Design and parameter optimization of community bins based on evaporative cooling

Figures & data

Figure 1. Schematic diagram of air flow direction.

Figure 2. Schematic diagram of community bins structure.

Table 1. Size of community bins and fan-pad systems.

Items	Units	Plan 1	Plan 2	Plan 3
Community bin	Length/mm	850	1650	2460
	Wide/mm	840	1050	1250
	Height/mm	1500	1500	1500
Wet curtain	Length/mm	500	500	700
	Width/mm	200	400	500
	Thickness/mm	100	100	100
Fan	Diameter/mm	200	300	500

Table 2. Cooling system parameters of community bins.

Items	Plan 1	Plan 2	Plan 3
Greenhouse cooling load $\mathrm{\Phi }$/W	663.59	1536.64	2702.26
Air intake of the system $Qws$/(m^3/h)	386.56	895.13	1574.13
The exhaust air volume of the system $Qfs$/(m^3/h)	405.88	1613.47	2837.37

Table 3. Disposition scheme of community bins in residential area.

Floors	Kitchen trash can storage bin configuration
	Plan 1	Plan 2	Plan 3
6	0.6	0.3	0.2
10	1	0.5	0.35
18	1.5	0.75	0.5

Table 4. The ratio of cost and water consumption of the three plans of community bins.

Items	Plan 1	Plan 2	Plan 3
Ratio of garbage capacity	1	2	3
Ratio of evaporated water consumption	1	4	7
Ratio of community bins surface area	1	1.78	2.66

Table 5. Simulation parameters table.

Parameters	Values
Simulated state	Steady state
Turbulence model	Standard k-ε
Density of air/(kg $\cdot$ m^−3)	1.225
Dynamic viscosity of air/kg $\cdot$ m^−1 $\cdot$ s^−1	1.83 $\times$ 10^−5
Temperature of wet curtain inlet/°C	23
Relative atmospheric pressure at the wet curtain inlet/Pa	0
Exit velocity/(m/s)	2.5

Figure 3. Schematic diagram of model influencing factors.

Table 6. Test factors and levels.

Level	Factors
	Wet curtain installation height (h1/mm)	Fan installation height (h2/mm)	Distance between trash can and wet curtain (d/mm)
−1	250	500	50
0	500	600	75
1	750	700	100

Figure 4. Distribution of temperature measuring points.

Table 7. Schemes of experimental design.

Test number	Installation height of wet curtain h1/mm	Installation height of fan h2/mm	Distance between trash can and wet curtain d/mm	Average temperature T/°C
1	250	500	75	25.42
2	750	500	75	25.01
3	250	700	75	25.12
4	750	700	75	25.16
5	250	600	50	25.21
6	750	600	50	24.95
7	250	600	100	25.25
8	750	600	100	25.14
9	500	500	50	25.05
10	500	700	50	24.92
11	500	500	100	25.11
12	500	700	100	25.13
13	500	600	75	24.69
14	500	600	75	24.75
15	500	600	75	24.71
16	500	600	75	24.67
17	500	600	75	24.68

Table 8. Results of ANOVA.

Factor	Sum of squares	Freedom	Mean square	F-value	P-value
Model	0.8326	9	0.0925	147.19	< 0.0001
A	0.0684	1	0.0684	108.90	< 0.0001
B	0.0084	1	0.0084	13.44	0.0080
C	0.0312	1	0.0312	49.72	0.0002
AB	0.0506	1	0.0506	80.54	< 0.0001
AC	0.0056	1	0.0056	8.95	0.0202
BC	0.0056	1	0.0056	8.95	0.0202
A^2	0.3331	1	0.3331	529.87	< 0.0001
B^2	0.1622	1	0.1622	257.99	< 0.0001
C^2	0.1028	1	0.1028	163.54	< 0.0001
Residual	0.0044	7	0.0006
Lack of Fit	0.0004	3	0.0001	0.1333	0.9352
Pure Error	0.0040	4	0.0010
Cor Total	0.8370	16

Note:P < 0.01: Very significant<0.05: Significant.

Figure 5. Response surface diagram of interaction between different factors.

Figure 6. Temperature simulation value and error bar diagram of temperature measuring point.

Figure 7. Cloud map of temperature distribution on the front view surface of the trash cans.

Figure 8. Cloud map of temperature distribution on the side view surface of the trash cans.

Figure 9. Test model and setup of community bin.

Figure 10. Temperature distribution and error bar diagram of temperature measuring points.

Data availability statement

The datasets generated during and/or analyzed during the current study are not publicly available due to privacy reasons, but are available from the corresponding author on reasonable request.