Next Article in Journal
Direct Numerical Simulation of Supersonic Turbulent Boundary Layer with Spanwise Wall Oscillation
Next Article in Special Issue
Application of Scaling-Law and CFD Modeling to Hydrodynamics of Circulating Biomass Fluidized Bed Gasifier
Previous Article in Journal
A Time-Frequency Analysis Method for Low Frequency Oscillation Signals Using Resonance-Based Sparse Signal Decomposition and a Frequency Slice Wavelet Transform
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Energies 2016, 9(3), 155; doi:10.3390/en9030155

Adaptive Procurement Guidelines for Automatic Selection of Renewable Forest Energy Sources within a Sustainable Energy Production System

1
Faculty of Science and Forestry, University of Eastern Finland, P.O. Box 111, Joensuu FI-80101, Finland
2
Stora Enso Wood Supply Finland, P.O. Box 309, Helsinki FI-00101, Finland
*
Author to whom correspondence should be addressed.
Academic Editor: Dimitris S. Argyropoulos
Received: 31 December 2015 / Revised: 22 February 2016 / Accepted: 25 February 2016 / Published: 3 March 2016
(This article belongs to the Special Issue Energy from Forest Biomass)
View Full-Text   |   Download PDF [882 KB, uploaded 3 March 2016]   |  

Abstract

An automatic forest-stand selection method was developed that integrates the procurement of profitable energy sources within a sustainable energy production system. We tested the method using a forest harvester simulator. We found that site-specific estimates of forest characteristics are important when predicting the potential of an energy-wood stand as a renewable energy source. Further, tree parameters can be combined with automatic stem measurements from a multiple-tree harvester to predict the energy-wood biomass in the stands. The selection process uses data from profitability studies. The selection process also uses environmental criteria to ensure that sufficient soil organic matter is left behind and to protect the soil against erosion. The integrated system of the harvester automatically adapts the system’s models and stand-selection rules to account for various site-specific stand parameters. Predicting the profitable and environmentally acceptable yield of stand biomass has great potential in sustainable forest resource management, but managers must decide whether the operational procurement guidelines provided by the stand-selection method is acceptable under their local real-world wood procurement conditions. View Full-Text
Keywords: automation; energy-wood; profitable; renewable; sustainable automation; energy-wood; profitable; renewable; sustainable
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Palander, T.; Kärhä, K. Adaptive Procurement Guidelines for Automatic Selection of Renewable Forest Energy Sources within a Sustainable Energy Production System. Energies 2016, 9, 155.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top