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Shaohang Yan, Mingchen Qiang, Qi Zhao, Yu Hou and Tianwei Lai
In high-speed motors, there is a huge amount of heat generation from core and winding losses, which may result in thermal failures or motor performance deterioration. In the prevention of heat accumulation, efficient cooling technology is critical for sm...
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Araceli Peña-Fernández, Manuel A. Colón-Reynoso and Pilar Mazuela
Greenhouses are instrumental in the advancement of regions globally. The geometric arrangement of these structures plays a pivotal role in governing sunlight distribution, facilitating ventilation, and managing condensation. The roof?s shape significantl...
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Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac...
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Ángel Benigno González-Avilés, Carlos Pérez-Carramiñana, Antonio Galiano-Garrigós and María Isabel Pérez-Millán
Over the last decade there has been a proliferation of glamping architecture. This study analyses the energy performance of geodesic domes for use in tourist glamping compared to more conventional prismatic architectural solutions. The energy analysis of...
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Piotr Kaczmarzyk, Pawel Janik, Daniel Maloziec, Wojciech Klapsa and Lukasz Wargula
During rescue operations, one of the important parameters determining the effectiveness of the implementation of tactical mechanical ventilation is the selection of the appropriate size of the outlet opening. The objective of this article is to determine...
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Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Pawel Sliwinski, Pavlo Krot, Jacek Wodecki and Radoslaw Zimroz
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load?haul?dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used ...
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Liyun Gong, Miao Yu and Stefanos Kollias
In this study, we present a novel smart greenhouse control algorithm that optimizes crop yield while minimizing energy consumption costs. To achieve this, we relied on both a greenhouse climate model and a greenhouse crop yield model. Our approach involv...
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Muhammad Talha Siddique, Paraskevas Koukaras, Dimosthenis Ioannidis and Christos Tjortjis
The Smart Readiness Indicator (SRI) is a newly developed framework that measures a building?s technological readiness to improve its energy efficiency. The integration of data obtained from this framework with data derived from Building Information Model...
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Si Gao, Hu Xie, Mian Yang, Qiang Zhang, Ming Zhang, Xin Wang and Ze-Hao Jiang
The outbreak of COVID-19 has engendered extensive challenges for conventional hospital operations. To adapt to this problematic issue, a mixed-use hospital functioning system for normal and epidemic situations is proposed. However, the inherent complexit...
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Michael Tesfaye Bekele and Cemil Atakara
Residential buildings have a list of functions, and one of the top priories is the thermal comfort of its occupants. Thermal comfort can be one of the measurements of successful building performance, and it can be addressed in various ways to provide a g...
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