Regulatory challenges and opportunities for collective renewable energy prosumers in the EU

Campos, Inês; Luz, Guilherme; Marín‐González, Esther; Gährs, Swantje; Hall, Stephen; Holstenkamp, Lars

doi:10.1016/j.enpol.2019.111212

Cited by 223 publications

(60 citation statements)

References 28 publications

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“…The development of small generating units in the field of power generation will allow the active participation of the final customer (end users) connected even to the low voltage network. The transition to new market model is leading to a new role for citizens, from passive energy consumers to active energy citizens-prosumers [92]. The end-user will be a key player in future electricity markets [67,93,94].…”

Section: Localization Model (Nodal)mentioning

confidence: 99%

Zonal and Nodal Models of Energy Market in European Union

Borowski

2020

Energies

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Along with economic development and development of power systems, new, more effective models of the energy market are sought. Traditional zonal models used on the electricity market have proved to be poorly adapted to new circumstances and phenomena occurring in the macroeconomic environment. The main aim of the research was to show the direction (including the nodal model and prosumer behavior) in which the energy market should develop in order to meet the state-of-the-art technical, ecological and social challenges. Therefore, with the new challenges, a new chapter has opened up on very interesting research for the electrical industry. There are new solutions for the development and modernization of models from the point of view of management and econometrics of the energy market, adapted to new challenges related to ecology, technology, and competition. This article presents the zone model with its imperfections and suggestions for its improvement and proposes a nodal model that may in the near future become a new model for the functioning of the electricity market in Europe.

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Section: Localization Model (Nodal)mentioning

confidence: 99%

Zonal and Nodal Models of Energy Market in European Union

Borowski

2020

Energies

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“…A literatura previa sobre CER centrouse en identificar barreiras e impulsores deste tipo de proxectos (Engelken, Römer, Drescher, Welpey e Picot, 2016;Heaslip, Costello e Lohan, 2016;Herbes, Brummer, Rognli, Blazejewski e Gericke, 2017;Mignon e Rüdinger, 2016), comparar a evolución en distintos países (Dóci e Gotchev, 2016;Hewitt et al, 2019;Mignon e Rüdinger, 2016; Romero-Rubio e de Andrés Díaz, 2015; Viardot, 2013), analizar o impacto do marco legal (Braito, Flint, Muhar, Penker e Vogel, 2017;Campos et al, 2020), explorar as distintas formas organizativas ou modelos de propiedade (Becker et al, 2017;Haggett e Aitken, 2015;Lowitzsch e Hanke, 2019;Walker e Devine-Wright, 2008), analizar os procesos de xeración e desenvolvemento dos proxectos e as motivacións dos seus membros (Dóci e Vasileiadou, 2015;Heaslip et al, 2016;Li et al, 2013;Rogers, Simmons, Convery e Weatherall, 2008; O obxectivo e a forma de constitución das CER poden diferir notablemente. A forma máis habitual é a de cooperativa (Bauwens, 2016;Haggett e Aitken, 2015;Hewitt et al, 2019;Yildiz, 2014).…”

Section: Comunidades Enerxéticas E Desenvolvemento Ruralunclassified

“…A necesidade de lograr un desenvolvemento sustentable e de mitigar ou reverter o cambio climático concretouse, entre outras estratexias, na necesidade de transformar o noso modelo enerxético para consolidar unha economía baixa en carbono (Campos et al, 2020;Moroni, Alberti, Antoniucci e Bisello, 2019;Seyfang, Park e Smith, 2013). As áreas rurais constitúen elementos esenciais na loita contra o cambio climático e na consecución dun desenvolvemento sustentable a escala local e global (Markantoni e Woolvin, 2013).…”

Section: Introduciónunclassified

“…Ademais, a implicación das comunidades rurais no seu propio desenvolvemento, combinando enfoques top-down ou "de arriba a abaixo" e bottom-up ou "de abaixo a arriba" (Christmann, 2014), materializouse en actuacións relevantes, pero tamén de escaso impacto, sobre o perentorio obxectivo de frear o despoboamento (Meijer, 2018). A fusión dos dous conceptos -comunidades e ER-, con todo, apenas se explorou aínda, xa non só no contexto galego (Simón et al, 2019) senón no do conxunto de España (Becker, Kunze e Vancea, 2017; Romero-Rubio e de Andrés Díaz, 2015), fundamentalmente como consecuencia dun marco normativo desfavorable que non apoiou ata a data a xeración distribuída ou descentralizada de enerxía e mais o autoconsumo (Campos et al, 2020).…”

Section: Introduciónunclassified

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Autonomía energética local y desarrollo rural sostenible. Análisis de la pre-disposición a participar en comunidades energéticas renovables

Cabarcos

Castro

Viña

2020

RGE

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Las comunidades energéticas renovables (CER) se han postulado en la literatura académica como una potencial fuente de oportunidades para el desarrollo rural sostenible. Las nuevas líneas estratégicas del Gobierno de la nación apuntan a que podrían empezar a incentivarse de un modo más contundente, haciendo necesario el análisis de los condicionantes de la predisposición a participar y/o invertir en este tipo de iniciativas. Con base en la información recogida a través de una encuesta en un pequeño pueblo de Galicia, analizamos mediante técnicas cuantitativas (análisis de componentes principales y de regresión múltiple) las características sociodemográficas y sociopsicológicas que determinan la predisposición a participar y/o invertir en una CER rural. Los resultados revelan que el género, el nivel de renta y un factor de capital social relacionado con la confianza y la cooperación resultan significativos. Estos resultados nos permiten formular conclusiones y recomendaciones para investigadores, promotores y legisladores.

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“…The model predictive control-based strategies can also be used to reduce the intermittency of RERs by accurately forecasting the generation, and load patterns [20]. The existing literature have contributed for devising energy trading algorithms [21], the trading price modeling and incentivizing prosumers [22], and maintaining network constraints [2] etc. However, there is a very limited study to improve peers' participation by using motivational models and to develop a trust among peers.…”

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confidence: 99%

Economic and Climatic Impacts of Different Peer-to-Peer Game Theoretic–Based Energy Trading Systems

et al. 2020

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Rising energy demand and the disproportionate utilization of fossil fuels not only result in power imbalance and economic drain but also raise environmental concerns. Under these challenging circumstances, microgrids provide a tactical solution by adopting distributed energy resources at user end. However, this solution is not effective without enough participation by these end users (prosumers) for sustainable energy growth in microgrids. This paper presents a behavioral control theory and various psychological motivational models to improve prosumers' participation up to the desired level. A framework for peers' management within a community is also presented. The coalition-based game theory is employed for fair and trustworthy inter-trading which lead to the formation of grand coalition by satisfying all the defined motivational models. Various trading systems i.e. feed in tariff system, peer-topeer trading with and without storage systems, and demand-side management-based peer-to-peer trading systems are used for energy inter-trading with minimum involvement with the grid. Finally, the proposed system is validated through simulations of various game theoretic-based peer-to-peer trading systems. Simulation results show a considerable reduction in average expenses for energy demand and carbon emissions with improved earnings for peers. INDEX TERMS peer-to-peer energy trading system, prosumers, demand-side management, game theory, motivational models I. INTRODUCTION Carbon emissions caused by disproportionate utilization of cost-inefficient fossil fuels have become a global concern. The world population is expected to rise by 50% in the next decade [1], resulting in a 25% upsurge in energy demand and a consequent huge gap between demand and supply. It seems difficult for the energy sector to meet such a high demand without the exploration of new generation techniques, the use of efficient plants, and adoption of bidirectional communication based power exchanges [1]. One of the possible solutions is to increase fossil fuel based-centralized generation; however, high capital cost, relocation problems, carbon emissions, socio-political pressure, energy security, and several other constraints make this choice less feasible. Currently, in the European Union (EU), buildings are responsible for 40% of carbon emissions, which can be reduced by using efficient home energy management system (HEMS) [2]. In HEMS, smart and energy-efficient appliances which have an impact on customer's preferences are used at the user end [3]. These energy efficiency improvements (EEI) will reduce energy demand and emissions. However, sometimes EEI has a motivational rebound effect, and raises energy demand [4]. Microgrids (MG) can also be used to provide a tactical solution by adopting distributed energy resources (DER) at user end [5]. The MG is a distributed grid having various distributed generators i.e. renewable energy resources (RERs), along with energy storage systems and interconnected loads to meet user demand. Traditional grids ar...

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Regulatory challenges and opportunities for collective renewable energy prosumers in the EU

Cited by 223 publications

References 28 publications

Zonal and Nodal Models of Energy Market in European Union

Zonal and Nodal Models of Energy Market in European Union

Autonomía energética local y desarrollo rural sostenible. Análisis de la pre-disposición a participar en comunidades energéticas renovables

Economic and Climatic Impacts of Different Peer-to-Peer Game Theoretic–Based Energy Trading Systems

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