Author ORCID Identifier
https://orcid.org/0000-0001-9123-0845
Document Type
Article
Disciplines
2.2 ELECTRICAL, ELECTRONIC, INFORMATION ENGINEERING, Electrical and electronic engineering
Abstract
Toward the achievement of decarbonised European smart grid network by 2050, the European Commission (EC) has given high importance to its “Clean Energy for all Europeans Package (CEP)” by empowering individuals and groups of consumers to participate in this energy transition. Such energy transition demands residential households to transform the energy-positive smart homes into energy-active smart homes, thus building a smart community. This transformation will expedite if the residential customers are provided with a better choice of supply, access to reliable energy prices, possibility to produce and sell their own electricity with increased transparency and better regulation for more involvement in the energy system and respond to the price signals [1]. Smart community-based electricity market (SCEM), centred around a local smart community, is an emerging and consumer-centric market approach that empowers consumers with smart homes to become more active through participation in the trading of green electricity among smart homes within the community or beyond. As Europe is rolling out smart electricity meters at a promising pace [2] along with widespread deployment of DERs and energy management systems [3], the abovementioned trend is becoming more eminent in future.
DOI
https://doi.org/DOI: 10.1109/TIA.2022.3202756
Recommended Citation
Saif, Aziz; Khadem, Shafi K.; Conlon, Michael; and Norton, Brian, "Impact of Distributed Energy Resources in Smart Homes and Community-Based Electricity Market" (2023). Articles. 343.
https://arrow.tudublin.ie/engscheleart2/343
Funder
BEYOND project; ERA-Net Smart Energy Systems European Union's Horizon 2020 research and innovation programme (Grant Number: 775970); 10.13039/501100001603-Sustainable Energy Authority of Ireland (Grant Number: 91/RDD/578)
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Publication Details
https://ieeexplore.ieee.org/document/9870539/keywords#keywords
https://doi.org/DOI: 10.1109/TIA.2022.3202756