Peak Power
Beneficiary of the grant: Green Energy Pal d.o.o.
Project name: Peak Power
Project code: NPOO.C3.2.R3-I1.06.0021
Project description:
Energy efficiency and the green transition are key objectives of the EU. Inefficient consumption of electricity. energy and high OPEX especially affect SMEs with connection power greater than 22 kW, which pay not only for the consumed electricity. energy, but also for strength. The lack of precise management of peak loads increases costs due to precisely the high fees for engaged peak power. GEP proposes the development of an AI system for cutting peak power, which enables dynamic management of consumption and optimization of device operation schedules in real time. Such management reduces peak loads, which allows users to achieve significant financial savings and increase energy efficiency, while simultaneously supporting the goals of sustainability and green transition.
Project objectives:
The goal of the project is to prove the concept up to the TRL-4 level (testing in a laboratory environment), and success will set the basis for further development and launch of PEAK POWER products on the domestic and regional market.
The activities and expected results of the project are:
A1. DEVELOPMENT OF SOLUTIONS UP TO TRL-4
A2. FRAMEWORK DEVELOPMENT AND TECHNICAL FEASIBILITY TESTING
A3. INNOVATION CYCLE MANAGEMENT
A4. CREATION OF DOCUMENTS FOR INNOVATION COMMERCIALIZATION
A5. ADMINISTRATIVE PROJECT MANAGEMENT
A6. INDIRECT COST FOR PERSONS FOR WHOM PERSONNEL COSTS ARE NOT CLAIMED
THE FEASIBILITY OF THE CONCEPT WILL BE PROVEN IF THE TESTING SHOWS THE RESULTS:
– R1: Successful and accurate operation of individual algorithms according to standard metrics for testing AI algorithms
The algorithms must be able to predict peak and low power and total electricity consumption in laboratory conditions, where their prediction accuracy will be tested against real energy consumption data.
DELIVERABLE: Software; Report.
– R2: Successful and accurate operation of the peak load reduction framework with different AI algorithm configurations
The framework must demonstrate its effectiveness in reducing energy costs through successful peak load reduction. Testing may include simulating, for example, a bakery with chillers and ovens. Peak loads will be simulated when all units are operating simultaneously, and the algorithms will optimize the operation of the chillers during periods of lower consumption, while the ovens will operate without interruption.
DELIVERABLE: Software; Report.
Total project value: 77.157,36 EUR
EU project co-financing: 43.062,63 EUR
Project implementation period: 30.6.2025. -30.6.2026.
Contact person for more information: Ivan Sudić
Phone: +385981937734
Email: ivan.sudic@gep.energy
For more information about the EU Call from which the project is financed, please visit the page: https://fondovieu.gov.hr/pozivi/115
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The expressions used in the text for persons in the masculine gender are neutral and refer to both male and female persons.
Funded by the European Union – NextGenerationEU. The views and opinions expressed are solely those of the author and do not necessarily reflect the official views of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.