Influence of input data uncertainty in school buildings energy simulation

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Ricardo M. S. F. Almeida (Author) Other; Nuno M. M. Ramos (Author) FEUP

Conference proceedings International

Title: 10th NSB

Pages: 370-377

10th Nordic Symposium on Building Physics

Lund City Centre, Sweden, June 15-19, 2014

Scientific classification

FOS: Engineering and technology > Civil engineering

CORDIS: Technological sciences > Engineering > Civil engineering

Other information

Abstract (EN): In developed countries, the building sector is responsible for a very significant share of the total energy consumption. A more detailed and rigorous analysis of building energy performance became possible due to the building simulation software improvement. Traditionally, buildings energy simulation requires the definition of a set of input parameters, which are usually considered as deterministic, neglecting the fact that in reality they have a stochastic nature. Hence, if one intends to evaluate the uncertainty in simulation due to the uncertainty of the input parameters, stochastic methods, such as Monte Carlo simulations should be employed. This paper presents a methodology for the stochastic simulation of school buildings for tackling input data uncertainty. The Monte Carlo method application in the evaluation of the uncertainty of the heat demand of a school building provides an example case where the opportunities and difficulties of the method are explored. The methodology includes parameter characterization, sampling procedure, simulation automatization and sensitivity analysis. Its application results in increased knowledge of the building, allowing to define targets that include the stochastic effect.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8