Analysis on impact of shared energy storage in residential community: Individual versus shared energy storage

Walker, A.; Kwon, Soongeol

doi:10.1016/j.apenergy.2020.116172

Cited by 128 publications

(26 citation statements)

References 14 publications

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“…In energy communities, individual households can invest in their own energy assets (renewable generation capacity and storage), or can jointly invest in the big community-owned energy assets and can then share energy and associated financial benefits within the community. Hence, techno-economic assessment between energy communities with individuallyowned prosumer assets and models with community-owned assets have recently gained increased attention in the literature [7], [14]- [17]. Most of the studies focus on comparing the battery storage adoption at the individual household scale with storage adoption at the community scale.…”

Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

“…Their results show that the community battery is better in terms of economic revenues compared to individual household batteries, as it requires less storage capacity overall and increases the self-consumption rate. Likewise, Walker & Kwon [17] have compared the economic and operational performance of individual and community shared storage. Their results also showed that the shared CES can achieve the maximum cost savings and significantly improve the utilization of energy storage.…”

Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

“…The review states that CES have a huge potential to reduce import from the utility grid and thus maximize the self-consumption of the community. Hence, the advantages of CES over HES is well identified in the literature [7], [14]- [17], [59]- [64]. However, to our knowledge, most of the existing studies on comparison of individually-owned assets versus centrally located community-owned assets, while considering both the renewable generation and battery, have not included the battery degradation cost in their technoeconomic analysis.…”

Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

“…Furthermore, although most prior literature sources show that community-owned battery storage system offers higher benefits as compared to individually-owned distributed batteries [7], [14]- [17], these studies often do not consider battery degradation cost. Also, although higher benefits can be achieved by investing in community assets, how to redistribute these benefits among the individual households in the community still remains a key open question, of both research and practical interest.…”

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confidence: 99%

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Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

et al. 2021

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The trend of decentralization of energy services has given rise to community energy systems. These energy communities aim to maximize the self-consumption of local renewable energy generated and stored in assets that are typically connected to low-voltage (LV) distribution networks. Energy community schemes often involve jointly owned assets such as community-owned solar photo-voltaic panels (PVs), wind turbines and/or shared battery storage. This raises the question of how these assets should be controlled in real-time, and how the energy outputs from these jointly owned assets should be shared fairly among heterogeneous community members. Crucially, such real-time control and fair sharing of energy must also consider the technical constraints of the community, such as the local LV network characteristics, voltage limits and power ratings of electric cables and transformers. In this paper, we design and analyze a heuristic-based battery control algorithm that considers the influence of battery life degradation, and the resultant increase in local renewable energy consumption within local operating constraints of the LV network. We provide a model that first studies the techno-economic benefits of community-owned versus individually-owned energy assets considering the network/grid constraints. Then, using the methodology and principles from cooperative game theory, we propose a redistribution model for benefits in a community based on the marginal contribution of each household. The results from our study demonstrate that the redistribution mechanism is fairer and computationally tractable compared to the existing state-of-the-art methods. Thus, our methodology is more scalable with respect to modelling the economic sharing of joint assets in community energy systems.

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Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

mentioning

confidence: 99%

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Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

et al. 2021

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“…The data were numerically interpolated to generate minute-by-minute variation which is shown in Figure 2a in the form of average value per household. Because of aggregation over a large number of dwellings, the average consumption of power per dwelling does not show sudden spikes associated with the switching on or off of large power consuming devices such as the air conditioner or the washing machine [36].…”

Section: Construction Of Residential Load Profilementioning

confidence: 99%

Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load

2021

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Integration of renewable energy sources such as solar photovoltaic (PV) generation with variable power demand systems like residential electricity consumption requires the use of a high efficiency electrical energy system such as a battery. In the present study, such integration has been studied using vanadium redox flow battery (VRFB) as the energy storage system with specific focus on the sizing of the power and energy storage capacities of the system components. Experiments have been carried out with a seven-day simulated solar insolation and residential load characteristics using a 1 kW VRFB stack and variable amounts of electrolyte volume. Several scenarios have been simulated using power and energy scale factors. Battery response, in terms of its power, state of charge and efficiency, has been monitored in each run. Results show that the stack power rating should be based on peak charging characteristics while the volume of electrolyte should be based on the expected daily energy discharge through the battery. The PV source itself should be sized at about 25% more energy rating than the average daily load. The ability to design a VRFB with a high power-to-energy ratio makes it particularly attractive for PV-load integration.

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Energy‐Sharing Economy with Renewable Integration and Management in Communities—a State‐of‐the‐Art Review

Zhou

2024

Adv Energy and Sustain Res

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Climate change and extreme weather events impose urgent necessities on distributed energy systems with energy flexibility and resilience to survive the district power supply systems. Compared to centralized energy systems, distributed energy systems show more superiorities in power shifting, fast demand response, regional energy allocations, and so on. However, electrification transformation‐ enabled flexible energy sharing, smart energy integration, and advanced management are still in their infancy stages, with unsolved but urgent issues, like large‐scale energy system planning and optimization, energy trading and pricing mechanisms, so on. In this study, energy‐sharing economy with renewable integration and management in communities has been comprehensively reviewed. The “source–grid–load–storage” framework has been implemented on district energy systems with complex relationships among the energy supply–storage–transmission–distribution chain. Roles of energy sharing, integration, and management on energy system sustainability have been provided. Considering widely installed large‐scale renewable energy systems, planning and optimization platforms and tools are provided to guide the distributed/centralized system planning and accurate capacity sizing. Results showed that, multi‐directional power interactions with electrification in buildings and E‐mobility spatiotemporal energy sharing and smart grids enable high renewable penetration, fast power response, energy supply reliability, etc. Unlike traditional fossil fuel‐based power plants, distributed renewable‐supported energy systems (like BIPVs, electric vehicles, etc.) enable emerging energy sharing, integration, and management for energy flexibility and resilience with fast response and energy survivals. Roles of advanced energy include power shifting, fast demand response, regional energy allocations, and so on. Electricity market liberalization can incentivize multi‐stakeholders’ proactivity and market vitality for distributed renewable energy spatiotemporal microgrids. Dynamic energy pricing for the shared power is dependent on the supply–demand relationship, and cost–benefit allocations among different stakeholders need to be investigated for justice and fairness. To avoid performance over or underestimations, advanced approaches are highly necessary for large‐scale energy system planning and optimization. Research results can pave paths for upcoming studies in urban energy system planning, design, and optimization with high energy efficiency and low carbon emissions through joint collaborations from highly economically incentivized participators.

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Analysis on impact of shared energy storage in residential community: Individual versus shared energy storage

Cited by 128 publications

References 14 publications

Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load

Energy‐Sharing Economy with Renewable Integration and Management in Communities—a State‐of‐the‐Art Review

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