LEADER 02074nam 2200397 450 001 9910795589503321 005 20230803211653.0 010 $a3-8325-9278-4 035 $a(CKB)4340000000242236 035 $a(MiAaPQ)EBC5216195 035 $a5a8e86f3-e230-42d8-ba68-66c5b0dd2d03 035 $a(EXLCZ)994340000000242236 100 $a20180521d2014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGas network optimization by MINLP /$fJesco Humpola 210 1$aBerlin :$cLogos Verlag,$d[2014] 210 4$dİ2014 215 $a1 online resource (260 pages) 300 $aPublicationDate: 20170725 311 $a3-8325-4505-0 330 $aLong description: This thesis is about mathematical optimization for an efficient operation of gas transmission networks. The challenging question is how to expand and operate the network in order to facilitate the transportation of specified gas quantities at minimum cost. This problem is a major challenge for gas network operators. It is extremely hard to solve due to the combinatorial complexity of the active network elements such as compressors, the nonlinear physical characteristic of pipelines, and the immense sizes of the problem instances. Mathematical models and optimization techniques can result in huge gains for the network operators in terms of cost reductions and automated computations. We tackle this challenge by developing novel mathematical theory and associated innovative optimization algorithms for large scale instances. This allows us to produce solutions for a real-world instance, i.e., the largest gas network in Germany. 606 $aGases$xAbsorption and adsorption 615 0$aGases$xAbsorption and adsorption. 676 $a660.28423 700 $aHumpola$b Jesco$01476152 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910795589503321 996 $aGas network optimization by MINLP$93690566 997 $aUNINA