Utility energy storage life degradation estimation method

Chawla, M.P.S.; Naik, Rajendra; Burra, R.K.; Wiegman, Herman

doi:10.1109/citres.2010.5619790

Cited by 28 publications

(20 citation statements)

References 4 publications

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“…As energy is often the limiting factor for a given total investment in a stationary battery 36 , this treatment is a reasonable approximation. Additionally, the cycling behaviour of storage will affect the lifetime capacities of technologies differently 37,38 . This effect is not represented in our model but will have a significantly smaller effect on storage capacity costs than the span of costs reported in the literature.…”

Section: Discussionmentioning

confidence: 99%

Value of storage technologies for wind and solar energy

2016

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Wind and solar industries have grown rapidly in recent years but they still supply only a small fraction of global electricity. The continued growth of these industries to levels that significantly contribute to climate change mitigation will depend on whether they can compete against alternatives that provide high-value energy on demand. Energy storage can transform intermittent renewables for this purpose but cost improvement is needed. Evaluating diverse storage technologies on a common scale has proved a major challenge, however, owing to their widely varying performance along the two dimensions of energy and power costs. Here we devise a method to compare storage technologies, and set cost improvement targets. Some storage technologies today are shown to add value to solar and wind energy, but cost reduction is needed to reach widespread profitability. The optimal cost improvement trajectories, balancing energy and power costs to maximize value, are found to be relatively location invariant, and thus can inform broad industry and government technology development strategies. W ind and solar energy technologies have attractive attributes including their zero direct carbon and other air-pollutant emissions (during operation) 1,2 , their low water withdrawal and consumption requirements 3 , the speed with which they can be installed 4 , and the flexibility in the scale of their installations 5,6 . Innovation in these technologies has taken off in the past two decades 7 . Levelized electricity costs for both technologies have been dropping over the past few decades, with photovoltaics costs falling exceptionally quickly, by two orders of magnitude over the past 40 years 8,9 . The installed bases of solar and wind have grown markedly in recent decades, each at approximately 30% per year on average over the past 30 years, but together still supply only a few per cent of global electricity 9 . Although the global solar and wind energy resources are large, these technologies do not measurably contribute to climate change mitigation at current installations levels.A variety of government policy-based incentives have supported the growth in solar and wind energy technologies in recent decades 10,11 , but continued, rapid growth to levels that can help meet climate change mitigation goals will depend on whether the adoption of wind and solar can be made self-sustaining. Low-cost storage can play a pivotal role by converting intermittent wind and solar energy resources, which fluctuate over time with changes in weather, the diurnal cycle, and seasons 12 , to electricity on demand that can be sold when most profitable, thereby increasing the value and attractiveness of these technologies to investors 13,14 . However, storage costs need to improve to achieve sizable adoption 15,16 . Quantifying the cost reduction needed has proved challenging and is the topic of this paper.A range of stationary, large-scale energy storage technologies are in development 17 . These technologies have widely varying power and energy costs. S...

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Section: Discussionmentioning

confidence: 99%

Value of storage technologies for wind and solar energy

2016

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“…Identifying directly the number of cycles, the DoD and the average SoC of each cycle is difficult from a SoC profile resulting from irregular battery operation. We therefore adopt the rainflow cycle-counting algorithm [27][28] that is widely used in fatigue studies and has been applied to battery cycle analysis in [29]- [31]. This algorithm make possible the application of Miner's rule [33] to assess the fatigue life, and is also applicable to damage accumulation processes such as battery degradation.…”

Section: Model Application To Irregular Cyclesmentioning

confidence: 99%

“…In addition, we implement the rainflow cycle-counting algorithm [27][28] to quantify cycles in the battery's state of charge (SoC) profile. This algorithm is widely used for fatigue analysis and has been applied to battery cycle analysis in [29]- [31].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

Oudalov

Ulbig

et al. 2018

IEEE Trans. Smart Grid

741

409

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Rechargeable lithium-ion batteries are promising candidates for building grid-level storage systems because of their high energy and power density, low discharge rate, and decreasing cost. A vital aspect in energy storage planning and operations is to accurately model the aging cost of battery cells, especially in irregular cycling operations. This paper proposes a semi-empirical lithium-ion battery degradation model that assesses battery cell life loss from operating profiles. We formulate the model by combining fundamental theories of battery degradation and our observations in battery aging test results. The model is adaptable to different types of lithium-ion batteries, and methods for tuning the model coefficients based on manufacturer's data are presented. A cycle-counting method is incorporated to identify stress cycles from irregular operations, allowing the degradation model to be applied to any battery energy storage (BES) applications. The usefulness of this model is demonstrated through an assessment of the degradation that a BES would incur by providing frequency control in the PJM regulation market.

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“…In order to evaluate the performance of a BESS, one has to know the Power/Energy ratio (P/E). In case of frequency regulation, high power capacity over few minutes is necessary, which suggests that P/E should be high [8]. Other key factor related to the BESS sizing is the average current rating.…”

Section: Introductionmentioning

confidence: 99%

“…This parameter, together with the depth of discharge (DoD) or the duty cycle, plays an important role also when it comes to cycle life. The degradation of a BESS is equated with an increased internal resistance and reduced capacity [8].…”

Section: Introductionmentioning

confidence: 99%

Primary Frequency Control in a Power System with Battery Energy Storage Systems

Sănduleac

Toma

Eremia

et al. 2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

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This paper addresses the feasibility of a battery energy storage system (BESS) contribution to primary frequency control by simulating its state of charge over several days and by using frequency measurements in the Romanian power system. A BESS correction algorithm has been developed to overcome the average frequency asymmetry which may bring the state of charge to zero or 100%, thus not allowing further primary frequency control due to total discharge or total charge of the storage resource. It is demonstrated that for a number of selected days the algorithm provides good results, the primary frequency control is delivered over entire days, and that a reserve of energy remains in the battery for eventual disturbances in the system, for both over and under frequency needs.

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Utility energy storage life degradation estimation method

Cited by 28 publications

References 4 publications

Value of storage technologies for wind and solar energy

Value of storage technologies for wind and solar energy

Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

Primary Frequency Control in a Power System with Battery Energy Storage Systems

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