A knowledge-based system for low-grade waste heat recovery in the process industries
A knowledge-based system for low-grade waste heat recovery in the process industries
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DOI：
10.1016/j.applthermaleng.2015.10.103
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发表时间：
2016-02
影响因子：
6.4
通讯作者：
R. Law;A. Harvey;D. Reay
中科院分区：
文献类型：
--
作者：
R. Law;A. Harvey;D. Reay
不断上涨的能源成本，再加上日益严格的减少温室气体排放的立法，正在推动英国的流程工业提高能源效率。通过回收低品位废热，英国流程工业每年高达14 太瓦时(占总能源使用量的4%)的能源消耗被浪费在可回收的废热中，这将使该行业获得显著收益。这方面的实质性回收将产生数十亿GB/年的经济效益和每年数十万吨二氧化碳当量的环境效益。其他工业化国家也有类似的情况。本文描述了一个基于知识的系统的开发，用于流程工业中低品位余热回收设备的选择和初步设计。该系统处理常见的工厂数据，从一系列编程选项中选择最适合余热回收的技术。案例研究测试表明，该系统可以从一系列方案中成功地选择和设计可行的余热回收方案，产生经济、环境和技术上可行的设计方案。
The rising cost of energy, combined with increasingly stringent legislation to reduce greenhouse gas emissions is driving the UK process industries towards increasing energy efficiency. Significant gains can be made in this sector by recovering low-grade waste heat as up to 14 TWh per annum (4% of total energy use) of the UK process industries' energy consumption is lost asrecoverablewaste heat. Substantial recovery of this would have economic benefits of the order of £100s of million/year and environmental benefits of 100s of thousands of tonnes of carbon dioxide equivalent per year. A similar situation is envisaged in other industrialised countries.This paper describes the development of a knowledge-based system for the selection and preliminary design of equipment for low-grade waste heat recovery in the process industries. The system processes commonly available plant data to select the most appropriate technology for waste heat recovery from a range of programmed options. Case-study testing shows that the system can successfully select and design viable solutions for waste heat recovery from a range of options, producing designs which are economically, environmentally and technically feasible.