Performance Prediction of Solar Adsorption Refrigeration System by Ann

Abstract

This paper proposes a new approach for the performance analysis of a single-stage solar adsorption refrigeration system with activated carbon-R134a as working pair. Use of artificial neural network has been proposed to determine the performance parameters of the system, namely, coefficient of performance, specific cooling power, adsorbent bed (thermal compressor) discharge temperature, and solar cooling coefficient of performance. The ANN used in the performance prediction was made in MATLAB (version 7.8) environment using neural network tool box.In this study the temperature, pressure, and solar insolation are used in input layer. The back propagation algorithm with three different variants namely Scaled conjugate gradient, Pola-Ribiere conjugate gradient, and Levenberg-Marquardt (LM) and logistic sigmoid transfer function were used, so that the best approach could be found. After training, it was found that LM algorithm with 9 neurons is most suitable for modeling solar adsorption refrigeration system. The ANN predictions of performance parameters agree well with experimental values with R2 values close to 1 and maximum percentage of error less than 5%. The RMS and covariance values are also found to be within the acceptable limits.

Adsorption working pairs for adsorption cooling chillers: A review based on adsorption capacity and environmental impact

“…Their results showed that at 295 K as adsorption temperature and 93.33 kPa, the maximum possible adsorption capacity for the nanoporous carbon molecular sieve Carbosieve G (CSG) adsorbent in adsorption of R-11 (CCl 3 F) was 0.735 kg/kg CSG , for R-12 (CCl 2 F 2 ) was 0.644 kg/kg CSG , for R-13 (CClF 3 ) was 0.492 kg/kg CSG , for R-21 (CCl 2 FH) was 0.669 kg/kg CSG , for R-22 (CClF 2 H) was 0.57 kg/kg CSG , for R-23 (CF 3 H) was 0.409 kg/kg CSG , for R-30 (CCl 2 H 2 ) was 0.631 kg/kg CSG , for R-40 (CClH 3 ) was 0.378 kg/ kg CSG , for Nitrogen (N 2 ) was 0.375 kg/kg CSG , for R-114 (CClF 2 -CClF 2 ) was 0.625 kg/kg CSG , for R-114a (CCl 2 -CF 3 ) was 0.581 kg/ kg CSG , for R-115 (CClF 2 -CF 3 ) was 0.477 kg/kg CSG , for R-124 (CClFH-CF 3 ) was 0.505 kg/kg CSG , for R-125 (CHF 2 -CF 3 ) was 0.496 kg/kg CSG , for R-134 (CHF 2 -CHF 2 ) was 0.505 kg/kg CSG and for R-134a (CH 2 F-CF 3 ) was 0.478 kg/kg CSG . From the work of [38] it is pointed out that, all adsorbates tested in this study have high GWP, also R- (11,12,13,21,22,114,115,124) have high ODP.…”

“…The experimental results also demonstrated that the refrigerator had cooling capacity of 47-78 W during day time and 57.6-104.4 W during night time. From the work of Baiju et al [22] it should be noticed that methanol is a flammable gas and has negative effect on global warming. Glaznev et al [23] introduced a study on composite adsorbents, which were synthesized from a meso-structured silicate (SBA-15) and CaCl 2 , for adsorptive transformation of low temperature heat.…”

“…On the other hand, depending on the work of [21], it is remarked that, R134a has a bad environmental effect due to its high GWP. From the work of [22] it is pointed out that, methanol is a flammable gas and has an effect on global warming. From the work of [24] it should be remarked that NH 3 is a very toxic gas.…”

“…On the other hand, depending on the work of [21], it is remarked that R134a has a negative impact on the environment due to its high GWP. Baiju et al [22] investigated experimentally the performance of a two-stage solar adsorption refrigeration system with activated carbon-methanol pair. That system utilized a condenser, a common evaporator placed inside a refrigerator box, parabolic solar concentrator, two adsorbent beds, two water tanks and an expansion device (capillary tube) as shown in Fig.…”

Exergy Assessment of Single Stage Solar Adsorption Refrigeration System Using ANN

“…The exergy efficiency is found to be maximum in the range between 70 • C and 75 • C. So for the system, the optimum operating point is to be defined. Baiju and Muraleedharan [22] conducted a study on effect of heat source temperature on cycle COP and exergy efficiency of the system. The study reveals that exergy efficiency decreases and cycle COP increases with the increase in heat source temperature.…”