On the integration of the energy storage in smart grids: Technologies and applications

Κολοκότσα, Δ.; Kampelis, Nikos; Mavrigiannaki, Angeliki; Gentilozzi, Marco; Paredes, Filippo; Montagnino, Fabio Maria; Venezia, Luca

doi:10.1002/est2.50

Cited by 24 publications

(15 citation statements)

References 98 publications

(159 reference statements)

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“…The electricity production is promoted through the integration of photovoltaic modules on the buildings to cover the energy demand during most of the year considering also the use of energy storage systems [71] with light green mobility [72] as transition to Zero Energy Emission Districts (ZEED) [73]. The roofing systems are conceived to install surfaces for renewable energy exploitation optimizing the slope and configuration and the settlement design.…”

Section: Nearly Zero Energy Building Concept In Povegliamentioning

confidence: 99%

The Organization of a “Learnscape” Node in the Cognitive University Campuses Network in Poveglia Island

Bittenbinder¹,

Moretti²,

Tagliabue³

et al. 2020

J. sustain. dev. energy water environ. syst.

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Regeneration of existing buildings and abandoned areas is a governmental and European key objective. This research focuses on Poveglia: an abandoned island in the Venetian lagoon, Italy. The underpinning idea concerns the upgrade of Poveglia to a zero energy Cognitive University Campus, connected to other educational institutions in the lagoon. The vision aims at reusing abandoned islands combining architecture, learning environments and digital networks, to demonstrate the potential of new technologies for the transformation of abandoned areas. The case study demonstrates the effectiveness of employing improved and revised systems and tools, developed in eLUX lab at the University of Brescia, for the regeneration of the island. The inclusion of the island in a smart campus network results in triggering positive synergies both enhancing energy efficiency and the learning environment. A further development concerns the setup of strategies for historical preservation, energy efficiency and renewable energy production.

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Section: Nearly Zero Energy Building Concept In Povegliamentioning

confidence: 99%

The Organization of a “Learnscape” Node in the Cognitive University Campuses Network in Poveglia Island

Bittenbinder¹,

Moretti²,

Tagliabue³

et al. 2020

J. sustain. dev. energy water environ. syst.

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“…Due to the main concerns of Li‐ion batteries usage such as the overall cost, the limited number of charging cycles or lifetime, the depth of discharge, the relatively low energy density, and the sustainability of the materials used, it is suggested to consider flow batteries as a better alternative in future work. Moreover, considering the economical and safety aspect of hydrogen storage, several researchers became interested toward its solid‐state storage through adsorption and/or absorption on materials/alloys, it is suggested to consider solid‐state hydrogen storage or better ammonia storage scenarios in future work to improve the efficiency of the overall system.…”

Section: Future Workmentioning

confidence: 99%

“…Among the various types of battery technologies available, the two major types are nickel metal hydride (NiMH) and lithium‐ion (Li‐ion), however, the adoption of Li‐ion batteries is taking over since NiMH technology has reached maturity stage while Li‐ion technology has great potential for further advanced improvements . On the other hand, there are also flow batteries which are under intensive research, as a better alternative for larger‐scale storage . Although battery technology has improved dramatically during recent years, further improvement is needed to increase the energy density and to reduce the cost to make them more viable .…”

Section: Introductionmentioning

confidence: 99%

Assessment of a stand‐alone hybrid solar and wind energy‐based electric vehicle charging station with battery, hydrogen, and ammonia energy storages

Wahedi

Biçer

2019

Energy Storage

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Since the main objective of expanding the deployment of electric vehicle (EV) usage is to reduce the dependency on carbon‐based fuels, it is essential to consider eco‐friendly and renewable sources to generate the power needed for charging those vehicles. This study suggests and analyzes a stand‐alone solar and wind energy‐driven integrated system with electro/chemical energy storage to provide independent and uninterruptable power supply for EV charging stations. Due to the intermittent nature of the utilized renewable energy sources, energy storage is a key concern to be considered in this study. Therefore, in addition to batteries, hydrogen and ammonia are considered as energy storage media, which can be converted into electricity through fuel cells on demand. The results show that with selected commercialized photovoltaic power plant covering an area of about 1500 m2, a 250 kW rated wind turbine, 650 kWh Li‐ion storage batteries, 30 m3 storage of H2 in gas form, and 5 m3 storage of NH3 in liquid form, a grid‐independent charging station sufficient for fast charging of 50 number of EVs per day can be achieved. Additional suggestions are proposed to better manage the energy storage within the charging stations based on short‐term and long‐term operations.

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“…It has been shown that this technology is a relatively large-scale energy storage type with high reliability, long service life, low construction cost, acceptable performance, and an environmental friendly one. 3 Only two commercial-scale cavern-based CAES plants have been constructed to date: a 290 MW facility in Huntorf, Germany in 1978, and a 110 MW facility in McIntosh, USA in 1991. 4 Across the world, there are some other CAES plants in operation, under construction or being explored.…”

Section: Introductionmentioning

confidence: 99%

“…Cavern‐based compressed air energy storage (CAES) technology is a type of energy storage that stores surplus energy of the grid in the form of high pressure compressed air in a cavern. It has been shown that this technology is a relatively large‐scale energy storage type with high reliability, long service life, low construction cost, acceptable performance, and an environmental friendly one 3 …”

Section: Introductionmentioning

confidence: 99%

Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

et al. 2020

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Due to the dynamic interactions of the components of cavern-based compressed air energy storage plants, optimizing this system is challenging and a small change in the design parameters, such mass flow rate, compression ratio, expansion ratio can significantly alter the efficiency of the entire system. An adaptive genetic algorithm has been invoked to overcome this challenge, with system efficiency and exergy efficiency as the objective functions. The proposed method provides more flexibility to the optimization process; instead of using fixed rates for the mutation percentage, it is adjusted individually based on the feedback from both the intensity of a component's distributions in the design space and the relative objective function of that component in comparison to other components. The method is utilized for the efficiency optimization of an 80 MW plant with 9 of freedom. For performing the optimization process an automatic coupling between HYSYS and MATLAB was used. The proposed search algorithm discovered a significantly wider range of data by increasing the chance of design parameters relocation with efficient shifting of the searching domain. Outcomes indicated the merit of the algorithm by 6.4% increase in the efficiency of the plant as well as notably decreasing the number of objective function evaluations.

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On the integration of the energy storage in smart grids: Technologies and applications

Cited by 24 publications

References 98 publications

The Organization of a “Learnscape” Node in the Cognitive University Campuses Network in Poveglia Island

The Organization of a “Learnscape” Node in the Cognitive University Campuses Network in Poveglia Island

Assessment of a stand‐alone hybrid solar and wind energy‐based electric vehicle charging station with battery, hydrogen, and ammonia energy storages

Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

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