About PVRADAR

PVRADAR is a software platform that utilizes satellite data to quantify performance losses from soiling and snow in utility-scale photovoltaic projects, enabling accurate monthly loss predictions for any location. The platform also optimizes cleaning strategies by comparing various technologies and services, helping project developers enhance economic outcomes and mitigate risks from the outset of development.

<problem> Utility-scale photovoltaic (PV) projects face performance losses due to soiling from dust and other environmental factors, as well as snow accumulation, leading to inaccurate energy yield predictions and suboptimal operational strategies. Traditional methods for assessing these losses often require costly on-site measurements and may not provide comprehensive, long-term insights. This can result in underperforming assets and reduced profitability for project developers and operators. </problem> <solution> PVRADAR is a software platform that leverages satellite data and meteorological information to quantify performance losses in utility-scale PV plants caused by soiling and snow. The platform provides accurate, location-specific monthly loss predictions, enabling project developers to improve energy yield estimations and mitigate risks from the initial stages of development. PVRADAR also facilitates the optimization of cleaning strategies by comparing various cleaning technologies and services, allowing users to minimize cleaning costs and maximize energy production. Additionally, the platform offers tools to evaluate the potential benefits of albedo-enhancing materials for bifacial PV systems, providing a comprehensive approach to performance optimization. </solution> <features> - Monthly average soiling and snow loss factors based on satellite data for accurate yield estimation in tools like PVSYST - Comparison of cleaning technologies (tractors, robots, manual cleaning) to determine the cost-optimal cleaning schedule - Evaluation of albedo-enhancing materials to maximize the yield of bifacial modules - Customizable models for soiling and snow losses, allowing users to fine-tune parameters and integrate data from various sources - Generation of detailed risk assessment reports to justify investment decisions - Integration with Terabase PlantPredict for improved solar energy forecasting - Python package for building custom models with full control over data sources and logic </features> <target_audience> PVRADAR primarily targets utility-scale PV project developers, operators, and investors who need to accurately assess and mitigate performance losses due to soiling, snow, and other environmental factors. </target_audience>

What does PVRADAR do?

Where is PVRADAR located?

PVRADAR is based in Munich, Germany.

When was PVRADAR founded?

PVRADAR was founded in 2022.

Location

Munich, Germany

Founded

2022

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PVRADAR

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Executive Summary

pvradar.com LinkedIn Profile

Founded 2022 – Munich, Germany

Funding

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Company Description

Problem

Utility-scale photovoltaic (PV) projects face performance losses due to soiling from dust and other environmental factors, as well as snow accumulation, leading to inaccurate energy yield predictions and suboptimal operational strategies. Traditional methods for assessing these losses often require costly on-site measurements and may not provide comprehensive, long-term insights. This can result in underperforming assets and reduced profitability for project developers and operators.

Solution

PVRADAR is a software platform that leverages satellite data and meteorological information to quantify performance losses in utility-scale PV plants caused by soiling and snow. The platform provides accurate, location-specific monthly loss predictions, enabling project developers to improve energy yield estimations and mitigate risks from the initial stages of development. PVRADAR also facilitates the optimization of cleaning strategies by comparing various cleaning technologies and services, allowing users to minimize cleaning costs and maximize energy production. Additionally, the platform offers tools to evaluate the potential benefits of albedo-enhancing materials for bifacial PV systems, providing a comprehensive approach to performance optimization.

Features

Monthly average soiling and snow loss factors based on satellite data for accurate yield estimation in tools like PVSYST

Comparison of cleaning technologies (tractors, robots, manual cleaning) to determine the cost-optimal cleaning schedule

Evaluation of albedo-enhancing materials to maximize the yield of bifacial modules

Customizable models for soiling and snow losses, allowing users to fine-tune parameters and integrate data from various sources

Generation of detailed risk assessment reports to justify investment decisions

Integration with Terabase PlantPredict for improved solar energy forecasting

Python package for building custom models with full control over data sources and logic

Target Audience

PVRADAR primarily targets utility-scale PV project developers, operators, and investors who need to accurately assess and mitigate performance losses due to soiling, snow, and other environmental factors.