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- W96812820 abstract "A computer program, COST (Cost Optimizing Selection Technique), for the selection of an Integrated Community Energy System (ICES) was tested to evaluate its overall performance. The testing procedure used data corresponding to a community for which an ICES application had previously been conceptually designed and evaluated by conventional manual means. COST was developed to select the optional ICES tailored to a specific community. This involves finding the best generic types and capacities of equipment that can minimize annual costs. For time intervals chosen to represent different seasons, weekdays/weekends, and different times of day, the program determines equipment operating levels and amounts of purchases and sales of appropriate energy forms. The optimization criterion accounts for capital expenditures, operating costs, and the purchase and sale of energy forms - all with the requirement that community energy requirements be satisfied. To accomplish this, mathematical programming (Benders' Partitioning Algorithm) is used. The results of preliminary testing indicate that the output of COST is internally consistent, intuitively plausible, and consistent with the benchmark manual analysis. COST is expected to facilitate the assessment of system alternatives under varying assumptions; for example, assumptions with respect to economic parameters, relationship with the grid, community energy demand, and candidatemore » sets of equipment.« less" @default.
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- W96812820 date "1980-01-01" @default.
- W96812820 modified "2023-09-27" @default.
- W96812820 title "Preliminary evaluation of automated ICES selection methodology, cost" @default.
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