Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada

Chance-constrained two-stage fractional optimization for planning regional energy systems in... •A chance-constrained two-stage fractional regional energy model is developed.•CTFO-REM generates useful results for planning British Columbia’s energy systems.•Results allow in-depth analyses of objectives, scenarios, and expansions.•A conventional model is also considered to demonstrate CTFO-REM’s advantages.•Results of two models show significant differences between CTFO-REM and TCMIP. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Energy Elsevier

Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada

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Publisher
Elsevier
Copyright
Copyright © 2015 Elsevier Ltd
ISSN
0306-2619
D.O.I.
10.1016/j.apenergy.2015.05.013
Publisher site
See Article on Publisher Site

Abstract

•A chance-constrained two-stage fractional regional energy model is developed.•CTFO-REM generates useful results for planning British Columbia’s energy systems.•Results allow in-depth analyses of objectives, scenarios, and expansions.•A conventional model is also considered to demonstrate CTFO-REM’s advantages.•Results of two models show significant differences between CTFO-REM and TCMIP.

Journal

Applied EnergyElsevier

Published: Sep 15, 2015

References

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