{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T17:21:43Z","timestamp":1764350503344,"version":"build-2065373602"},"reference-count":49,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T00:00:00Z","timestamp":1568332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/EMS\/00667\/2019","UID\/EMS\/00151\/2013"],"award-info":[{"award-number":["UID\/EMS\/00667\/2019","UID\/EMS\/00151\/2013"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>In recent years, reducing energy consumption has been relentlessly pursued by researchers and policy makers with the purpose of achieving a more sustainable future. The demand for data storage in data centers has been steadily increasing, leading to an increase in size and therefore to consume more energy. Consequently, the reduction of the energy consumption of data center rooms is required and it is with this perspective that this paper is proposed. By using Computational Fluid Dynamics (CFD), it is possible to model a three-dimensional model of the heat transfer and air flow in data centers, which allows forecasting the air speed and temperature range under diverse conditions of operation. In this paper, a CFD study of the thermal performance and airflow in a real data center processing room with 208 racks under different thermal loads and airflow velocities is proposed. The physical-mathematical model relies on the equations of mass, momentum and energy conservation. The fluid in this study is air and it is modeled as an ideal gas with constant properties. The model of the effect of turbulence is made by employing a k\u2013\u03b5 standard model. The results indicate that it is possible to reduce the thermal load of the server racks by improving the thermal performance and airflow of the data center room, without affecting the correct operation of the server racks located in the sensible regions of the room.<\/jats:p>","DOI":"10.3390\/app9183850","type":"journal-article","created":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T10:32:41Z","timestamp":1568370761000},"page":"3850","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Parametric Numerical Study of the Airflow and Thermal Performance in a Real Data Center for Improving Sustainability"],"prefix":"10.3390","volume":"9","author":[{"given":"Diogo","family":"Macedo","sequence":"first","affiliation":[{"name":"Department of Electromechanical Engineering, Engineering Faculty, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1244-5624","authenticated-orcid":false,"given":"Radu","family":"Godina","sequence":"additional","affiliation":[{"name":"UNIDEMI\u2014Department of Mechanical and Industrial Engineering, Faculty of Science and Technology (FCT), Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1691-1709","authenticated-orcid":false,"given":"Pedro","family":"Dinis Gaspar","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, Engineering Faculty, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"},{"name":"C-MAST\u2014Center for Mechanical and Aerospace Science and Technologies\u2014Department of Electromechanical Engineering, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2204-3397","authenticated-orcid":false,"given":"Pedro","family":"da Silva","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, Engineering Faculty, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"},{"name":"C-MAST\u2014Center for Mechanical and Aerospace Science and Technologies\u2014Department of Electromechanical Engineering, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"given":"Miguel","family":"Trigueiros Covas","sequence":"additional","affiliation":[{"name":"ALTICE\/MEO\u2014Servi\u00e7os de Comunica\u00e7\u00f5es e Multim\u00e9dia, SA, Quinta Grila DATACENTER, 6200-292 Covilh\u00e3, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.jclepro.2019.02.061","article-title":"Thermoeconomic and environmental feasibility of waste heat recovery of a data center using air source heat pump","volume":"219","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3535","DOI":"10.1007\/s13369-017-2580-5","article-title":"A Heuristic-Based Approach for Dynamic VMs Consolidation in Cloud Data Centers","volume":"42","author":"Abdullah","year":"2017","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ni, J., Jin, B., Zhang, B., and Wang, X. (2017). Simulation of Thermal Distribution and Airflow for Efficient Energy Consumption in a Small Data Centers. Sustainability, 9.","DOI":"10.3390\/su9040664"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.scs.2017.03.008","article-title":"Economic analysis of data center cooling strategies","volume":"31","author":"Cho","year":"2017","journal-title":"Sustain. Cities Soc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.scs.2018.10.023","article-title":"Waste heat from data centers: An investment analysis","volume":"44","author":"Wahlroos","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"7789","DOI":"10.1007\/s13369-018-3196-0","article-title":"Modeling and Analysis of Performance and Energy Consumption in Cloud Data Centers","volume":"43","author":"Salah","year":"2018","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.future.2018.03.049","article-title":"Green IT scheduling for data center powered with renewable energy","volume":"86","author":"Grange","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.comnet.2018.08.004","article-title":"Dynamic allocation of power delivery paths in consolidated data centers based on adaptive UPS switching","volume":"144","author":"Peng","year":"2018","journal-title":"Comput. Netw."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.eswa.2018.06.007","article-title":"Energy policies for data-center monolithic schedulers","volume":"110","author":"Ortega","year":"2018","journal-title":"Expert Syst. Appl."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1016\/j.applthermaleng.2017.06.066","article-title":"Energy and exergy assessment in a perimeter cooled data center: The value of second law efficiency","volume":"124","author":"Cardemil","year":"2017","journal-title":"Appl. Therm. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1016\/j.scs.2018.12.012","article-title":"Waste heat recovery from urban air cooled data centres to increase energy efficiency of district heating networks","volume":"45","author":"Taddeo","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jclepro.2016.12.143","article-title":"Consideration of marginal electricity in real-time minimization of distributed data centre emissions","volume":"143","author":"Dandres","year":"2017","journal-title":"J. Clean. Prod."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3390\/challe6010117","article-title":"On Global Electricity Usage of Communication Technology: Trends to 2030","volume":"6","author":"Andrae","year":"2015","journal-title":"Challenges"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.enbuild.2018.08.050","article-title":"A review on airflow distribution and management in data center","volume":"179","author":"Lu","year":"2018","journal-title":"Energy Build."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.applthermaleng.2015.12.020","article-title":"Numerical investigation and parametric study for thermal and energy management enhancements in data centers\u2019 buildings","volume":"98","author":"Nada","year":"2016","journal-title":"Appl. Therm. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.rser.2015.12.283","article-title":"Optimizing energy consumption for data centers","volume":"58","author":"Rong","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.scs.2017.10.012","article-title":"Design and economic analysis of liquid cooled data centres for waste heat recovery: A case study for an indoor swimming pool","volume":"36","author":"Allepuz","year":"2018","journal-title":"Sustain. Cities Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1016\/j.applthermaleng.2016.08.097","article-title":"Experimental study of solving thermal heterogeneity problem of data center servers","volume":"109","author":"Nada","year":"2016","journal-title":"Appl. Therm. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2279","DOI":"10.1016\/j.applthermaleng.2011.03.025","article-title":"Cooling solutions in an operational data centre: A case study","volume":"31","author":"Fakhim","year":"2011","journal-title":"Appl. Therm. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Qiao, J., Zhao, X., Pan, L., Zuo, X., Zhang, X., Zhang, Q., and Huang, S. (2018). Model Predictive Control of Data Center Temperature Based on CFD. Bio-inspired Computing: Theories and Applications, Springer.","DOI":"10.1007\/978-981-13-2826-8"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Saha, A.K., Das, D., Srivastava, R., Panigrahi, P.K., and Muralidhar, K. (2017). CFD Simulation Studies of High Performance Computing (HPC) Facilities. Fluid Mechanics and Fluid Power\u2014Contemporary Research, Springer.","DOI":"10.1007\/978-81-322-2743-4"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wibron, E., Ljung, A.-L., and Lundstr\u00f6m, T.S. (2018). Computational Fluid Dynamics Modeling and Validating Experiments of Airflow in a Data Center. Energies, 11.","DOI":"10.3390\/en11030644"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1016\/j.apenergy.2017.08.037","article-title":"A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system","volume":"205","author":"Halgamuge","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.applthermaleng.2018.07.004","article-title":"Recent advancements on thermal management and evaluation for data centers","volume":"142","author":"Zhang","year":"2018","journal-title":"Appl. Therm. Eng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/bs.aiht.2018.07.001","article-title":"Chapter Three\u2014Thermal Modeling of Data Centers for Control and Energy Usage Optimization","volume":"Volume 50","author":"Sparrow","year":"2018","journal-title":"Advances in Heat Transfer"},{"key":"ref_26","first-page":"14","article-title":"A review of thermal management and innovative cooling strategies for data center","volume":"19","author":"Nadjahi","year":"2018","journal-title":"Sustain. Comput. Inform. Syst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5306","DOI":"10.1016\/j.ijheatmasstransfer.2011.08.012","article-title":"Heat transfer modeling in data centers","volume":"54","author":"Hamann","year":"2011","journal-title":"Int. J. Heat Mass Transf."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.apenergy.2011.02.003","article-title":"Computational fluid dynamic investigation of liquid rack cooling in data centres","volume":"89","author":"Almoli","year":"2012","journal-title":"Appl. Energy"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1016\/j.applthermaleng.2016.03.157","article-title":"Thermal performance of a contained data center with fan-assisted perforations","volume":"102","author":"Song","year":"2016","journal-title":"Appl. Therm. Eng."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.ijthermalsci.2017.09.001","article-title":"Comprehensive study on the effects of plenum depths on air flow and thermal managements in data centers","volume":"122","author":"Nada","year":"2017","journal-title":"Int. J. Therm. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1016\/j.applthermaleng.2018.10.137","article-title":"Evaluation metrics of thermal management in data centers based on exergy analysis","volume":"147","author":"Xie","year":"2019","journal-title":"Appl. Therm. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1016\/j.aej.2016.02.025","article-title":"CFD investigations of data centers\u2019 thermal performance for different configurations of CRACs units and aisles separation","volume":"55","author":"Nada","year":"2016","journal-title":"Alex. Eng. J."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.jobe.2018.10.031","article-title":"Experimental investigation on thermal management for small container data center","volume":"21","author":"Chu","year":"2019","journal-title":"J. Build. Eng."},{"key":"ref_34","first-page":"324","article-title":"Simulator for modeling, analysis, and visualizations of thermal status in data centers","volume":"19","author":"Ullah","year":"2018","journal-title":"Sustain. Comput. Inform. Syst."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.applthermaleng.2017.03.003","article-title":"Effect of CRAC units layout on thermal management of data center","volume":"118","author":"Nada","year":"2017","journal-title":"Appl. Therm. Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1016\/j.ijheatmasstransfer.2017.04.022","article-title":"Studying the fan-assisted cooling using the Taguchi approach in open and closed data centers","volume":"111","author":"Song","year":"2017","journal-title":"Int. J. Heat Mass Transf."},{"key":"ref_37","unstructured":"Pritchard, P.J. (2011). Fox and McDonald\u2019s Introduction to Fluid Mechanics, Wiley. [8th ed.]. Binder Ready Version Edition."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1016\/j.tifs.2006.05.004","article-title":"Computational fluid dynamics (CFD)\u2014An effective and efficient design and analysis tool for the food industry: A review","volume":"17","author":"Norton","year":"2006","journal-title":"Trends Food Sci. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1016\/j.enbuild.2009.05.017","article-title":"Measurements and predictions of the air distribution systems in high compute density (Internet) data centers","volume":"41","author":"Cho","year":"2009","journal-title":"Energy Build."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Alkharabsheh, S., Fernandes, J., Gebrehiwot, B., Agonafer, D., Ghose, K., Ortega, A., Joshi, Y., and Sammakia, B. (2015). A Brief Overview of Recent Developments in Thermal Management in Data Centers. J. Electron. Packag., 137.","DOI":"10.1115\/1.4031326"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/S0140-7007(99)00043-2","article-title":"Analysis of the air flow in a cold store by means of computational fluid dynamics","volume":"23","author":"Hoang","year":"2000","journal-title":"Int. J. Refrig."},{"key":"ref_42","unstructured":"Patankar, S. (1980). Numerical Heat Transfer and Fluid Flow, CRC Press. [1st ed.]."},{"key":"ref_43","first-page":"147","article-title":"Enhancements of the Simple Method for Predicting Incompressible Fluid Flows","volume":"7","author":"Doormaal","year":"1984","journal-title":"Numer. Heat Transf."},{"key":"ref_44","unstructured":"North, T. (2011). Understanding How Cabinet Door Perforation Impacts Airflow. BICSI News Mag., 36\u201342."},{"key":"ref_45","unstructured":"(2011). Ansys Fluent 14.0: Users Guide, ANSYS, Inc.. Release 14.0."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1016\/j.applthermaleng.2010.11.020","article-title":"Experimental analysis of the thermal entrainment factor of air curtains in vertical open display cabinets for different ambient air conditions","volume":"31","author":"Gaspar","year":"2011","journal-title":"Appl. Therm. Eng."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Gaspar, P.D., Gon\u00e7alves, L.C.C., and Pitarma, R.A. (2019, January 22). Detailed CFD Modelling of Open Refrigerated Display Cabinets. Available online: https:\/\/www.hindawi.com\/journals\/mse\/2012\/973601\/.","DOI":"10.1155\/2012\/973601"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Gaspar, P.D., Carrilho Gon\u00e7alves, L.C., and Pitarma, R.A. (2019, January 22). CFD Parametric Studies for Global Performance Improvement of Open Refrigerated Display Cabinets. Available online: https:\/\/www.hindawi.com\/journals\/mse\/2012\/867820\/.","DOI":"10.1155\/2012\/867820"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.applthermaleng.2016.11.046","article-title":"3D and transient numerical modelling of door opening and closing processes and its influence on thermal performance of cold rooms","volume":"113","author":"Carneiro","year":"2017","journal-title":"Appl. Therm. Eng."}],"container-title":["Applied Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3417\/9\/18\/3850\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:19:55Z","timestamp":1760188795000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3417\/9\/18\/3850"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,13]]},"references-count":49,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2019,9]]}},"alternative-id":["app9183850"],"URL":"https:\/\/doi.org\/10.3390\/app9183850","relation":{},"ISSN":["2076-3417"],"issn-type":[{"type":"electronic","value":"2076-3417"}],"subject":[],"published":{"date-parts":[[2019,9,13]]}}}