Objectives

This O&M tool shall utilize machine learning and artificial intelligence tools on the measured data from various sensors (electrical, environmental etc.) and digital models (digital twins) of the power plants with fault detection and degradation algorithms.

The prescriptive maintenance tool shall be fully integrated to the work force management tool and will be continuously fed by the data from maintenance process for improving the system’s intelligence and performance. Performance monitoring of the power plant shall also be performed through the web interface and mobile application of the proposed overall maintenance tool. This O&M tool will have a significant contribution to the forth R&I activities declared on SET plan.

Development of an Advance
Work Force Management Tool

This shall be developed for optimising the operations and maintenance works of the O&M companies in solar industry.

It will be optimised for mobile devices, and let the users have more audio-visual assistance during repair works as well as connecting them on an on-line platform where other team members at different locations will also be able to assist to any technician over it.

Expertise of the project partners on fault detection and maintenance works will also be used to provide more data to the analytics tool for accurate suggestions on action plans.

Demonstration of the Developed
System in an Oper. Environment

Effectiveness of the proposed solution shall be validated in an operating environment: a pilot solar power plant of 6.6 MWp in Turkey.

This demonstration will be one of the expected deliveries of the four R&I activities.

Reducing the Operational Costs

The proposed solution will provide a set of services to solar power plant O&M companies, which help them to run the operations at their technical and financial optimum by giving the necessary information and guidance on time.

Locating the faults or the malfunctioning equipment with a list of suggestions would reduce the operational costs of the O&M companies. Besides, fully automated process through the proposed system would void the necessity of highly skilled technical personnel as well as minimizing the improper repair works at site.

KPI assessment equals reduction in the operational and maintenance costs of the O&M companies with a target of min. 30 %. This assessment points out one of the targets of SET plan that aims to reach productivity and cost targets consistent with the capital cost targets for PV systems.