Next Article in Journal
Leaf Trait Variation with Environmental Factors at Different Spatial Scales: A Multilevel Analysis Across a Forest-Steppe Transition
Previous Article in Journal
Ecological Factors Influencing Norway Spruce Regeneration on Nurse Logs in a Subalpine Virgin Forest
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Forests 2018, 9(3), 121; https://doi.org/10.3390/f9030121

Optimizing Biomass Feedstock Logistics for Forest Residue Processing and Transportation on a Tree-Shaped Road Network

1
Department of Forest Engineering, Resources and Management, College of Forestry, Oregon State University, Corvallis, OR 97331, USA
2
Division of Forest Industry Research, National Institute of Forest Science, Seoul 02455, Korea
3
Rocky Mountain Research Station, USDA Forest Service, Missoula, MT 59807, USA
*
Author to whom correspondence should be addressed.
Received: 26 January 2018 / Revised: 23 February 2018 / Accepted: 2 March 2018 / Published: 5 March 2018
(This article belongs to the Section Forest Ecology and Management)
Full-Text   |   PDF [3251 KB, uploaded 12 March 2018]   |  

Abstract

An important task in forest residue recovery operations is to select the most cost-efficient feedstock logistics system for a given distribution of residue piles, road access, and available machinery. Notable considerations include inaccessibility of treatment units to large chip vans and frequent, long-distance mobilization of forestry equipment required to process dispersed residues. In this study, we present optimized biomass feedstock logistics on a tree-shaped road network that take into account the following options: (1) grinding residues at the site of treatment and forwarding ground residues either directly to bioenergy facility or to a concentration yard where they are transshipped to large chip vans, (2) forwarding residues to a concentration yard where they are stored and ground directly into chip vans, and (3) forwarding residues to a nearby grinder location and forwarding the ground materials. A mixed-integer programming model coupled with a network algorithm was developed to solve the problem. The model was applied to recovery operations on a study site in Colorado, USA, and the optimal solution reduced the cost of logistics up to 11% compared to the conventional system. This is an important result because this cost reduction propagates downstream through the biomass supply chain, reducing production costs for bioenergy and bioproducts. View Full-Text
Keywords: forest residue; slash forwarding; in-woods grinding; equipment mobilization; mixed-integer programming forest residue; slash forwarding; in-woods grinding; equipment mobilization; mixed-integer programming
Figures

Figure 1

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

Share & Cite This Article

MDPI and ACS Style

Han, H.; Chung, W.; Wells, L.; Anderson, N. Optimizing Biomass Feedstock Logistics for Forest Residue Processing and Transportation on a Tree-Shaped Road Network. Forests 2018, 9, 121.

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]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top