A review of recent developments in the application of machine learning in solar thermal collector modelling

M Vakili, SA Salehi - Environmental Science and Pollution Research, 2023 - Springer
Over the past few decades, the popularity of solar thermal collectors has increased
dramatically because of many significant advantages like being a free, natural …

Techno-economics and the identification of environmental barriers to the development of concentrated solar thermal power plants in India

S Praveenkumar, EB Agyekum, A Kumar, JD Ampah… - Applied Sciences, 2022 - mdpi.com
India is endowed with a lot of solar radiation as a result of its location. The Indian
government therefore intends to maximize the usage of its solar energy resources through …

Failure diagnosis of rotating Machines for steam turbine in Cap-Djinet thermal power plant

S Benammar, KF Tee - Engineering Failure Analysis, 2023 - Elsevier
Abstract The Cap-Djinet thermal power plant is a 1872-megawatt (MW) gas power plant
located in Djinet in Algeria. The steam turbine is an important strategic machine in this plant …

Artificial intelligence assisted social failure mode and effect analysis (FMEA) for sustainable product design

C Spreafico, A Sutrisno - Sustainability, 2023 - mdpi.com
Nowadays, the social dimension of product sustainability is increasingly in demand,
however, industrial designers struggle to pursue it much more than the environmental or …

Estimation of circular arc crack depths and locations in rotary drilling pipes subjected to free vibrations

I Kessai, S Benammar, MZ Doghmane, KF Tee - Vibration, 2022 - mdpi.com
Late detection of cracks can lead to serious failures and damages of drilling components,
especially drill pipes and drill bits. Currently, the widely used method of repairing rotary …

MoMA Algorithm: A Bottom-Up Modeling Procedure for a Modular System under Environmental Conditions

ML Gámiz, D Montoro-Cazorla, MC Segovia-García… - Mathematics, 2022 - mdpi.com
The functioning of complex systems relies on subsystems (modules) that in turn are
composed of multiple units. In this paper, we focus on modular systems that might fail due to …

Artificial neural network-based optimization studies for efficient energy harvesting from auxetic laminated composite smart beam

SK Panda, J Srinivas - Mechanics of Advanced Materials and …, 2024 - Taylor & Francis
In the present study, a smart laminated composite beam with auxetic configurations is
considered to improve its energy harvesting capabilities. For this purpose, three different …

[PDF][PDF] Maintenance management in solar energy systems

FPG Márquez - Energies, 2022 - psecommunity.org
The energy industry is employing new reliable and efficient renewable energy sources
because of government and environment restrictions [1]. The renewable energies available …

[PDF][PDF] Artificial Intelligence Assisted Social Failure Mode and Effect Analysis (FMEA) for Sustainable Product Design. Sustainability 2023, 15, 8678

C Spreafico, A Sutrisno - 2023 - aisberg.unibg.it
Nowadays, the social dimension of product sustainability is increasingly in demand,
however, industrial designers struggle to pursue it much more than the environmental or …

MoMA Algorithm: A Bottom-Up Modeling Procedure for a Modular System under Environmental Conditions

ML Gámiz Pérez, MC Segovia García, R Pérez Ocón - 2022 - digibug.ugr.es
The functioning of complex systems relies on subsystems (modules) that in turn are
composed of multiple units. In this paper, we focus on modular systems that might fail due to …