Battery energy storage systems: Assessment for small-scale renewable energy integration

Nair, Nirmal-Kumar C.; Garimella, Niraj

doi:10.1016/j.enbuild.2010.07.002

Cited by 270 publications

(110 citation statements)

References 14 publications

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“…This situation is changing because of the electricity management possibilities for consumers and small power producers. Thus, battery energy storage systems are likely to have a significant impact in the small-scale integration of renewable energy sources into commercial and residential sectors (Nair and Garimella, 2010). Moreover, several storage technologies are in use today in multiple applications, while others are still under research and development (Hadjipaschalis et al, 2009;Wagner, 1997).…”

Section: Storage System and Battery Controllermentioning

confidence: 99%

PV self-consumption optimization with storage and Active DSM for the residential sector

et al. 2011

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With the rising prices of the retail electricity and the decreasing cost of the PV technology, grid parity with commercial electricity will soon become a reality in Europe. This fact, together with less attractive PV feed-in-tariffs in the near future and incentives to promote self-consumption suggest, that new operation modes for the PV Distributed Generation should be explored; differently from the traditional approach which is only based on maximizing the exported electricity to the grid. The smart metering is experiencing a growth in Europe and the United States but the possibilities of its use are still uncertain, in our system we propose their use to manage the storage and to allow the user to know their electrical power and energy balances. The ADSM has many benefits studied previously but also it has important challenges, in this paper we can observe and ADSM implementation example where we propose a solution to these challenges. In this paper we study the effects of the Active Demand-Side Management (ADSM) and storage systems in the amount of consumed local electrical energy. It has been developed on a prototype of a self-sufficient solar house called "MagicBox" equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. We carried out simulations for long-time experiments (yearly studies) and real measures for short and mid-time experiments (daily and weekly studies). Results show the relationship between the electricity flows and the storage capacity, which is not linear and becomes an important design criterion.

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Section: Storage System and Battery Controllermentioning

confidence: 99%

PV self-consumption optimization with storage and Active DSM for the residential sector

et al. 2011

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“…This work, therefore, aims at closing this gap by evaluating the profitability of nonsubsidized shared PV systems in multiapartment buildings, while also considering the relation of tenants and landlords. Furthermore, a combination of a PV system and an energy storage facility is examined, as an energy storage enables improvements in the utilization level of PV electricity and contributes to the mitigation of supply inconsistency due to weather conditions and daytime [32,33]. Although the model described in Section 3 is applicable for any country, the results are calculated explicitly for Austria and compared with the situation in Germany regarding retail electricity prices.…”

Section: State Of the Artmentioning

confidence: 99%

Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany

Fina

Fleischhacker

Auer

et al. 2018

Journal of Renewable Energy

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This paper analyses the profitability and business models of shared, nonsubsidized PV systems' usage in multiapartment buildings in Austria in the context of legislative amendments which came into force in July 2017. In addition, it compares the Austrian results with those of Germany, where significantly higher retail electricity prices determine the profitability benchmark. To that end, a multiobjective optimization model is developed for the optimal dimensioning of PV systems and energy storage facilities in keeping with different end user objectives, ranging from minimizing annual electricity costs to maximizing self-consumption. The results show that the profitability of shared use of nonsubsidized PV systems is marginal in Austria. This means that, based on individual apartment load profiles, the profitability gap ranges between 0 and 40 euros per apartment, whereas the consideration of the building as total load leads to a small cost-saving potential of about 90 euros for the whole building in the best case and thus profitability. In contrast, significant profitability of shared PV systems in multiapartment buildings can be achieved in Germany, where the renewable energy surcharge results in high retail electricity prices. At present, different business models, accounting and billing concepts, are being tested in these countries to learn about the best-practice concepts.

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“…Further regulations and predicted numbers of high performance batteries will not allow this procedure in future (Nair and Garimella, 2010). Therefore, a flexible battery assembly system with autonomous robots will be introduced for high-volume serial production.…”

Section: Battery Assembly Stationmentioning

confidence: 99%

Towards Robust Predictive Fault–Tolerant Control for a Battery Assembly System

Seybold

Witczak

Majdzik

et al. 2015

International Journal of Applied Mathematics and Computer Science

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The paper deals with the modeling and fault-tolerant control of a real battery assembly system which is under implementation at the RAFI GmbH company (one of the leading electronic manufacturing service providers in Germany). To model and control the battery assembly system, a unified max-plus algebra and model predictive control framework is introduced. Subsequently, the control strategy is enhanced with fault-tolerance features that increase the overall performance of the production system being considered. In particular, it enables tolerating (up to some degree) mobile robot, processing and transportation faults. The paper discusses also robustness issues, which are inevitable in real production systems. As a result, a novel robust predictive fault-tolerant strategy is developed that is applied to the battery assembly system. The last part of the paper shows illustrative examples, which clearly exhibit the performance of the proposed approach.

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Battery energy storage systems: Assessment for small-scale renewable energy integration

Cited by 270 publications

References 14 publications

PV self-consumption optimization with storage and Active DSM for the residential sector

PV self-consumption optimization with storage and Active DSM for the residential sector

Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany

Towards Robust Predictive Fault–Tolerant Control for a Battery Assembly System

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