Use cases for stationary battery technologies: A review of the literature and existing projects

Malhotra, Abhishek; Battke, Benedikt; Beuse, Martin; Stephan, Annegret; Schmidt, Tobias S.

doi:10.1016/j.rser.2015.11.085

Cited by 151 publications

(103 citation statements)

References 41 publications

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“…Section 3.2.1). In fact, use cases and grid integration of non-LIB storage technologies (e.g., redox flow batteries, compressed air energy storage) are described in various other contributions [6,[121][122][123]. …”

Section: Grid-applications For Bessmentioning

confidence: 99%

“…A prominent multi-use scenario is using BESS for support of a Micro-Grid (MG) or Island Grid: BESS linked to EMS control may serve simultaneously for control reserve (droop control, frequency regulation), voltage stabilization (active and reactive power control) and as a balancing unit in times of supply/demand mismatch [121]. As such, BESS may significantly reduce fuel consumption of diesel generation (a direct applications' profit) and lower local emissions [168].…”

Section: Combined Applicationsmentioning

confidence: 99%

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Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

et al. 2017

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Battery energy storage systems have gained increasing interest for serving grid support in various application tasks. In particular, systems based on lithium-ion batteries have evolved rapidly with a wide range of cell technologies and system architectures available on the market. On the application side, different tasks for storage deployment demand distinct properties of the storage system. This review aims to serve as a guideline for best choice of battery technology, system design and operation for lithium-ion based storage systems to match a specific system application. Starting with an overview to lithium-ion battery technologies and their characteristics with respect to performance and aging, the storage system design is analyzed in detail based on an evaluation of real-world projects. Typical storage system applications are grouped and classified with respect to the challenges posed to the battery system. Publicly available modeling tools for technical and economic analysis are presented. A brief analysis of optimization approaches aims to point out challenges and potential solution techniques for system sizing, positioning and dispatch operation. For all areas reviewed herein, expected improvements and possible future developments are highlighted. In order to extract the full potential of stationary battery storage systems and to enable increased profitability of systems, future research should aim to a holistic system level approach combining not only performance tuning on a battery cell level and careful analysis of the application requirements, but also consider a proper selection of storage sub-components as well as an optimized system operation strategy.

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Section: Grid-applications For Bessmentioning

confidence: 99%

Section: Combined Applicationsmentioning

confidence: 99%

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

et al. 2017

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“…Remote, rural or island systems are an important exception. Many utilities have programs of research aimed at supporting the edge of the rural distribution grid [9,10].…”

Section: Introductionmentioning

confidence: 99%

Load forecasting for diurnal management of community battery systems

Wolfs

Emami

Lin

et al. 2018

J. Mod. Power Syst. Clean Energy

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This paper compares three methods of load forecasting for the optimum management of community battery storages. These are distributed within the low voltage (LV) distribution network for voltage management, energy arbitrage or peak load reduction. The methods compared include: a neural network (NN) based prediction scheme that utilizes the load history and the current metrological conditions; a wavelet neural network (WNN) model which aims to separate the low and high frequency components of the consumer load and an artificial neural network and fuzzy inference system (ANFIS) approach. The batteries have limited capacity and have a significant operational cost. The load forecasts are used within a receding horizon optimization system that determines the state of charge (SOC) profile for a battery that minimizes a cost function based on energy supply and battery wear costs. Within the optimization system, the SOC daily profile is represented by a compact vector of Fourier series coefficients. The study is based upon data recorded within the Perth Solar City high penetration photovoltaic (PV) field trials. The trial studied 77 consumers with 29 rooftop solar systems that were connected in one LV network. Data were available from consumer smart meters and a data logger connected to the LV network supply transformer.

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“…Previous studies highlighted the role of energy storage with renewable electricity generation [16] and the operation conditions of batteries in PV applications [33]. Other studies examined the economic viability of storage [28] and the use cases for stationary battery technologies [36] but it is necessary to analyze the economic and 35 ecological cost of the combination of different energy storage strategies [22,29]. Nonetheless, integrating storage technologies into solar PV systems increase the overall investment cost.…”

Section: Introductionmentioning

confidence: 99%

A parametric tool to evaluate the environmental and economic feasibility of decentralized energy systems.

Siraganyan¹,

Mauree²,

Perera³

et al. 2018

Preprint

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A simulation tool is developed to make a comprehensive techno-economic and environmental assessment of a case study under different scenarios. Different capacity of solar and storage technologies are considered. The model calculates the levelized cost of electricity, the autonomy level and the CO 2 emissions. We demonstrate that the economic profitability of solar and battery system is in very good agreement with HOMER and the autonomy level is validated by using a simulation tool created by SI-REN. We show that combining solar PV with battery system doesn't bring additional autonomy to the model for Geneva considering the present market prices for batteries and seasonal changes in solar energy potential. The validated tool is then extended to include the thermal demand and generation by adding heat pumps and solar thermal. The availability of thermal storage at a large scale and the generation over a neighbourhood are shown to increase the autonomy of the neighbourhood. Finally, multiple scenarios are also run by changing the input parameters to perform a sensitivity analysis of these parameters on the performance of the model. Under the assumptions of the model, to foster investments in solar PV and battery installations, falling investments costs seem necessary for the future.

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Use cases for stationary battery technologies: A review of the literature and existing projects

Cited by 151 publications

References 41 publications

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Load forecasting for diurnal management of community battery systems

A parametric tool to evaluate the environmental and economic feasibility of decentralized energy systems.

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