Application of stand-alone Di-Hydro DT and integration in hydropower digital cluster.
Calibration of Di-Hydro Decision Making Platform for hydropower plants and cluster.

Application of stand-alone Di-Hydro DT and integration in hydropower digital cluster. Calibration of Di-Hydro Decision Making Platform for hydropower plants and cluster.

Location:

Greece - use case

 

Pournari Artas
Epirus, Greece

 

Ilarionas Kozanis
Western Macedonia, Greece

 

Thisauros Dramas
Central Macedonia, Greece

Pournari Artas
Epirus, Greece

Ilarionas Kozanis
Western Macedonia, Greece

Thisauros Dramas
Central Macedonia, Greece

Partner:

PPC, or Public Power Corporation S.A., is Greece’s leading electricity company, holding a crucial position in the nation’s energy sector. PPC manages a diverse portfolio of hydroelectric power plants that serve essential roles in water reserve management, encompassing activities from flood control and irrigation to energy generation and environmental preservation.

Challenges:

PPC’s hydropower plants manage a significant portion of Greece’s water reserves and serve various purposes such as flood control, irrigation, water supply, and recreation. The PPC faces the challenge of optimising operations in the face of changing weather conditions, flood control needs, irrigation demands and energy requirements. To address this complexity, the Di-Hydro Digital Twin introduces innovative tools, methodologies, and sensors coupled with digital solutions. The use of DTs, an emerging technology in hydropower, allows engineers to collect real-time data through sensors, continuously access an up-to-date replica of the plant, and experiment with solutions and scenarios at no cost. This digital approach aims to facilitate optimal operation by accommodating the diverse needs of the system while ensuring cost-efficient operations and mitigating environmental effects on biodiversity.

Objectives:

Introduce innovative digital tools and methodologies to enhance operations & maintenance and address the different needs and challenges.

Enable engineers to collect real-time data through sensors, facilitating informed decision-making.

Continuously access an up-to-date replica of the plant for better monitoring and management.

Allow engineers to experiment with various solutions and scenarios at minimal cost, improving operational efficiency and adaptability.