Design and operation strategy for multi-use application of battery energy storage in wind farms

Hauer, Ines; Balischewski, Stephan; Ziegler, Christian

doi:10.1016/j.est.2020.101572

Cited by 30 publications

(11 citation statements)

References 33 publications

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“…By adopting a solution where the ratio of annual wind and solar PV production is 30%/70% favouring wind energy, it is possible to increase the share of renewable energy cover factor in total consumption up to 0.6 [23]. Eltanay et al [24] incorporated load prioritisation in addition to load shifting technology and divided loads into two groups. In [25,26], the authors employed the methodology to derive the size of a battery energy storage system (BESS) for self-consumption optimally in windless times, and operated the BESS to maximise its technical and economic benefits.…”

Section: Overview Of Literaturementioning

confidence: 99%

Modelling of Consumption Shares for Small Wind Energy Prosumers

et al. 2021

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This article describes a simulation of energy distribution in an average household where electricity is produced with a small wind generator or purchased from the public electricity grid. Numerical experiments conducted within an average of five minutes were performed using annual production and consumption graphs. Virtual storage devices, a water tank and a battery were used to buffer energy inside the household. The energy required for non-shiftable consumption and hot water consumption were taken directly from the utility grid. Surplus energy remaining from wind generator production after providing for consumption and storage needs were redirected there. A cover factor was used as a measure of the efficiency of energy distribution. One of the aims of the article was to determine by simulations the change of the cover factor in a virtually designed situation where the expected energy output of the wind generator was known in advance over one to three hours. The results found that for the configuration of the proposed nanogrid option, the positive results were readily achieved when the expected wind generator production was known an hour ahead. Then, the cover factor increased from 0.593 to 0.645. The side result of using projected/expected production is an increase in asymmetrical energy exchanges bilaterally between nanogrid and utility grid in favour of grid sales. Another finding was that the cover factor depended on the wind generator’s production intensity but less on the intensity of consumption within the household.It is hoped/expected that future research will address the prediction of output using mathematical methods.

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Section: Overview Of Literaturementioning

confidence: 99%

Modelling of Consumption Shares for Small Wind Energy Prosumers

et al. 2021

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“…We assume a lithium battery storage cyclic lifetime of 6000 cycles [31]. The cyclic aging is estimated by full cycle equivalents (FCE) [32]. The FCE of a defined battery capacity (C bat ) are calculated based on the re-and discharged energy (E k ) by:…”

Section: Dimensioning Of Recharging Infrastructurementioning

confidence: 99%

“…In the case of energy supply from local RES, a battery storage is added to the substation. The CAPEX of the battery storage (CAPEX Bat ) contain cost shares for battery capacity (k C ) and power electronics (k P ) and are calculated as follows [32]:…”

Section: Relevant Lifecycle Costsmentioning

confidence: 99%

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Techno-Economic Assessment of Battery Electric Trains and Recharging Infrastructure Alternatives Integrating Adjacent Renewable Energy Sources

et al. 2021

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Battery electric multiple units (BEMU) are an effective path towards a decarbonized regional rail transport on partly electrified rail lines. As a means of sector coupling, the BEMU recharging energy demand provided through overhead line islands can be covered from decentralized renewable energy sources (RES). Thus, fully carbon-free electricity for rail transport purposes can be obtained. In this study, we analyze cost reduction potentials of efficient recharging infrastructure positioning and the feasibility of covering BEMU energy demand by direct-use of locally produced renewable electricity. Therefore, we set up a model-based approach which assesses relevant lifecycle costs (LCC) of different trackside electrification alternatives comparing energy supply from local RES and grid consumption. The model-based approach is applied to the example of a German regional rail line. In the case of an overhead line island, the direct-use of electricity from adjacent wind power plants with on-site battery storage results in relevant LCC of EUR 173.4 M/30a, while grid consumption results in EUR 176.2 M/30a whereas full electrification results in EUR 224.5 M/30a. Depending on site-specific factors such as existing electrification and line lengths, BEMU operation and partial overhead line extension can lead to significant cost reductions of recharging infrastructure as compared to full electrification.

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“…In some sources, it is described as load matching index (LMI) or load generation matching index (LGMI) [27,28]. In [29] the optimal storage capacity for full ride-throughs was discussed. Households require power supplies from the largest possible number of renewable sources to reduce payoff times [2,30].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid

et al. 2021

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Modern households usually have independent energy sources such as wind generators, photovoltaic (PV) panels, and similar green energy production equipment. Experts predict that soon, there will be an increasing number of such prosumers who both produce and consume energy. This process alleviates and reduces the load on large national electricity networks and also contributes to overall energy security. In this paper, a simulation model of a household, which employs a wind generator as its independent source of electricity, is developed. It is expected that this approach will be easily replicated for more complex configurations. The other components of the single prosumer microgrid that will be assessed are the non-shiftable electricity consumption equipment, which is used mainly in households and deployed separately for water heater, with a separate battery to meet the needs of these non-shiftable consumers. The 5-min data intervals for the year of simulation have been used. The characteristics of energy flow according to production and consumption schedules and the capacity of storage equipment have been modelled and simulated. Results disclose that wind turbine production size and buffer battery have a crucial impact on the demand cover factor.

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Design and operation strategy for multi-use application of battery energy storage in wind farms

Cited by 30 publications

References 33 publications

Modelling of Consumption Shares for Small Wind Energy Prosumers

Modelling of Consumption Shares for Small Wind Energy Prosumers

Techno-Economic Assessment of Battery Electric Trains and Recharging Infrastructure Alternatives Integrating Adjacent Renewable Energy Sources

Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid

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