A new understanding of building energy consumption

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Orosa, JA (Autor) Outra; Armando C. Oliveira (Autor) FEUP

Revista

Título: Energy Education Science and Technology Part A: Energy Science and Research

Vol. 29

Páginas: 531-542

ISSN: 1308-772X

Editora: SILA SCIENCE

Indexação

ISI Web of Knowledge - 17 Citações

ISI Web of Science

Scopus - 28 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-002-BW2

Abstract (EN): Energy consumption has emerged as one of the most important factors to be considered in the design of new buildings, as well as in building retrofitting. Several software resources are available to estimate building energy consumption during a whole year, including different standards for building energy certification. However, adhering to one of the main objectives of Annex 55 of the International Energy Agency, only a few methods are available to identify the best possible improvements to reduce energy consumption in existing or new buildings. This paper presents a new tool to define the best option to reduce building energy consumption. In this context, ISO standard 13790 calculation procedure was developed based on the Monte Carlo method and the results showed the probability of energy consumption as a Weibull model. Furthermore, a map of different Weibull models in line with different input parameters was developed as a design guide for the future. However, it was found that thermal inertia should only be considered in instantaneous energetic analysis and not in a yearly study and that the effect of the number of occupants on energy consumption could be obtained only for the heating season and not during the cooling season. This was not possible because it altered the normal distribution of building energy consumption. In short, a new tool had to be developed to define the probability of energy consumption of the different input parameters when designing a building with energy saving strategies.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12