Next Article in Journal
Tackling Air Pollution in China—What do We Learn from the Great Smog of 1950s in LONDON
Next Article in Special Issue
Building Behavior Simulation by Means of Artificial Neural Network in Summer Conditions
Previous Article in Journal
Information Extraction of High-Resolution Remotely Sensed Image Based on Multiresolution Segmentation
Previous Article in Special Issue
Alternative Testing Methods for Predicting Health Risk from Environmental Exposures
Open AccessArticle

Analysis of Two Models for Evaluating the Energy Performance of Different Buildings

Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2014, 6(8), 5311-5321; https://doi.org/10.3390/su6085311
Received: 5 June 2014 / Revised: 4 August 2014 / Accepted: 5 August 2014 / Published: 14 August 2014
Nowadays it is possible to employ several software packages to evaluate building’s energy performance, each of them based on a different calculation code, with different boundary conditions in terms of environmental temperature, solar radiation, wind velocity and relative humidity. In this contribution, a comparison between two calculation codes, taking into account different types of buildings, has been carried out. In particular, a semi-stationary calculation code and a dynamic one have been employed to determine energy demands of three different building’s types: an old building, a house and a flat. Analyzing semi-stationary conditions (consequently simplified environmental conditions), a software which applies the UNI TS 11300 standard has been considered. This standard defines the procedures for the national implementation of the UNI EN ISO 13790. Furthermore, in order to consider the environmental conditions variation, a well-known dynamic software has been used. View Full-Text
Keywords: calculation code; TRNSYS; building energy performance; simulation calculation code; TRNSYS; building energy performance; simulation
Show Figures

Figure 1

MDPI and ACS Style

Evangelisti, L.; Battista, G.; Guattari, C.; Basilicata, C.; De Lieto Vollaro, R. Analysis of Two Models for Evaluating the Energy Performance of Different Buildings. Sustainability 2014, 6, 5311-5321.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop