GOFLEX: Extracting, Aggregating and Trading Flexibility based on FlexOffers for 500+ Prosumers in 3 European cities [Operational Systems Paper]

TY - GEN

T1 - GOFLEX

T2 - 13th ACM International Conference on Future Energy Systems, e-Energy 2022

AU - Neupane, Bijay

AU - Siksnys, Laurynas

AU - Pedersen, Torben Bach

AU - Hagensby, Rikke

AU - Aftab, Muhammad

AU - Eck, Bradley

AU - Fusco, Francesco

AU - Gormally, Robert

AU - Purcell, Mark

AU - Tirupathi, Seshu

AU - Cerne, Gregor

AU - Brus, Saso

AU - Papageorgiou, Ioannis

AU - Meindl, Gerhard

AU - Roduit, Pierre

N1 - Publisher Copyright: © 2022 ACM.

PY - 2022/6/28

Y1 - 2022/6/28

N2 - A demand response scheme that uses direct device control to actively exploit prosumer flexibility has been identified as a key remedy to meet the challenge of increased renewable energy sources integration. Although a number of direct control-based demand response solutions exist and have been successfully deployed and demonstrated in the real world, they are typically designed for, and are effective only at small scale and/or target specific types of loads, leading to relatively high cost-of-entry. This prohibits deploying scalable solutions. The H2020 GOFLEX project has addressed this issue and developed a scalable, general, and replicable so-called GOFLEX system, which offers a market-driven approach to solve congestion problems in distribution grids based on aggregated individual flexibilities from a wide range of prosumers, both small (incl. electric vehicles, heat-pumps, boilers, freezers, fridges) and large (incl. factories, water pumping stations, etc.). By encompassing individual prosumers, aggregators, distribution system operators, and energy multi-utilities and retailers. It is a system of systems, where all flexibilities in electricity demand, production, and storage are extracted, (dis)aggregated, optimized, and traded using the powerful and standardized FlexOffer format, yielding a general and replicable solution with low cost-of-entry. The system has been successfully deployed in Switzerland, Germany, and Cyprus where it has controlled loads of 500+ prosumers, with a total of 800MWh flexibility offered on the market, offering up to 64% of adaptability in peak demand. In this paper, we present the overall architecture of the GOFLEX system, its sub-systems, and the interaction between these sub-systems. We then discuss the configurations, observations, and key results of using the GOFLEX system both in the aforementioned 3 demo sites-within the GOFLEX project and after the project.

AB - A demand response scheme that uses direct device control to actively exploit prosumer flexibility has been identified as a key remedy to meet the challenge of increased renewable energy sources integration. Although a number of direct control-based demand response solutions exist and have been successfully deployed and demonstrated in the real world, they are typically designed for, and are effective only at small scale and/or target specific types of loads, leading to relatively high cost-of-entry. This prohibits deploying scalable solutions. The H2020 GOFLEX project has addressed this issue and developed a scalable, general, and replicable so-called GOFLEX system, which offers a market-driven approach to solve congestion problems in distribution grids based on aggregated individual flexibilities from a wide range of prosumers, both small (incl. electric vehicles, heat-pumps, boilers, freezers, fridges) and large (incl. factories, water pumping stations, etc.). By encompassing individual prosumers, aggregators, distribution system operators, and energy multi-utilities and retailers. It is a system of systems, where all flexibilities in electricity demand, production, and storage are extracted, (dis)aggregated, optimized, and traded using the powerful and standardized FlexOffer format, yielding a general and replicable solution with low cost-of-entry. The system has been successfully deployed in Switzerland, Germany, and Cyprus where it has controlled loads of 500+ prosumers, with a total of 800MWh flexibility offered on the market, offering up to 64% of adaptability in peak demand. In this paper, we present the overall architecture of the GOFLEX system, its sub-systems, and the interaction between these sub-systems. We then discuss the configurations, observations, and key results of using the GOFLEX system both in the aforementioned 3 demo sites-within the GOFLEX project and after the project.

UR - http://www.scopus.com/inward/record.url?scp=85133921658&partnerID=8YFLogxK

U2 - 10.1145/3538637.3538865

DO - 10.1145/3538637.3538865

M3 - Article in proceedings

AN - SCOPUS:85133921658

T3 - e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems

SP - 361

EP - 373

BT - e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems

PB - Association for Computing Machinery, Inc.

Y2 - 28 June 2022 through 1 July 2022

ER -