An evidence theory-based uncertainty quantification method of building thermal parameters for accurate reliability assessment of building air-conditioning design loads

Author:

Wu Xia,Niu Jide,Tian Zhe,Li Xiaoyuan

Funder

National Natural Science Foundation of China

Excellent Young Scientists Fund

Publisher

Elsevier BV

Reference46 articles.

1. ASHRAE Handbook-Fundamentals 2017. Atlanta: American Society of Heating, Refrigeration and Air Conditioning Engineers, Inc.

2. Design Code for Heating Ventilation and Air Conditioning of Civil of Buildings GB 50736-2012, Ministry of Housing and Urban-Rural Development of the People’s Republic of China, Beijing, 2012. (in Chinese).

3. HVAC system design under peak load prediction uncertainty using multiple-criterion decision making technique[J];Huang;Energ Buildings,2015

4. A framework for quantifying the value of information to mitigate risk in the optimal design of distributed energy systems under uncertainty[J];Niu;Appl Energy,2023

5. Enhancing operation flexibility of distributed energy systems: A flexible multi-objective optimization planning method considering long-term and temporary objectives[J];Tian;Energy,2024

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