Toggle Main Menu Toggle Search

Open Access padlockePrints

A knowledge-based system for low-grade waste heat recovery in the process industries

Lookup NU author(s): Dr Richard Law, Professor Adam Harvey, Emeritus Dr David Reay



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


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 as recoverable waste heat. Substantial recovery of this would have economic benefits of the order of 100s pound 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. (C) 2015 Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Law R, Harvey A, Reay D

Publication type: Article

Publication status: Published

Journal: Applied Thermal Engineering

Year: 2016

Volume: 94

Pages: 590-599

Print publication date: 05/02/2016

Online publication date: 01/12/2015

Acceptance date: 23/10/2015

Date deposited: 25/10/2016

ISSN (print): 1359-4311

ISSN (electronic): 1873-5606

Publisher: Pergamon Press


DOI: 10.1016/j.applthermaleng.2015.10.103


Altmetrics provided by Altmetric


Funder referenceFunder name