Optimization the efficiency of continuous solar adsorption refrigeration system with genetic algorithm

Farman, Nibal Fadel; Redha, Zeina Ali Abdul; Mahdi, Shaymaa A.

doi:10.1109/it-dreps.2017.8277821

Cited by 2 publications

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“…These investigations involved experimental analyses, design considerations, and the construction of prototypes and field systems aimed at assessing the feasibility and functionality of this configuration within the Iraqi context. These efforts aimed to harness solar energy through adsorption-based refrigeration systems utilizing methanol-activated carbon pair, displaying potential advancements in sustainable cooling technologies tailored to the country's needs and resources (Farman et al, 2017 andH Al-Maamory &Fadel Farman 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Solar adsorption cooling system operating by activated–carbon–ethanol bed

Mohammed,

Farman

2024

Int. J. Renew. Energy Dev.

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One efficient way to convert small thermally energized into effective cooling is through adsorption cooling technology, which increases energy efficiency and reduces environmental pollution. This study's primary goal is to hypothetically examine the thermal coefficient of performing the solar adsorptive refrigerator machine operated with an activating carbon/Ethanol operating dual. The impact of different operating situations and design factors on the machine's performance is inspected and evaluated. The present double-bed solar energy adsorptive-cooler unit is modeled by thermodynamic methodology. Then, it was analyzed to evaluate its effectiveness work under Baghdad climate conditions. For the current study, the two-bed solar adsorption cooling unit with 0.5 kW capacity input heat 11893 that operates at 5 °C for the evaporator and 45 °C for the condenser is presented. The Engineering-Equation-Solver (EES) simulation program was created and used to solve the modeling equations that predict the optimal cycle performance and evaluate the optimum reasonable values of the operation parameters of the proposed system. The pressure range for the refrigeration cycle is 2.408 kPa for the evaporation state and 23.14 kPa for the condensation state. The findings demonstrate that an optimum coefficient of performance (COP) is 0.702 at 95 °C, a 20% performance increase, which generates 39.4 of cooling water. It produced 1 kg of chilled water for 2.463 kg of activated carbon at a temperature of 5°C. The improved solar-powered adsorption systems and refrigeration technologies are appealing substitutes that can satisfy energy demands in addition to meeting needs for cooling, ice production, air conditioning, and refrigeration preservation and safeguarding of the environment with Iraq's climate conditions.

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Section: Literature Reviewmentioning

confidence: 99%

Solar adsorption cooling system operating by activated–carbon–ethanol bed

Mohammed,

Farman

2024

Int. J. Renew. Energy Dev.

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“…Iraq is qualified to be a producer of all solar applications and is expected to provide solar electricity to its neighbours. Academicians in Iraq have investigated the effects of weather conditions on different solar energy applications in detail and obtained significant results, possibly the crucial point is that the weather conditions in Iraq fit all solar applications [1]. Near Zero Energy House (NZEH) or Net Zero Energy Building (NZEB) design is a housing building that provides energy efficiently by using renewable energy technologies and passive house design.…”

Section: Introductionmentioning

confidence: 99%

Optimum Efficiency of PV Panel Using Genetic Algorithms to Touch Proximate Zero Energy House (NZEH)

Ahmed

Alhialy

2019

Civ Eng J

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By optimizing the efficiency of a modular simulation model of the PV module structure by genetic algorithm, under several weather conditions, as a portion of recognizing the ideal plan of a Near Zero Energy Household (NZEH), an ideal life cycle cost can be performed. The optimum design from combinations of NZEH-variable designs, are construction positioning, window-to-wall proportion, and glazing categories, which will help maximize the energy created by photovoltaic panels. Comprehensive simulation technique and modeling are utilized in the solar module I-V and for P-V output power. Both of them are constructed on the famous five-parameter model. In addition, the efficiency of the PV panel is established by the genetic algorithm under the standard test conditions (STC) and a comparison between the theoretical and experimental results is done to achieve maximum performance ranging from 0.15 to 0.16, particularly with an error of about - 0.333 for an experimental power of 30 Watts compared with the theoretical power of 30.1 Watts. The results obtained by the genetic algorithm give the best value for efficiency at the range of 16% to 17% of solar radiation, from 500–600 W/m2. These values are almost identical to the efficiency obtained from the results of the operation, where the best value for efficiency in the experimental results was seen to be 15.7%.

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Optimization the efficiency of continuous solar adsorption refrigeration system with genetic algorithm

Cited by 2 publications

References 0 publications

Solar adsorption cooling system operating by activated–carbon–ethanol bed

Solar adsorption cooling system operating by activated–carbon–ethanol bed

Optimum Efficiency of PV Panel Using Genetic Algorithms to Touch Proximate Zero Energy House (NZEH)

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