نتایج جستجو برای: exchanger network
تعداد نتایج: 683695 فیلتر نتایج به سال:
This paper gives an overview of the evolution of mathematical methods for heat exchanger network synthesis over the last 25 years. Two major developments have been methods for targeting and methods for automated synthesis through simultaneous optimization. The former have helped to expand the scope and increase the accuracy of pinch based methods; the latter have provided a framework to automat...
We develop a trust region filter strategy for simultaneous optimal design of heat exchanger networks that includes detailed shell-and-tube exchangers. The first solves mixed-integer nonlinear programming (MINLP) formulation with shortcut models to generate candidate network topologies, which are then used in non-isothermal mixing (NLP) suboptimization embedded using modified (TRF) algorithm. An...
3.1.0 Introduction: Heat exchanger network synthesis (HENS) is an important field in thermal engineering and has been the subject of a considerable amount of research over the past 50 years. Its significance can be attributed to its role in controlling the costs of energy for a process. The heat-exchanger network (HEN) design problem was introduced into the literature by Ten Broeck in 1944. The...
Considerable research effort has been reported in both Pinch Technology and MINLP techniques for the synthesis of heat exchanger networks. However, most of the design procedures assume constant stream heat transfer coefficients. A problem arises because there is no guarantee that the values of the coefficients assumed during network synthesis are the same as those actually achieved in detailed ...
In this paper, an intelligent controller is applied to govern the dynamics of electrically heated micro-heat exchanger plant. First, the dynamics of the micro-heat exchanger, which acts as a nonlinear plant, is identified using a neurofuzzy network. To build the neurofuzzy model, a locally linear learning algorithm, namely, locally linear mode tree (LoLiMoT) is used. Then, an intelligent contro...
Possibility to use a neural network predictive control (NNPC) strategy for control of a heat exchanger is studied. The heat exchanger is a tubular one and it is used for preheating of petroleum by hot water. The control objective is to keep the output temperature of the heated stream at a desired value and minimize the energy consumption. The advantage of the NNPC is that it is not a linear-mod...
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