This work presents the measured performance data related to the very-first Energy + building in Dubai certified by the Passive House Institute. The building is a two-floor office structure, with 550 m 2 total surface, designed under the guide and the scientific supervision of a Bergamo University research group, jointly to the Mohammed Bin Rashid Space Centre (MBRSC). The goal of the project was to assure a high level of internal comfort all over the year by using only solar energy. The building architecture has been designed to minimize the cooling load and the energy demand. The energy system is based on a 40 kW p PV field coupled with a 48 kWh electric storage and a high-efficiency chiller (reversible heat pump). Transient simulations by Trnsys code have been carried out to optimize both the thermal envelope and the energy plants so to make the building energy-autonomous 24/7. The numerical predictions of the energy performance (including cooling load, PV production and power consumption for chiller, lighting and appliances) are compared to the real data measured by a sophisticated monitoring system, including sensors located in the roof, in the external walls and in the energy systems. The field measurements confirm that the model predictions were accurate both in terms of peak and annual values. The small variations between prediction and real data show that both thermal envelope and PV field perform better than expected. This building is a pioneering pilot-project: the goal was to show that new sustainable construction stan- dards using only solar energy are possible in the United Arab Emirates (UAE) and that this is a viable solution to reduce the carbon footprint in all the Gulf region. The strategic importance of an accurate modeling activity leading to an optimal design has been proved. The monitored data under real operat- ing conditions have confirmed that the expected targets in terms of energy savings and carbon footprint reduction have been successfully achieved.
(2019). Monitored performance of the first energy+ autonomous building in Dubai [journal article - articolo]. In ENERGY AND BUILDINGS. Retrieved from http://hdl.handle.net/10446/150224
Monitored performance of the first energy+ autonomous building in Dubai
Franchini, G.;Brumana, G.;Perdichizzi, A.
2019-01-01
Abstract
This work presents the measured performance data related to the very-first Energy + building in Dubai certified by the Passive House Institute. The building is a two-floor office structure, with 550 m 2 total surface, designed under the guide and the scientific supervision of a Bergamo University research group, jointly to the Mohammed Bin Rashid Space Centre (MBRSC). The goal of the project was to assure a high level of internal comfort all over the year by using only solar energy. The building architecture has been designed to minimize the cooling load and the energy demand. The energy system is based on a 40 kW p PV field coupled with a 48 kWh electric storage and a high-efficiency chiller (reversible heat pump). Transient simulations by Trnsys code have been carried out to optimize both the thermal envelope and the energy plants so to make the building energy-autonomous 24/7. The numerical predictions of the energy performance (including cooling load, PV production and power consumption for chiller, lighting and appliances) are compared to the real data measured by a sophisticated monitoring system, including sensors located in the roof, in the external walls and in the energy systems. The field measurements confirm that the model predictions were accurate both in terms of peak and annual values. The small variations between prediction and real data show that both thermal envelope and PV field perform better than expected. This building is a pioneering pilot-project: the goal was to show that new sustainable construction stan- dards using only solar energy are possible in the United Arab Emirates (UAE) and that this is a viable solution to reduce the carbon footprint in all the Gulf region. The strategic importance of an accurate modeling activity leading to an optimal design has been proved. The monitored data under real operat- ing conditions have confirmed that the expected targets in terms of energy savings and carbon footprint reduction have been successfully achieved.File | Dimensione del file | Formato | |
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