An intelligent solar-assisted 1kW Lithium–Bromide vapor absorption system

Abstract

A ground-breaking solution that combines solar thermal energy and lithium-bromide vapor absorption technology to produce energy-efficient cooling and heating is the Intelligent Solar Assist 1[Formula: see text]kW Lithium Bromide Vapor Absorption system. This cutting-edge system uses the sun’s energy to power the absorption cycle, offering environmentally friendly and economically viable thermal management. Solar thermal collectors, a lithium bromide absorption chiller, a thermal energy storage device, and sophisticated control algorithms comprise the system’s main parts. Sunlight is captured and converted by solar thermal collectors into thermal energy, which is then used to produce the necessary heat for the lithium bromide absorption chiller. This chiller uses the absorption refrigeration cycle to efficiently cool or heat the specified area or process. When intelligent control algorithms are incorporated, the system performs and operates more effectively and efficiently. These algorithms regulate the thermal energy storage unit and optimize the use of solar energy, delivering a constant and dependable supply of cooling or heating as needed. Advanced monitoring and diagnostics features are also built into the system, allowing for remote control and in-the-moment performance evaluation. Disadvantages are ethical issues, lack of generalization, interpretability and complexity, scalability and processing resources, and scientific agreement. A novel Chimp-based recurrent model (CbRM) has been planned to be designed to predict the desired efficiency from the Evacuated Tube Collector (ETC) to overcome this issue. Comparing the Intelligent Solar Assist system to conventional heating and cooling systems, several benefits must be had. It minimizes greenhouse gas emissions, lessens reliance on traditional energy sources, and promotes a more sustainable future. The system also saves money using solar energy, lowering power costs and enhancing energy efficiency. Moreover, the proposed system implementation is done in Matlab. The method achieves the high efficiency of ETC in the range of about 0.9% which increases by 0.3% and the higher rate of COP was about 9.5% which increases up to 6%, as the increased concentration level of the strong solution was about 6.5% it was nearly 5% increase. The parameters in the suggested model were compared to the current parameters for the comparison analysis, and it was discovered that the proposed model had superior presenting efficiency.