WolffWare, Ltd. applications

Bias testing of mechanical coal sampling systems is critical for ensuring that coal properties are accurately measured. Many companies often struggle with processing bias test data as specified by ASTM D6518.

Most hydro plants have acquired many years of archival data containing detailed operating information that include power, flow, blade, head, and gate data on a unit basis. These data can provide a wealth of information for optimizing system and plant efficiency and for improving the reliability of unit components and unit instrumentation.

Environmental monitoring stations provide large quantities of information with both continuous and periodic measurements. The examples below demonstrate some fairly simple, but very useful workbooks that were automatically created with DataWolff from EPA STORET data and from meteorological data. Other tasks DataWolff has automated with environmental monitoring data include: computing and plotting exceedance curves; computing hourly and daily averages from data sampled on a five-minute frequency; synchronizing data with disparate time stamps; and providing interactive Excel charts that enable you to visually remove outliers and correct dissolved oxygen data that are skewed because of fouled sensors.

On-line monitoring systems provide tremendous quantities of data, however the data provides little value unless the appropriate data analyses are performed to transform the data into useful information. Download the papers referenced by the links below to learn more about analyses that helped hydro utilities gain more value from their data.