Coordinative optimization for multi-stage regeneration temperatures combination in the desiccant wheel deep dehumidification systems via model predictive control strategiesOA
Coordinative optimization for multi-stage regeneration temperatures combination in the desiccant wheel deep dehumidification systems via model predictive control strategies
Zhiyao Ma;Xiaomin Chang;Tao Zhang;Bowen Guan;Xiaohua Liu
Department of Building Science,Tsinghua University,Beijing,ChinaDepartment of Building Science,Tsinghua University,Beijing,ChinaDepartment of Building Science,Tsinghua University,Beijing,ChinaSchool of Human Settlements and Civil Engineering,Xi'an Jiaotong University,Xi'an,Shanxi,ChinaDepartment of Building Science,Tsinghua University,Beijing,China
deep dehumidificationmodel predictive controldesiccant wheelperformance optimizationlithium-ion battery manufacturingregeneration temperature
deep dehumidificationmodel predictive controldesiccant wheelperformance optimizationlithium-ion battery manufacturingregeneration temperature
《建筑模拟（英文版）》 2026 (5)
1263-1283,21
The authors appreciate the support from the National Natural Science Foundation of China(No.52508125 and No.52408131),the Young Elite Scientist Sponsorship Program by China Association for Science and Technology(No.2024QNRC001),the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(No.GZC20251109),and the National Support Program for Young Talent in Built Environment and Energy Engineering(2025-2027).
评论