http://www.cnr.it/ontology/cnr/individuo/prodotto/ID171398
A tool for productivity and cost forecasting of decentralised wood chipping (Articolo in rivista)
- Type
- Label
- A tool for productivity and cost forecasting of decentralised wood chipping (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Spinelli R., Magagnotti N. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- A tool for productivity and cost forecasting of decentralised wood chipping (literal)
- Abstract
- The growing interest in forest biomass has made chipping increasingly popular all across Europe. Many
operators have equipped for the purpose, but the large variety of working conditions found in the European
forests makes it difficult to correctly estimate the productivity of each specific operation, leading to
uncertainty in crucial decisions, such as: operation scheduling, price setting, machinery selection and
acquisition. In 2001, the Italian National Council for Research (CNR) and the University of California (UC)
developed a spreadsheet freeware capable of returning reliable estimates of chipping productivity and cost,
on the basis of user-defined input data. The model is still available from the CNR website and is the object of
frequent downloading and inquiries. Such model contains a set of predictive equations derived from the
results of 102 field trials, conducted with 30 different machines, under a range of working conditions. In
order to facilitate comparison with other estimates and to achieve methodological transparency, the
equations are assembled into a simple Microsoft Excel workbook, and the costs are calculated with standard
costing methods currently used in Forest and Agricultural Engineering. Since then CNR has continued to
work on the subject, with the goal of updating and refining the model. Such work has included 45 validation
tests and a separate study on the delay (idle) time typical for different chipping operation layouts. The study
was concluded in 2009 and confirms that the model developed by CNR can provide reliable estimates of
chipper productivity under a range of operational conditions. Authors believe that such a model can assist
European foresters in keeping ahead with the growing biomass sector, thus helping them to seize an
important business opportunity. (literal)
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- Autore CNR
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