Abstract
Heat exchanger networks (HENs) play a significant role in the energy conservation of any process industry. The HENs are used to maximize heat recovery by exchanging heat between hot and cold process streams. Therefore, the optimum design of HENs is extremely important to reach the maximum efficiency of energy systems. Many graphical methods have been developed during the last four decades for synthesizing of heat exchanger networks (HENs). However, most of these methods have only been evaluated for retrofitting design of HENs. In the grassroots design situation, these methods are often complicated and tedious. This paper introduces a new and simple graphical approach for HEN grassroots design. The new approach based on a single graph called Supply-Target Diagram (ST-D). The ST-D is formulated by plotting supply temperatures versus target temperatures of streams. Streams matching can easily be applied in the ST-D and splitting of streams is clearly visualized and evaluated. A case study is used to illustrate the application of the new graphical method for grassroots design of HENs.
Highlights
The global demand for energy has been considerably increasing due to the continuous growth in the global economic
This paper presents a new and simple graphical method for grassroots design of heat exchanger networks (HENs) using the Supply-Target Diagram (ST-D)
Streams matching can be represented in the ST-D and streams splitting is determined and conveniently applied
Summary
The global demand for energy has been considerably increasing due to the continuous growth in the global economic. This increase in the energy consumption and its environmental, economic and societal effects has created escalating global concern [1] This concern has been reflected in huge research on the energy efficiency of various sectors including commercial, residential, transportation and industrial [2,3,4,5,6]. The latter contributes in nearly 38% of global energy consumption. The process integration technique, called pinch analysis, was first introduced to analyze energy flows in process heat exchanger networks. Problem Table is used for algebraically setting heating and cooling targets [15]
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