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Social arrangements, technical designs and impacts of energy communities: A review

TLDR
In this paper, the economic, environmental, technical, and social impacts of energy communities are quantified and the numerical indicators used to quantify these impacts are discussed, and future research directions are highlighted.
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This article is published in Renewable Energy.The article was published on 2021-05-01. It has received 104 citations till now. The article focuses on the topics: Efficient energy use.

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Conceptualizing community in energy systems: A systematic review of 183 definitions

TL;DR: This article analyzed how the term of community is conceptualized in the scholarly literature on energy systems, through a systematic review of 405 articles and found that the meanings attached to the notion of community and the alleged objectives pursued by communities vary substantially across concepts and over time.
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Renewable Energy Communities business models under the 2020 Italian regulation

TL;DR: In this article, a multicriteria optimisation procedure was developed by evaluating two independent and normalised key performance indices: self consumption and self sufficiency of the energy community, evaluated on a hourly based energy balance by minimising the power flow to/from the electrical grid through a Mixed Integer Linear Programming scheme.
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Optimal dispatching strategy and real-time pricing for multi-regional integrated energy systems based on demand response

TL;DR: The results show that the proposed bilevel model under the RTP is conducive to social economy and environment.
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Optimal sizing of energy communities with fair revenue sharing and exit clauses: Value, role and business model of aggregators and users

TL;DR: A business model for aggregators of ECs, and its optimization problem, is proposed, and a methodology and preliminary results that can help policy makers and developers in tailoring national-level policies and market-offerings are provided.
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Optimal Energy Management of Cooperative Energy Communities considering Flexible Demand, Storage and Vehicle-to-Grid under Uncertainties

TL;DR: In this article , a stochastic-interval model is proposed to handle with uncertainties from demand, renewable generation, vehicles' behaviour and energy pricing, and a case study is performed on a six-prosumer community.
References
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Journal ArticleDOI

Blockchain technology in the energy sector: A systematic review of challenges and opportunities

TL;DR: This work provides a comprehensive overview of fundamental principles that underpin blockchain technologies, such as system architectures and distributed consensus algorithms, and discusses opportunities, potential challenges and limitations for a number of use cases, ranging from emerging peer-to-peer energy trading and Internet of Things applications, to decentralised marketplaces, electric vehicle charging and e-mobility.
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Smart energy and smart energy systems

TL;DR: The Smart Energy System concept represents a scientific shift in paradigms away from single-sector thinking to a coherent energy systems understanding on how to benefit from the integration of all sectors and infrastructures.
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Measuring energy poverty: Focusing on what matters

TL;DR: The Multidimensional Energy Poverty Index (MEPI) as mentioned in this paper was proposed to measure the deprivation of access to modern energy services in Africa, and it captures both the incidence and intensity of energy poverty and provides a new tool to support policy-making.
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A thousand flowers blooming? An examination of community energy in the UK

TL;DR: In this paper, the objectives, origins and development of these groups across the UK, their activities and their networking activities as a sector, along with the opportunities and threats presented by wider socioeconomic and political contexts, are examined.
Journal ArticleDOI

A review of urban energy system models: Approaches, challenges and opportunities

TL;DR: In this paper, the authors propose a theoretical definition of an urban energy system model and then evaluate the state of current practice in energy system modeling, focusing on the potential of sensitivity analysis and cloud computing, data collection and integration techniques, and the use of activity-based modelling as an integrating framework.
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