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- 저자 : E. Manikandan (검색결과 2 건)
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E. Manikandan,K. Velmurugan,G.G. Sozhamannan,Balamuruga Mohan Raj.G,V.S.K. Venkatachalapathy 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.6
Grey relational analysis of the multiple responses, including Reynolds number, Nusselt number, heat transfer (W), heattransfer coefficient (W/m2 K), and heat flux (W/m2), was done as part of experiments based on a Taguchi orthogonal array. The best parameter levels was calculated and selected based on GRA on basis of the Grey Relational Grade (GRG). AnANOVA has been used to identify factors that significantly contribute to the response based on grade. Experiments was conductedat the optimum predicted conditions (Al2O3) and the response was found as follows; Reynolds Number (592), NusseltNumber (2.5), Heat transfer (Q) (510), Flux (W/m2) (17.8) and Heat transfer Coefficient (W/m2 K) (394). The experimentalvalue was found to be correlated with the predicted values of Reynolds number (610), Nusselt number (2.6), heat transfer (Q)(530), heat transfer coefficient (W/m2 K) (415), and heat flux (W/m2) (18.5), respectively. The experimental data were foundto have an excellent knowledge under the recommended conditions. Our study is a preliminary step towards developing asubstantially effective Al2O3-based base fluid to enhance the performance of the heat transfer process in a copper-based serpentineshape heat exchanger
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An IoT based Green Home Architecture for Green Score Calculation towards Smart Sustainable Cities
( K. Manikanda Kumaran ),( M. Chinnadurai ),( S. Manikandan ),( S. Palani Murugan ),( E. Elakiya ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7
In the recent modernized world, utilization of natural resources (renewable & non-renewable) is increasing drastically due to the sophisticated life style of the people. The over-consumption of non-renewable resources causes pollution which leads to global warming. Consequently, government agencies have been taking several initiatives to control the over-consumption of non-renewable natural resources and encourage the production of renewable energy resources. In this regard, we introduce an IoT powered integrated framework called as green home architecture (GHA) for green score calculation based on the usage of natural resources for household purpose. Green score is a credit point (i.e.,10 pts) of a family which can be calculated once in a month based on the utilization of energy, production of renewable energy and pollution caused. The green score can be improved by reducing the consumption of energy, generation of renewable energy and preventing the pollution. The main objective of GHA is to monitor the day-to-day usage of resources and calculate the green score using the proposed green score algorithm. This algorithm gives positive credits for economic consumption of resources and production of renewable energy and also it gives negative credits for pollution caused. Here, we recommend a green score based tax calculation system which gives tax exemption based on the green score value. This direct beneficiary model will appreciate and encourage the citizens to consume fewer natural resources and prevent pollution. Rather than simply giving subsidy, this proposed system allows monitoring the subsidy scheme periodically and encourages the proper working system with tax exemption rewards. Also, our GHA will be used to monitor all the household appliances, vehicles, wind mills, electricity meter, water re-treatment plant, pollution level to read the consumption/production in appropriate units by using the suitable sensors. These values will be stored in mass storage platform like cloud for the calculation of green score and also employed for billing purpose by the government agencies. This integrated platform can replace the manual billing and directly benefits the government.
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