Welcome to Panama Project
Project Summary
Like many other industries, failures in the operation of a solar power plant result in unexpected breakdowns and loss of production and income.
Because of unexpected breakdowns, 55% of the maintenance works are based on reactive maintenance. Regular and scheduled works, the so called “preventive maintenance”, correspond to 31% and predictive maintenance has currently got a fraction of 12%.
All these maintenance schemes are based on three data analytics techniques which are descriptive (what happened), diagnostic (why it happened) and predictive (what will happen).
However, all these only assist on a limited basis. It is in the interest of asset owners and managers to take this further to a solution-oriented maintenance approach which gives the answer to the question:
What action should be taken?
Prescriptive analytics provides recommended actions based on prior outcomes, where a recommended course of action to achieve a specific outcome.
The prescriptive maintenance tool shall predict faults using machine learning and AI.
It shall also detect the faults, locate them, and provide necessary recommendations to the technical teams on site helping them to solve the problem in the most proper way and short-time. If necessary, it shall also assign the works in an automated way.
This workforce management tool will guide the technical teams at site to solve the problem with advance visualization capabilities as well as online guidance from all the teams even at different locations. SOLAR-ERA.NET is supported by the European Commission within the EU Framework Program for Research and Innovation HORIZON 2020 (SOLAR-ERA.NET Cofund 2 N° 073).
Hence, “prescriptive maintenance” comes into play where it helps adding the ability to give advice to the technician on what to do and how to repair by taking advantage of Artificial Intelligence (AI) and Machine Learning.
Project PANAMA which is the acronym of Prescriptive Analytics and Advanced Work Force Management for Optimized O&M of Solar Power Plants is supported under the umbrella of SOLAR-ERA.NET Cofund by TUBITAK, FFG, GSRT.
In this project, an O&M suite which utilizes prescriptive analytics, advanced performance monitoring and mobile workforce management tools for solar power plants shall be developed, validated and demonstrated in an operating environment.
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