Abstract
The Dynamic Energy System Optimization Model (DESOM) was developed to investigate the roles of different technologies in the energy system over an extended period of time. The long-time horizon makes it possible to show phasing in and phasing out of capacity as well as exhaustion of resources. A preliminary version of DESOM had been created prior to the start of this project. The objectives of this project were to improve computational features of the program, to incorporate electric-sector detail into the existing version of DESOM, and to transfer the DESOM model to EPRI. DESOM was reformulated in a staircase structure and solved with a nested decomposition algorithm. Unfortunately, the resulting increase in model size negated the nested decomposition benefits. It was subsequently concluded that using commercial linear programming solution algorithms was the best option. A matrix and report generator software package, PDS/MaGen, was purchased to improve running of the model. The electrical sector was made more realistic by dividing the year into three seasons (winter, summer, spring/fall) and the day into two sections (day, night). The demands were then characterized by the time divison in which they occur. DESOM was transferred to EPRI.
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