An Adaptive Control Model for Thermal Environmental Factors to Supplement the Sustainability of a Small-Sized Factory DOI Open Access
Jonghoon Ahn

Sustainability, Год журнала: 2023, Номер 15(24), С. 16619 - 16619

Опубликована: Дек. 6, 2023

Effective indoor thermal controls can have quantifiable advantages of improving energy efficiency and environmental quality, which also lead to additional benefits such as better workability, productivity, economy in buildings. However, the case factory buildings whose main usage is produce process goods, securing comfort for their workers has been regarded a secondary problem. This study aims explore method cooling heating air supply improve by use data-driven adaptive model. The genetic algorithm using idea occupancy rate helps model effectively analyze environment determine optimized conditions comfort. As result, proposed successfully shows performance, confirms that there 2.81% saving consumption 16–32% reduction dissatisfaction. In particular, significance this dissatisfaction be reduced simultaneously despite precise air-supply are performed response building, weather, rate.

Язык: Английский

Deriving thermal sensitivity across educational stages: Evidence-based definition of Griffiths' coefficient DOI Creative Commons
Giulia Lamberti, Giulia Torriani, Fabio Fantozzi

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 87, С. 109081 - 109081

Опубликована: Март 18, 2024

Thermal sensitivity directly impacts occupants' comfort by influencing neutral temperatures and models. The Griffiths method, commonly used to derive thermal sensitivity, often assumes a constant value of 0.5°C-1 for calculating temperatures. However, it is important note that can vary depending on factors such as building type, climatic conditions, operation mode (i.e., natural ventilation, mechanical or mixed mode), age. This study aims define whether age-dependent differences in exist schools, achieved through the formulation specific coefficients each educational stage. A field was conducted naturally ventilated classrooms within same climate zone, collecting 1548 subjective responses objective measurements from students across different stages. results demonstrate schools lower than assumed values, especially primary (0.085°C-1), increases with students' variation reflected corresponding temperatures, which also increase Using coefficient lead significant estimation errors temperature, potentially up 1 °C, impacting both energy consumption. emphasizes there are expectations related To improve reliability adaptive models ensure accurate estimations, essential future research consider age when evaluating sensitivity.

Язык: Английский

Процитировано

7

Optimising Building Energy and Comfort Predictions with Intelligent Computational Model DOI Open Access
Salah Alghamdi, Waiching Tang, Sittimont Kanjanabootra

и другие.

Sustainability, Год журнала: 2024, Номер 16(8), С. 3432 - 3432

Опубликована: Апрель 19, 2024

Building performance prediction is a significant area of research, due to its potential enhance the efficiency building energy management systems. Its importance particularly evident when such predictions are validated against field data. This paper presents an intelligent computational model combining Monte Carlo analysis, Energy Plus, and artificial neural network (ANN) refine consumption thermal comfort predictions. addresses various combinations architectural design parameters their distributions, effectively managing complex non-linear relationships between response variables predictors. The model’s strength demonstrated through alignment with R2 values exceeding 0.97 for both discomfort hours during training testing phases. Validation investigation data further confirms accuracy, demonstrating average relative errors below 2.0% total 1.0% hours. In particular, underestimation −12.5% in discrepancies observed comparing simulation data, while presented smaller overestimation error (of +8.65%) discrepancy highlights reliability real-world metrics, marking it as valuable tool practitioners researchers sustainability.

Язык: Английский

Процитировано

5

Developing a new adaptive heat balance model to enhance thermal comfort predictions and reduce energy consumption DOI Creative Commons
Giulia Lamberti, Francesca Contrada, Andrea Kindinis

и другие.

Energy and Buildings, Год журнала: 2024, Номер 321, С. 114663 - 114663

Опубликована: Авг. 14, 2024

Accurate thermal comfort prediction is essential for enhancing both and energy efficiency in buildings. The heat balance adaptive models, while widely used, have been often questioned relation to their strengths limitations. To overcome these challenges, a comprehensive understanding of the physical parameters influencing exchange occupants' capacities essential. This study introduces an analytical method formulate new model, adPMV, which integrates models considering various perception. model PMV with factor associated running mean outdoor temperature, line theory. Tested on 1377 samples from European university classrooms, adPMV demonstrates enhanced accuracy (MAE=0.74, RMSE=1.01, MBE=-0.11) compared other models. Validation naturally ventilated classrooms ASHRAE's databases further confirms promising results, showcasing reduced error indices (MAE=0.68, RMSE=0.81, MBE=-0.03). Notably, using setpoints not only improves sensation but also leads substantial reduction heating demand, reaching up 40 %. adaptability this different contexts, such as building types, climates, HVAC system operations, presents it versatile tool exploring principles.

Язык: Английский

Процитировано

5

Optimization framework for daylight and thermal environment of retractable roof natatoriums based on generative adversarial network and genetic algorithm DOI

Zhongqi Yu,

Xinyi Ge,

Zhaoxiang Fan

и другие.

Energy and Buildings, Год журнала: 2024, Номер 321, С. 114695 - 114695

Опубликована: Авг. 18, 2024

Язык: Английский

Процитировано

3

A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices DOI
Junsoo Lee,

Seungwon Seo,

Soeun Han

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106085 - 106085

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

3

Advancements in adaptive thermal comfort models: Application to the case study of Le Corbusierʼs Maison Jeanneret DOI Creative Commons
Giulia Lamberti, Francesca Contrada, Andrea Kindinis

и другие.

Journal of Cultural Heritage, Год журнала: 2025, Номер 71, С. 453 - 464

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Integrating Infrared Facial Thermal Imaging and Tabular Data for Multimodal Prediction of Occupants' Thermal Sensation DOI
Haifeng Lan, Huiying Hou, Man Sing Wong

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112814 - 112814

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

A comprehensive method for exploratory data analysis and preprocessing the ASHRAE database for machine learning DOI
Amir Rahmanparast, Muhammed Milani, Muhammet Camcı

и другие.

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126556 - 126556

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Evaluation of the thermal performance of housing envelopes as passive cooling systems DOI Creative Commons
J G Ascanio-Villabona, B E Tarazona-Romero,

Miguel Arlenso Duran

и другие.

Sustainable Engineering and Innovation ISSN 2712-0562, Год журнала: 2023, Номер 5(2), С. 177 - 188

Опубликована: Дек. 18, 2023

Over the years, climate change has generated an increase in average temperature of planet, which led to greater consumption electrical energy for use air conditioning systems. Insulating envelope materials are considered a viable passive solution as they offer internal conditioning, cooling, and/or heating buildings that lead thermal comfort with reduced consumption. This article compares application different insulating existing single-family home located hot-dry climate. To this end, procedural methodology been applied by carrying out bibliographic review involutes currently used construction and 14 models proposed will be simulated under same input variables base model meteorological data city Bucaramanga validated from station on site. The results simulations show all decrease reference "base model"; difference can explained presence selected slightly properties wall. Finally, research allowed us determine occupants spaces inside range 61.96%, represents 5,438 hours modeled year, having 38.03% discomfort measured time. study useful selection envelopes cooling requirements.

Язык: Английский

Процитировано

5

Assessment of occupants’ adaptive capacity: a case study in northern Guizhou of China DOI Open Access
Jing Liu,

Essah Emmanuel,

Ting Cai

и другие.

Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, Год журнала: 2024, Номер 177(4), С. 246 - 251

Опубликована: Фев. 22, 2024

The thermal comfort of rural residents is a major issue related to people’s livelihood. Due differences in climatic factors (e.g. local climate) and non-climatic (such as building structures, economic social–cultural levels, living habits availability environmental control) between urban areas, participants have different requirements for given environment. This difference means that standards consider only conditions may not be applicable situations. Therefore, field study was conducted on the traditional residential houses with natural ventilation located areas northern Guizhou, China. aims understand indoor perceptions occupants total 513 subjects participated questionnaire survey. Most survey respondents accept environment which they reside, even if temperature within recommended range specified by international such Ashrae 55. adaptive predicted mean vote established using least-squares method. coefficient λ representing capacity twice Chinese standard, GB/T 50785-2012. confirms stronger adaptability cold winter. findings are beneficial improving carbon dioxide emission reduction

Язык: Английский

Процитировано

1