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SEGS VI 1999 17 12 84 1,493 0 143 527 306 2,554 Trough 2010 2015 2020 Trough Trough 100 100 2004 2007 17 11 11 9 73 65 2,497 1,815 958 425 383 383 383 10092746448 367 349 293 256 197 213 203 171 149 115 4,208 2,949 2,487 2,198 1,916 Trough Trough 150 200 400 D-5 SL-5641 Final Other (Spares, HTF, freight), $/m2 field Contingency, $/m2 field Direct Capital Cost, $/kWe Structures and Improvements, $/kWe Solar Collection System, $/kWe Thermal Storage System, $/kWe Steam Generator or HX System, $/kWe EPGS, $/kWe Balance of Plant, $/kWe Total Direct Cost, $/kWe 10 9 8 8 7 6 54 48 41 1,512 1,299 1,132 In a series of evolutionary design improvements, the following major advancements formed the basis of the SunLab estimates: • Collector A comprehensive series of wind tunnel tests on parabolic trough collector models was carried out in 2001–2002, establishing design pressure force coefficients for various wind approach angles and collector orientations, with and without a wind fence. Using these coefficients, finite element methods stress analyses were used to optimize the collector structure for wind survival conditions, minimizing collector weight and defining design parameters for mirror strength, pylons, and foundations. With more tightly known design parameters, collector weight, and thus costs, can be lowered. High efficiency and durable receivers are assumed to be developed, with selective surfaces (consisting of special selective coatings on the metal tube receivers) to maximize the absorption of incident solar radiation and minimize radiation losses from the receiver. High efficiencies result in smaller solar fields for a given thermal energy delivery, and longer lifetimes to reduce operation and maintenance costs. Advanced receivers are assumed utilizing selective surfaces that can operate efficiently at temperatures of 500°C or higher, paving the way for major advancements in thermal storage and power block operation for trough plants.PDF Image | Assessment of Parabolic Trough and Power Tower Solar Technology Cost and Performance Forecasts
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