Systems
engineering research is conducted to analyze improvements in performance of a
water‐storage and ‐distribution system in response to improved monitoring of irrigation
demands. The Mahaweli system in Sri Lanka, a multireservoir system with both
hydropower and irrigation objectives, has been selected as a case study. The
operation of the Mahaweli system is simulated using a regression model obtained
through implicit stochastic optimization. Spatially independent, cross‐correlated,
and systematic errors in irrigation demands are considered. These three, types
of errors have similar patterns in their effects on system operation. When the
Mahaweli system is operated optimally, both energy shortages and irrigation
shortages increased with increasing standard deviations of error. This
indicates that improving the measurements of irrigation demand would be
beneficial to both farmers and hydropower recipients.
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Importance of Demand Estimation in Irrigation-System Management | 240.49 KB |