Abstract

Energy demand and flue gas emissions, namely carbon dioxide (CO2) associated with the industrial revolution have exhibited a continuous rise. Several approaches were introduced recently to mitigate energy consumption and CO2 emissions by either grass root design or retrofit of existing heat exchanger networks (HEN) in chemical process plants. In this work, a combinatorial approach of path combination is used to generate several options for heat recovery enhancement in HEN. The options are applied to successively shift heat load from HEN utilities using combined utility paths at different heat recovery approach temperature (HRAT) considering exchangers pressure drop. Industrial case study for HEN of the preheat train in crude oil distillation unit from the literature is used to demonstrate the approach. The obtained results have been studied economically using the cost targeting of Pinch Technology. As a result, both external energy usage and CO2 emissions have been reduced from a heater device in HEN by 20% and 17%, respectively, with a payback of less than one year.

Highlights

  • Energy demand has prompted different approaches recently due to limited energy resources as well as technical and environmental constraints

  • Heat recovery enhancement is conducted using an approach based on mathematical laws of combination to generate several options of solutions

  • The heat-shifting process is performed for different values of heat recovery approach temperature while considering the pressure drop in heat exchanger networks (HEN) devices

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Summary

Introduction

Energy demand has prompted different approaches recently due to limited energy resources as well as technical and environmental constraints. As fossil fuel sources are depleting, energy optimization and upgrades of plants have become crucial to narrow the gap between energy supply and demand. There are various strategies to achieve energy optimization in industrial processes. Research and development units in the industry are focusing on maximizing individual units’ throughputs following local and global economics. Due to operational and forecasting constraints, they are faced with challenging trade-offs. Retrofit of existing plants offers a viable alternative to overcome operational requirements

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