Friday, November 23, 2012

New Report: Forecasting Algorithm for Natural Drying of Energy Wood in Forest Storages




Increasing procurement volumes of forest biomass for energy require improved information systems to control and manage transportation. Moisture content of the biomass is the most important quality parameter to follow. Transportation of water in solid biofuels increases both costs and CO2 emissions. Procurement operations need to be directed to storages which have low enough moisture content. Storing the fuel too long time increases capital costs of procurement as well as heating value losses. This complex decision making situation requires for possibility to forecast moisture content changes of storages as a part of the procurement control of energy wood. This study introduces one approach to create forecasting algorithm based on daily moisture change and drying periods. The algorithm is simple and easy to program and can be a part of enterprise resource planning (ERP) applications.

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