Xuyuan Kang

Xuyuan Kang
Tsinghua University | TH · Department of Building Science and Technology

Bachelor of Engineering

About

16
Publications
3,374
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154
Citations

Publications

Publications (16)
Article
Full-text available
Buildings have a significant impact on global sustainability. During the past decades, a wide variety of studies have been conducted throughout the building lifecycle for improving the building performance. Data-driven approach has been widely adopted owing to less detailed building information required and high computational efficiency for online...
Article
Full-text available
Occupancy schedule is one of the essential inputs for building performance simulation. Current designers and researchers refer to the occupancy schedules from energy standards such as ASHRAE 90.1, which was initially published in 1989 and may not apply to the occupancy profiles of the current circumstances. With the advances of mobile communication...
Article
Ground-coupled building envelopes contribute to up to 45% of total building heat loss. Dynamic simulation of the thermal process of the building-ground structure is essential for whole-year building energy simulations and evaluations. There exist various types of underground heat transfer models, while the adoption of dynamic underground heat trans...
Article
Full-text available
Buildings contribute to almost 30% of total energy consumption worldwide. Developing building energy modeling programs is of great significance for lifecycle building performance assessment and optimization. Advances in novel building technologies, the requirements of high-performance computation, and the demands for multi-objective models have bro...
Article
Thermal energy storage (TES) is an effective method for load shifting and demand response in buildings. Optimal TES control and management are essential to improve the performance of the cooling system. Most existing TES systems operate on a fixed schedule, which cannot take full advantage of its load shifting capability, and requires extensive inv...
Article
Occupant's movement in buildings is one of the most essential factors that influence building energy consumption. Understanding the movement of occupants in buildings is crucial for building design and operations. The advances in virtual reality (VR), especially immersive virtual environments (IVEs), offer new and cost-effective alternatives for oc...
Article
Full-text available
Renewable energy is important for achieving carbon neutralization. However, power generation from renewable energy sources can be uncertain and uncontrollable. Therefore, understanding the features of energy demand is pivotal for integrating renewable energy sources and storage systems within the entire energy network. Traditional load profiles are...
Article
The availability of computational power, and a wealth of data from sensors have boosted the development of model-based predictive control for smart and effective control of advanced buildings in the last decade. More recently occupant-behavior models have been developed for including people in the building control loops. However, while important ob...
Chapter
The energy shortage is one key issue for sustainable development, a potential solution of which is the integration with the renewable energy resources. However, the temporal sequential characteristic of renewable resources is different from traditional power grid. For the entire power grid, it is essential to match the energy generation side with t...
Article
Full-text available
Building occupancy is the basis for building energy simulations, operations, and management. With the increasing need for energy conservation and the occupant-centric service of building energy systems, occupancy forecasting has become an essential input for simulations. These applications include model predictive control and demand response, with...
Article
Full-text available
Electricity is now the major form of energy used in residential buildings and has seen a significant increase in usage over the past decades. One of the main features of electricity use in residential buildings is the diversity of total electricity consumption and use patterns among households. Current models may not be able to simulate and generat...
Article
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented opportunities for a deeper understanding of occupant behaviour and energy usage patterns at the urban scale. This enables data-driven building and energy models to capture the urban dynamics, specifically the intrinsic occupant and energy use behavioural profiles...
Article
Full-text available
Building consumes a significant portion of energy in the world. Improving energy use efficiency in building sector is a key approach of achieving sustainable and environmental friendly development targets. Building energy consumption prediction is essential for energy planning, equipment control and system management. Traditional physics-based mode...
Article
Full-text available
The energy shortage is one key issue for sustainable development, a potential solution of which is the integration with the renewable energy resources. However, the temporal sequential characteristic of renewable resources is different from traditional power grid. For the entire power grid, it is essential to match the energy generation side with t...
Article
Full-text available
With the development of urbanization, the energy consumption of residential buildings is growing rapidly. Previous researches mainly focus on the daily profile of residential electricity consumption, while monthly electricity consumption profile is essential for the design and optimization of power system and energy storage system. With the advance...

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