#EEG++ Digital Energy Communities Optimized
Short Description
Background/Motivation
The novelty of the project lies in addressing the complexity of modern real estate projects, particularly in the planning and construction phases, with the aim of developing economically viable and user-centric models for neighborhoods with plus-energy characteristics, covering all energy needs of buildings - heating, cooling, electricity, and electric mobility. This is achieved through the integration of the concepts of energy communities and IoT-based self-consumption optimization.
Contents and Objectives
The project aims to:
- Implement an innovative energy system concept that goes beyond legal requirements to produce renewable energy (PED - Plus-Energy District).
- Utilize the energy community market model in combination with IoT solutions for self-consumption optimization to ensure the economic operation of the plus-energy neighborhood in various market conditions.
- Involve user-centric stakeholder groups to promote the implementation of complex models for local energy transition and increase their acceptance.
Methodical Approach
The project differentiates itself from previous initiatives by considering both technical and organizational aspects, such as legal frameworks, and by implementing strategies for self-consumption optimization that enable energy sharing within the community. This approach aims to maximize the use of locally generated renewable energy.
Key innovative elements include:
- Expanding photovoltaic installations beyond legal requirements on rooftops.
- Installing API-enabled inverters to provide real-time data on PV production.
- Incorporating a neighborhood battery for load balancing.
- Using IoT-equipped Dynastrat hot water storage units for PV energy utilization.
- Installing electric vehicle (EV) charging stations integrated into self-consumption optimization.
Expected Results
The project aims to increase the self-consumption rate of locally generated energy, reduce reliance on external grids, and optimize energy usage patterns within the community. This involves the implementation of various IoT components such as smart meter readers, API connections to PV inverters, and intelligent control of heating and hot water systems.
The goal is to operate the energy system in an economically and legally efficient manner, taking advantage of market dynamics while providing investment security for stakeholders. The IoT-based system allows for dynamic adjustments based on user-defined rulesets, enabling residents to choose between cost-optimized and environmentally friendly energy consumption modes.
In summary, this project innovatively combines renewable energy generation, energy community models, and IoT-based self-consumption optimization to create a sustainable and user-centric plus-energy neighborhood. It addresses technical, legal, and economic aspects to promote local energy transition and maximize the efficient use of renewable resources.
Project Partners
Project management
Dr. Stefano Coss - Arteria Technologies GmbH
Project or cooperation partners
- Ed-energiedigital GmbH
- Pink GmbH
- CEAS GmbH
- realityLabs GmbH
- Waldheimat Consulting und Projektentwicklung GmbH
Contact Address
Dr. Stefano Coss
Schubertstrasse 6a
A-8010 Graz
Tel.: +43 (699) 1050 9386
E-mail: Stefano.coss@arteria.at
Web: www.arteria-tech.com