Investors

Financial stakeholders, market analysts, and energy traders involved in PV market investments and electricity price forecasting.

Your Challenges

  • Unsatisfactory business models when including batteries.

  • Benefits & PV production below expectations.

How PVOP can help you?

  • AI-based smart control system of PV plants with batteries.

The 8 technical solutions

Regarding the sensorisation of the PV Systems:

Solution 1: Sensorisation toolkit to measure the operating variables with enough low uncertainty to detect unwanted degradation, operating conditions, and failures.

Regarding the control of PV systems (to increase the performance):

Solution 2: Smart tracking control for large monofacial and bifacial single-axis tracking PV plants over terrain of arbitrary orientation and slope for the performance optimisation, taking into account diffuse irradiance conditions and extreme meteorological events.

Regarding performance evaluation, automatic failure detection and diagnosis of their causes:

Solution 3: Near 100% automatic AI-based system based on a family of algorithm for faults detection and diagnosis and optimisation of resources in PV plants. It will integrate fusion of different sensor-image-data sources.

Solution 4: Near 100% autonomous aerial inspection and fault detection system based on the integration of AI and high temporal and spatial resolution multispectral aerial imaging solutions, fully integrated and automatic from the aerial inspection to the diagnosis and reporting. These two near 100% automatic solutions will allow improving the energy yield, performance monitoring, forecasting potential failures and reducing human effort.

Regarding PV asset management:

Solution 5: Near 100% automatic and predictive PV asset management software to maximise performance and optimisation of asset O&M management based on multi-level KPIs and integrating data from sensors, images and reports from O&M teams. It will be based on trustworthy AI solutions to reduce manager effort.

Regarding the control of PV systems (to increase the grid integration and maximise the energy trading):

Solution 6: Free-access tool for the energy yield forecasting with digital twins adjusted with sensor data.

Solution 7: AI-based Electricity Market Prediction Tool. It will consider different timescales and services to the grid operator.

Solution 8: AI-based smart control system of PV plants with batteries with weather and electricity market forecasts to maximise the energy trading.

Our latest news

Sorry, no articles found.