Pinch-Based General Targeting Method for Predicting the Optimal Capital Cost of Heat Exchanger Network

Pinch analysis is vital in optimizing heat exchanger networks (HENs). Targeting methods are used when determining cost effectiveness with pinch analysis. However, the existing targeting for capital of HEN not suitable wide application scenarios. Therefore, we developed a high-accuracy general capital-cost-targeting method. It built on final structure that was evolved from spaghetti through four loop elimination stages. This helps to reduce prediction deviation To achieve high adaptability while establishing this method, considered different categories, laws one stream pair, and area limitations exchangers may be encountered practice. In addition, allowing streams use individual temperature difference contributions enhances method’s predictive capacity. The potential defects method found numerical experiments case studies were corrected improvement measures. As result, accuracy stability further enhanced, absolute target deviations generally within 10% often 5%. study provides benchmark optimal HEN, better economic effect applying