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Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review
Abstract
In this paper, an attempt has been made to review the applications of artificial neural networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat pump (RACHP) systems. The studies reported are categorized into eight groups as follows: (i) vapour compression systems (ii) RACHP systems components, (iii) vapour absorption systems, (iv) prediction of refrigerant properties (v) control of RACHP systems, (vi) phase change characteristics of refrigerants, (vii) heat ventilation air conditioning (HVAC) systems and (viii) other special purpose heating and cooling applications. More than 90 published articles in this area are reviewed. Additionally, the limitations with ANN models are highlighted. This paper concludes that ANN can be successfully applied in the field of RACHP systems with acceptable accuracy.
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Cited by
Review on improvement for air source heat pump units during frosting and defrosting
Song, M., Deng, S., Dang, C., Mao, N., & Wang, Z. (2018) · Applied Energy · doi:10.1016/j.apenergy.2017.12.022 · Cited by 384
Cai, B., Liu, Y., Fan, Q., Zhang, Y., Liu, Z., Yu, S., & Ji, R. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.09.043 · Cited by 329
Liu, Z., Sun, Y., Xing, C., Liu, J., He, Y., Zhou, Y., & Zhang, G. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100195 · Cited by 288
Developing a new frosting map to guide defrosting control for air-source heat pump units
Zhu, J. H., Sun, Y. Y., Wang, W., Deng, S. M., Ge, Y. J., & Li, L. T. (2015) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2015.06.076 · Cited by 127
Patil, M. S., Seo, J.-H., & Lee, M.-Y. (2017) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2016.11.107 · Cited by 86
Metadata
- Authors
- Mohanraj, M., Jayaraj, S., & Muraleedharan, C.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 16
- Issue
- 2
- Pages
- 1340-1358
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W1977596813
- Cited by
- 419
- References
- 0
- FWCI
- 17.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mohanraj, M., Jayaraj, S., & Muraleedharan, C. (2012). Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2011.10.015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
