Author(s):
Panão, Marta Oliveira 
Date: 2014
Persistent ID: http://hdl.handle.net/10400.9/2366
Origin: Repositório do LNEG
Subject(s): Cooling Energy; Building thermal code; Climate change; Benchmark
Document details
Revisiting cooling energy requirements of residential buildings in Portugal in ...
Description
Since climate data for building energy simulation have recently been refreshed with 1971–2000 observational data and theoretically influenced by a conservative approach of climate change, benchmarks forcooling energy requirements for residential buildings are discussed for a set of 30 regions in Portugal,mainland and islands, as a contribution to the next revision of Portuguese building thermal code (DL118/2013). The main conclusion is that gain utilization factor correlates with average external air tem-perature for summer season by a logarithmic function. The benchmark for gain utilization factor playsan important role in defining cooling energy requirements. A set of recommendations are suggested:(i) using the gain utilization factor as an index to evaluate the overheating risk, thus, for values abovea defined threshold cooling energy needs could be neglected for primary energy demand quantifica-tion; this measure may encourage designers to integrate passive cooling systems; (ii) defining a nationalroadmap based on technological advances of shading solutions for benchmark parameterization of thewest equivalent collecting area by unit of floor area starting from 0.065.
Since climate data for building energy simulation have recently been refreshed with 1971–2000 observational data and theoretically influenced by a conservative approach of climate change, benchmarks forcooling energy requirements for residential buildings are discussed for a set of 30 regions in Portugal,mainland and islands, as a contribution to the next revision of Portuguese building thermal code (DL118/2013). The main conclusion is that gain utilization factor correlates with average external air tem-perature for summer season by a logarithmic function. The benchmark for gain utilization factor playsan important role in defining cooling energy requirements. A set of recommendations are suggested:(i) using the gain utilization factor as an index to evaluate the overheating risk, thus, for values abovea defined threshold cooling energy needs could be neglected for primary energy demand quantifica-tion; this measure may encourage designers to integrate passive cooling systems; (ii) defining a nationalroadmap based on technological advances of shading solutions for benchmark parameterization of thewest equivalent collecting area by unit of floor area starting from 0.065.
Document Type
Article
Language English
Language English
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