Articles | Volume 19, issue 8
https://doi.org/10.5194/hess-19-3557-2015
https://doi.org/10.5194/hess-19-3557-2015
Research article
 | 
12 Aug 2015
Research article |  | 12 Aug 2015

Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

J. Chu, C. Zhang, G. Fu, Y. Li, and H. Zhou

Viewed

Total article views: 4,479 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,117 2,148 214 4,479 197 234
  • HTML: 2,117
  • PDF: 2,148
  • XML: 214
  • Total: 4,479
  • BibTeX: 197
  • EndNote: 234
Views and downloads (calculated since 08 Apr 2015)
Cumulative views and downloads (calculated since 08 Apr 2015)

Cited

Saved (final revised paper)

Latest update: 01 Nov 2026
Download
Short summary
This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses a global sensitivity analysis method to screen out insensitive decision variables and thus forms simplified problems with a significantly reduced number of decision variables. We find that it is important to consider variable interactions when formulating simplified problems, and problem decomposition dramatically improves search efficiency and effectiveness.
Share
Altmetrics
Final-revised paper
Preprint