Building energy performance analysis at urban scale: A supporting tool for energy strategies and urban building energy rating identification

2021 ◽  
pp. 103220
Author(s):  
Tullio de Rubeis ◽  
Lorenzo Giacchetti ◽  
Domenica Paoletti ◽  
Dario Ambrosini
2013 ◽  
Vol 281 ◽  
pp. 649-652 ◽  
Author(s):  
Dae Kyo Jung ◽  
Dong Hwan Lee ◽  
Joo Ho Shin ◽  
Byung Hun Song ◽  
Seung Hee Park

Recently, the interest in increasing energy efficiency of building energy management system (BEMS) has become a high-priority and thus the related studies also increased. In particular, since the energy consumption in terms of heating and cooling system takes a large portion of the energy consumed in buildings, it is strongly required to enhance the energy efficiency through intelligent operation and/or management of HVAC (Heating, Ventilation and Air Conditioning) system. To tackle this issue, this study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in Energyplus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the Energyplus environment. And then, the HVAC models are modified throughout the comparison between the energy consumption patterns and the real-time monitoring in-field data. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of “supply air temperature schedule”.


2019 ◽  
Vol 47 (2) ◽  
pp. 370-378 ◽  
Author(s):  
Nicholas Wardhana ◽  
Aikaterini Chatzivasileiadi ◽  
Wassim Jabi ◽  
Robert Aish ◽  
Simon Lannon

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