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SIA “Baltic Seaberry” and SIA “ZTF Lāsma” are implementing a research project under Investment 2.2.1.3.i. “Support for the Introduction of New Products and Services in Business” of Reform and Investment Area 2.2 “Digital Transformation and Innovation of Enterprises” of Latvia’s Recovery and Resilience Plan.
Research project title: No. DP-15 “Development of an Automated Electricity Procurement Management System and Prototype Testing in a Real-World Industrial Environment”
Project No. 2.2.1.3.i.0/1/24/A/CFLA/002
Research project objective: To develop an automated electricity procurement management system that coordinates the dynamic electricity consumption profile of the production facility's cold storage units with the capacity of solar panels and battery energy storage systems to supply the facility with self-generated renewable electricity. The aim is to reduce the volume and cost of purchased electricity, particularly during periods of high electricity prices, thereby lowering production costs and mitigating the risk of price fluctuations.
Expected outcome: Development of an automated electricity supply management model that selects between three alternative electricity sources (solar panels, battery energy storage, and external grid supply) to achieve the most cost-effective electricity supply over the medium term, while maintaining the required temperature conditions in the company's storage facilities without compromising product quality requirements.
Project implementation period: 01.06.2025–30.09.2026.
Total eligible project costs: EUR 392,762.66. Funding amount: EUR 294,124.52.
During the period from 01.03.2026 to 31.05.2026, Activity 4.1, “Integration of Cold Storage Control with the Main Control Algorithm and Centralised Management via the Central Server Environment”, was implemented. This activity involved retrieving control parameters and operational status data from the cold storage units and integrating them into the main control algorithm and the centralised management system. The setpoint temperatures, operating status, and current temperature readings of the control units were also retrieved and linked to the main system algorithm and central server.
During the period from 01.06.2026 to 31.08.2026, Activity 4.2, “Integration of Cold Storage Control with the Main Control Algorithm and Centralised Management via the Central Server Environment”, was implemented. As part of this activity, adjustments to operating temperature setpoints based on the electricity source and electricity market price category were tested in a laboratory environment. The compatibility of the developed algorithm with the cold storage environment was verified, along with its ability to assume control of the refrigeration system, influence its operation, and optimise temperature regulation based on the available electricity source and electricity market prices.
During the same period, Activity 5.1, “Preparation and Initial Testing of the Automated System Prototype in a Real-World Operating Environment”, was also implemented. As part of this activity, the main control unit was installed in a real-world operating environment and integrated with the other system components. The control components and other system elements were interconnected under actual operating conditions. Physical communication circuits were established and configured, and the entire system was prepared for operational testing to the extent permitted by the research completed under Activities 4.1 and 4.2. Further testing and development could proceed following the completion of these activities. A local control solution was installed to support testing of the automated system prototype, and the necessary physical communication channels were established and configured to enable subsequent full-scale prototype testing under real-world operating conditions.
