Potential of indoor room 3D ratio in reducing carbon emissions by prefabricated decoration in chain hotels

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111757 - 111757

Published: Jan. 1, 2025

Language: Английский

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Determination of Optimum Passive Design Parameters for Industrial Buildings in Different Climate Zones Using an Energy Performance Optimization Model Based on an Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO)

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2357 - 2357

Published: March 7, 2025

With a focus on reducing building energy consumption, approaches that simultaneously optimize multiple passive design parameters in industrial buildings have received limited attention. Most existing studies tend to examine geometry or individual under scenarios, underscoring the potential benefits of adopting comprehensive, multiparameter approach integrates climate-responsive and sustainable strategies. This study bridges gap by systematically optimizing key parameters—building geometry, orientation, window-to-wall ratio (WWR), glazing type—to minimize loads enhance sustainability across five distinct climate zones. Fifteen different geometries with equal floor areas volumes were analyzed, considering fifteen types orientations varying 30° increments. DesignBuilder simulations yielded 16,900 results, due inherent challenges directly within simulation environments, data restructured reveal underlying relationships. An Energy Performance Optimization Model, based Particle Swarm (PSO) algorithm integrated an Artificial Neural Network (ANN), was developed identify optimal solutions tailored specific climatic conditions. The optimization results successfully determined combinations WWR, type reduce heating cooling loads, thereby promoting efficiency carbon emissions buildings. offers practical solution set provides architects actionable recommendations during early phase, establishing machine learning-based framework for achieving sustainable, energy-efficient, designs.

Language: Английский

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AI enhancing prefabricated aesthetics and low carbon coupled with 3D printing in chain hotel buildings from multidimensional neural networks

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 17, 2025

Abstract There are approximately 70,000 economy chain hotels worldwide, generating about 300 million tons of carbon dioxide annually. While reducing emissions can lower energy consumption, these must also continually attract guests to ensure revenue growth and achieve sustainable development. This study focuses on the application Artificial Intelligence (AI) in prefabricated renovation hotels, investigating how AI plays a crucial role coupling low-carbon construction aesthetic design. Using multidimensional algorithms within machine learning (ML), neural networks (NN), statistical modeling (SM), this paper analyzes impact AI-driven room renovations tourist satisfaction emissions. The results indicate that not only optimize consumption structural efficiency process but goals while maintaining high-quality designs. offers new theoretical insights into integration design, filling gaps current literature, providing pathway for achieving development (SDG 7, 8, 12), offering valuable implications robotic intelligent 3D printing buildings industry.

Language: Английский

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Layout optimization of thyristor production line of F Company

Advances in computer science research, Journal Year: 2024, Volume and Issue: unknown, P. 36 - 43

Published: Jan. 1, 2024

In recent years, with the development of manufacturing industry, it has brought opportunities and challenges to related enterprises.These enterprises are facing increasingly fierce market competition, so reasonable planning workshop layout is great significance for long-term enterprises.Through field research, found that production facility thyristor in F company cumbersome, logistics route crosswise circuitous.This article aims at above problems existing company.Firstly, uses SLP method carry out preliminary design layout, then combines particle swarm algorithm obtain final optimization scheme through MATLAB software programming, which improves efficiency transportation.

Language: Английский

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