Solargis

Solargis

Services for Renewable Energy

Helping businesses make smarter solar decisions

About us

Solargis offers weather data, software, and consultancy services for accurate and efficient solar energy assessment. Our solutions help the solar industry reduce project risk and optimise performance of solar power plants. Solargis solutions help meet solar energy assessment needs for the entire lifecycle of solar projects from planning and development to operation. Founded in 2010, Solargis has emerged as the most trusted provider of solar energy assessment services globally. The Solargis database has been independently identified as the most reliable solar radiation data source on multiple occasions. Today, the Solargis platform is used by hundreds of organisations globally to access historic, recent, and forecast data of solar radiation and PV energy potential. We work closely with project developers, manufacturers, system integrators, financiers, solar power plant operators, energy utilities and other technical service providers. We also help governmental and public organisations to better formulate solar energy strategies.

Industry
Services for Renewable Energy
Company size
51-200 employees
Headquarters
Bratislava
Type
Privately Held
Founded
2010
Specialties
Solar resource assessment, PV energy yield simulation, Real-time solar data services for PV performance monitoring, Country solar potential study, Rooftop PV potential study, GIS data and digital maps of solar resource, and Solar energy forecasting

Locations

Employees at Solargis

Updates

  • View organization page for Solargis, graphic

    12,323 followers

    (1) Even the typhoon cannot stop us, only postpone (2) Rise of vertical integration (3) Advancing solar data practices Those are 3 key takeaways from Energy Taiwan Expo 2020 by our colleague Tsaiwei (Weiwei) Lee. Learn more in the post below 👇 #solarenergy #solarpower #solardata #renewables #taiwan #singapore

    View profile for Tsaiwei (Weiwei) Lee, graphic

    Management Consulting|Solar Energy|Solar and Meteo Data

    𝑲𝒆𝒚 𝒕𝒂𝒌𝒆𝒂𝒘𝒂𝒚𝒔 𝒇𝒓𝒐𝒎 𝑬𝒏𝒆𝒓𝒈𝒚 𝑻𝒂𝒊𝒘𝒂𝒏 𝑬𝒙𝒑𝒐 𝟐𝟎𝟐𝟒 After visiting 15 companies and participating in the full event within a week, I'm really excited to share my observations in Taiwan! Happy to get on a coffee for more info ☕ (𝟭) 𝗘𝘃𝗲𝗻 𝘁𝗵𝗲 𝘁𝘆𝗽𝗵𝗼𝗼𝗻 𝗰𝗮𝗻𝗻𝗼𝘁 𝘀𝘁𝗼𝗽 𝘂𝘀, only postponing The expo was postponed to Fri-Sun due to the typhoon day off. Rescheduling meetings and visits can be challenging, but the organization was executed professionally. I truly appreciate the effort and dedication of the entire team—thank you for a great experience! (𝟮) 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Many key players in the market are increasingly opting for vertical integration. Independent Power Producers (IPP) are expanding their Engineering, Procurement, and Construction (EPC) capabilities, while EPC firms are actively seeking investors to develop projects independently. As more solar PV projects emerge, we can anticipate further integration, especially in asset management. Notably, Operations and Maintenance (O&M) remains one of the most outsourced functions in the industry. (𝟯) 𝗔𝗱𝘃𝗮𝗻𝗰𝗶𝗻𝗴 𝗦𝗼𝗹𝗮𝗿 𝗗𝗮𝘁𝗮 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 Using historical satellite-based solar data is not common yet in Taiwan. The market has been using various ways to estimate long-term irradiance based on the energy output of existing plants or ground measurements from a distanced location. I look forward to sharing more information about the potential benefits of incorporating satellite data into solar energy assessments. This approach could provide more accurate irradiance estimates and enhance the reliability of solar PV projects and support better decision-making in the industry. I hope to hear more from you and connect with others interested in innovative solutions for solar energy in Taiwan 💪🏻 #solarenergy #solarpower #solardata #solargis #renewables #renewableenergy #taiwan #singapore #cleanenergy #netzero

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  • View organization page for Solargis, graphic

    12,323 followers

    GHI difference maps for September 2024 & some interesting findings👇 ▶ Serious positive anomaly documented in East Sichuan and Chongqing provinces (China), up to +70%. This is due to less cloudy days than usual and lower documented AOD. Similar patterns are documented in ERA5. ▶ Other positive anomalies around: – West/Central Russia: +40%) – Great Lakes, dominating around Lake Superior: up to +30% ▶ And a negative anomaly near Florida: up to -20% ▶ PREC data includes rains in Central Europe which caused floodings --- Monitor your PV plant performance with Solargis monthly maps & reports. Check free report samples here: https://lnkd.in/e-2RybTY Care to receive these maps monthly in your inbox? Sign up here: https://lnkd.in/eZPzevKd #Maps #SolarEnergy #Temperature #Data #Solar #GHI

    • Africa GHI Difference September 2024
    • Australia GHI Difference September 2024
    • East Asia GHI Difference September 2024
    • Europe GHI Difference September 2024
    • Indian Subcontinent GHI Difference September 2024
      +5
  • View organization page for Solargis, graphic

    12,323 followers

    we provide satellite-based PV output data for the short term (past six months to the previous day). Each month, we re-analyze GHI values to assess the impact of aerosols. This re-analysis is particularly valuable for monthly performance reporting, especially during large-scale natural disasters. 👇

    View profile for Shihying Lin, graphic

    UKI Solar Energy Consultant | Optimizing Solar Energy Yield Assessment & Performance Reporting

    ☀️🌍𝗪𝗵𝗮𝘁 𝗶𝘀 𝗔𝗢𝗗? 𝗛𝗼𝘄 𝗗𝗼𝗲𝘀 𝗜𝘁 𝗔𝗳𝗳𝗲𝗰𝘁 𝗦𝗼𝗹𝗮𝗿 𝗔𝘀𝘀𝗲𝘁 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲? Aerosol Optical Depth (AOD) measures how much sunlight is blocked by tiny particles in the air. High AOD indicates a greater concentration of these particles, which reduces the direct sunlight reaching solar panels and ultimately leads to lower energy production. Common causes of high aerosol concentrations include dust storms, wildfires, volcanic eruptions, industrial emissions, agricultural activities, and humidity. The impact of AOD on solar asset performance can be significant. For instance, we recently observed the effects of a forest fire in Portugal, where ash from the fires in Portugal and Northwest Spain caused a temporary GHI reduction of up to 30% on September 19-20. 📊✨At Solargis, we provide satellite-based PV output data for the short term (past six months to the previous day). Each month, we re-analyze GHI values to assess the impact of aerosols. This re-analysis is particularly valuable for monthly performance reporting, especially during large-scale natural disasters.

    • AOD_Portugal_GHI
  • View organization page for Solargis, graphic

    12,323 followers

    At the same time, it is important that you and we don't waste time in inefficient communication. With this in mind, I'd like to share an excellent guide prepared by our customer support team and technical teams on what are the most common reasons for discrepancies, what you could check before contacting us, and how to share information with us for speedy resolution of the issues faced. 👇

    View profile for Harsh Goenka, graphic

    Helping solve energy assessment challenges faced by the solar industry

    As a salesperson, I ❤️ getting customer complaints! Here's why: 1. Every complaint is an opportunity to understand customer frustrations and fine-tune our services 2. It's also an opportunity to help the customer understand the complexities of our service and showcase our commitment towards the customer's success At Solargis, although we provide data with unmatched accuracy, we receive complaints almost daily about inconsistencies between our data and customer's measurements. Such feedback is more than welcome. If you have such feedback to share, go ahead and bombard us with such feedback. At the same time, it is important that you and we don't waste time in inefficient communication. With this in mind, I'd like to share an excellent guide prepared by our customer support team and technical teams on what are the most common reasons for discrepancies, what you could check before contacting us, and how to share information with us for speedy resolution of the issues faced. We look forward to receiving your complaints (feedback!) 😊

  • View organization page for Solargis, graphic

    12,323 followers

    Outcomes of satellite-model data rely on the frequency and resolution of satellite data acquisition instruments. Certain cloud situations, mainly smaller size, high variability clouds, or a combination of snow/ice and cloud scenes are difficult to detect at full accuracy. Data coming from the models can be validated only with the best-quality pyranometer measurements. However, measurements by ground sensors are affected by environmental conditions (dust, humidity, dew, snow) and technical errors caused, for example, by misalignment and miscalibration of instruments or data logger issues. Therefore, before the measurements can be considered a trustable “ground reference” the values have to be quality controlled and errors filtered out. The solar data quality assessment from Solargis consists of the following steps: #dataquality #solar #satellitedata #renewableenergy

  • View organization page for Solargis, graphic

    12,323 followers

    To validate the accuracy of the Solargis satellite model data, we compare it with high-quality ground-measured data from stations around the world. The ground-measured data undergo a quality assessment before the comparison. This ensures their high quality and uncertainty within the measurement uncertainty of the instruments. The table below shows the summary of the accuracy statistics of Solargis solar radiation data compared to high-quality ground measurements at more than 300 sites across all types of climates. You can learn more and see statistics for each validation site at: https://lnkd.in/ei3Fuedn #solardata #solar #datavalidation #GHI #DNI

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  • View organization page for Solargis, graphic

    12,323 followers

    🤔 Why is detail important: How to filter erroneous PV measurements to retain enough data for analysis That's the title of our presentation at EU PVSEC in the frame of SERENDI-PV last week. Callum Connolly, our Technical Consultant, dove deep into the topic of optimizing data. He talked about how analysis of PV production data in sub-5-minute resolution can give an insurmountable wealth of information that can be used in all aspects of PV monitoring and forecasting. Examples of features and failures found in Serendi demo data are exemplified which helped in the development of automatic detection tools and refining the quality control process. #EUPVSEC #Photovoltaics #SolarEnergy #Innovation #Collaboration #SolarData

    • Callum Connolly, Technical Consultant at Solargis, presenting at EUPVSEC2024.
  • View organization page for Solargis, graphic

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    We've gathered publicly available measurements from Met Éireann that are ideal for validation. In the challenging coastal areas known for their complexity in solar resource assessment, our Solargis model shows a remarkable -0.2% GHI bias at Valentia, Ireland. 👇 #SolarEnergy #RenewableEnergy #Ireland #DataValidation #MetEireann #Solargis #Innovation #SolarAssessment

    View profile for Shihying Lin, graphic

    UKI Solar Energy Consultant | Optimizing Solar Energy Yield Assessment & Performance Reporting

    🌞 Exciting Update on Solargis Validation Sites in Ireland! 🇮🇪 For a while now, clients have noticed that Solargis GHI values are 7-8% lower than other data sources for various locations in Ireland, leading some to label Solargis as ‘conservative.’ Many have opted to blend multiple data sources to find a middle ground. But what if the other sources are simply too optimistic? 🤔 Today, we have some answers! 🍀 We've gathered publicly available measurements from Met Éireann that are ideal for validation. In the challenging coastal areas known for their complexity in solar resource assessment, our Solargis model shows a remarkable -0.2% GHI bias at Valentia, Ireland. We're thrilled to announce the release of our first batch of validation results from three sites in Ireland, with more exciting updates coming in the months ahead! Stay tuned! 🌍✨ #SolarEnergy #RenewableEnergy #Ireland #DataValidation #MetEireann #Solargis #Innovation #SolarAssessment

    • Solargis_validation_Ireland
  • View organization page for Solargis, graphic

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    How did forest fires affect solar resource in Portugal and northwest of Spain? The animation shows the impact of ashes from these forest fires with clear-sky global horizontal irradiance (GHIc) dropping by 30% between September 19th and 20th, 2024. See also attached screenshots from Solargis Livemaps in the comments. #solardata #solar #forestfires #GHI #climate

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