The viability of electrical energy storage for low-energy households

Grantham, Adrian; Pudney, Peter; Ward, Lesley A.; Whaley, David; Boland, John

doi:10.1016/j.solener.2017.07.063

Cited by 39 publications

(20 citation statements)

References 11 publications

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“…Furthermore, the minimum EC recorded is 49.8 kWh. This value is shown during the week with the lowest solar PV production (13)(14)(15)(16)(17)(18)(19) August). Figure 6b shows the profiles in the week with low solar PV energy in which the battery has the deepest discharge.…”

Section: Proof Of Concept For Testing a Sea-salt Battery Under Scaledmentioning

confidence: 95%

“…In the literature, storage sizing methods have been investigated. The focus has been in the development of algorithms for storage sizing for smart grids [11,12], the economic feasibility of batteries for large storage of renewables [13,14], and hybrid renewable energy technologies combined with multiple storage systems [15,16], to name a few. These studies concluded that storage sizing is important in order to ensure 100% off-grid scenarios for households.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Pulido

Hoogsteen

Kortenaar³

et al. 2018

Energies

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This work uses experimental data to estimate the size of storage needed for an isolated off-grid household in two different regions (Austin, Texas, US, and Nunspeet, NL). In our study, an off-grid house is considered to be supplied with 100% renewable energy during the summer period, in which cooling demand is neglected, and a solar photovoltaic (PV) system and batteries are the main electrical energy providers. Based on results achieved with the DEMkit simulation package we can conclude that, in both cases, using a solar PV system and a Sea-Salt battery would have been sufficient to provide the necessary electricity without showing a blackout during the summer of 2016. The Austin household needs a solar PV system of 38 kWp and storage of 452 kWh; in the case of Nunspeet, a solar PV system of 11.5 kWp and storage of 90 kWh is sufficient. Furthermore, using the DEMkit model, it is possible to determine an optimal value for the size of storage to half of the initial battery capacity (226 kWh for Austin and 45 kWh for Nunspeet) and still be able to provide enough power to cover the load demand of the households during the summer. In a second part, data of the solar PV system and load from Austin for one specific week was used to create data of a 'typical' but downscaled day. This day was used to determine the fluctuation of electricity for a real Sea-Salt battery for the considered off-grid scenario in Austin. The downscaling of the data was needed in order to have load values that fit to the size of the real battery. The tests show that the Sea-Salt battery under real electricity fluctuations is possibly adequate for off-grid scenarios.

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Section: Proof Of Concept For Testing a Sea-salt Battery Under Scaledmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Pulido

Hoogsteen

Kortenaar³

et al. 2018

Energies

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“…In this mode, the comprehensive utilization of optical fiber communication technology, computer technology, sensing technology, relay protection and control technology, power grid operation technology and other technologies can significantly improve the dispatching performance of the power grid regulation and control. The IEC61850 standard [3], [4] is implemented and extent on the level of scheduling and controlling [5], [6]. By centralizing the configuration and management of the dispatching protection equipment within the scope of centralized dispatching and control, integration of dispatching automation and protection control is realized.…”

Section: Introductionmentioning

confidence: 99%

A New Dispatch Control Integration System of the Smart Grid Based on the Regional Network Centralized Protected Mode

Zhang¹,

Na²,

Jing³

et al. 2018

JOCET

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The hierarchical management and monitor model is a popular approach for the dispatch control mode of the smart grid. However, this model has many defects, e.g., the management of the data flow in the dispatch control system is very difficult, and the running efficiency of the dispatch control system is very bad too. This paper presents a regional network centralized protected mode(RNCPM) of the smart grid and establishes a new dispatch control integration system (DCIS)of the smart grid. The system architecture and key technologies of the DCIS based on RNCPM are proposed. A new communication architecture and the new features of the unified cross-section panoramic data(UCSPA) is studied. A new scheduling operation and management mode and panoramic data system platform of smart grid are developed. The DCIS under RNCPM can have integrated the schedule and monitor of the smart grid. The proposed system will lead to a new operation and maintenance mode of smart grid. The new system will further optimize the scheduling and workflow transformer of the substation. And the overall level of smart grid security and emergency levels will be significant raised.Index Terms-Dispatch control integration, regional network centralized protection, smart grid, panoramic data.

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“…We calculate the payback period for various energy storage configurations, and develop a method that can be used to estimate the ideal amount of storage for a household without requiring detailed data logs. The results have been published in [1,[5][6][7]. [3] …”

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confidence: 99%

Mathematical Tools for Maximising Renewable Energy Use in Electricity Supply

Grantham

2017

Bull. Aust. Math. Soc.

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In recent years there have been growing concerns over pollution, energy security, rising energy prices and, in particular, how greenhouse gas (GHG) emissions are contributing to climate change. The world's reliance on fossil fuels for generating electricity is unsustainable.Several studies have shown that it is feasible for Australia and other countries to use renewable energy for 100% of electricity generation. Many of these studies make simplifying assumptions, such as hourly or daily time scales and low spatial resolution. These assumptions are adequate for first approximations, but are not accurate enough for detailed system design.This thesis develops methods for creating renewable energy data with realistic variations at high temporal and spatial resolutions and sufficient accuracy for detailed system design.We address the need for solar irradiance data with high temporal resolution by developing a method for generating synthetic five-minute pairs of global horizontal irradiance (GHI) and direct normal irradiance (DNI), interpolated from hourly mean values. Our method can be applied to locations where only hourly data is available. The results have been published in [3,4].We address the need for short-term probabilistic forecasting of solar irradiation. Renewable energy sources such as wind and solar irradiance are inherently intermittent, and so their integration into an electric power grid requires accurate and reliable estimation of uncertainties. We present a new data-driven method for constructing a full predictive density of solar irradiation, based on a nonparametric

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The viability of electrical energy storage for low-energy households

Cited by 39 publications

References 11 publications

Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands

A New Dispatch Control Integration System of the Smart Grid Based on the Regional Network Centralized Protected Mode

Mathematical Tools for Maximising Renewable Energy Use in Electricity Supply

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