Sustainable Building Energy Analysis
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 655
Special Issue Editors
Interests: urban building energy modeling; building retrofit analysis; building energy efficiency; occupant behavior
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; statistical modeling; urban energy; building control
Special Issues, Collections and Topics in MDPI journals
Interests: building and renewable energy integration (grid-interactive efficient building); artificial intelligence and sensing for building smartness; sustainable building design
Special Issue Information
Dear Colleagues,
Continuous urbanization has significantly increased energy consumption and greenhouse gas emissions. As one of the largest sectors in terms of energy consumption, buildings consume 30% to 75% of primary energy. With the development of sensing technology and internet of things (IOT), an increasing amount of data is collected in buildings. How to analyze these data to improve the energy efficiency of buildings becomes a critical challenge for sustainable development.
Many efforts have been made to improve the building energy efficiency and reduce carbon emissions at different stages of the building lifecycle. At the design stage, some passive or sustainable technologies are considered, such as architectural shading, natural ventilation, passive cooling, daylighting, etc. Renewable energy has been widely used in buildings, including photovoltaics, solar thermal systems, geothermal heat pumps, etc. In addition, electricity or thermal energy storage systems are typically applied to handle the uncertainty of renewable systems and, hence, ensure the success of building and renewable energy integration. Building energy modeling and data analysis can help to optimize sustainable design for new constructions. At the operation stage, building energy analysis is essential for building control optimization to promote energy efficiency. With the advancement and widespread adoption of information technology, the big data analysis and machine learning methods (clustering, deep learning, reinforcement learning, etc.) have been increasingly utilized to support applications relevant to buildings, such as optimal control, fault detection and diagnosis, building occupancy detection, energy prediction, etc. At the retrofit stage, building energy modeling can facilitate the evaluation of energy conservation measures for existing buildings. Advanced HVAC systems are being developed to replace the original systems and achieve improved building energy performance.
This Special Issue focuses on recent research in building energy analysis for sustainability. The scope includes the above mentioned topics. The aim of this issue is to provide an interactive platform and share current ideas from experts in the related fields.
Prof. Dr. Yixing Chen
Dr. Mengjie Han
Dr. Jianli Chen
Dr. Hongyuan Jia
Guest Editors
Manuscript Submission Information
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Keywords
- building energy modeling for sustainable design
- integration of renewable energy
- energy analysis for optimal building control
- big data analysis for sustainable buildings
- occupant behavior data analysis
- building retrofit analysis
- advanced HVAC system
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