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Solar Power Plants often perform at levels lesser than what they have been designed for. This may happen because of factors outside anyone's control such as Radiation being lower than expected. But, more often, this underformance can be diagnosed with deeper analysis of the data and running sophisticated data science models to uncover the exact reasons which range from equipment downtime to systemic losses to modules being dirty. Prescinto is able to zero down on the equipment and nature of loss and recommends action to eliminate the loss and hence increase generation from the plant.
Owners share a part of the upside in generation with the Operator as an incentive and ensuring interests are alligned."
Key Assumptions:
Technical Manpower forms a large part of cost of operating solar assets. The Solar plants are manned by Engineers and Technicians who perform Corrective and Preventive Maintenance on different equipment of the plant. Prescinto allows for better planning and tracking of tasks to be performed by Technical team on site. Prescinto also allows for measurement and benchmarking of productivity across portfolio of projects, thus improving site operations efficiency and increasing MW managed per person.
Key Assumptions:
Most of the equipment installed in a solar power plant is warranted for 1 - 5 years (except solar panels which are warranted for 25 years). Once outside the warranty, the parts required to rectify these equipment need to be bought from the OEMs. However, in order to ensure a good uptime, some parts are stocked at the site itself. The quantity and type of these parts that are stocked on site happens on the basis of conservative OEM recommendations and ballpark estimates. With Prescinto, it is possible to analyse the data of past consumption to get to a spare part list which is customized to the specific plant, its design and its equipment. This not only allows for stocking of the right parts but also reduces the wastages of overstocking or wrong stocking.
Owners share a part of the upside in generation with the Operator as an incentive and ensuring interests are alligned."Further, with better prediction of faults and maintaining a health index of the different equipment installed, it is possible to avoid stocking altogether."
Key Assumptions:
Every equipment in a solar plant requires servicing. The schedule for such servicing is mostly created centrally by a group of managers and then passed down to the site with middle managers ensuring execution at a regional level. Further, on a day to day basis, reporting is expected to be done from the Operator to the Owner of the tasks and key KPIs accomplished. By planning centrally for each site with easy to use templates, capturing all task completion centrally in real time using Prescinto's mobile apps and having inbuilt reporting templates and module, Prescinto allows for 1 person to manage all of this centrally instead of 10 people to plan, track and report this across different levels.
Key Assumptions:
Operators are expected to give key KPI guarantees to Owners of Solar plants. This ranges from Plant Availability, Radiation linked Generation guarantee and other SLAs. There are Liquidated Damages linked to these KPIs that an Operator has to pay if he misses targets. These limits are breached in 1 out of 3 contracts. The limitation of such liability is set at 10% - 100% of contract value. However, even at 10%, if these damages can be avoided, it would add significantly to the bottom line of the Operator.
Key Assumptions:
When an Operator guarantees certain KPIs to the Owner, it is done so by a combination of art and science. Art lies in negotiation while Prescinto can help significantly in science. Prescinto is able to analyse historical data to confirm the performance of the plant and make the discussion around KPIs data driven rather than hunch driven. This ultimately leads to a smaller contingency which is a saving to the Operator.
Owners share a part of the upside in generation with the Operator as an incentive and ensuring interests are alligned."
Key Assumptions:
