In this article, data from a 3.5kW mini split air conditioning is presented. A screening 23 design experiment was performed to evaluate the effects of indoor air temperature, absolute humidity and evaporator fan speed in the performance of the air conditioning. This dataset also includes noise factors as outdoor air temperature, fans energy consumption and response as indoor air exit conditions.Universidad del Norte, Universidad de la Costa

Bula, Antonio

Jimenez Cabas, Javier

Ramírez, Hermes

Data in Brief

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Experimental data for an air-conditioning system identification

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Data in brief 25 (2019) 104316Contents lists available at ScienceDirectData in briefjournal homepage: www.elsevier .com/locate/dibData ArticleExperimental data for an air-conditioningsystem identificationHermes Ramírez a, *, Javier Jimenez-Cabas b, Antonio Bula aa Department of Mechanical Engineering, Universidad del Norte, Barranquilla, Colombiab Departamento de Ciencias de la Computacion y Electronica, Universidad de la Costa, Barranquilla,Colombiaa r t i c l e i n f oArticle history:Received 12 April 2019Received in revised form 12 July 2019Accepted 17 July 2019Available online 25 July 2019Keywords:Mini splitR410ADesign of experimentEnergyPsychrometryRefrigeration cycle* Corresponding author.E-mail address: hermesr@uninorte.edu.co (H. Rhttps://doi.org/10.1016/j.dib.2019.1043162352-3409/© 2019 The Author(s). Published by Ecreativecommons.org/licenses/by/4.0/).a b s t r a c tIn this article, data from a 3.5kW mini split air conditioning ispresented. A screening 23 design experiment was performed toevaluate the effects of indoor air temperature, absolute humidityand evaporator fan speed in the performance of the air condi-tioning. This dataset also includes noise factors as outdoor airtemperature, fans energy consumption and response as indoor airexit conditions.© 2019 The Author(s). Published by Elsevier Inc. This is an openaccess article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).1. DataThis paper presents the experimental data obtained from a 23 screening design experiment. Theexperiment was performed to evaluate the effects of the inlet temperature and inlet humidity of theindoor air, and evaporator fan speed on the performance of a mini split air-conditioner. The systemconsists of a 3.5kW cooling capacity mini split with inverter and a seasonal energy efficiency ratio of 17,in this system, 21 sensors were installed in order to measure refrigerant, air, and current data. Datadescribe the inlet and outlet conditions of indoor and outdoor air (temperature and relative humidity),refrigerant R410A (temperature, pressure, volumetric flow) and power consumption (current) of theamírez).lsevier Inc. This is an open access article under the CC BY license (http://Specifications TableSubject area Mechanical EngineeringMore specific subject area Refrigeration and air-conditioningType of data Excel filesHow data was acquired Experimental data obtained from a 3.5kW mini-split air-conditioning system using R410A asrefrigerant. The instrumentation used was: (10) Digital thermometers Maxim DS18B20 ( ± 0.5Caccuracy)(4) Pressure transducers Full Gauge Controls SB69 ( ± 1psig error)(3) Humidity sensors Honeywell HIH 4000 ( ± 0.5% error)(1) Liquid flow sensor McMillan FLO model 102 ( ± 1.0% error Full Scale)(3) Linear current Sensor Allegro ACS712 (1.5% error)Data format Temperature, flow and relative humidity: Raw.Pressure and power consumption: CalculatedExperimental factors Before any experimental test, electrical wires connections were checked.Experimental features The experimental tests were conducted in a 3.5kW mini-split air-conditioning system (seeFig. 1). The inlet temperature and inlet humidity of the indoor air, and evaporator fans speedwere manipulated. The following variables were measured: outlet temperature and outlethumidity of the indoor air, temperature and pressure of the refrigerant, electrical currents of thecompressor and evaporator fans, and inlet and outlet temperatures of the outdoor air.Data source location Laboratorio de Termofluidos, Universidad del Norte, Barranquilla, ColombiaData accessibility Data is with this article.Value of the data A detailed database for the steady-state response of a 3.5kWmini-split air-conditioning system in a tropical climate zone. This unique multivariate experimental design and data collection consider 3 factors that potentially influence the per-formance of a 3.5kW mini-split air-conditioning system in a tropical climate zone. The data can be used by other researchers to carry out models validations, by providing a common benchmark. This data can be used to comparing the performance of the air-conditioning system with the performance obtained inother climate zones.H. Ramírez et al. / Data in brief 25 (2019) 1043162equipment, Table 1 shows the description and location of each sensor. Each run was performed atsteady state operation for 1 hour and 45 minutes. To assure steady state, measurements started 1 hourafter the air conditioning startup or change in the air inlet conditions as recommended in ASHRAE/AHRI 210 [1] and ISO 5151 standards [2].2. Experimental design, materials and methodsFig. 1 shows the experimental test rig scheme; it is localized in the Universidad del Norte, Bar-ranquilla Colombia. Barranquilla is a tropical climate city, whose mean annual outdoor air temperatureis in the range from 24 C to 30.1 C; besides, the annual mean outdoor air relative humidity is in therange from 80 to 85%. To assure indoor air inlet conditions in the evaporator, an air hood was installedat evaporator air inlet; using an electrical heater, and/or a steam generator (depending on the situation)to maintain the inlet conditions at the accepted range during the time measurements. Table 1 showsthe description of each sensor installed in the test rig.Considering that this is not a standard test, the accuracy of each sensor is accepted as recommendedby the US Department of Engineering [3], temperature of indoor air at the evaporator inlet wasstablished in 23 C and 28 C with ±1 C as an acceptable range, which represents the typical range ofindoor air temperature in rooms and offices. In the other hand, the absolute humidity is not directlymeasured; hence, relative humidity is adapted to reach the required values. Nevertheless, the relativehumidity also depends on the air temperature, so to reach the 2 absolute humidity accepted values, 4values of relative humidity are required, in Table 2 the values are presented.The evaporator fan has 3 velocity levels and 1 auto mode; during the experimental tests, theevaporator fan speed was recorded as categorical data. Actual air speed was not measured; however,this factor was considered as it might influence results (i.e. outlet air temperature at evaporator). TwoTable 1Instrument location and reference.Reference Description Precision/AccuracyT1 Refrigerant temperature at compressor inlet ±0.5 CT2 Surface temperature of the compressor ±0.5 CT3 Refrigerant temperature at compressor outlet ±0.5 CT4 Outdoor air temperature at condenser inlet ±0.5 CT5 Outdoor air temperature at the condenser outlet ±0.5 CT6 Refrigerant temperature at condenser ±0.5 CT7 Refrigerant temperature at condenser outlet ±0.5 CT8 Surface temperature of the Capillary tube ±0.5 CT9 Indoor air temperature at the evaporator inlet ±0.5 CT10 Indoor air temperature at the evaporator outlet ±0.5 CP1 Refrigerant pressure at compressor inlet ±1 PSIgP2 Refrigerant pressure at compressor outlet ±1 PSIgP3 Refrigerant pressure at condenser outlet ±1 PSIgP4 Refrigerant pressure at DX outlet ±1 PSIgH1 Indoor air relative humidity at air hood ±0.5% errorH2 Indoor air relative humidity at the evaporator outlet ±0.5% errorH3 Indoor air relative humidity at the evaporator inlet ±0.5% errorI1 Compressor current consumption 1.5% errorI2 Condenser fan current consumption 1.5% errorI3 Evaporator fan current consumption 1.5% errorF1 Refrigerant liquid flowmeter at condenser outlet ±1.0% error Full ScaleFig. 1. Test rig experiment scheme.H. Ramírez et al. / Data in brief 25 (2019) 104316 3(2) Fan speed levels were chosen in this experiment (low-level speed and high-level speed). Based onTable 2 data, a fan level, indoor air temperature, and indoor air relative humidity level experimentaldesign was performed; to assure homogeneity in the results, the running order for the test wererandomized.Dataset is stored in an Excel file, with 16 worksheets, one for each experimental test. The firstcolumn for each worksheet shows the time elapsed between the first and the given measured data;date is not included in the data because the acquisition unit doesn't capture the date time. The data forTable 2Indoor air inlet evaporator humidity levels.Absolute humidity level (kg/kg) Relative humidity level (%) Indoor air inlet temperature (C)0.010 62 230.010 46 280.014 75 230.014 55 28Table 3Experiment running order.Run Control ParametersFan Speed Level Indoor air inlet conditionsTemperature (C) Relative Humidity (%)1 Level 1 28 462 Level 3 28 553 Level 1 23 624 Level 3 23 755 Level 3 28 466 Level 3 23 627 Level 1 23 758 Level 1 28 559 Level 1 28 4610 Level 3 28 5511 Level 1 23 6212 Level 3 23 7513 Level 3 28 4614 Level 3 23 6215 Level 1 23 7516 Level 1 28 55H. Ramírez et al. / Data in brief 25 (2019) 1043164all the 21 measurements are presented resulting in 10700 store data, a mean of 6700 data per run. Theabsolute pressure data was calculated by the addition of the gauge pressure measurement from theexperimental system and the atmospheric pressure (at sea level ¼ 14.7 PSIa).Calculated power consumption is the product of current data measure from the experimentalsystem by voltage (120V). Finally, Table 3 shows the order of the running test and the indoor air inletconditions for each test.AcknowledgmentsAuthors would like to acknowledge Universidad Del Norte and his Ph.D. Scholarship ContractIdentification Number: UN-OJ-2013-22062 and the Departamento Administrativo de Ciencia, Tecno-logía e Innovacion COLCIENCIAS Scholarship Call No 727 of 2015 for the financial support.Conflict of interestThe authors declare that they have no known competing financial interests or personal relation-ships that could have appeared to influence the work reported in this paper.Appendix A. Supplementary dataSupplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2019.104316.H. Ramírez et al. / Data in brief 25 (2019) 104316 5References[1] ANSI/AHRI, Standard, performance rating of unitary air-conditioning & air-source heat pump equipment, ANSI/AHRI Stand.2 (December, 2012), 210/240.[2] International Standard, Non-ducted Air Conditioners and Heat Pumps d Testing and Rating for Performance, vol. 2010,2010. Iso 5151.[3] D. Springer, B.D. Pe, “Measure Guideline : Air Conditioner Diagnostics , Maintenance , and Replacement,” No. March, 2013,p. 70.

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Experimental data for an air-conditioning system identification

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