A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins
- Submitting institution
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The University of Hull
- Unit of assessment
- 12 - Engineering
- Output identifier
- 3487640
- Type
- D - Journal article
- DOI
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10.1016/j.enconman.2020.112772
- Title of journal
- Energy Conversion and Management
- Article number
- 112772
- First page
- -
- Volume
- 211
- Issue
- -
- ISSN
- 0196-8904
- Open access status
- Access exception
- Month of publication
- April
- Year of publication
- 2020
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A new integrated approach to the configuration and operation of a novel dew point cooler (DPC) is described that tailors the design for optimum performance in different climates. The base design of the new DPC already offers significant performance advantages compared to existing coolers. When optimized to particular climates, bespoke designs can provide substantial additional savings (up to 49%) in running costs and hence lead to an equivalent reduction in environmental impact.
- Author contribution statement
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- Non-English
- No
- English abstract
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