Skip to main content

page search

Library Integrated Reservoir Management under Stochastic Conditions

Integrated Reservoir Management under Stochastic Conditions

Integrated Reservoir Management under Stochastic Conditions

Resource information

Date of publication
December 2011
Resource Language
ISBN / Resource ID
AGRIS:US2016204206

Water Management and Planning
This study is primarily concerned with the planning and management of a multipurposereservoir. An economic optimization model using non-linear programming is developed andsolved using Risk Solver to maximize the net economic benefits derived from different use of reservoir water under uncertainties. Marketed: urban and rural water supply and hydropower generation and non-marketed: lake recreation uses are considered directly in the maximization problem while flood control and downstream releases are incorporated as constraints. Stochastic inflows to the reservoir are considered to be log normally distributed. Lake Tenkiller because ofits clear water and scenic beauty is chosen for this study. A mass balance equation is used to determine the level and volume of water in the lake for each period over the year 2010. Both the value of a visitor day and the number of visitor are the function of lake level which makes it completely unique. Results show that for Lake Tenkiller it is beneficial to maintain the lake levelat around 634 feet above mean sea level (famsl) until mid-August, and then start drawing down for hydropower generation. A sensitive analysis is also performed with different values of visitor day and peak electricity prices. However, the results remain the same for all different scenariosmaking the model completely robust and the solution also satisfies the equi-marginal principle.

Share on RLBI navigator
NO

Authors and Publishers

Author(s), editor(s), contributor(s)

Debnath, Deepayan
Stoecker, Arthur L.
Boyer, Tracy A.
Sanders, Larry D.

Data Provider