History and Evolution of Ventilation in Cleanroom Environments: A Network Analysis Approach
Publication: Construction Research Congress 2024
ABSTRACT
Cleanroom environments demand specialized ventilation systems to uphold stringent air quality standards. This study aims to comprehensively investigate the research landscape of cleanroom ventilation and air distribution systems using a robust network analysis approach, complementing a systematic literature review. A systematic review identified relevant literature on cleanroom ventilation, forming the basis for a citation network comprising 133 papers. By employing three centrality measures (degree, betweenness, and closeness), the network analysis approach facilitates the identification of significant papers based on network characteristics. Content analysis of these influential works provided a deeper understanding of the research domain, revealing research gaps, trends, and promising opportunities for future investigations. The network analysis approach enriches our comprehension of cleanroom ventilation research by providing valuable insights into the structure and dynamics of the research community. Future researchers and practitioners can leverage these insights to make informed decisions in designing and implementing effective ventilation systems, ensuring optimal cleanroom performance. The study highlights the importance and usefulness of reference network analysis as a powerful supplement to review studies, offering a multifaceted view of the research landscape and advancing knowledge in the critical domain of cleanroom ventilation.
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REFERENCES
Bhattacharya, A., Nikoopayan Tak, M. S., Shoai-Naini, S., Betz, F., and Mousavi, E. (2023). A systematic literature review of cleanroom ventilation and air distribution systems. Aerosol and Air Quality Research.
Borgatti, S. P., Everett, M. G., and Johnson, J. C. (2018). Analyzing social networks. Sage.
Crossley, N., Bellotti, E., Edwards, G., Everett, M. G., Koskinen, J., and Tranmer, M. Social network analysis for ego-nets: Social network analysis for actor-centred networks. Sage, 2015.
ISO. (2015). ISO 14644-1:2015 Cleanrooms and associated controlled environments—Part 1: Classification of air cleanliness by particle concentration. Geneva, Switzerland: ISO.
Khoo, C. Y., Lee, C. C., and Hu, S. C. (2012). An experimental study on the influences of air change rate and free area ratio of raised-floor on cleanroom particle concentrations. Building and Environment, 48(1), 84–88. https://doi.org/10.1016/j.buildenv.2011.09.001.
Liptak, B. (1982). Envelope Control for Clean Rooms Improves Product Quality. Instruments and Control Systems, 55(9), 41–44.
Loomans, M. G. L. C., Ludlage, T. B. J., van den Oever, H., Molenaar, P. C. A., Kort, H. S. M., and Joosten, P. H. J. (2020). Experimental investigation into cleanroom contamination build-up when applying reduced ventilation and pressure hierarchy conditions as part of demand controlled filtration. Building and Environment, 176. https://doi.org/10.1016/j.buildenv.2020.106861.
Loomans, M. G. L. C., Molenaar, P. C. A., Kort, H. S. M., and Joosten, P. H. J. (2019). Energy demand reduction in pharmaceutical cleanrooms through optimization of ventilation. Energy and Buildings, 202. https://doi.org/10.1016/j.enbuild.2019.109346.
Ma, Z., Liu, X., and Zhang, T. (2021). Measurement and optimization on the energy consumption of fans in semiconductor cleanrooms. Building and Environment, 197. https://doi.org/10.1016/j.buildenv.2021.107842.
Mousavi, E., Gajjar, D., Sharma, V., and Patel, S. (2023). Use of network analysis to study regional footprint for construction coating applicators. International Journal of Construction Management, 23(6), 1021–1029.
Newman, M. (2018). Networks. Oxford university press.
Pharmacopeia, U. S. (2015). USP < 797>Pharmaceutical Compounding—Sterile Preparations.
Stanley, W., and Katherine, F. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University.
Tschudi, W., Sartor, D., Mills, E., and Xu, T. (2002). High-performance laboratories and cleanrooms. Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States).
Tschudi, W. F., and Xu, T. (2003). Cleanroom energy benchmarking results. ASHRAE Transactions, 109 PART 2, 733–739.
Wang, Y., Li, Y., and Zhou, L. (2015). Pressure Gradient Control and Energy-saving Operation Strategy Study on a Multi-zone Cleanroom. Procedia Engineering, 121, 1998–2005. https://doi.org/10.1016/j.proeng.2015.09.198.
Whyte, W. (2010). Cleanroom Technology: Fundamentals of Design, Testing, and Operation.
Whyte, W., Hejab, M., Whyte, W. M., and Green, G. (2010). Experimental and CFD airflow studies of a cleanroom with special respect to air supply inlets. International Journal of Ventilation, 9(3), 197–209. https://doi.org/10.1080/14733315.2010.11683880.
Xu, T. (2007). Characterization of minienvironments in a clean room: Design characteristics and environmental performance. Building and Environment, 42(8), 2993–3000. https://doi.org/10.1016/j.buildenv.2006.10.020.
Zhuang, C., Shan, K., and Wang, S. (2021). Coordinated demand-controlled ventilation strategy for energy-efficient operation in multi-zone cleanroom air-conditioning systems. Building and Environment, 191. https://doi.org/10.1016/j.buildenv.2021.107588.
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Construction Research Congress 2024
Pages: 138 - 148
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Published online: Mar 18, 2024
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