Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings

Mohammadreza Aghaei; Amin Moazami; Silvia Erba; Mohammad Hosseini; Italo Aldo Campodonico Avendano; Muhammad Salman Shahid; Ignacio Torrens-Galdiz; Giuseppe Mastandrea; Runar Solli; Peter Riederer; Gloria Bevilacqua; Kavan Javanroodi; Panayiotis Papadopoulos; Salvatore Carlucci; Vahid M. Nik

doi:10.1109/FES57669.2023.10182779

Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings

Mohammadreza Aghaei, Amin Moazami, Silvia Erba, Mohammad Hosseini, Italo Aldo Campodonico Avendano, Muhammad Salman Shahid, Ignacio Torrens-Galdiz, Giuseppe Mastandrea, Runar Solli, Peter Riederer, Gloria Bevilacqua, Kavan Javanroodi, Panayiotis Papadopoulos, Salvatore Carlucci, Vahid M. Nik

Division of Building Physics

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

COLLECTiEF (Collective Intelligence for Energy Flexibility) is an EU-funded H2020 project running from June 2021 to May 2025. COLLECTiEF aims to enhance, implement, test, and evaluate an interoperable and saleable energy management system based on collective intelligence that allows easy and seamless integration of legacy equipment into a collaborative network within and between existing buildings and urban energy systems with reduced installation cost, data transfer, and computational power while increasing user comfort, energy flexibility, climate resilience, and data security. To achieve this goal, the COLLECTiEF solution requires the development of software and hardware packages to smart up buildings and their legacy equipment on a large scale while maintaining simple and robust communication with the energy grid. Here, we present the project concept, structure, objectives, and working packages. Furthermore, the main progress and achievements obtained during the first two years of the project are presented.

Original language	English
Title of host publication	2023 International Conference on Future Energy Solutions, FES 2023
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350332308
DOIs	https://doi.org/10.1109/FES57669.2023.10182779
Publication status	Published - 2023
Event	2023 International Conference on Future Energy Solutions, FES 2023 - Vaasa, Finland Duration: 2023 Jun 12 → 2023 Jun 14

Publication series

Name	2023 International Conference on Future Energy Solutions, FES 2023

Conference

Conference	2023 International Conference on Future Energy Solutions, FES 2023
Country/Territory	Finland
City	Vaasa
Period	2023/06/12 → 2023/06/14

Bibliographical note

Funding Information:
ACKNOWLEDGMENT COLLECTiEF project has received research funding from European Union's H2020 research and innovation programme under Grant Agreement No 101033683.

Publisher Copyright:
© 2023 IEEE.

Subject classification (UKÄ)

Building Technologies

Free keywords

Climate resilience
COLLECTiEF
Collective intelligence
Demand side management
Energy flexibility
Urban energy system

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/FES57669.2023.10182779

Cite this

Aghaei, M., Moazami, A., Erba, S., Hosseini, M., Avendano, I. A. C., Shahid, M. S., Torrens-Galdiz, I., Mastandrea, G., Solli, R., Riederer, P., Bevilacqua, G., Javanroodi, K., Papadopoulos, P., Carlucci, S., & Nik, V. M. (2023). Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings. In 2023 International Conference on Future Energy Solutions, FES 2023 (2023 International Conference on Future Energy Solutions, FES 2023). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FES57669.2023.10182779

Aghaei, Mohammadreza ; Moazami, Amin ; Erba, Silvia et al. / Collective Intelligence for Energy Flexibility - Collectief : An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings. 2023 International Conference on Future Energy Solutions, FES 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Future Energy Solutions, FES 2023).

@inproceedings{c077edd9142e4466bbcf1151a0c3a52d,

title = "Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings",

abstract = "COLLECTiEF (Collective Intelligence for Energy Flexibility) is an EU-funded H2020 project running from June 2021 to May 2025. COLLECTiEF aims to enhance, implement, test, and evaluate an interoperable and saleable energy management system based on collective intelligence that allows easy and seamless integration of legacy equipment into a collaborative network within and between existing buildings and urban energy systems with reduced installation cost, data transfer, and computational power while increasing user comfort, energy flexibility, climate resilience, and data security. To achieve this goal, the COLLECTiEF solution requires the development of software and hardware packages to smart up buildings and their legacy equipment on a large scale while maintaining simple and robust communication with the energy grid. Here, we present the project concept, structure, objectives, and working packages. Furthermore, the main progress and achievements obtained during the first two years of the project are presented.",

keywords = "Climate resilience, COLLECTiEF, Collective intelligence, Demand side management, Energy flexibility, Urban energy system",

author = "Mohammadreza Aghaei and Amin Moazami and Silvia Erba and Mohammad Hosseini and Avendano, {Italo Aldo Campodonico} and Shahid, {Muhammad Salman} and Ignacio Torrens-Galdiz and Giuseppe Mastandrea and Runar Solli and Peter Riederer and Gloria Bevilacqua and Kavan Javanroodi and Panayiotis Papadopoulos and Salvatore Carlucci and Nik, {Vahid M.}",

note = "Funding Information: ACKNOWLEDGMENT COLLECTiEF project has received research funding from European Union's H2020 research and innovation programme under Grant Agreement No 101033683. Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Future Energy Solutions, FES 2023 ; Conference date: 12-06-2023 Through 14-06-2023",

year = "2023",

doi = "10.1109/FES57669.2023.10182779",

language = "English",

series = "2023 International Conference on Future Energy Solutions, FES 2023",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 International Conference on Future Energy Solutions, FES 2023",

address = "United States",

}

Aghaei, M, Moazami, A, Erba, S, Hosseini, M, Avendano, IAC, Shahid, MS, Torrens-Galdiz, I, Mastandrea, G, Solli, R, Riederer, P, Bevilacqua, G, Javanroodi, K, Papadopoulos, P, Carlucci, S & Nik, VM 2023, Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings. in 2023 International Conference on Future Energy Solutions, FES 2023. 2023 International Conference on Future Energy Solutions, FES 2023, IEEE - Institute of Electrical and Electronics Engineers Inc., 2023 International Conference on Future Energy Solutions, FES 2023, Vaasa, Finland, 2023/06/12. https://doi.org/10.1109/FES57669.2023.10182779

Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings. / Aghaei, Mohammadreza; Moazami, Amin; Erba, Silvia et al.
2023 International Conference on Future Energy Solutions, FES 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Future Energy Solutions, FES 2023).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Collective Intelligence for Energy Flexibility - Collectief

T2 - 2023 International Conference on Future Energy Solutions, FES 2023

AU - Aghaei, Mohammadreza

AU - Moazami, Amin

AU - Erba, Silvia

AU - Hosseini, Mohammad

AU - Avendano, Italo Aldo Campodonico

AU - Shahid, Muhammad Salman

AU - Torrens-Galdiz, Ignacio

AU - Mastandrea, Giuseppe

AU - Solli, Runar

AU - Riederer, Peter

AU - Bevilacqua, Gloria

AU - Javanroodi, Kavan

AU - Papadopoulos, Panayiotis

AU - Carlucci, Salvatore

AU - Nik, Vahid M.

N1 - Funding Information: ACKNOWLEDGMENT COLLECTiEF project has received research funding from European Union's H2020 research and innovation programme under Grant Agreement No 101033683. Publisher Copyright: © 2023 IEEE.

PY - 2023

Y1 - 2023

N2 - COLLECTiEF (Collective Intelligence for Energy Flexibility) is an EU-funded H2020 project running from June 2021 to May 2025. COLLECTiEF aims to enhance, implement, test, and evaluate an interoperable and saleable energy management system based on collective intelligence that allows easy and seamless integration of legacy equipment into a collaborative network within and between existing buildings and urban energy systems with reduced installation cost, data transfer, and computational power while increasing user comfort, energy flexibility, climate resilience, and data security. To achieve this goal, the COLLECTiEF solution requires the development of software and hardware packages to smart up buildings and their legacy equipment on a large scale while maintaining simple and robust communication with the energy grid. Here, we present the project concept, structure, objectives, and working packages. Furthermore, the main progress and achievements obtained during the first two years of the project are presented.

AB - COLLECTiEF (Collective Intelligence for Energy Flexibility) is an EU-funded H2020 project running from June 2021 to May 2025. COLLECTiEF aims to enhance, implement, test, and evaluate an interoperable and saleable energy management system based on collective intelligence that allows easy and seamless integration of legacy equipment into a collaborative network within and between existing buildings and urban energy systems with reduced installation cost, data transfer, and computational power while increasing user comfort, energy flexibility, climate resilience, and data security. To achieve this goal, the COLLECTiEF solution requires the development of software and hardware packages to smart up buildings and their legacy equipment on a large scale while maintaining simple and robust communication with the energy grid. Here, we present the project concept, structure, objectives, and working packages. Furthermore, the main progress and achievements obtained during the first two years of the project are presented.

KW - Climate resilience

KW - COLLECTiEF

KW - Collective intelligence

KW - Demand side management

KW - Energy flexibility

KW - Urban energy system

U2 - 10.1109/FES57669.2023.10182779

DO - 10.1109/FES57669.2023.10182779

M3 - Paper in conference proceeding

AN - SCOPUS:85166957116

T3 - 2023 International Conference on Future Energy Solutions, FES 2023

BT - 2023 International Conference on Future Energy Solutions, FES 2023

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 June 2023 through 14 June 2023

ER -

Aghaei M, Moazami A, Erba S, Hosseini M, Avendano IAC, Shahid MS et al. Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings. In 2023 International Conference on Future Energy Solutions, FES 2023. IEEE - Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Conference on Future Energy Solutions, FES 2023). doi: 10.1109/FES57669.2023.10182779

Collective Intelligence for Energy Flexibility - Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings

Abstract

Publication series

Conference

Bibliographical note

Subject classification (UKÄ)

Free keywords

UN SDGs

Access to Document

Fingerprint

Cite this