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Proceeding Paper

Performance of Desiccant Enhanced Evaporative Cooling System Based on High-Low Control †

Faculty of Science and Technology, Technological and Higher Education Institute of Hong Kong, Hong Kong
*
Author to whom correspondence should be addressed.
Presented at the Economy, Sustainable Development and Energy International Conference (ESDEIC), Edinburgh, Scotland, UK, 25–27 June 2018.
Proceedings 2018, 2(22), 1377; https://doi.org/10.3390/proceedings2221377
Published: 8 November 2018

Abstract

:
Desiccant enhanced evaporative cooling system is a sustainable air-conditioning (A/C) system which deals the latent load and sensible load separately by a dehumidifier and an evaporative cooler. A LDD-RIEC system consists of a liquid desiccant dehumidifier (LDD) and a regenerative indirect evaporative cooler (RIEC) were investigated. The LDD-RIEC system is characterized by low energy consumption compared with conventional mechanical cooling system, but the main shortcoming is the high dependency on ambient air conditions. To maintain stable indoor temperature, a control scheme is essential. However, very limited research work regarding control strategy can be found in open literatures. In this paper, a novel controller named high-low (H-L) control is proposed. Multi-speed technology is utilized for primary air fan and secondary air fan operating either at high speed or at low speed. The annual performance of a LDD-RIEC system is simulated in Hong Kong, a typical hot and humid region. The results indicate that H-L control is effective in maintaining stable indoor thermal comfort with temperature fluctuation from 24 °C to 27 °C for 99% of time.

1. Introduction

Energy consumption of operating an air-conditioning (A/C) system accounts for a large proportion of total building energy consumption. Conventional A/C system relies on energy-intensive compressor and environmentally harmful chlorofluorocarbons (CFCs). In recent decade, desiccant enhanced evaporative cooling system becomes a research hot spot because of its low energy consumption and possible utilization of low-grade heat source [1]. A LDD-RIEC system consists of a liquid desiccant dehumidifier (LDD) and a regenerative indirect evaporative cooler (RIEC) is one of the desiccant enhanced evaporative cooling systems. The hot and humid fresh air is firstly dehumidified by a LDD and then sensibly cooled by a RIEC. Without relying on a compressor, the energy consumption is greatly reduced by only operating pumps and fans.
The energy saving potential of desiccant enhanced evaporative cooling system is proved to be very promising by extensive theoretical and experimental studies [2]. However, the main shortcoming of LDD-RIEC system is the high dependency on ambient air conditions. The supply air temperature varies according to changeable ambient temperature and humidity. To maintain stable indoor temperature and thermally-comfort environment, a control scheme is essential. However, very limited research work regarding control strategy of LDD, RIEC and LDD-RIEC system can be found in open literatures. Therefore, a novel controller named high-low (H-L) control is proposed for LDD-RIEC system. Multi-speed technology is utilized in RIEC for primary air fan and secondary air fan, which operates either at high speed or at low speed. The high speed is designed to meet the peak cooling load and the low speed meet the minimum fresh air demand of the occupants. The fan operates at high speed when the indoor air temperature is higher than the setting value and at low speed if the indoor air temperature is satisfied.
In this paper, the annual performance of LDD-RIEC system based on H-L control is investigated by numerical simulation. The LDD model, RIEC model and dynamic indoor heat and mass balance model are firstly established. Detailed control algorithm is introduced thereafter followed by a case study in Hong Kong, a typical hot and humid region. The year-round indoor temperature and humidity distribution are discussed. Fluctuations of fan speed and supply air temperature in a typical summer day are also analyzed. At last, the energy consumption of the system is evaluated.

2. Simulation Model

The LDD model, RIEC model and indoor heat and moisture balance model are established respectively. The heat and mass transfer process in the dehumidifier follows the energy and mass conservation. The model of RIEC is established based on energy and mass balance in the two channels.
H-L control is proposed as a novel control scheme for LDD-RIEC system. The controller is adopted for both of the LDD and RIEC with multi-speed technology. In LDD, the solution pump and fan operate either at high speed or at low speed. In RIEC, the primary air fan and secondary air fan operate either at high speed or at low speed. When the indoor air temperature is higher than the upper boundary of setting point, the fans and pump would operate at high speed. Otherwise, the fans and pump would operate at low speed instead of completely shutdown to meet the part load. To avoid overcooling in the early morning of transition seasons, the system would not be active until the indoor air temperature increases to the lower boundary of the setting point.
In this study, the system would be turned off if the tN(T) is lower than 24 °C, operated at low speed if tN(T) is between 24 °C to 25 °C, operated at high speed if tN(T) is higher than 26 °C and maintain the current operation state if tN(T) is between 25 °C to 26 °C. The structure and operational parameters of LDD and RIEC are listed in Table 1.
A case study is conducted to evaluate the annual performance of LDD-RIEC under H-L control in Hong Kong. The studied room is a clinic with dimension of 4.0 m (L) × 8.0 m (W) × 2.6 m (H). There are two patients and two doctors equipped with two computers. The working hour is 8:00 to 20:00 every day. The cooling season is from 1 May to 30 September.

3. Results and Discussion

3.1. Annual Performance

Figure 1 show the indoor temperature and humidity variation in cooling seasons (1 May to 30 September). It can be seen that the indoor air temperature mostly varies from 24 °C to 26 °C and indoor humidity varies from 5.5 g/kg to 10.7 g/kg. The highest temperature is about 30 °C Throughout the cooling seasons, the temperature varies from 26 °C to 27 °C accounts for 6.2% of operating time, from 25 °C to 26 °C accounts for 68.9% from 24 °C to 25 °C accounts for 24.0%. The temperature higher than 27 °C and below than 24 °C takes up for only 0.3% and 0.6% of operating time, respectively. Therefore, it indicates that H-L control adopted in LDD-RIEC system is effective in maintaining stable indoor thermal comfort with temperature fluctuation from 24 °C to 27 °C for 99% of time.

3.2. System Performance in a Typical Day

Figure 2 shows the indoor temperature fluctuation in a typical day during the working hours. It can be seen that the temperature varies between 24.5 °C to 26.5 °C, indicating good controllability of the system. As H-L control is adopted as the control scheme, the indoor temperature will increase to the upper setting boundary and then decrease as the fan switches to high speed. In sum, the indoor temperature fluctuates between upper setting boundary and lower setting boundary periodicity. The indoor temperature can be controlled within the thermal comfort zone.
Figure 3 shows the fan speed fluctuation in a typical day during the working hours. It can be seen that the fan speed switches between high speed (0.6 m/s) and low speed (0.15 m/s) periodicity. The fan operating at low speed lasts much longer than that of high speed. Throughout the cooling season, the fans’ shutdown period accounts for 58.5% of the cooling season, operating at low speed accounts for 34.7% and operating at high speed accounts for only 6.8%.

3.3. Energy Consumption

One of the most significant advantages of LDD-RIEC system is the low energy consumption. The high-low control provides huge energy saving potential based on the affinity laws in multi-speed technology. Based on the affinity laws, power is proportional to the cube of shaft speed, i.e, the power would reduce to 1/27 of rated power if the fan speed is reduced to 1/3 of rated speed. The breakdown of energy consumption in LDD-RIEC system is listed as Table 2. In the calculation, the heat to power ratio is supposed to be 4. The energy consumption by the solution pump and cooling water pump are assumed to be 5% of the regeneration heat, respectively. The total energy consumption of LDD-RIEC system in cooling seasons is calculated to be only 1184 kWh.

4. Conclusions

LDD-RIEC system is a kind of desiccant enhanced evaporative cooling system, which is consisted of a liquid desiccant dehumidifier (LDD) and a regenerative evaporative cooler (RIEC). A novel controller named high-low (H-L) control is proposed for LDD-RIEC system. The studied case indicates that H-L control is effective in maintaining stable indoor thermal comfort with temperature fluctuation from 24 °C to 27 °C for 99% of time in Hong Kong. The fan speed switches between high speed and low speed periodicity, but operates under low speed for majority of time. The total energy consumption of LDD-RIEC system in cooling seasons is calculated to be only 1184 kWh.

Author Contributions

Y.C. and H.Y. established the simulation model; Y.L. proposed the idea, finalized the paper and provided valuable comments.

Acknowledgments

The work was supported by a grant from the Research Grants Council of the Hong Kong SAR, China (UGC/FDS25/E04/17). The publication fee in open access is covered by the received fund.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mohammad, A.T.; Mat, S.B.; Sulaiman, M.Y.; Sopian, K.; Al-Abidi, A.A. Survey of hybrid liquid desiccant air conditioning systems. Renew. Sustain. Energy Rev. 2013, 20, 186–200. [Google Scholar] [CrossRef]
  2. She, X.; Yin, Y.; Zhang, X. Investigation on air flow patterns of evaporative cooling and dehumidification process for a hybrid refrigeration system. Appl. Therm. Eng. 2016, 95, 79–94. [Google Scholar] [CrossRef]
Figure 1. Indoor temperature and humidity variation in cooling season.
Figure 1. Indoor temperature and humidity variation in cooling season.
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Figure 2. Indoor temperature fluctuation in a typical day.
Figure 2. Indoor temperature fluctuation in a typical day.
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Figure 3. Fan speed fluctuation in a typical day.
Figure 3. Fan speed fluctuation in a typical day.
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Table 1. Structure and operational parameters of LDD and RIEC.
Table 1. Structure and operational parameters of LDD and RIEC.
ComponentParameterSymbolValue
LDDNumber of Transfer UnitNTU2
Desiccant flow ratemsol1.29 kg/s (high); 0.43 kg/s (low)
Desiccant solution (LiCl) concentrationx0.37
Air flow ratemp0.6 kg/s (high); 0.2 kg/s (low)
RIECChannel pairsn55
Height × widthH × W1.0 m × 1.0 m
Channel gapde4 mm
Extraction ratio r0.3
Fan speed of primary airmp0.6 kg/s (high); 0.2 kg/s (low)
Table 2. Breakdown of energy consumption in LDD-RIEC system.
Table 2. Breakdown of energy consumption in LDD-RIEC system.
ComponentItemEnergy Consumption (kWh/Cooling Season)
LDDregeneration heat1027
solution pump51
cooling water pump51
supply air fan17.3
RIECwater pump15.0
primary air fan17.3
secondary air fan5.2
Total 1184
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MDPI and ACS Style

Chen, Y.; Yan, H.; Luo, Y. Performance of Desiccant Enhanced Evaporative Cooling System Based on High-Low Control. Proceedings 2018, 2, 1377. https://doi.org/10.3390/proceedings2221377

AMA Style

Chen Y, Yan H, Luo Y. Performance of Desiccant Enhanced Evaporative Cooling System Based on High-Low Control. Proceedings. 2018; 2(22):1377. https://doi.org/10.3390/proceedings2221377

Chicago/Turabian Style

Chen, Yi, Huaxia Yan, and Yimo Luo. 2018. "Performance of Desiccant Enhanced Evaporative Cooling System Based on High-Low Control" Proceedings 2, no. 22: 1377. https://doi.org/10.3390/proceedings2221377

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