On the role of storage for electricity in smart energy systems

Ajanović, Amela; Hiesl, Albert; Haas, Reinhard

doi:10.1016/j.energy.2020.117473

Cited by 65 publications

(41 citation statements)

References 18 publications

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“…7,9 Aside from the above-mentioned arbitrage approach, there might also be the opportunity of own use of the stored electricity 'behind the meter' , for example in a household, at a farm, in a super market, or in an office building. 8 In this case, storage costs compete with the end users' electricity price and show a positive economic performance if storage costs are lower than electricity costs including all fees and taxes but excluding fixed costs.…”

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confidence: 99%

“…In addition, in smart and sustainable energy systems of the future there will be greater opportunities to place storage than in the conventional system of the past. 11,8,36 A major reason is that in future the one-way system of the past will be replaced by kind of a bidirectional system where more flexibility options in the whole electricity system will be used including prosumers and prosumagers as well. 8 In addition, it has to be stated that storage is not the only flexibility option.…”

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confidence: 99%

“…11,8,36 A major reason is that in future the one-way system of the past will be replaced by kind of a bidirectional system where more flexibility options in the whole electricity system will be used including prosumers and prosumagers as well. 8 In addition, it has to be stated that storage is not the only flexibility option. It is in competition with grid extension, load management and other options.…”

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On current and future economics of electricity storage

2020

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Increasing electricity generation from variable renewable energy sources, such as wind and solar, has led to interest in additional short-term and long-term storage capacities. The core objective of this paper is to investigate the costs and the future market prospects of different electricity storage options, such as short-term battery storage and long-term storage as pumped hydro storage, as well as hydrogen and methane from power-togas conversion technologies. The method of approach is based on a formal economic framework with a dynamic component to derive scenarios up to 2040. The major conclusion is that the economic prospects of storage are not very bright. For all market-based storage technologies it will become hard to compete in the wholesale electricity markets and for decentralized (battery) systems it will be hard to compete with the end users' electricity price. The core problem of virtually all categories of storage are low full-load hours (for market-based systems) and low full charge/discharge cycles (for decentralized batteries). However, any new storage capacity should be constructed only in a coordinated way and if there is a clear sign for new excess production, in this case from variable renewables. In addition, for hydrogen and methane there could be better economic prospects in the transport sector due to both, higher energy price levels as well as a general lack of low carbon fuel alternatives.

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On current and future economics of electricity storage

2020

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“…113,114 The energy storage for SG can be short-term storage (ie, battery) or long-term storage (ie, compressed air, pumped hydro storage). 115 The implementation of large capacity energy storage system in SG is a complex task, which causes high energy loss. 116 Considering this issue, distributed energy storage (DES) system can be alternative solution excess energy storage in SG.…”

Section: Integration Of Renewable Energy Sources and Storage Systemmentioning

confidence: 99%

Progress on the demand side management in smart grid and optimization approaches

et al. 2020

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The integration of demand side management (DSM) with smart grid (SG) can facilitate residents' transfer into smart homes and sustainable cities by reducing the carbon emission. This manuscript reviews the recent works related to the application of DSM in SG through discussing the techniques and algorithms and their associated challenges for effective implementation. This paper also critically discusses the operation mode of DSM, the profile of energy production, storage and consumption, and finally the benefit obtained by the DSM implementation. Previous literature suggested that DSM practice reduced peak-to-average ratio, energy cost and carbon emission by approximately 10% to 65%, 5% to 50%, and 14%, respectively. The implementation of DSM in SG deals with a number of challenges such as security and privacy, tariff regulation, energy transmission, distribution, and effective utilization of energy resources. A number of international organizations have taken various measures and solutions to guarantee the security and privacy of the DSM in SG discussed. So far, a number of algorithms have been used as optimization approach to solve the DSM optimization problems; however hybrid algorithms have showed better performance than single algorithms due to their faster convergence speed. At the end, the paper presents the research gaps and future research directions.

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“…That approach imposes to rethink the previous energy model, allowing to analyse and implement the Smart mutual interactions between different sectors, as well as at different scale [3][4][5]. To do so, in recent years, the Smart Energy Systems concept was introduced by several academic authors [6][7][8][9]. Depending on the boundary conditions associated to each energy system, the hydrogen use can play marginal or key role in the next future.…”

Section: Introductionmentioning

confidence: 99%

Adsorption gas Heat Pump fuelled with hydrogen enriched natural gas blends: the analytical simulation model development and validation

et al. 2020

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This study deals with the implementation of an analytical model to simulate the energy performance associated to a commercial Gas adsorption Heat Pump, when H2NG (Hydrogen Enriched Natural Gas) blends are used as fuel. In detail, a water source heat pump manufactured by Robur (GAHP-WS) has been used as a reference device for building the simulation model within the MATLAB-Simulink environment. Thereafter, the simulation results have been validated by the experimental campaign, testing on field and in actual operating conditions the heat pump. Specifically, the model has been developed by implementing the WaterAmmonia mass and energy balances for each component. It is able to evaluate fuel consumption, efficiency in terms of GUE, required thermal power from the cold heat sink as well as the water outlet temperature at the evaporator, once the heating load is used as the main input. The experimental campaign for the model calibration and validation has been carried out over the winter season. Additionally, the heat pump performance has been detected when it operates to supply hot water at 60 °C and 55 °C, and it is fuelled with growing hydrogen fractions, starting from 0% vol., 5% vol. up to 10% vol. In the end, the standard errors as well as the relative ones affecting the main output parameters have computed for the validation process. From the outcomes it emerges that the average relative standard error related to all load conditions is lower than 2.5% for natural gas operation. On the contrary, it ranges between 2.5% and 4% when H2NG at 5% and 10% by volume have been burnt.

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On the role of storage for electricity in smart energy systems

Cited by 65 publications

References 18 publications

On current and future economics of electricity storage

On current and future economics of electricity storage

Progress on the demand side management in smart grid and optimization approaches

Adsorption gas Heat Pump fuelled with hydrogen enriched natural gas blends: the analytical simulation model development and validation

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