کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1734226 | 1016154 | 2011 | 10 صفحه PDF | دانلود رایگان |
This paper is concerned with developing several model-size reduction techniques for the analysis of large-scale renewable production and supply networks. They are (i) Reducing the connectivity in a biomass supply chain network, (ii) Eliminating unnecessary variables and constraints, (iii) Merging the collection centres. The proposed model-size reduction techniques brought computational time improvements of several magnitudes compared, with the high performance linear system solution techniques and still with a little loss in accuracy. When the methods are combined the time reductions are more significant. A proposed procedure for combining the methods can be implemented for any supply chain model with a large number of components.
► Model-size reduction techniques has been developed for the analysis of large-scale renewable production and supply networks.
► Technique A is reducing the connectivity in a biomass supply chain network.
► Technique B is eliminating unnecessary variables and constraints.
► Technique C is aggregating the network and the synthesis process by merging the collection centres.
► These techniques brought computational time improvements with a little loss in accuracy.
Journal: Energy - Volume 36, Issue 8, August 2011, Pages 4599–4608