Abstract
Comfort level in the human body is an index that is always difficult to evaluate in a general and objective manner. Therefore, building owners and managers have been known to adjust environmental physical parameters such as temperature, humidity, and air quality based on people’s subjective sensations to yield satisfactory feelings of comfort. Furthermore, electricity consumption could be reduced by minimizing unnecessary use of heating and cooling equipment based on precise knowledge of comfort levels in interior spaces. To achieve the aforementioned objectives, this study undertook the following four tasks: first, providing visualization and smart suggestion functions to assist building managers and users in analyzing and developing plans based on the demands of space usage and electrical equipment; second, using Internet of Things technology to minimize the difference between real situations and those simulated in building information modeling (BIM); third, accurately evaluating interior environment comfort levels and improving equipment operating efficiency based on quantized comfort levels; and fourth, establishing a persuasive workflow for building energy saving systems. Through developing this system, COZyBIM will help to enhance the satisfactions of comfort level in interior space and operate energy consuming equipment efficiently, to reach the target of energy saving.
Highlights
In recent years, energy consumption of buildings and environmental pollution have become increasingly serious issues, and the concept of the green building has arisen
In the design planning phase, designers often use stand-alone software such as EnergyPlus [3], Climate Consultant [4], building information modeling (BIM) based versions such as Bentley AECOsim Energy Simulator [5], Autodesk Insight 360, and Safaira [6] for building simulation and analysis in operation in space comfort and energy consumption, a major shortcoming of a stand-alone version or a BIM based version of the simulation evaluation software is that it is impossible to simulate the evaluation of the operational phase results on the basis of actual conditions based on the specific space environment
Energy saving strategies and and comfort level level will change depending on the type of space
Summary
Energy consumption of buildings and environmental pollution have become increasingly serious issues, and the concept of the green building has arisen. Following the concept of the green building, the smart building has emerged, which emphasizes more the comfort and convenience of people in the building space. The perception of comfort is majorly influenced by the physical, psychological, and cultural backgrounds and experiences of the individual [1,2]. It is difficult to assess the comfort level of a space in various physical environments when the occupants perform activities indoors in an objective and quantitative manner. In the design planning phase, designers often use stand-alone software such as EnergyPlus [3], Climate Consultant [4], BIM based versions such as Bentley AECOsim Energy Simulator [5], Autodesk Insight 360, and Safaira [6] for building simulation and analysis in operation in space comfort and energy consumption, a major shortcoming of a stand-alone version or a BIM based version of the simulation evaluation software is that it is impossible to simulate the evaluation of the operational phase results on the basis of actual conditions based on the specific space environment. Some scholars attempt to use IoT (Internet of Things) technology to collect basic environmental information of the locations of individual projects for monitoring the architectural space
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
