Regional biomass energy supply chain management strategy

P-graph approach

H. Lam, P. Varbanov, J. Klemes, F. Friedler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for regional energy targeting and supply chain synthesis is presented. A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region. The studied region is partitioned into a number of clusters using the Regional Energy Clustering (REC) algorithm. The REC targets aim at minimizing the system carbon footprint. Energy supply chain synthesis is performed within each cluster using the P-graph framework. The synthesis algorithm generated a maximal structure containing all feasible options, from which solution structures were obtained. This is an abstract of a paper presented at the 8th World Congress of Chemical Engineering (Montreal, Quebec, Canada 8/23-27/2009).

Original languageEnglish
Title of host publication8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering
Publication statusPublished - 2009
Event8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering - Montreal, QC, Canada
Duration: Aug 23 2009Aug 27 2009

Other

Other8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering
CountryCanada
CityMontreal, QC
Period8/23/098/27/09

Fingerprint

Supply chain management
Biomass
Cluster Analysis
Carbon Footprint
Renewable Energy
Chemical Engineering
Supply chains
Quebec
Canada
Carbon footprint
Chemical engineering
Clustering algorithms

ASJC Scopus subject areas

  • Biotechnology
  • Chemical Health and Safety
  • Process Chemistry and Technology
  • Renewable Energy, Sustainability and the Environment

Cite this

Lam, H., Varbanov, P., Klemes, J., & Friedler, F. (2009). Regional biomass energy supply chain management strategy: P-graph approach. In 8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering

Regional biomass energy supply chain management strategy : P-graph approach. / Lam, H.; Varbanov, P.; Klemes, J.; Friedler, F.

8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering. 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lam, H, Varbanov, P, Klemes, J & Friedler, F 2009, Regional biomass energy supply chain management strategy: P-graph approach. in 8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering. 8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering, Montreal, QC, Canada, 8/23/09.
Lam H, Varbanov P, Klemes J, Friedler F. Regional biomass energy supply chain management strategy: P-graph approach. In 8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering. 2009
Lam, H. ; Varbanov, P. ; Klemes, J. ; Friedler, F. / Regional biomass energy supply chain management strategy : P-graph approach. 8th World Congress of Chemical Engineering: Incorporating the 59th Canadian Chemical Engineering Conference and the 24th Interamerican Congress of Chemical Engineering. 2009.
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