, with higher voltages for long distances, and lower voltages closer to the loads for shorter sections of the grid. Therefore, the electricity generation fleet could be designed optimally and perform efficiently, as short term variations are small and predictable, relative to the overall production [8].In case of non-optimised and unsupervised penetration of renewable sources, problems such as mismatch between production and demand, voltage rise, or reverse power flows at transformers [8] are more likely to arise. Installing electricity storage-particularly on the low-voltage layers of the network [9]-could help reduce this problem by bridging the mismatch between demand and production.Storage may also play a role in addressing the evolution of the demand on the electricity network. The electrification of heat and transport sectors at different scales presents a potential for reducing Energies 2019, 12, 3954 3 of 27 GHG emissions as they are currently responsible for a substantial amount of pollutant emission [10], and draw the vast majority of their energy from the combustion of gas, oil and other fossil fuels [11]. However, shifting a significant part of the heat and transport demand to the electricity network is extremely challenging. The amount of energy it represents would generate a substantial stress on a network, which was not originally designed for it. Figure 2 gives an order of magnitude of the co...

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Section: Battery Ageing and Degradationmentioning

confidence: 99%

Section: Main Battery Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

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The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement

et al. 2019

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“…parametric functions interpolating a data set from a large scale cycling experiment. These can be very effective, but lack generality because they are only valid for the exact battery chemistry and operating conditions tested in the experiment, and they may exhibit growing inaccuracy of battery health predictions when used for long range extrapolation [1,2,3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries

Reniers¹,

Howey²,

Mulder³

2019

Preprint

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The maximum energy that lithium-ion batteries can store decreases as they are used because of various irreversible degradation mechanisms. Many models of degradation have been proposed in the literature, sometimes with a small experimental data set for validation. However, a thorough comparison between different model predictions is lacking, making it difficult to select modelling approaches which can explain the degradation trends actually observed from data. Here various degradation models from literature are implemented within a single particle model framework and their behaviour compared. It is shown that many different models can be fitted to a small experimental data set. The interactions between different models are simulated, showing how some of the models accelerate degradation in other models, altering the overall degradation trend. The effects of operating conditions on the various degradation models is simulated. This identifies which models are enhanced by which operating conditions and might therefore explain specific degradation trends observed in data. Finally, it is shown how a combination of different models is needed to capture different degradation trends observed in a large experimental data set. Vice versa, only a large data set enables to properly select the models which best explain the observed degradation.

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“…Battery lifespan and replacement cost depend on its degradation rate, which in turn depend on how much and how the battery is used. The relevance of including these factors when formulating problems to find an optimal battery operation policy has been recognized in Reniers et al [9]. Battery degradation mechanisms depend on many factors, in particular, the rate of charge/discharge has a large effect.…”

Section: Introductionmentioning

confidence: 99%

Effect of Tariff Policy and Battery Degradation on Optimal Energy Storage

Corengia

Torres

2018

Processes

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In the context of an increasing participation of renewable energy in the electricity market, demand response is a strategy promoted by electricity companies to balance the non-programmable supply of electricity with its usage. Through the use of differential electricity prices, a switch in energy consumption patterns is stimulated. In recent years, energy self-storage in batteries has been proposed as a way to take advantage of differential prices without a major disruption in daily routines. Although a promising solution, charge and discharge cycles also degrade batteries, thus expected savings in the energy bill may actually be non-existent if these savings are counterbalanced by the capacity lost by the battery. In this work a convex optimization problem that finds the operating schedule for a battery and includes the effects of current-induced degradation is presented. The goal is to have a tool that facilitates for a consumer the evaluation of the convenience of installing a battery-based energy storage system under different but given assumptions of electricity and battery prices. The problem is solved assuming operation of a commercial Li-ion under two very different yet representative electricity pricing policies.

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Improving optimal control of grid-connected lithium-ion batteries through more accurate battery and degradation modelling

Cited by 105 publications

References 29 publications

The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement

The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement

Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries

Effect of Tariff Policy and Battery Degradation on Optimal Energy Storage

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