Kadyan Harsh, Berwal Anil Kumar, Mishra Radhey Shyam
Centre of Excellence for Energy and Environmental Studies, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, 131039, India.
Department of Mechanical Engineering, Delhi Technological University, Shahbad Daulatpur, Delhi, 110042, India.
Environ Sci Pollut Res Int. 2022 Oct;29(47):71518-71533. doi: 10.1007/s11356-022-20798-7. Epub 2022 May 21.
In recent times, solar energy has been utilized for refrigeration systems due to its efficiency and clean form of energy. Moreover, the evacuated tube collector (ETC)-assisted vapor absorption refrigeration system plays a significant role in the modern industrial world compared to the traditional electrical system. However, the conventional vapor absorption refrigeration system design is complex in nature and causes corrosion in the system. Therefore, in this research, novel Generalized Approximate Reasoning-Based Intelligent Control (GARIC) and Hybrid Ant Colony African Buffalo Optimization (HACABO) methods based on an ETC-linked 5-kW vapor absorption refrigeration system are proposed depending on lithium bromide-water (LiBr-HO). Primarily, the Haryana region's solar radiation and weather parameters were taken over a year to simulate the ETC system. ETC collects the solar energy for the refrigeration cycle, and the efficiency of the ETC is estimated using the GARIC method as per the input of solar radiation, collector area, and used solar energy. Moreover, the efficiency of the ETC is optimized using the proposed HACABO method. The modified polynomial fits curved equation is utilized for performance analysis. The simulation model of the solar cooling absorption system is carried out in the MATLAB platform. The coefficient of performance (COP) rate of the absorption cycle has gained 0.82% with the help of HACABO. Compared to other recent associated models, the proposed model has maximized the COP in the finest range.
近年来，太阳能因其高效和清洁能源形式而被用于制冷系统。此外，与传统电气系统相比，真空管集热器（ETC）辅助的蒸汽吸收式制冷系统在现代工业领域发挥着重要作用。然而，传统的蒸汽吸收式制冷系统设计本质上很复杂，会导致系统腐蚀。因此，在本研究中，基于溴化锂-水（LiBr-H₂O）提出了基于ETC连接的5千瓦蒸汽吸收式制冷系统的新型广义近似推理智能控制（GARIC）和混合蚁群非洲水牛优化（HACABO）方法。首先，获取了哈里亚纳邦地区一年的太阳辐射和天气参数来模拟ETC系统。ETC为制冷循环收集太阳能，并根据太阳辐射、集热器面积和使用的太阳能输入，采用GARIC方法估算ETC的效率。此外，使用所提出的HACABO方法对ETC的效率进行了优化。采用修正的多项式拟合曲线方程进行性能分析。在MATLAB平台上进行了太阳能冷却吸收系统的仿真模型。借助HACABO，吸收循环的性能系数（COP）率提高了0.82%。与其他近期相关模型相比，所提出的模型在最佳范围内使COP最大化。
