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Title: Development of models for the planning of large-scale water-energy systems. Final report

Technical Report ·
OSTI ID:6745211

A mathematical optimization model has been developed to help investigate various alternatives for future water-energy systems. The capacity expansion problem of water-energy systems can be stated as follows: Given the future demands for water, electricity, gas, and coal and the availability of water and coal, determine the location, timing, and size of facilities to satisfy the demands at minimum cost, which is the sum of operating and capacity costs. Specifically, the system consists of four subsystems: water, coal, electricity, and gas systems. Their interactions are expressed explicitly in mathematical terms and equations, whereas most models describe individual constraints but their interactions are not stated explicitly. Because of the large scale, decomposition techniques are extensively applied. To do this an in-depth study was made of the mathematical structure of the water-energy system problem. The Benders decomposition is applied to the capacity expansion problem, decomposing it into a three-level problem: the capacity problem, the production problem, and the distribution problem. These problems are solved by special algorithms: the generally upper bounded (GUB) algorithm, the simply upper bounded (SUB) algorithm, and the generalized network flow algorithm, respectively.

Research Organization:
Texas Univ., Austin (USA). Center for Research in Water Resources
OSTI ID:
6745211
Report Number(s):
CRWR-187; ON: DE83900379
Resource Relation:
Other Information: Portions of document are illegible
Country of Publication:
United States
Language:
English