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Evaluate

Detailed assessment of power production for new and operational solar power plants

How Solargis evaluation solutions help

Increase certainty of long-term energy estimates

An important component of the risk assessment is the confidence that can be placed in estimated energy production. Use of Solargis time series data for energy modelling reduces uncertainty and thus reduces the perceived long-term resource risk. As a result, Solargis helps achieving better terms for project financing. When local ground measurements are available, these can be used to further reducing the uncertainty of the long-term resource estimate at project site.

Quantify uncertainty in revenues for a given year and lifetime of project

Banks and investment firms often require energy output expressed as P90 and other probability of exceedance values to determine the risk associated with a project’s ability to service its debt obligations and other operating costs. Solargis time series data are used to make detailed cash flow analysis and model energy estimates for different probability scenarios over the operating lifetime of the project.

Get realistic revenue estimates when valuation of PV output is time dependent

In the post feed-in-tariff era where valuation of PV power can be dependent on when the electricity is generated, accurate representation of power generation profile is critical. Solargis time series data enable calculating detailed and accurate assessment of the intra-day electricity generation profile of a PV system.

Independently evaluate performance for operational power plants

Solargis time series data is available also for a recent time period, allowing to independently check performance of any operational PV system.

Useful resources

Evaluating uncertainty of modeled irradiance data

Learn how to evaluate uncertainty of modeled irradiation data and how we estimate uncertainty of Solargis data

Scientific Paper

Site-adaptation of modeled irradiance data

Overview of approaches for reducing uncertainty of satellite-based longterm estimates of solar radiation by combining them with short-term locally measured data.

Generating TMY data

Review of approaches for generation of TMY from multi-year time series

Scientific Paper

Independent data comparison

IEA independent validation study, authored by leading solar resource expert Pierre Ineichen, identifies Solargis as the most accurate solar radiation database.

Read the report

Relevant products and services

P HTS TMY data 180x180px wh

Solargis Evaluate

Time series and TMY data for advanced energy modelling and design optimization of solar power plants

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S Solar resourcesassessment study 180x180px wh

Solar resource assessment study

Validation and analysis of solar resource and meteorological conditions at a project site, documented in a bankable report.

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S PV yield study 180x180px wh

PV energy yield assessment study

Independent energy yield assessment study with detailed analysis of the energy simulation steps and related uncertainties.

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S PV Performance assessment study 180x180px wh

PV performance assessment study

Obtain a revised and more accurate estimate of long-term energy yield. Additionally, detect underperformance and take corrective measures to maximise energy yield

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S Ground data quality check 180x180px wh

Quality control of solar radiation measurements

Independent validation and quality control of solar and meteorological measurements

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S Site adaptation 180x180px wh

Site-adaptation of Solargis data

Use of ground based solar resource measurements to improve accuracy of Solargis data for your project site.

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