Literature DB >> 31687450

Dataset on performance of solar powered agricultural produce cooling storage system under tropical conditions.

S O Oyedepo1, J A Omoleye2, O Kilanko1, C S Ejike1, B F Bolarinwa-Odunayo1, U Idemili1, G Odewole1.   

Abstract

Much of the post-harvest loss of agricultural produce in developing countries is due to lack of proper storage facilities. Agricultural produce such as peppers, tomatoes and fruits are highly perishable in nature; thus, maintaining the optimal air conditions inside the storage cabinet helps extending their shelf lives. The datasets contained in this paper are performance test carried out on agricultural produce cooling storage system under tropical conditions for various cooling pads (jute fibre) thickness and under no load and load conditions. The parameters recorded under these conditions include wet and dry bulb temperatures, relative humidity of the surroundings, relative humidity and temperature within the cooling chamber taken consecutively for 4 days with different pad thickness and for 5 days and 8days under no load and load conditions, respectively. Results obtained show that pad thickness of 80 mm has the highest cooling efficiency of 84.7% and temperature within the cooling chamber was found dropped to 25 °C and average relative humidity of cooling chamber increased to 82.4% as compared to 64.8% for ambient condition.
© 2019 The Author(s).

Entities:  

Keywords:  Ambient temperature; Cooling chamber; Evaporative cooling system; Relative humidity; Wet bulb temperature

Year:  2019        PMID: 31687450      PMCID: PMC6820106          DOI: 10.1016/j.dib.2019.104649

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table The given dataset can be used to provide information on the storage temperature, humidity requirements and the length of time agricultural produce can be kept without a decline in market value. The cooling efficiency calculated can be used for benchmarking performance of such cooling storage in another location under similar condition. The given dataset can be used to assess the impact of the cooling system on the stored agricultural produce. The given data will show researchers in the field of energy management and sustainable development the potential of solar PV to power cooling storage system especially in developing countries where access to electricity is limited.

Data

The temperatures and humidity of cooling chamber and surrounding were collected and a set of experimental data was generated. Tests were first carried out on different cooling pad thicknesses ranged from 20 mm to 80 mm purposely to determine which thickness gives highest cooling efficiency (Table 1, Table 2, Table 3, Table 4). After which, no load and load tests were carried out on the designed post harvested agricultural produce cooling storage system at every 30 minutes through a period of 8 hours for 5 days (no load tests) and 8 days (load tests).
Table 1

Experimental Data for cooling pad thickness of 20 mm.

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
035.863.7352963.5
3029.778332868.5
6030.277.7342863
9030.277.2332762.5
12029.878342758
15029.878.5352858.5
18030.278.1332762.5
2103078.1332868.5
2403078.5332868.5
27029.976.7342969
3003076.3332762.5
33029.878.3362854
36028.679.5342863
39028.280.3332657
4202881.5312774.5
45027.782.3312774.5
48027.383.1292678.5

Key: Tc – Temperature of cooling chamber, R.HC – Relative humidity of cooling chamber, DBT – Dry bulb temperature, WBT – Wet bulb temperature, R.HA – Relative humidity of the surroundings.

Table 2

Experimental data for cooling pad thickness of 40 mm.

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
034.963352858.5
3029.576.2352753.5
602978.3342758
9029.477.5362854
12029.877.6342758
15029.978.5372850.5
18029.877.1392947.5
21030.375.9382951
24030.874.2352858.5
27031.174.7372955
30029.776.7352858.5
33029.377342758
36028.578.2332657
39028.379.5332657
42028.180.3332762.5
45027.681312667.5
48027.282.2302673
Table 3

Experimental data for cooling pad thickness of 60 mm.

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
031.766.4312661.5
3029.480.1312773.5
6029.281.4322768
9029.182.2342863
12028.982.6342863
15029.283.1393051.5
18029.283.5393051.5
21029.483.5403048
24029.583.6383056
27029.383.5362959
30028.984.3332763.5
33028.684.2322768
36028.283.7312773.5
3902884.1312667.5
42027.784.8292678.5
45027.484.8292678.5
48027.185.5282578
Table 4

Experimental data for cooling pad thickness of 80 mm.

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
030.464.3302963
3025.479.3322970
6026.280.7322874
9026.880.4332868.5
12027.679.3342758
15028.176.8302673
18027.978.1342653
21027.778.9322768
24027.280.1332762.5
2702780332657
30026.680.4362750
33026.380.3332762.5
36026.280.7302673
3902780292566
42027.280.1292678.5
45027.682.3272575
48028.186.8282578
Average27.379.331.526.766.5
Experimental Data for cooling pad thickness of 20 mm. Key: Tc – Temperature of cooling chamber, R.HC – Relative humidity of cooling chamber, DBT – Dry bulb temperature, WBT – Wet bulb temperature, R.HA – Relative humidity of the surroundings. Experimental data for cooling pad thickness of 40 mm. Experimental data for cooling pad thickness of 60 mm. Experimental data for cooling pad thickness of 80 mm.

Experimental design, materials and methods

A 500 mm × 500 mm × 500 mm (Length x depth x width) postharvest agricultural produce cooling storage system was designed and constructed as shown in Fig. 1. The cooling system basically consists of a cubical shaped storage chamber, a cooling fan, and a cooling pad. The cubical shaped cooling chamber was of dimension 0.125 m³ made of aluminum on the inside and galvanized mild steel on the outside, it is internally insulated with polystyrene to prevent heat exchange with the environment, a cooling fan and a porous cooling pad made from jute fiber and a submersible pump of 50 W power rating having a flow rate of 240l/hr and a maximum static head of 3 m. A water reservoir of capacity 20 l, at the top of the cooling system transferring water being pumped through a piping system to the cooling pad to keep it continually wet. The system relies solely on the concept of cooling by evaporation [[1], [2], [3]], when the system is set up and is under operation, the dry air from the cooling fan goes directly to the wet surface of the cooling pad and evaporates the water present in the pad, thus drawing energy from its surroundings to produce cooling effect into the cooling chamber [4,5].
Fig. 1

Solar powered vegetable & fruit storage system.

Solar powered vegetable & fruit storage system. In this study, Floureon RC- 4HC Data logger device was used measure the internal temperature and humidity of cooling chamber. The data logger was set to record data at every 30 minutes through a period readings were taken. Floureon RC-4HC temperature and humidity data logger when connected to computer, the software reads data automatically, and form reports. It has LCD screen which display the temperature, time, temperature upper/lower limit and maximum/minimum temperature. There are two sensors – internal and external used to record temperature over a long time. Temperature measuring range from −30 °C to +60 °C with accuracy of ±0.6 °C. Humidity range from 0 to 99% RH with accuracy of ±3%RH. Record capacity is RC-4HC 16000 points (MAX) while record interval is from 10 s to 24hours adjustable. The wet bulb and dry bulb temperatures of the surrounding were measured using wet bulb and dry bulb hygrometer alongside with psychometric chart. Digital anemometer was used to determine the air velocity entering into system. Cooling efficiency of the cooling storage system was calculated using different jute fiber pads of different thicknesses based on the established formula given as [6,7]:where: Tdb = ambient air dry bulb temperature in °C. Twb = ambient air wet bulb temperature in °C. Tc = dry bulb temperature of the cooler in °C. The computed cooling efficiencies under no load condition for 20 mm, 40 mm, 60 mm and 80 mm cooling pads are 61.4%; 72.2%; 82.4% and 84.7%, respectively. Analysis displaying the data for a cooling pad of thickness 80 mm are shown in Fig. 2, Fig. 3.
Fig. 2

Relative humidity readings for pad thickness of 80 mm.

Fig. 3

Temperature readings for pad thickness 80 mm.

Relative humidity readings for pad thickness of 80 mm. Temperature readings for pad thickness 80 mm. Cooling pad of thickness 80 mm was used to examine performance of the storage cooling system under no load and load conditions for 5 days and 8 days, respectively (Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12, Table 13, Table 14, Table 15, Table 16, Table 17).
Table 5

Experimental data for cooling storage under no load condition (Day 1).

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
034.163.9342758
302773.3342653
602875.9352753.5
9026.675.9342653
12027.775.1342758
15026.475332657
18027.677342758
21026.273.9342653
24025.972.6332552
27026.472.7342653
30027.170.5352649
3302776352649
36027.877332762.5
39026.677.2332657
42026.977.6322662
45025.977.6322556
48025.875.9312555.5
Table 6

Experimental data for cooling storage under No load condition (Day 2).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
035.864.5343163.5
3029.771.8333068.5
6030.273.1333063
9030.272.2322962.5
12029.872.2332974.1
15029.873.0343258.5
18030.273.5343162.5
2103074.1343168.5
2403074.7323068.5
27029.975.1322869
3003075.6322962.5
33029.876302754
36028.676312763
39028.276.3302757
4202876.8302874.5
45027.776.8292774.5
48027.377.2292678.5
Average29.774.3312874.1
Table 7

Experimental data for cooling storage under No load condition (Day 3).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
032.669.9332868.5
3029.280.5342863
6029.181.8332762.5
9028.881.7342863
12027.879.3332762.5
15026.181.6312667.5
18025.783.6302567
21025.584.4272477.5
24025.384.7272477.5
27025.285.1272477.5
3002585.1282578
3302585.5272477.5
36024.985.4272477.5
39024.885.9272477.5
42024.885.8272477.5
45024.785.8272477.5
48024.786.8262485
Average26.483.127.825.372.8
Table 8

Experimental data for cooling storage under No load condition (Day 4).

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
034.963352858.5
3029.576.2352753.5
602978.3342758
9029.477.5362854
12029.877.6342758
15029.978.5372850.5
18029.877.1392947.5
21030.375.9382951
24030.874.2352858.5
27031.174.7372955
30029.776.7352858.5
33029.377342758
36028.578.2332657
39028.379.5332657
42028.180.3332762.5
45027.681312667.5
48027.282.2302673
Table 9

Experimental data for cooling storage under No load condition (Day 5).

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
035.863.7352963.5
3029.778332868.5
6030.277.7342863
9030.277.2332762.5
12029.878342758
15029.878.5352858.5
18030.278.1332762.5
2103078.1332868.5
2403078.5332868.5
27029.976.7342969
3003076.3332762.5
33029.878.3362854
36028.679.5342863
39028.280.3332657
4202881.5312774.5
45027.782.3312774.5
48027.383.1292678.5
Table 10

Experimental data for cooling storage under load condition (Day 1).

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
033.658.3323058
3031.167.3323053
603169.1333153.5
9030.568.1313053
12030.470323058
15031.269.7312957
18030.371.3312956
21029.673.5302853
24029.273.9302952
27028.875.6302853
30028.679.1292849
33028.480.8292749
36028.381.4292862.5
39028.381.9292857
42028.282.6282962
45028.083.4282756
48027.783.8282755.5
Table 11

Experimental data for cooling storage under load condition (Day 2).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
03269.3333168.5
3031.673.6343163
6030.174.1333162.5
9029.873.2333063
12029.874.1322962.5
15029.574.6312867.5
18029.178302767
21029.179.3282777.5
24028.780.1282677.5
27028.680.9282677.5
3002881.7292778
33027.682282877.5
36027.282.5282777.5
39026.983.3282777.5
42026.585282677.5
4502685.6282577.5
48025.886272579
Table 12

Experimental data for cooling storage under load condition (Day 3).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
031.865.5302761.5
3027.574302673.5
6026.576312668
9025.978.1292663
12025.581292563
15025.382.7282551.5
18025.483.1282551.5
21025.584282548
24025.685.2272556
27025.586292659
30025.586.4282563.5
33025.486.8292668
36025.487.8292573.5
39025.487.2282467.5
42025.687.6282478.5
45025.787.6282578.5
48025.587.2272478
Table 13

Experimental data for cooling storage under load condition (Day 4).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
030.574.1332865
3027.180.5312772.4
6027.282.2322764
9027.482.2302769.6
12027.382.3302661.2
15027.482.7292652.4
18027.283.9292652.4
2102783.9292650
24026.784.7282655
27026.285302758
30025.985.7292664.1
33025.686.1302768
36025.686.4302672.5
39025.386.7302566
42025.287292579
4502587.2292674
48024.887.6282573.2
Table 14

Experimental data for cooling storage under load condition (Day 5).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
031.370.2332793
3028.472312680
602875.6322674
9027.276.1302668.5
12027.176.7302558
15026.778.6292673
18026.280.4292553
21025.882.1292568
24025.684.6282562.5
27025.586.2302657
30025.287.5292550
33025.187.5292662.5
3602587.5292573
39024.987.9282466
42024.888.2282478.5
45024.788.2282585
48024.788.2272478
Table 15

Experimental data for cooling storage under load condition (Day 6).

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
030.863.9333163
302973.3323067
602975.9312968
9028.675.9312972
12028.476302856
15028.278302856
1802878312864
21027.579292768
24027.480292756
27026.980.5302668
30026.381.3292652
33026.487.5312668
36026.487.5302573.5
39026.187.9292467.5
42025.988.2292478.5
45025.588.2272578.5
48025.588.2282478
Table 16

Experimental data for cooling storage under load condition (Day 7).

Time (Mins.)TC (°C)R.HC (%)DBT (°C)WBT (°C)R.HA (%)
033.681292858.3
3031.180312867.3
603173312769.1
9030.272.2322768.5
12029.872.2332657.2
15029.873.0292572.2
18028.377.1342758
2102784.3332762.6
24026.884.6342863.2
27026.785.5332762.6
30026.585.4322758
33026.485.9312773.2
36026.486.4302673
39026.186.8292566
42025.987.2292678.5
45025.687.3272585
48025.587.3282578
Table 17

Experimental data for cooling storage under load condition (Day 8).

Time (30 mins)TC (°C)RHC (%)DBT (oC)WBT (°C)RHA (%)
032.886323065.2
3030.877.6322873.7
6029.780.4322767.7
9029.680.7332762.6
1202979.3332868.3
15028.680322976.8
18028.378.1332974.1
21028.179.5312862.6
24027.880.1302763.2
27027.780.2302762.6
30027.180.4292572
3302780.8302672.7
36026.581.2292678
39026.282.4292572.7
42025.883.7292678
45025.587.3272578.5
48024.687.3282478
Experimental data for cooling storage under no load condition (Day 1). Experimental data for cooling storage under No load condition (Day 2). Experimental data for cooling storage under No load condition (Day 3). Experimental data for cooling storage under No load condition (Day 4). Experimental data for cooling storage under No load condition (Day 5). Experimental data for cooling storage under load condition (Day 1). Experimental data for cooling storage under load condition (Day 2). Experimental data for cooling storage under load condition (Day 3). Experimental data for cooling storage under load condition (Day 4). Experimental data for cooling storage under load condition (Day 5). Experimental data for cooling storage under load condition (Day 6). Experimental data for cooling storage under load condition (Day 7). Experimental data for cooling storage under load condition (Day 8). Table 18 presents computed cooling efficiency of the storage cooling system for the period of 8 days under loading condition. The highest cooling efficiency (91.1%) was recorded on the 5th day of the experiment (see Table 18).
Table 18

Computed cooling efficiency under load condition.

DaysCooling Efficiency (%)
147.06
255
372.7
488.5
591.1
650
762.2
867.7
Computed cooling efficiency under load condition. Fig. 4 shows loaded agricultural postharvest storage cooling system after 8 days during the experiment.
Fig. 4

Loaded Agricultural Produce Postharvest Storage System showing the experimental set up.

Loaded Agricultural Produce Postharvest Storage System showing the experimental set up. From this study, it was observed that: The drop in temperature of cooling cabinet of the storage system was relatively high during hot and sunny conditions and relatively low smaller under cloudy and rainy conditions. Increase in air flow rate enhances the rate of evaporation efficiently. The agricultural produce (tomatoes, okra and pepper) kept in cooling chamber of agricultural cooling storage system maintained their freshness and firmness after 8 days in comparison to those kept under ambient air conditions.

Specifications Table

Subject AreaEngineering
More Specific Subject areaMechanical Engineering, Heat transfer and Thermo- fluid Engineering
Type of DataTables, Figures and graphs
How Data was AcquiredThe internal temperature and humidity of cooling chamber were measured using Floureon RC-4HC Data logger device. The data logger was set to record data at every 30 minutes through a period of 8 hours for 8 days. RC-4HC temperature and humidity data logger when connected to computer, the software reads data automatically, and form reports. It has LCD screen which display the temperature, time, over temperature alarm, temperature upper/lower limit and maximum/minimum temperature. There are two sensors – internal and external used to record temperature over a long time. Temperature measuring range from -30 °C to +60 °C with accuracy of ±0.6 °C. Humidity range from 0 to 99% RH with accuracy of ±3% RH. Record capacity is RC-4HC 16000 points (MAX) while record interval is from 10 s to 24 h adjustable. The wet bulb and dry bulb temperatures of the surrounding were measured using wet bulb and dry bulb hygrometer alongside with psychometric chart. Digital anemometer was used to determine the air velocity entering into system.
Data FormatRaw and analysed
Experimental FactorPerformance of the cooling storage system was determined from wet bulb and dry bulb temperatures readings taken under no load and load conditions with different pad thickness varied from 20 mm to 80 mm.
Experimental FeatureTests were first carried out on different cooling pad thicknesses ranged from 20 mm to 80 mm purposely to determine which thickness gives highest cooling efficiency. After which, load and no load tests were carried out on the designed post harvested agricultural produce cooling storage system at every 30 minutes through a period of 8 hours for 8 days.
Data source locationDepartment of Mechanical Engineering, Covenant University, Ota, Nigeria
Data AccessibilityData are available within this article
Value of the Data

The given dataset can be used to provide information on the storage temperature, humidity requirements and the length of time agricultural produce can be kept without a decline in market value.

The cooling efficiency calculated can be used for benchmarking performance of such cooling storage in another location under similar condition.

The given dataset can be used to assess the impact of the cooling system on the stored agricultural produce.

The given data will show researchers in the field of energy management and sustainable development the potential of solar PV to power cooling storage system especially in developing countries where access to electricity is limited.

  1 in total

1.  Data on the no-load performance analysis of a tomato postharvest storage system.

Authors:  Orhewere B Ayomide; Oluseyi O Ajayi; Solomon O Banjo; Adesola A Ajayi
Journal:  Data Brief       Date:  2017-07-01
  1 in total

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