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156 model capability in TRNSYS, two conceivable control strategies are considered: a variable-rate control strategy that maximizes output during a “peak-rate” window, and a fixed-rate control strategy that extends power production as long as possible. The fixed- rate strategy proves the most efficient from an energy perspective, by operating the power cycle for a longer period at its design point. There is little to be gained in overall system solar-to-electric efficiency by using storage as a thermal capacitor to maintain power cycle operation at its optimal point. This observation makes the economics of thermal storage (direct or indirect) tenuous at best. Utility market forces must strongly favor the flexibility offered by storage in order to offset its substantial cost. Recommendations for future work The optimization of the APS Saguaro plant presented in this thesis identifies the opportunity to improve overall plant performance, but the equipment cost functions are only approximate. More detailed power cycle and solar field cost estimation is essential for putting this optimal design strategy into practice. To accomplish this, more powerplant cost data needs to be obtained and compared with both the cost functions used in this thesis as well as other cost functions in order to establish a validated reference for not only capital cost variation but also the absolute costs required to perform useful economic analyses. In particular, in the power cycle model, independent cost weightings for different heat exchanger types (boiler, condenser, recuperator) need to be identified. A more accurate baseline cost of the solar field should also be established, as the relative weighting between solar field and power cycle cost is the principle factor in determining the optimum power cycle operating point. Using validated cost functions, the optimization methodology as a whole could be tested against a variety of power cycle designs – both solar-thermal and traditional.PDF Image | Organic Rankine Cycle Solar-Thermal Powerplants
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