SANDER + PARTNER GmbH

Fabrikstrasse 11, CH-3012 Bern, Switzerland Fon: +41 (0)31 961 2565 info@sander-partner.ch www.sander-partner.ch Fax: +41 (0)31 961 2566

FAX: ++41-31 961 2566

MINT easy No licence required. free free

MINT pepper Single licence and 1 year up-dates and support. 1800 Euro Euro

MINT pepper for all Each additional licence. 600 Euro Euro

MINT service One year subscription for up-dates and support. 450 Euro Euro

Teaching licence: available to students and faculty of qualified educational institutions for training and teaching purposes only. Commercial use in any form is excluded and requires a commercial licence.

TeachingDiscount

50%Euro

Total Euro

Institution

Name

Street

City

Country

email

Support: Technical and scientific support is provided during office hours, either via phone, or via email.

Date Signature I agree with the licence conditions. After receive of net payment, the licence will be send to my email adress.

Net-payment toBank transfer to our Swiss account: Bank transfer to our EU account:Sander + Partner GmbH Dr. Johannes SanderBern, SwitzerlandKantonalbank Bern Bank's name ING DiBaKBBECH22 (BIC) SWIFT Code INGDDEFFCH95 0079 0016 2466 6607 5 IBAN DE50 5001 0517 5404 6709 03

Licence conditions: Usage of the program requires that you download the program and accept the licence conditions shown during the installation of the program. The program is property of Sander + Partner GmbH. Any rental, hiring or re-selling or any other distribution of the program is prohibited. Sander + Partner GmbH guarantee that the program is working in principle as described. Any other warranty is in no way given neither by Sander + Partner GmbH nor by a re-seller. No warranty is given for incorrect usage or for any damages caused by the usage of the program. Sander + Partner GmbH does not guarantee nor do we promise the fitness of use for any particular purpose. USAGE OF THE PROGRAM IS ON YOUR OWN RISK. The licence is governed by the laws of the Kanton Bern, Switzerland. Prices may be changed without prior notice. 01/2011

0.00

0.00

0.00

0.00

0.00

SANDER + PARTNER GmbH

Fabrikstrasse 11, CH-3012 Bern, Switzerland Fon: +41 (0)31 961 2565 info@sander-partner.ch www.sander-partner.ch Fax: +41 (0)31 961 2566

Download MINT fromhttp://www.sander-partner.ch

Double-click "mint.setup.exe" to start installation.

MINT easy

MINT light

MINT pepper

Access Wind Data On-line access to proprietary wind data: World-Wind-AtlasWind Atlas PolandWind Atlas Romania or others.

Read and analyse multiple data files

Read csv type data files.Can handle very large data files (150MB or more).Automatically recognize header lines, types of data columns.Adjust for time zone.Save and apply file format for repeated use.

Read and analyse multiple SODAR or LIDAR data files

Read csv type data of LIDAR or SODAR.Can handle very large data files (150MB or more).Automatically recognize header lines, types of data columns.Group data of different device channels.Save and apply file format for repeated use.

PDF Report of Results All results are documented in a PDF report.

Power Curve P Read power curve of wind turbines.

Wind Rose P,E,F Plot different kinds of wind roses.

Multi Wind Rose P,F Plot wind roses of 8 data files.

Time Series P,E,F Plot time series of 1 to 8 data files.

Wind Shadow P,F Plot difference or quotient of two data sets.

Turbulence P,E,F Plot Turbulence Intensities according to IEC 64100.

Vertical Interpolation P,E,F Extrapolate a time series to another height based on

exponential profile, log-profile, wind shear-profile.

Profile P,E,F Plot SODAR / LIDAR data. Fit a log-profile and

exponential profile, estimate correlation.

Risk Analysis P,E,F Estimate level of exceedance of annual power

production with Monte-Carlo-Simulation.

Histogram P,E,F Plot a single histogram or bin data.

Multi Histogram P,E,F Plot 1 to 8 histograms into a single graph.

Scatter Plot P,F Scatter plot of 2 data sets. Evaluate correlation:

Spearman Rank Order, Pearson product-moment correlation, Kolmogorov-Smirnov test. Plot empirical PDF.

Cycle P,E,F Box-plots of annual, monthly, weekly, hourly cycles.

SANDER + PARTNER GmbH

Fabrikstrasse 11, CH-3012 Bern, Switzerland Fon: +41 (0)31 961 2565 info@sander-partner.ch www.sander-partner.ch Fax: +41 (0)31 961 2566

MINT easy

MINT light

MINT pepper

Multi Cycle P,E,F Plot annual, monthly, weekly, hourly cycles of 1 - 8 data

sets in a single graph.

Weibull Fit P,F Fit data to a Weibull distribution: weighted linear fit,

Maximum likelihood estimator, WAsP-like estimator. Show different plots to analyse reliability of the fit.

Bootstrap P,F Estimate confidence intervalls of a Weibull fit based on

boot-strapping.

Gumble Fit P,E Estimate extreme winds and 50-year return periods

based on Gumble distribution. Show different plots to analyse reliability of the Gumble fit.

GEV Fit P,E,F Estimate extreme winds and 50-year return periods

based on GEV distribution. Show different plots to analyse reliability of the GEV fit.

POT P,E,F Estimate extreme winds and 50-year return periods

based on peak-over-threshold POT method distribution. Show different plots to analyse reliability of the POT method.

Q-Q P,F Plot Quantile-Quantile graph.

MCP Linear P,E,F Perform linear correlation (1st, 2nd, 3rd order

polynominal fit). Estimate correlation coefficients and error of the result. Show different plots to analyse reliability. Predict long-term data.

MCP Quantile P,E,F Perform quantile correlation (1st, 2nd, 3rd order fit).

Estimate correlation coefficients and error of the result. Show different plots to analyse reliability. Predict long-term data.

MCP Orthogonal P,E,F Perform orthogonal correlation (1st, 2nd, 3rd order fit).

Estimate correlation coefficients and error of the result. Show different plots to analyse reliability. Predict long-term data.

MCP Multi P,E,F Perform orthogonal correlation based on 1,2,3 or 4 data

sets (1st order fit). Estimate correlation coefficients for each data set and the error of the result. Show plots to analyse reliability. Predict long-term data.

Apply Data Filter Data can undergo various filtering: - apply power curve to transform wind speed into wind power - select data by wind direction - perform time shift of time series data by seconds, minutes, hours, days - select data out of a time range - select data for limited period out of years, months, days of month, hours - conditional filtering (less than, equal, greater, from .. to .. ) - geometric transformation (+ - * / ) - cumulate data over time by years, months, days, hours, minutes, seconds.Save and apply filter for repeated use.

P: Plot

P,E: Plot and Export Data

P,E,F: Plot, Export and Filter Data