Optimising heat exchanger network synthesis using convexity properties of the logarithmic mean temperature difference
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2421
- Type
- D - Journal article
- DOI
-
10.1016/j.compchemeng.2016.07.001
- Title of journal
- Computers and Chemical Engineering
- Article number
- -
- First page
- 1
- Volume
- 94
- Issue
- 10
- ISSN
- 1873-4375
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
10.1016/j.compchemeng.2016.07.001
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Efficient industrial energy consumption relies on reusing excess process heat, mathematically modelled by LMTD. We prove the LMTD convexity characteristics and then use this newly-discovered property to enable the first-ever global optimisation of a class of heat recovery network design problems. Industry uses 73% of its energy on heating and cooling. This work led to Mistry’s Best Thesis award, Misener’s AIChE "35 Under 35" award in the Innovation category and contributed to Misener’s EPSRC First Grant (EP/P008739/1; £101k).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
