Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach

Reis, Inês F. G.; Gonçalves, Ivo; Lopes, Marta A. R.; Antunes, Carlos Henggeler

doi:10.3390/en14040989

Cited by 27 publications

(10 citation statements)

References 60 publications

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“…Moreover, we do not refer only to isolated Energy Communities but to more complex structures, such as the Urban Energy Islands. They are supposed to be urbanized systems with appropriate technological infrastructures combined to become a single body that produces and consumes energy from renewable sources in spatially close environments [23].…”

Section: Logical Framework: Aim and Methodsmentioning

confidence: 99%

Energy Communities: Technical, Legislative, Organizational, and Planning Features

et al. 2022

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Worldwide, the use of fossil fuels covers almost 80% of the entire energy needs. In the European Union (EU), 2020 represents a watershed: for the first time, renewables were the main source of electricity. In Italy, the latest surveys demonstrate an increase in the use of alternative energy sources. European legislative framework highlights the importance of these new trends encouraging (and imposing) the use of renewables. The necessity to become more proactive in the energy production–consumption process and in the achievement of sustainability targets brings people to create Energy Communities (ECs) to manage their own energy supply chain. The authors present an overview of the main legislative framework in the EU and Italy in relation to ECs, analyzing the energy consumption, the electricity and heat energy production potentiality, and the energy balance in a portion of an Italian middle-size city in the Milan metropolitan area. Moreover, they underline the technical, regulatory, and planning possibilities to achieve energy independence, exchanging energy among the selected urban district when there is a surplus in production. Lastly, the authors underline the strengths and barriers to the development of ECs.

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Section: Logical Framework: Aim and Methodsmentioning

confidence: 99%

Energy Communities: Technical, Legislative, Organizational, and Planning Features

et al. 2022

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“…Based on the literature review, the available data from Luče, the weather factors and the presence of home energy storage were separately analyzed and quantified using the SSL and SCL [8,9,10,11]. The available data in the case EC is individual PV production, home battery power profile and house net consumption, i.e., the total consumption of the building was not known and had to be estimated based on the PV and battery profiles.…”

Section: Methodsmentioning

confidence: 99%

Analysis of the Concepts of Self-Sufficiency of Renewable Energy Sources of the Local Energy Community of Luče, Slovenia

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Medved

et al. 2022

2022 18th International Conference on the European Energy Market (EEM)

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Energy communities play a vital role in energy transition as nations strive to reach climate goals and integrate renewable energy into the energy mix. The factors that influence the self-sufficiency of energy communities are battery storage, weather variables, i.e., global horizontal irradiance, cloud cover, etc., and scenarios regarding the size of the energy community were analyzed in the COMPILE project using the energy community of Luče, Slovenia as a case study. These factors were quantified using the key performance indicators of selfsufficiency level and self-consumption level. It was found that battery storage of the individual buildings did not improve their energy self-sufficiency whereas buildings without batteries had self-sufficiency levels 11.8% greater than or equal to the buildings with batteries on average. Global horizontal irradiance and temperature were found to have a greater impact on selfsufficiency than rain and cloud cover, and high consumption buildings decreased the self-sufficiency level by up to 43%.

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“…In particular, the installed capacity of the PV panels within REC as well as minimum and maximum measured values of P tei,meas during day and night hours are used to extract information regarding the trends of generation and consumption profiles and their corresponding peak values. Once the scaled profiles of P t F ′ tc and P t F ′ tg introduced in (3) are calculated, the scaled forecast of the net power at the PCC is calculated similar to (1). For the selection of the best scaled forecast of the net power profile, the one with the smallest RMSE is chosen.…”

Section: ) Forecast Calibrationmentioning

confidence: 99%

“…On the path towards this changing paradigm, new business models and energy infrastructure ownership configurations are emerging [1]. In this regard, the concept of Renewable Energy Community (REC) is gaining increasing attention, both in literature and in the European Union (EU) regulatory framework which sets the path for the energy transition policies for 2030 and 2050.…”

Section: Introduction a Renewable Energy Communities: Operation And C...mentioning

confidence: 99%

Development of an Energy Management System for a Renewable Energy Community and Performance Analysis via Global Sensitivity Analysis

et al. 2023

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This paper presents the development of an energy management system (EMS) for a renewable energy community (REC) with the load-generation balancing objective. In this regard, rule-based and optimization mechanisms are proposed for the REC management in line with the scope of a field trial and considering the scarcity of the measurement and historical data. This typical data scarcity along with the intermittent behaviour of renewable energy resources introduce an unavoidable level of uncertainty-not being adequately addressed in the EMS literature-that might ultimately affect the proper REC management. Hence, a comprehensive performance analysis of the proposed EMS has been conducted via global sensitivity analysis (GSA). Particularly, variance-based sensitivity analysis has been employed to investigate how the variability of a set of selected indicators of the REC performance is apportioned to the different sources of uncertainty specifically related to the forecast and flexibility availability. Results show that the EMS performance is consistent with the EMS objective. The application of GSA reveals though interesting findings that contradict antecedent misconceptions about how different uncertainty sources affect the EMS performance. Although being related to the specific REC under study, the present work specializes GSA method in novel ways that pave the path for its reusability in the context of other EMS applications with different boundary conditions. By highlighting the necessity of GSA and showcasing its suitability to study the EMS performance under an uncertainty framework, the present work offers a precious tool to support system operators in their decision making process.

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Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach

Cited by 27 publications

References 60 publications

Energy Communities: Technical, Legislative, Organizational, and Planning Features

Energy Communities: Technical, Legislative, Organizational, and Planning Features

Analysis of the Concepts of Self-Sufficiency of Renewable Energy Sources of the Local Energy Community of Luče, Slovenia

Development of an Energy Management System for a Renewable Energy Community and Performance Analysis via Global Sensitivity Analysis

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