Abstract

Biomass, for example, energy crops, forests, and agricultural residues, has emerged as a renewable energy option to alleviate the consumption of limited fossil fuel resources and the consequent environmental issues. Designing an effective and efficient biomass-to-biofuel supply chain involves sophisticated decision-making processes, often requiring collaborative work on data integration, model specification, scenario analysis, and coordinated implementation and management. To establish an integrated system for such work, challenges exist in (1) the limited interoperability between bioenergy models and geographic information systems (GIS); (2) interactive scenario construction, evaluation, and sharing; and (3) complex optimization problem solving that requires advanced cyberinfrastructure resources to support interactive decision-making. To resolve these challenges, this paper describes CyberGIS-BioScope, an interactive and collaborative cyberGIS-based spatial decision-making environment for biomass-to-biofuel supply chain optimization. The CyberGIS-BioScope takes advantage of cyberGIS capabilities to process and analyze spatial data and enhance visualization and sharing of optimization results. Meanwhile, the integrated environment makes the complex optimization model and advanced cyberinfrastructure resources easily accessible for agricultural scientists and decision-makers and thus accelerates their scientific discovery and decision-making processes.

Original languageEnglish (US)
Pages (from-to)4437-4450
Number of pages14
JournalConcurrency and Computation: Practice and Experience
Volume27
Issue number16
DOIs
StatePublished - Nov 2015

Keywords

  • CyberGIS
  • Web-based gateway environment
  • biomass supply chain
  • spatial decision-making

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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