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Publicação
Assessing the Energy-Saving Potential of Passive Systems in a Worten store
Orientador(es)
Resumo(s)
Globally, a large share of energy consumption is used to cool buildings. With climate change, cooling
needs will tend to increase while heating needs will decrease. After transport, energy consumption in
buildings is the fastest-growing area, with a 26% expected increase between 2005-2030 and cooling
demand in commercial buildings rising 275% by 2050.
This study addressed the existing MV system of a retail store by implementing NV techniques during
daytime (CV) and night-time (NTV) and by operating a skylights’ shading system according to the
indoor temperature, covering half or its entire area. The EP software simulated the application of these
systems. The store’s model was calibrated within an annual deviation of ± 10% in EUI and volume. The
actual HVAC consumption was correlated with several parameters for each season of the year, with EUI
showing greater correlation with most parameters in summer, followed by autumn, spring and winter.
All eighteen scenarios reduced the Pilot’s annual EUI from 13,8% to 54,9%. Twelve of these included
shading, and the absorption of solar radiation made shading largely a valuable option, with more EUI
reduction in total shading. Despite the EUI reduction, when considering average temperatures and
comfort, fewer scenarios (mostly hybrid) were close to or better than scenario M. A Pearson correlation
showed that comfort increased as indoor and operative temperatures decreased. Viable scenarios had
energy-savings between 13,8% and 27,9%. Partially or fully shaded skylights resulted in different
average radiant temperatures. HN shaded variants yielded equal EUI although reducing HN’s overall
consumption by 6,3 kWh/m2
, demonstrating that pre-cooling a building reduces the next day's cooling
load.
An impossibility of transitioning from partial to total shading in one model or simulation led to
proposing an intermediate scenario to further implement in the Pilot: a hybrid scenario that combines
both HCNps and HCNts scenarios.
Descrição
Tese de mestrado, Engenharia da Energia e Ambiente, 2023, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
Simulação Térmica Dinâmica Avaliação do Desempenho Energético Ventilação Híbrida Loja de Retalho Sistema de Sombreamento dos Lanternins Teses de mestrado - 2023