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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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Tao Zhang, Zilong Hu, Xinjun Liu, Jiahao Lu, Xijie Song, Di Zhu and Zhengwei Wang
Hydroelectric power generation is an important clean energy source, and the stability of water turbine operation determines the quality of hydro energy utilization. For hydro turbines, the layout direction of the draft tube is often only considered from ...
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