Laboratory buildings are characterized by high energy consumption due to intensive ventilation requirements, strict indoor environmental conditions and significant internal heat gains. Conventional static calculation methods are often insufficient to represent the real energy behaviour of such facilities. This thesis evaluates the energy performance of a renovated laboratory building through a dynamic simulation and comparison approach. A dynamic thermal model of the post-renovation configuration is developed using MC4Suite, with particular attention to ventilation-driven loads, internal heat gains and system control strategies. The model is calibrated to ensure physically consistent seasonal behaviour and realistic indoor conditions. The dynamic simulation results are then compared with real operational energy consumption data collected during building operation. The analysis highlights the influence of operational conditions and control strategies on energy performance, demonstrating the importance of dynamic modelling for accurately assessing laboratory buildings.

Laboratory buildings are characterized by high energy consumption due to intensive ventilation requirements, strict indoor environmental conditions and significant internal heat gains. Conventional static calculation methods are often insufficient to represent the real energy behaviour of such facilities. This thesis evaluates the energy performance of a renovated laboratory building through a dynamic simulation and comparison approach. A dynamic thermal model of the post-renovation configuration is developed using MC4Suite, with particular attention to ventilation-driven loads, internal heat gains and system control strategies. The model is calibrated to ensure physically consistent seasonal behaviour and realistic indoor conditions. The dynamic simulation results are then compared with real operational energy consumption data collected during building operation. The analysis highlights the influence of operational conditions and control strategies on energy performance, demonstrating the importance of dynamic modelling for accurately assessing laboratory buildings.

Energy performance assessment of a renovated laboratory building

ARFAOUI, WAEL
2025/2026

Abstract

Laboratory buildings are characterized by high energy consumption due to intensive ventilation requirements, strict indoor environmental conditions and significant internal heat gains. Conventional static calculation methods are often insufficient to represent the real energy behaviour of such facilities. This thesis evaluates the energy performance of a renovated laboratory building through a dynamic simulation and comparison approach. A dynamic thermal model of the post-renovation configuration is developed using MC4Suite, with particular attention to ventilation-driven loads, internal heat gains and system control strategies. The model is calibrated to ensure physically consistent seasonal behaviour and realistic indoor conditions. The dynamic simulation results are then compared with real operational energy consumption data collected during building operation. The analysis highlights the influence of operational conditions and control strategies on energy performance, demonstrating the importance of dynamic modelling for accurately assessing laboratory buildings.
2025
Energy performance assessment of a renovated laboratory building
Laboratory buildings are characterized by high energy consumption due to intensive ventilation requirements, strict indoor environmental conditions and significant internal heat gains. Conventional static calculation methods are often insufficient to represent the real energy behaviour of such facilities. This thesis evaluates the energy performance of a renovated laboratory building through a dynamic simulation and comparison approach. A dynamic thermal model of the post-renovation configuration is developed using MC4Suite, with particular attention to ventilation-driven loads, internal heat gains and system control strategies. The model is calibrated to ensure physically consistent seasonal behaviour and realistic indoor conditions. The dynamic simulation results are then compared with real operational energy consumption data collected during building operation. The analysis highlights the influence of operational conditions and control strategies on energy performance, demonstrating the importance of dynamic modelling for accurately assessing laboratory buildings.
Energy Performance
HVAC Systems
Energy Modelling
Operational Monitori
Energy Assessment
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/108189