Creation of a Low-Carbon Healthy Building Environment with Intelligent Technologies
A topical collection in Buildings (ISSN 2075-5309). This collection belongs to the section "Building Energy, Physics, Environment, and Systems".
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2. Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK
Interests: building environment and control; air quality and health; urban environment and design; fast prediction of built environment
Special Issues, Collections and Topics in MDPI journals
Interests: building mechanical systems; building energy; fire smoke control
Special Issues, Collections and Topics in MDPI journals
School of Architecture, Southeast University, Nanjing, China
Interests: HVAC; Control and Optimization; Demand-Controlled Ventilation; Occupancy Detection; Machine Learning and Computer Vision; Building Energy Management; Building Environment; Low Carbon Heating and Cooling
Topical Collection Information
Dear Colleagues,
The building sector accounts for 1/3 of global carbon emissions. With various decarbonization plans initiated around the world, the need to reduce carbon emissions from buildings is becoming increasingly critical. Aiming to create a healthy and comfortable indoor environment, building systems are designed and operated to provide required services, e.g., HVAC and lighting systems. However, a healthy or comfortable indoor environment is normally associated with high carbon emissions. Building a healthy and comfortable yet low-carbon building environment thus becomes an urgent research challenge. Given the complex interactions among the environment, buildings, and energy systems, optimized building environment solutions require an interdisciplinary endeavor, e.g., building environment, automatic control, architecture, and artificial intelligence. With the rapid development in information and communication technologies, various intelligent monitoring, diagnosing, control, and optimization technology systems have been applied in buildings.
This Topical Collection aims to gather innovative research and development in intelligent buildings to create a low-carbon, healthy, and comfortable building environment. The Topical Collection covers original research and review studies, including but not limited to:
- Online monitoring and prediction;
- Low-cost sensing and detection;
- Low carbon heating and cooling;
- Sustainable architecture design;
- Demand-based control and optimization;
- Modeling, control, and optimization of HVAC and lighting systems;
- Measurement and analysis of building energy and environment data;
- Intelligent control of building integrated renewable energy systems;
- Artificial intelligence for building energy and environment systems;
- Power management, video surveillance, data acquisition, and network.
Prof. Dr. Shi-Jie Cao
Dr. Dahai Qi
Dr. Junqi Wang
Collection Editors
Manuscript Submission Information
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