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Daniela I. Quintana and José M. Cansino
This paper conducted a systematic literature review (SLR) of peer-review documents focused on residential energy consumption. The main finding of this SLR derived from its computational implementation, filling a gap in the available literature. The paper...
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Flavia Bustos, Jorge Hinojosa and Víctor Tuninetti
The computational modeling of hysteretic dampers is a powerful tool for design, allowing us to predict and optimize damper performance. In this research, a numerical model, based on Chaboche?s nonlinear kinematic hardening constitutive law, was implement...
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Srijoni Banerjee, Soumendu Dasgupta, Arnab Atta, Debabrata Das, Deen Dayal, Sumira Malik, Harshavardhan Kumar, Shristi Kishore, Sarvesh Rustagi and Abdulmajeed G. Almutary
Biofuel production is a renewable energy resource that is not only the most stabilized source of energy but also one of the sustainable alternatives to non-renewable-sourced fuels. Microalgal biomass is emerging as a third-generation biofuel owing to its...
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Lingbo Nan, Yumeng Wang, Diyi Chen, Weining Huang, Zuchao Zhu and Fusheng Liu
Traditional centrifugal pump performance prediction (CPPP) employs the semi-theoretical and semi-empirical approaches; however, it can lead to many prediction errors. Considering the superiority of deep learning when applied to nonlinear systems, in this...
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Sergey Pogorelskiy and Imre Kocsis
One of the most energy-intensive facilities requiring a comprehensive and well-optimised cooling system is the data centre. Air containment across the data centre is a key thermal management and energy-saving strategy that enhances the performance of dat...
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