building simulation

In this paper, a 3-floors building with capacious spaces was introduced. It has unique shape and all-glass envelope, which worsens the thermotechnical performance of the envelope, deteriorates the indoor thermal comfort. By simulation, the indoor thermal environment of this building can be obtained.

Energy conservation at building’s operation stage is very important for the national economy. Building up reasonable methods to assess building operational energy consumption is critical and necessary. Japanese researchers use CEC (Coefficient of Energy Consumption), which is the ratio of actual energy consumption to ideal energy consumption, to assess building system’s operation level.

The tools that currently benchmark energy consumption beyond the building level are limited. This paper describes a framework utilizing simulation and spatial analysis tools to identify a credible set of campus energy performance indicators integrating both the building and site levels and taking into account the spatial arrangement surrounding each building. The research method propose a series of simulation experiments for a predefined group of building and site performance metrics classified under three categories: form, orientation and location.

Recent legislation and building regulations have aiming to reduce the energy demands of buildings and include renewable based micro-generation technologies.

There are several ways to attempt to model a building and its heat gains from external sources as well as internal ones in order to evaluate a proper operation and also audit retrofits actions. These models apply various techniques varying from simple regression to more physically grounded models.

This paper utilizes a probabilistic mold risk assessment method, introducing a novel mold risk indicator (MRI). The MRI captures the risk of mold occurrence at identified “trouble spots” under uncertainty. It will show how the MRI can enhance decision-making in a mold remediation case.

Traditional approaches to simulate airflow movements in buildings are computationally expensive and do not achieve real-time prediction of results. This paper discusses an Adaptive Localization Method (ALM) that significantly minimizes the simulation domain to achieve close to real-time predictions. As the user interacts with the space by modifying boundary conditions (opening a window, etc), while being immersed in an Augmented Reality (AR) environment, the ALM detects the changes and narrows down the simulation space significantly for re-simulation instantly.

Meteorological data set for China building thermal environment analysis has been developed by Climatic Data Center of China Meteorological Administration and Tsinghua University. The data set is based on observation meteorological data and provides hourly climate data for dynamic simulation. This paper introduces (1) source data of the data set; (2) the methodology used to get the hourly data based on the observation time-lapse data and daily data; (3) the select method of typical meteorological year and different typical years for design.

The paper discusses the concept of an adaptive thermal comfort design methodology and its impact on the selection, design and performance of climate control systems for large public spaces with transient occupancy in hot and humid climates. It outlines the design methodology which is based on providing localised comfort conditions to zones within a building based on its occupancy patterns, activity of occupants and acceptable thermal comfort criteria. The methodology focuses on quantifying the collective impact of space operating parameters on the thermal comfort of its occupants.

Double-skin facade (DSF) is an additional glass skin on the outside wall of the building. In this study a mechanically ventilated and equipped with solar protections (venetian blinds) facade was studied. The airflow inside the facade as well as opening/closing degree of the blinds was controlled in order to increase annual energy performance for both heating and cooling. Numerical simulations for climatic data of Lyon (France) showed good performance of studied DSF compared to a traditional façade.