scholarly journals Detailed Cross Comparison of Building Energy Simulation Tools Results using a reference office building as a case study

2021 ◽  
pp. 111260
Author(s):  
Mara Magni ◽  
Fabian Ochs ◽  
Samuel de Vries ◽  
Alessandro Maccarini ◽  
Ferdinand Sigg
Keyword(s):  
Building Energy ◽  
Energy Simulation ◽  
Office Building ◽  
Building Energy Simulation ◽  
Simulation Tools

scholarly journals Hourly simulation results of building energy simulation tools using a reference office building as a case study

Data in Brief ◽  
2021 ◽  
pp. 107370
Author(s):  
Mara Magni ◽  
Fabian Ochs ◽  
Samuel de Vries ◽  
Alessandro Maccarini ◽  
Ferdinand Sigg
Keyword(s):  
Building Energy ◽  
Energy Simulation ◽  
Office Building ◽  
Building Energy Simulation ◽  
Simulation Tools ◽  
Simulation Results

scholarly journals Updated Typical Weather Years for the Energy Simulation of Buildings in Mediterranean Climate. A Case Study for Sicily

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4115 ◽  
Author(s):  
Vincenzo Costanzo ◽  
Gianpiero Evola ◽  
Marco Infantone ◽  
Luigi Marletta
Keyword(s):  
Residential Building ◽  
Building Energy ◽  
Energy Simulation ◽  
Weather Data ◽  
Weather Station ◽  
Simulation Tools ◽  
The Difference ◽  
Energy Simulations

Building energy simulations are normally run through Typical Weather Years (TWYs) that reflect the average trend of local long-term weather data. This paper presents a research aimed at generating updated typical weather files for the city of Catania (Italy), based on 18 years of records (2002–2019) from a local weather station. The paper reports on the statistical analysis of the main recorded variables, and discusses the difference with the data included in a weather file currently available for the same location based on measurements taken before the 1970s but still used in dynamic energy simulation tools. The discussion also includes a further weather file, made available by the Italian Thermotechnical Committee (CTI) in 2015 and built upon the data registered by the same weather station but covering a much shorter period. Three new TWYs are then developed starting from the recent data, according to well-established procedures reported by ASHRAE and ISO standards. The paper discusses the influence of the updated TWYs on the results of building energy simulations for a typical residential building, showing that the cooling and heating demand can differ by 50% or even 65% from the simulations based on the outdated weather file.

Application of mobile positioning occupancy data for building energy simulation: An engineering case study

2018 ◽  
Vol 141 ◽  
pp. 1-15 ◽  
Author(s):  
Zhihong Pang ◽  
Peng Xu ◽  
Zheng O'Neill ◽  
Jiefan Gu ◽  
Shunian Qiu ◽  
...  
Keyword(s):  
Building Energy ◽  
Energy Simulation ◽  
Building Energy Simulation ◽  
Mobile Positioning

Improving direct solar shading calculations within building energy simulation tools

2013 ◽  
Vol 6 (6) ◽  
pp. 437-448 ◽  
Author(s):  
Ismael Maestre ◽  
Luis Pérez-Lombard ◽  
Juan Foncubierta ◽  
Paloma Cubillas
Keyword(s):  
Building Energy ◽  
Energy Simulation ◽  
Building Energy Simulation ◽  
Simulation Tools ◽  
Solar Shading

Three-Dimensional Numerical Evaluation of Thermal Performance of Uninsulated Wall Assemblies

2011 ◽  
Author(s):  
El Hassan Ridouane ◽  
Marcus V. A. Bianchi
Keyword(s):  
Thermal Performance ◽  
Energy Savings ◽  
Three Dimensional ◽  
Building Energy ◽  
Energy Performance ◽  
Energy Simulation ◽  
Cavity Surface ◽  
Building Energy Simulation ◽  
Simulation Tools ◽  
Whole Building Energy Simulation

Uninsulated wall assemblies are typical in older homes, as many were built before building codes required insulation. Building engineers need to understand the thermal performance of these assemblies as they consider home energy upgrades if they are to properly predict pre-upgrade performance and, consequently, prospective energy savings from the upgrade. Most whole-building energy simulation tools currently use simplified, 1D characterizations of building envelopes and assume a fixed thermal resistance that does not vary over a building’s temperature range. This study describes a detailed 3D computational fluid dynamics model that evaluates the thermal performance of uninsulated wall assemblies. It accounts for conduction through framing, convection, and radiation and allows for material property variations with temperature. Parameters that were varied include ambient outdoor temperature and cavity surface emissivity. The results may serve as input for building energy simulation tools that model the temperature-dependent energy performance of homes with uninsulated walls.

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