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Within the framework of building energy assessment, this article proposes to use a derivative based sensitivity analysis of heat transfer models in a building envelope. Two, global and local, estimators are obtained at low computational…

计算工程、金融与科学 · 计算机科学 2021-11-18 Ainagul Jumabekova , Julien Berger , Aurélie Foucquier

Building performance is commonly calculated during the last phases of design, where most design specifications get fixed and are unlikely to be majorly modified based on design programs. Predictive models could play a significant role in…

应用统计 · 统计学 2021-12-16 Zohreh Shaghaghian , Fatemeh Shahsavari , Elham Delzendeh

The thermal characterisation of a building envelope is usually best performed from on site measurements with controlled heating power set points. Occupant-friendly measurement conditions provide on the contrary less informative data.…

The estimation of wall thermal properties by \emph{in situ} measurement enables to increase the reliability of the model predictions for building energy efficiency. Nevertheless, retrieving the unknown parameters has an important…

计算工程、金融与科学 · 计算机科学 2021-11-18 Julien Berger , Benjamin Kadoch

A two-dimensional model is proposed for energy efficiency assessment through the simulation of heat transfer in building envelopes, considering the influence of the surrounding environment. The model is based on the \DF ~approach that…

计算工程、金融与科学 · 计算机科学 2021-11-18 Julien Berger , Suelen Gasparin , Walter Mazuroski , Nathan Mendes

A building design aiding tool for space allocation and thermal performance optimization is being developed to help practitioners during the building space planning phase, predicting how it will behave regarding energy consumption and…

人机交互 · 计算机科学 2018-06-18 Marco S. Fernandes , E. Rodrigues , Adélio R. Gaspar , Álvaro Gomes

Energy requirements for heating and cooling of buildings constitute a major fraction of end use energy consumed. Therefore, it is important to provide the occupant comfort requirements in buildings in an energy efficient manner. However,…

系统与控制 · 电气工程与系统科学 2021-10-27 Vikas Chandan

Modeling buildings' heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents' behavior. Gray-box models offer a causal inference of those…

机器学习 · 计算机科学 2019-02-20 Nilavra Pathak , James Foulds , Nirmalya Roy , Nilanjan Banerjee , Ryan Robucci

The analytical prediction of building energy performance in residential buildings based on the heat losses of its individual envelope components is a challenging task. It is worth noting that this field is still in its infancy, with…

Soft matter materials and polymers are widely used in the controlled delivery of drugs. Simulation and modeling provide insight at the atomic scale enabling a level of control unavailable to experiments. We present a workflow protocol for…

软凝聚态物质 · 物理学 2022-03-08 James P. Andrews , Estela Blaisten-Barojas

The \emph{in situ} estimation of the thermal properties of existing building wall materials is a computationally expensive procedure. Its cost is highly proportional to the duration of measurements. To decrease the computational cost a…

计算工程、金融与科学 · 计算机科学 2021-11-18 Ainagul Jumabekova , Julien Berger , Aurélie Foucquier , George S. Dulikravich

Building energy modeling is a key tool for optimizing the performance of building energy systems. Historically, a wide spectrum of methods has been explored -- ranging from conventional physics-based models to purely data-driven techniques.…

系统与控制 · 电气工程与系统科学 2025-07-24 Leandro Von Krannichfeldt , Kristina Orehounig , Olga Fink

Standard (black-box) regression models may not necessarily suffice for accurate identification and prediction of thermal dynamics in buildings. This is particularly apparent when either the flow rate or the inlet temperature of the thermal…

系统与控制 · 计算机科学 2016-08-11 Georgios C. Chasparis , Thomas Natschlaeger

A common approach to assess the performance of fire insulation panels is the component additive method (CAM). The parameters of the CAM are based on the temperature-dependent thermal material properties of the panels. These material…

应用统计 · 统计学 2020-01-08 P. -R. Wagner , R. Fahrni , M. Klippel , A. Frangi , B. Sudret

The use of materials in particle accelerator applications implies the consideration of physical properties in different environments than usual industrial applications. Cryogenic temperatures, high radiation, medium to high vacuum and high…

加速器物理 · 物理学 2025-09-25 Ana Arauzo

In this study, an early fire detection algorithm has been proposed based on low cost array sensing system, utilizing gas sensors, dust particles and ambient sensors such as temperature and humidity sensor. The odor or smell-print emanated…

计算机与社会 · 计算机科学 2017-08-30 Allan Melvin Andrew , Ammar Zakaria , Shaharil Mad Saad , Ali Yeon Md Shakaff

Polyurethane (PU) possesses excellent thermal properties, making it an ideal material for thermal insulation. Incorporating Phase Change Materials (PCMs) capsules into Polyurethane (PU) has proven to be an effective strategy for enhancing…

计算物理 · 物理学 2023-11-17 Bokai Liu , Yizheng Wang , Timon Rabczuk , Thomas Olofsson , Weizhuo Lu

The thermal response function given to a unit-step dissipation accurately characterizes the thermal system. Instead of the thermal response function the so-called structure function describing three-dimensional as the equivalent model of…

材料科学 · 物理学 2007-09-13 E. Kollár , V. Szekely

A bioclimatic approach to designing comfortable buildings in hot and humid tropical regions requires, firstly, some preliminary, important work on the building envelope to limit the energy contributions, and secondly, an airflow…

综合物理 · 物理学 2012-12-24 Alain Bastide , Alfred Jean Philippe Lauret , François Garde , Harry Boyer

Polyurethane (PU) is an ideal thermal insulation material due to its excellent thermal properties. The incorporation of Phase Change Materials (PCMs) capsules into Polyurethane (PU) has been shown to be effective in building envelopes. This…

计算工程、金融与科学 · 计算机科学 2023-08-28 Bokai Liu , Weizhuo Lu , Xiaoyue Hu , Chao Zhang , Cuixia Wang , Yilin Qu , Thomas Olofsson
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