000214831 001__ 214831
000214831 005__ 20190604054634.0
000214831 0247_ $$2doi$$a10.1021/acs.iecr.5b02104
000214831 022__ $$a0888-5885
000214831 02470 $$2ISI$$a000368323500020
000214831 037__ $$aARTICLE
000214831 245__ $$aFramework for the Multi-period Sequential Synthesis of Heat Exchanger Networks with selection, design and scheduling of Multiple Utilities
000214831 260__ $$bAmerican Chemical Society$$c2015$$aWashington
000214831 269__ $$a2015
000214831 336__ $$aJournal Articles
000214831 520__ $$aA novel sequential approach is proposed for the multiperiod synthesis of Heat Exchanger Networks (HEN) and Utility Systems of chemical processes and energy systems. The framework can be used also for single period problems. Given the set of hot and cold process streams with period dependent heat loads and target temperatures and a set of available utility systems, the algorithm determines the optimal utility system selection, design, and operation scheduling, as well as the optimal HEN. In this work, the approach of solving multiperiod problems by adopting (1) the Multiperiod Utility Integration and Scheduling model of Maréchal and Kalitventzeff, a modified formulation for (2) the Multiperiod Minimum Number of Units problem of Floudas and Grossmann, and (3) the Multiperiod Minimum Investment Network problem proposed by Floudas and Grossmann is improved by coupling the existing framework with the derivative-free hybrid algorithm PGS-COM of Martelli and Amaldi. Compared to the classic sequential approach,3 it is possible to select, design, and determine the optimal operation scheduling (switching on/off) of the utility systems, to design the HEN considering not only parallel configuration of utilities but also series of utility exchangers and hybrids configurations, to optimize the matches between streams looking for the minimum total cost rather than only for the minimum number of units, and to account for nonlinear cost functions not related to heat exchangers area. The proposed framework is tested on small-scale and medium-scale case studies in order to make a comparison with the classic sequential approach.
000214831 6531_ $$aHeat Exchanger Network Synthesis
000214831 6531_ $$aSequential approach
000214831 6531_ $$aMultiperiod
000214831 6531_ $$aPGS-COM
000214831 6531_ $$aOptimization
000214831 700__ $$0246393$$g217891$$aMian, Alberto
000214831 700__ $$aMartelli, Emanuele
000214831 700__ $$aMaréchal, François$$g140973$$0240374
000214831 773__ $$j55$$tIndustrial and Engineering Chemistry Research$$k1$$q168-186
000214831 8564_ $$uhttps://infoscience.epfl.ch/record/214831/files/acs2Eiecr2E5b02104.pdf$$zPublisher's version$$s4128411$$yPublisher's version
000214831 909C0 $$xU12691$$0252481$$pIPESE
000214831 909CO $$qGLOBAL_SET$$pSTI$$ooai:infoscience.tind.io:214831$$particle
000214831 917Z8 $$x217891
000214831 917Z8 $$x148230
000214831 917Z8 $$x140973
000214831 937__ $$aEPFL-ARTICLE-214831
000214831 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000214831 980__ $$aARTICLE