Challenges and opportunities for carbon neutrality in China's building sector—Modelling and data

S Hu, Y Zhang, Z Yang, D Yan, Y Jiang - Building Simulation, 2022 - Springer
The building sector is one of the largest energy user and carbon emitter globally. To achieve
China's national carbon target, the building sector in China needs to achieve carbon …

Archetype building energy modeling approaches and applications: A review

P Shen, H Wang - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Abstract Archetype Building Energy Models (ABEMs) are representations of buildings in a
certain region that enable the assessment of energy use across building stocks in a bottom …

Predicting the response of heating and cooling demands of residential buildings with various thermal performances in China to climate change

J **ong, S Guo, Y Wu, D Yan, C **ao, X Lu - Energy, 2023 - Elsevier
Climate change will continuously impact building heating and cooling demands. Therefore,
it is essential to characterise the varying future heating and cooling demands, which will …

[HTML][HTML] AI in HVAC fault detection and diagnosis: A systematic review

J Bi, H Wang, E Yan, C Wang, K Yan, L Jiang, B Yang - Energy Reviews, 2024 - Elsevier
Recent studies show that artificial intelligence (AI), such as machine learning and deep
learning, models can be adopted and have advantages in fault detection and diagnosis for …

A novel resistance-capacitance model for evaluating urban building energy loads considering construction boundary heterogeneity

X Wang, S Tian, J Ren, X **, X Zhou, X Shi - Applied Energy, 2024 - Elsevier
To address the problems associated with the accuracy of existing resistance-capacitance
(RC)-based urban building energy modeling (UBEM) being low, a novel RC-based UBEM …

A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings

X Kang, X Wang, J An, D Yan - Energy and Buildings, 2022 - Elsevier
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 …

A systematic review of building electricity use profile models

X Kang, J An, D Yan - Energy and Buildings, 2023 - Elsevier
The building sector contributes significantly to overall energy consumption and carbon
emissions. Improving renewable energy utilization in buildings is of considerable …

Chinese prototype building models for simulating the energy performance of the nationwide building stock

J An, Y Wu, C Gui, D Yan - Building Simulation, 2023 - Springer
Building energy modeling (BEM) has become increasingly used in building energy
conservation research. Prototype building models are developed to represent the typical …

Exploring the impacts of heterogeneity and stochasticity in air-conditioning behavior on urban building energy models

Z Liu, Z Dou, H Chen, C Zhang, S Wang, Y Wu… - Sustainable Cities and …, 2024 - Elsevier
Heterogeneity and stochasticity, two main aspects of uncertainty in occupant behavior (OB),
at the urban scale are not featured in most current urban building energy modeling (UBEM) …

Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings

X Wang, X Kang, J An, H Chen, D Yan - Energy and Buildings, 2023 - Elsevier
Ice-based thermal energy storage (TES) system is effective on load shifting and demand
response in public buildings under time-of-use (TOU) tariffs. The management and …