S. Suyambazhahan, Tatek Temesgen, A. Nene, S. Ramachandran
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引用次数: 0
Abstract
ABSTRACT Air conditioning/air cooling systems are necessities of the modern urban world. These applications require huge power and have an adverse environmental impact because of the ozone-depleting coolants used. Saving electrical energy for compressors is made possible by redesigning the prime movers. Interdisciplinary approaches such as electrical engineering, mechanical engineering, thermal science, and solar energy produce electrical energy, which drastically saves more energy than the conventional system. This system converts solar radiations to heated steam to heat exchange to convert liquid coolant to vapor to produce a cooling effect using low energy. The experiment is conducted in a 1Ton conventional vapor compression system using a low-power consumption system built with an ‘ejector-based cooling system’ and ‘Scheffler concentrator-based heating system.’ The results reveal that 80% of energy is saved using unconventional interdisciplinary approaches in the subsystem design. GRAPHICAL ABSTRACT
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials