Comparative assessment of different categories of absorption heat transformers in water desalination process

Parham, Kiyan; Khamooshi, Mehrdad; Daneshvar, Sanahd; Assadi, Mohsen; Yari, Mortaza

doi:10.1016/j.desal.2016.05.031

Cited by 27 publications

(4 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As it is evident from Fig. 3, for the considered OAHT COP is more than those of common absorption heat transformers which stand approximately in the range of 0.2-0.5 [29]. A similar trend has also been reported by Zhang et al [15].…”

Section: Resultssupporting

confidence: 85%

Energy, exergy and environmental analysis of a novel combined system producing power, water and hydrogen

Parham

Alimoradiyan

Assadi

2017

Energy

Self Cite

View full text Add to dashboard Cite

Section: Resultssupporting

confidence: 85%

Energy, exergy and environmental analysis of a novel combined system producing power, water and hydrogen

Parham

Alimoradiyan

Assadi

2017

Energy

Self Cite

View full text Add to dashboard Cite

“…This trendis in agreement with the work published in [19]. The decrease found in the when the hot water temperature increased from 64 to 66.5 ºC (12.50%) is in consistency with the works published in [32][33][34][35][36][37]. Therefore, the optimum ℎ under steady-state operation would be 64 °C that gives a maximum of 2.04±0.39, a distillate production of 1.92±0.11 m 3 /h and makes the MED unit achieving the maximum of 16.67±3.42.…”

Section: Deahp-med System Experimental Characterizationsupporting

confidence: 93%

Energetic evaluation of a double-effect LiBr-H2O absorption heat pump coupled to a multi-effect distillation plant at nominal and off-design conditions

Chorak

Palenzuela

Alarcón-Padilla

et al. 2018

Applied Thermal Engineering

View full text Add to dashboard Cite

This paper presents the experimental characterization of a double-effect absorption heat pump (DEAHP) using lithium bromide-water (LiBr-H2O) which recovers the low-energy latent heat from the last effect of a multi-effect distillation (MED) plant. The experimental facility is located at the Plataforma Solar de Almería (PSA) and the test campaign has been performed with the aim to find the best operating strategies that minimize the energy consumption and maximize the energetic efficiency of the DEAHP-MED system taking also into account the distillate production of the MED unit. For this purpose, the impact of the variation of the input variables by which the DEAHP-MED system can be controlled (MED inlet hot water flow rate, MED inlet hot water temperature, the live steam flow rate and the DEAHP cooling water flow rate) on the coefficient of performance (), the performance ratio () and on the total distillate production, has been analysed in two different coupling schemes between the DEAHP and the MED unit (indirect and direct). The results revealed that in direct mode, the rise in the live steam flow rate has the greatest impact on the distillate production and the increase of the MED inlet hot water flow rate and the DEAHP cooling flow rate on the. In the indirect mode, the rise in the MED inlet hot water temperature was the most influential in both parameters. The maximum , distillate production and was 2.08±0.34, 2.42±0.07 m 3 /h, and 18.53±1.94, respectively in the direct mode and 2.04±0.39, 1.92±0.11 m 3 /h, 16.67±3.42, respectively the indirect mode. Moreover, empirical correlations that forecast the and the distillate production as a function of the were developed from the characterization results and were validated statistically by the coefficient of determination (2) and the adjusted 2 (2).

show abstract

“…Studies have produced many findings on the feasibility of adapting these systems to industrial processes, either for heat recovery in a secondary process or for the re-entry of heat into the process and reduction in energy requirements [15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Control Strategy Based on Artificial Intelligence for a Double-Stage Absorption Heat Transformer

Vázquez-Aveledo,

Romero,

Montiel-González

et al. 2023

Processes

View full text Add to dashboard Cite

Thermal energy recovery systems have different candidates to mitigate CO2 emissions as recommended by the UN in its list of SDGs. One of these promising systems is thermal absorption transformers, which generally use lithium-water bromide as the working fluid. A Double Stage Heat Transformer (DSHT) is a thermal machine that allows the recovery of thermal energy at a higher temperature than it is supplied through the effect of steam absorption in a concentrated solution of lithium bromide. There are very precise thermodynamic models which allow us to calculate all the possible operating conditions of the DSHT. To perform the control of these systems, the use of Artificial Intelligence (AI) is proposed with two computational techniques—Fuzzy Logic (FL) and Artificial Neural Network (ANN)—to calculate in real-time the set of variables that maximize the product’s Gross Temperature Lift (GTL) and Coefficient of Performance (COP) in a DSHT. The values for Coefficient of Determination (R2), Mean Square Error Root (MRSE), and Mean Error Bias (MBE) for the two types of computational techniques were analyzed and compared with the purpose of identifying which of them may be more accurate to calculate the operating conditions (temperatures, pressures, concentration and flows) with the highest COP for an interval of the value of the temperature absorption entered by the user. The result of the analysis of the evaluated techniques concluded that the control strategy of a DSHT in real-time will be based on the precise calculation of the refrigerant flow in the second evaporator with a Neural Network of 30 neurons, 300 weights and 40 bias, as it is more accurate than the Fuzzy Logic technique. The goodness-of-fit for two computational techniques was evaluated as having an R2 higher than 0.98 for the provided data. Future AI controllers must be based on evaporator flow values with evaporator power at 3.9−04 kg/KJ.

show abstract

Comparative assessment of different categories of absorption heat transformers in water desalination process

Cited by 27 publications

References 64 publications

Energy, exergy and environmental analysis of a novel combined system producing power, water and hydrogen

Energy, exergy and environmental analysis of a novel combined system producing power, water and hydrogen

Energetic evaluation of a double-effect LiBr-H2O absorption heat pump coupled to a multi-effect distillation plant at nominal and off-design conditions

Control Strategy Based on Artificial Intelligence for a Double-Stage Absorption Heat Transformer

Contact Info

Product

Resources

About