Open AccessEnergy Performance of Two 18th Century Blocks in Lisbon Pombaline Quarter
Author(s) -
Carlos Duarte,
António Morais
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/960/3/032043
Subject(s) - block (permutation group theory) , constructive , architectural engineering , energy (signal processing) , quarter (canadian coin) , architecture , city block , plan (archaeology) , set (abstract data type) , quality (philosophy) , computer science , engineering , civil engineering , industrial engineering , geometry , mathematics , archaeology , statistics , geography , philosophy , process (computing) , epistemology , programming language , operating system
The 1758 Lisbon Pombaline quarter Reconstruction Plan consists of a homogeneous urban fabric, structured by rectangular shaped residential blocks, built with a system that matches heavy mass construction elements with a light timber structure, called “ Gaiola ”. Although Pombaline architecture and construction generate consensus among authors about its importance as a historical fact and exceptional construction quality, this kind of buildings experienced several modifications over time with severe consequences to their built fabric properties and architectural elements. However, if we take into consideration both constructive and architectural inherent features of the 18 th century Pombaline block, it has the potential to hold and achieve high-energy performances if considered as a “single” unit. In this way, this paper intends to analyse and compare the energy performance of two block units replicating the “original” 18 th century Pombaline design and constructive features. The method involves the conception of a Building Energy Model of two case studies with different volumes, form and orientation, loaded with energy parameters related to Pombaline construction, and subsequently simulated with the EnergyPlus dynamic analysis software. In order to calculate the energy demands for heating and cooling, we set the indoor temperature value between 18°C and 25°C. The results show that due to its architectural features, Block T presents a better overall performance compared with Block H, demanding 8% less energy and displaying less time in thermal discomfort. Finally, the blocks east side and the highest story registered the worst energy performance in both case studies.