2022
DOI: 10.1007/s12273-022-0909-9
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DeST 3.0: A new-generation building performance simulation platform

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Cited by 81 publications
(7 citation statements)
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“…Building energy consumption is not only intricately related to implementing green technology but is also influenced by factors such as climate, envelope structure, building equipment, and user behavior [22]. Su Y et al [23] analyzed the energy consumption of green commercial buildings in cold coastal areas.…”
Section: Factors Affecting Building Energy Consumptionmentioning
confidence: 99%
“…Building energy consumption is not only intricately related to implementing green technology but is also influenced by factors such as climate, envelope structure, building equipment, and user behavior [22]. Su Y et al [23] analyzed the energy consumption of green commercial buildings in cold coastal areas.…”
Section: Factors Affecting Building Energy Consumptionmentioning
confidence: 99%
“…DeST 3.0 tackles these challenges by developing advanced simulation modules for building envelopes, occupant behavior, and energy systems used by more than ten national/regional energy-saving standards. They concluded by discussing DeST 3.0 s applications in analyzing building energy conservation across extensive projects covering over 200 million m 2 , such as Beijing Capital Airport Terminal 3, the National Grand Theater, Beijing Olympic Main Stadium, Beijing Daxing International Airport, and Beijing Winter Olympic Main Stadium [48].…”
Section: Tools For Energy Performance Assessment Of Building Envelopesmentioning
confidence: 99%
“…[16] Double-skin and responsive façades EnergyPlus, TRNSYS ® , DesignBuilder ® , GenOpt, MATLAB ® [17] Building envelope with variable thermal performance DesignBuilder for numerical simulation [18] Seismic and energy retrofit for RC and URM structures Experimental tests and in situ experimentation [48] DeST 3.0 for building energy modeling DeST 3.0 software [49] Machine learning-based surrogate model for building retrofit solutions DesignBuilder for energy simulations and machine learning-based surrogate model [50] Sustainable retrofit strategies for brutalist-style residential complex Revit, Insight 360 simulations [51] Impact of innovative fenestration systems on cooling energy consumption using shading systems integrated into the glazing unit and a motorized sash TRNSYS 17 for numerical modeling and simulation…”
Section: Studymentioning
confidence: 99%
“…With this information and data, researchers can analyze national building carbon emission performance, illustrate more accurate and cost-effective ZCB measurement models and tools, predict scenarios and risks for future development, and develop strategies, techniques, and innovations [109,110]. By using the scientific results of the collected information (e.g., predictive models/tools and advanced building technology), the government can partner with businesses to achieve significant strides in energy efficiency [111,112]. It also drives demand for performance that exceeds code requirements (e.g., super-efficient equipment and passive or ultra-lowenergy buildings) and directly incentivizes building efficiency retrofits [108,113].…”
Section: Information Transparencymentioning
confidence: 99%