## 2 Current State of Knowledge  
The latest studies on sustainable built environment assessment are comprehensive; for example, a study analyzing the consumption pattern of housing in Saudi Arabia using parametric analysis found that the residential energy consumption was significantly affected, not only by the building type, but also by occupant behavior, meteorological conditions, envelope structure, and air conditioning settings [28]. The relationship between the thermal performance of the envelope and building energy consumption was analyzed in different climates using DeST-C to simulate the annual dynamic energy consumption and to determine the optimal protective layer thickness [29]. Energy Plus was used to develop a multi-object and parameter optimization model through a case study, which can comprehensively optimize multiple design parameters [30]. An ISCOA-LSTM sine-cosine optimization algorithm was proposed, and the experimental results showed stable and accurate functions, which could be used as a tool to solve the problem of energy consumption prediction [31]. A coordinated online multi-object control strategy based on the cooperative game theory was proposed to effectively achieve the goal of zero energy/low energy consumption [32]. A passive energy saving technology system and its evaluation criteria were introduced and validated through real cases [33]. Sustainable building codes in different countries vary in object, content, mechanism, process, index category, method, and weight setting [34]. The United States and China released the latest version of sustainable building assessment standards in 2013 and 2014, respectively. In particular, ESGB2014 contains a significant change from the previous version; thus, it is necessary to compare the latest assessment standards for sustainable buildings in different countries [35]. The latest version of China's sustainable building evaluation standard, Evaluation Standard for Green Building (ESGB), was compared with the Leadership in Energy and Environmental Buildings (LEED) of the United States and British Research Establishment Environmental Assessment Method (BREAM) of the United Kingdom [36]. Sustainable buildings represent the response of the building industry to the need for sustainable development, such as improving health and the environment, energy and water efficiency, and reducing natural resource consumption [10]. The ability to import building geometry and building heat data from building information modeling (BIM) has great potential to reduce time and uncertainty in building energy modeling. The complexity of diversified energy sources and a set of general methods to characterize the flexibility of diversified energy systems were proposed using BIM [37]. There was considerable interest in the interoperability of data between complex BIM applications and building energy analysis tools. The Extensible Markup Language (XML) is a set of rules for designing text format specifications that provide a standard way to define data in BIM. The gbXML schema is the most common data format used to exchange building information between BIM and energy simulation tools, such as Energy Plus and Ecotect. Many BIM tools and vendors, such as Autodesk and Bentley, support gbXML for a better exchange of architectural information between BIM and various engineering applications [15]. Time could be saved by importing geometric models from BIM into the energy simulation tool without having to rebuild the building geometry in the simulation interface [38]. The files in gbXML format are space-based models, and the components of the building envelope are simplified in the form of surfaces, without thickness and detail of the components, but can carry richer additional information, such as component materials, thermal performance parameters, etc. The thermal properties of building components, such as thermal conductivity and specific heat, are derived entirely from the gbxml-based BIM and are passed directly to the energy simulation engine.