‘Better granularity’: Solargis on the launch of its Evaluate 2.0 programme

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The Evaluate 2.0 programme in action.
Evaluate 2.0 is the second generation of Solargis’ 3D PV power plant designer. Image: Solargis.

Slovakian software provider Solargis has launched Evaluate 2.0, the second generation of its 3D PV power plant designer, which combines high-resolution solar and meteorological data.

The cloud-based platform combines data from a number of sources to assist in the design of PV plants. These include meteorological data, based on a database of 30 years; ray tracing technology and the company’s own ground albedo data to better assess the effectiveness of bifacial modules in particular; and a ‘PV Component Catalog’ to provide an up-to-date profile of the latest components and technologies used in the sector.

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The company argues that these features compare favourably to existing plant performance models in the industry, noting that the meteorological data contains “120 times the granularity” of current industry standard practices. Solargis products have been used to support the development and installation of over 10,000 projects, and Solargis CEO Marcel Suri exclusively told PV Tech this afternoon that this breadth and depth of data reflects a demand for a greater quantity and quality of data in the solar sector.

“You have geographical conditions, weather, technical design and then you have your business plan,” said Suri. “All those things need to talk, or be somehow considered when developing and designing projects. What we need to understand here is that because of the various technical nuances, you need to understand what is physically happening at a much higher level, [with] better granularity; hourly data does not give you information that is needed for agile operation of the power plant.”

Suri noted that Solargis’ use of collecting weather data in 15-minute increments is an improvement on the industry standard of one-hour increments, but that in future, even this may not be enough. He said that Solargis is aiming to deliver one-minute data increments in the future, to meet the solar industry’s continued need for more precise data.

This is not the first software programme to be launched in the solar sector in recent years; in October 2023, PVcase launched a programme to aid in the design of rooftop solar projects in particular, and in September 2024, researchers from Swansea University told PV Tech Premium that their agrivoltaics (agriPV) platform is part of the solar sector’s broader embrace of data and modelling in plant design and performance.

“Data collection and analysis is more important now than ever,” Swansea University PhD candidate Austin Kay told PV Tech Premium last year, highlighting the growing demand for data services – collection, assessment and utilisation – in the solar industry.

New data, new challenges

However, Suri told PV Tech that, even for a company with as long a history in data collection and management as Solargis, effectively managing the depths and details of data to be used in this way presents a challenge.

“I must say that with every single good idea, which comes very naturally – you don’t have to be a Nobel Prize winner to understand what is needed – there are so many details, which complicate your life,” said Suri. [Data] needs to be consistent geographically; you want to deliver the same quality data for, let’s say, Australia as well as the UK. You need to have time consistency; if I deliver data today, and data one year from now, it has to be consistent.

These challenges also range from the technical – such as finding ways to store vast quantities of information – to the logistical – such as collaborating with multiple partners, including engineering, procurement and construction (EPC) firms and project developers – all of which presents a breadth of questions for the solar sector to ask.

Yet Suri stressed that Solargis would look to tackle as many of these obstacles as possible. He concluded by saying that there is: “still a lot of work to do, to keep the pace”, to meet these challenges in data collection and deployment, but that: “we want to contribute here, and bring something that might bring the new value, that’s our ambition.”

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