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Shahab Sokhansanj

Researcher at University of British Columbia

Publications -  369
Citations -  13055

Shahab Sokhansanj is an academic researcher from University of British Columbia. The author has contributed to research in topics: Pellets & Moisture. The author has an hindex of 54, co-authored 355 publications receiving 11677 citations. Previous affiliations of Shahab Sokhansanj include University of Saskatchewan & Oak Ridge National Laboratory.

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Journal ArticleDOI

A simulation model for the design and analysis of wood pellet supply chains

TL;DR: In this article, a simulation model is developed to enhance and facilitate the studies concerning the design and analysis of wood pellet supply chains, which includes uncertainties, interdependencies between stages of the supply chain, and resource constraints.
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Development of a multicriteria assessment model for ranking biomass feedstock collection and transportation systems.

TL;DR: A proposed collection option using loafer/ stacker was shown to be the best option followed by ensiling and baling, which may change if technologies such as loafing or ensiling (wet storage) methods are proved to be infeasible for large-scale collection systems.
Proceedings ArticleDOI

A Review on Biomass Classification and Composition, Co-firing Issues and Pretreatment Methods

TL;DR: In this article, the impact of feedstock preprocessing methods like sizing, baling, pelletizing, briquetting, washing/leaching, torrefaction and pelletization and steam explosion in attainment of optimum feedstock characteristics to successfully co-fire biomass with coal is discussed.
Journal ArticleDOI

Determination of effective thermal conductivity and specific heat capacity of wood pellets

TL;DR: In this article, a modified line heat source within a wood pellets container was used to determine the thermal conductivity and specific heat capacity of wood pellets with moisture content ranging from 1.4% to 9% w.b.
Journal ArticleDOI

Machine vision based particle size and size distribution determination of airborne dust particles of wood and bark pellets

TL;DR: In this article, a simple and direct method of airborne dust particle dimensional measurement and size distribution analysis using machine vision is proposed, which involves development of a user-coded ImageJ plugin that measures particle length and width and analyzes size distribution of particles based on particle length from high resolution scan images.