The R&D project DiPS4EV@work aims at reducing the effort for an efficient integration of smart EV charing in company and building energy management systems (EMS). Charging the EVs during working hours shall effectively use volatile renewable energy sources, i.e., wind and sun, while achieving satisfactory charging for the EV owners, which can be employees and visitors/customers likewise. Simulation studies are used to evaluate scalability, future scenarios with high EV penetration, and related economics in terms of viable business cases.
DiPS4EV intends to break down innovation barriers by examining, specifying, and presenting interfaces and methods/protocols that support the seamless system-of-systems digitalisation. No new hardware or any one-size-fits-all solution is intended, rather, the technical details required for a smart integration are to be developed. This is done based on defined use cases that result from the interaction of different customer systems, taking into account the wishes of the operator and bundling the experiences of relevant user groups.
The core result of the project are the integration profiles developed in the course of the systems integration attempts, which shall cover all the solutions developed to solve interoperability problems arising at different demo locations. According to the Integrating the Energy System (IES) Cookbook, these profiles are published open access and comprehensively cover all interoperability levels (legal, semantic, syntactic, technical and operational) across the Smart Grid Architecture Model (SGAM) layers (business processes, functions, information, communication, and components) as far as required to achieve interoperability.
Ultimately, the openly provided IES integration profiles shall provide blueprints (templates) on how to implement an out-of-the-box smart coordination between independent building/enterprise EMS and local smart EV-charging. According to the IES principles, these profiles shall be maintained in a continuous improvement process in order to adapt to the current state-of-the-art as good as possible.
|Duration||01/04/2023 - 31/03/2026|
|Principle investigator for the project (University for Continuing Education Krems)||Dipl.-Ing. Dr. Gerald Franzl|