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CoEnerBuild

Buildings’ virtual power plant towards carbon-neutral electricity and grid resilience

The primary goal of the CoEnerBuild project is to address contemporary energy challenges by designing a Virtual Power Plant (VPP) that aggregates geographically distributed buildings to act as a singular, highly efficient energy entity. The project focuses on developing a robust mathematical model and control software to regulate the energy flow within this Building VPP (BVPP), optimizing the use of renewable energy sources and storage systems.

Joint Call 2023
Category Buildings' Virtual Power Plant towards Carbon-Neutral Electricity and Grid Resilience
Call Module 2: Energy system flexibility: renewables production, storage and system integration
Duration December 2024 - November 2027
Status Active
Coordinating institution Aristotle University of Thessaloniki
Project coordinator Christos Mademlis
Coordinating country Greece
Budget Tba
Participating countries Greece · Cyprus · Poland · Spain and Turkey

About the project

The primary goal of the CoEnerBuild project is to address contemporary energy challenges by designing a Virtual Power Plant (VPP) that aggregates geographically distributed buildings to act as a singular, highly efficient energy entity. The project focuses on developing a robust mathematical model and control software to regulate the energy flow within this Building VPP (BVPP), optimizing the use of renewable energy sources and storage systems. A central objective involves establishing a new methodology for correct equipment sizing by exploiting the benefits of building aggregation, which significantly reduces initial investment costs and nominal power requirements for conversion to nearly zero-energy buildings. Ultimately, the initiative seeks to enhance grid resilience, maximize consumer profit through market bidding, and contribute to the clean energy transition by promoting a flexible, decentralized power system that reduces carbon emissions.

The CoEnerBuild project addresses the limitation of conventional virtual power plants (VPPs), which often focus only on large-scale assets or fail to fully utilize the local energy production of modern buildings. Current building-level solutions frequently overlook geographically distributed aggregation or focus solely on community-scale microgrids. To go beyond the state of the art, the project develops a comprehensive mathematical and algorithmic framework that coordinates individual building energy management systems (EMS) through a central BVPP-EMS. Unlike traditional sizing methods based on individual energy history, this approach introduces a new methodology for optimal equipment sizing that exploits the benefits of building aggregation to reduce nominal power requirements and initial investment costs. By integrating occupant-centric control with real-time market bidding and ancillary grid services, the project transforms small prosumers into a collaborative, large-scale energy entity.

The CoEnerBuild project expects to deliver a comprehensive algorithmic model and software that integrates control rules for aggregated buildings, allowing them to function as a collaborative and highly efficient energy entity. Key results include a reduction in electricity costs and a decrease in initial investment costs for building equipment through an optimized sizing methodology that takes advantage of building aggregation. By advancing the technology from its initial stages to a demonstration level, the project aims to demonstrate significant grid resilience and stability. Economic impacts involve positioning building residents as key players in the energy trading market, tapping into a sector with significant projected market growth. Social and environmental benefits include accelerating the clean energy transition, promoting smarter cities, and empowering citizens as active participants in a decentralized, low-carbon power system that minimizes greenhouse gas emissions. Furthermore, the project aims to create high-quality job opportunities and drive sustainable economic growth.