Energy Optimization in Process Systems

作     者：Stanisław Sieniutycz Jacek Jeżowski 

I S B N：(纸本) 9780080451411 

出 版 社：Elsevier Science 

出 版 年：2009年

主 题 词：Materials and Engineering - 060 Structural Materials - 650 

学科分类：02[经济学] 0201[经济学-理论经济学] 080702[工学-热能工程] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 0807[工学-动力工程及工程热物理] 081701[工学-化学工程] 020101[经济学-政治经济学] 0703[理学-化学] 0702[理学-物理学] 

馆 藏 号：201993076...

摘      要：Despite the vast research on energy optimization and process integration, there has to date been no synthesis linking these together. This book fills the gap, presenting optimization and integration in energy and process engineering. The content is based on the current literature and includes novel approaches developed by the authors. Various thermal and chemical systems (heat and mass exchangers, thermal and water networks, energy converters, recovery units, solar collectors, and separators) are considered. Thermodynamics, kinetics and economics are used to formulate and solve problems with constraints on process rates, equipment size, environmental parameters, and costs. Comprehensive coverage of dynamic optimization of energy conversion systems and separation units is provided along with suitable computational algorithms for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic programming, variational calculus, Hamilton-Jacobi-Bellman theory, Pontryagin s maximum principles, and special methods of process integration. Integration of heat energy and process water within a total site is shown to be a significant factor reducing production costs, in particular costs of utilities for the chemical industry. This integration involves systematic design and optimization of heat exchangers and water networks (HEN and WN). After presenting basic, insight-based Pinch Technology, systematic, optimization-based sequential and simultaneous approaches to design HEN and WN are described. Special consideration is given to the HEN design problem targeting stage, in view of its importance at various levels of system design. Selected, advanced methods for HEN synthesis and retrofit are presented. For WN design a novel approach based on stochastic optimization is described that accounts for both grassroot and revamp design scenarios.