Economic analysis of energy communities: Investment options and cost allocation

Li, Na; Okur, Özge

doi:10.1016/j.apenergy.2023.120706

Cited by 22 publications

(11 citation statements)

References 27 publications

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“…Li and Okur (2023) [14] analyzed how different investment options, in combination with cost sharing approaches, affected energy communities. The test cases proposed in this research study explored two investment options, either through a third party or through investment by the community members themselves, and examined three modalities of cost sharing.…”

Section: Grid-consumption 160mentioning

confidence: 99%

Estimation of Energy Distribution Coefficients in Collective Self-Consumption Using Meta-Heuristic Optimization Techniques

Villalonga Palou,

Serrano González,

Riquelme Santos

2024

Sustainability

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The expansion of collective self-consumption is set to be a fundamental pillar for the development of energy-positive communities. In Spain, the regulation establishes an allocation scheme of self-consumed and surplus energy among the participants, based on distribution coefficients. This implies that the members of the self-consumption community must decide (or otherwise are assigned by default, according to the criteria established in the regulation) the distribution coefficients assigned to each of the consumers for the allocation of the distribution of the energy generated by the self-consumption system, as well as for the allocation of the surpluses. In this paper, the behavior of several algorithms based on heuristic techniques will be analyzed, with the aim of achieving an adequate economic optimization focused on obtaining the distribution coefficients that maximize the net present value (NPV) of the collective installation (according to the annual savings from the implementation of the self-consumption facility, compared to conventional consumption). The modeling of the problem is performed under fully realistic conditions, considering hourly consumption data, electricity prices for domestic consumers and irradiation and photovoltaic production. The results obtained show a clear improvement in the economic performance of the plant by optimizing the distribution coefficients, compared to the standard approach corresponding to the default coefficients established in the regulatory framework.

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Section: Grid-consumption 160mentioning

confidence: 99%

Estimation of Energy Distribution Coefficients in Collective Self-Consumption Using Meta-Heuristic Optimization Techniques

Villalonga Palou,

Serrano González,

Riquelme Santos

2024

Sustainability

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“…However, benefits for the investors are only obtained because an economic feasibility analysis was previously performed to determine whether the project was profitable. The financial feasibility of an energy community depends on various factors, such as the payback time, the grid electricity prices, and the costs of distributed energy resources [11].…”

Section: Economic Impacts Of Ecsmentioning

confidence: 99%

Energy Communities and Electric Mobility as a Win–Win Solution in Built Environment

Martins,

Pinheiro

2024

Energies

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Recently, there has been an increasing effort to promote energy efficiency, using renewable energies and electric mobility to achieve a more sustainable future and even carbon neutrality by 2050. This paper aims to understand if combining these technologies leads to a win–win solution. For that, the system’s characteristics that will be used for the simulation were defined as a residential community consumption scenario with and without electric vehicles charging overnight. The simulation was completed in software, and eight scenarios were tested: high population density/low population density with/without electric mobility and hourly tariff/simple tariff. After these scenarios had been tested, the conclusion was that the low population density and hourly tariff without and with electric mobility were the best two cases economically (in terms of levelized cost of energy, net present costs, and savings) and environmentally, and the worst was high population density with hourly tariff and electric mobility. Other scenarios were then tested, including changes in the load curve, namely a commercial load curve, and changes in the load curve of electric vehicle chargers, mainly daytime charging. The conclusion was that even though the initial hypothesis did not lead to a win–win solution, with changes in the hypothesis, the integration of electric mobility in energy communities might lead to that.

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“…There is no uniform design and architecture that must be followed and implemented, like in microgrids, where there are AC MG, DC MG, and hybrid AC DC MG with different components connected with them [130]. Many models were used in the research articles, and some types or examples are presented in Figure 9 with different components [108,119,131,132]. Type-01 shows the simplified architecture of the EC.…”

Section: Technological Elements Concernmentioning

confidence: 99%

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Ahmed,

Ali,

Ciocia

et al. 2024

Energies

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The Renewable Energy Community (REC) in Europe promotes renewable energy sources (RESs), offering social, economic, and environmental benefits. This new entity could alter consumer energy relationships, requiring self-consumption, energy sharing, and full utilization of RESs. Modernizing energy systems within the REC requires addressing self-consumption, energy sharing, demand response, and energy management system initiatives. The paper discusses the role of decentralized energy systems, the scenarios of the REC concept and key aspects, and activities involving energy generation, energy consumption, energy storage systems, energy sharing, and EV technologies. Moreover, the present work highlights the research gap in the existing literature and the necessity of addressing the technological elements. It also highlights that there is no uniform architecture or model for the REC, like in the case of microgrids. Additionally, the present work emphasizes the role and importance of technological elements in RECs, suggesting future recommendations for EMS, DSM, data monitoring and analytics, communication systems, and the software or tools to ensure reliability, efficiency, economic, and environmental measures. The authors also highlight the crucial role of policymakers and relevant policies, which could help in implementing these technological elements and show the importance of the RECs for a sustainable energy shift and transition.

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Economic analysis of energy communities: Investment options and cost allocation

Cited by 22 publications

References 27 publications

Estimation of Energy Distribution Coefficients in Collective Self-Consumption Using Meta-Heuristic Optimization Techniques

Estimation of Energy Distribution Coefficients in Collective Self-Consumption Using Meta-Heuristic Optimization Techniques

Energy Communities and Electric Mobility as a Win–Win Solution in Built Environment

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

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