作者: Jeff Cumpston , John Pye
DOI: 10.1016/J.SOLENER.2015.06.015
关键词: Exergy 、 Environmental science 、 Pressure drop 、 Thermal 、 Tree (data structure) 、 Process engineering 、 Heat losses 、 Power block 、 Pipe network analysis 、 Network cost
摘要: Abstract We optimise steam network trees that connect Big Dish paraboloidal collectors to a central power block. Exergy costs, pipe material and installation costs are estimated using an exergoeconomic model used links in trees. The optimal tree is then found for 10 MW e collector field genetic algorithm. An optimised 20 network. 20 MWe has additional east–west branches not seen the 10 MWe network, reduce transport from extremities. heat loss pressure drop account approximately 60% of total cost both cases. Total are, respectively, 8.9% 9.5% potential plant revenue 10 20 networks.