Development and implementation of supply-based feedback controls for energy-efficient and grid-interactive cooling management over entire building daily cycle DOI
Mingkun Dai, Hangxin Li, Shengwei Wang

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133858 - 133858

Published: Nov. 1, 2024

Language: Английский

Energy efficiency measures towards decarbonizing Japanese residential sector: Techniques, application evidence and future perspectives DOI
Xiaoyi Zhang, Yanxue Li, Fu Xiao

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 319, P. 114514 - 114514

Published: July 6, 2024

Language: Английский

Citations

9
Direct Load Control Strategy of Centralized Chiller Plants for Emergency Demand Response: A Field Experiment DOI Creative Commons
Jie Zhu, Zhe Tian, Jide Niu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(3), P. 462 - 462

Published: Feb. 2, 2025

As the penetration rate of renewable energy in power grid increases, imbalance between supply and demand has become one key issues. Buildings their heating, ventilation, air conditioning (HVAC) systems are considered excellent flexible response (DR) resources that can reduce peak loads to alleviate operational pressures on grid. Centralized chiller plants regarded as with large capacity rapid adjustability. The direct load control respond within minutes, making them highly suitable for participation emergency DR. However, existing studies generally based simulations lack experimental research actual large-scale buildings demonstrate effectiveness this method provide related lessons learned. This study conducted field experiments a centralized plant an industrial building Guangdong, China. results indicate strategy shutting down is effective DR measure. It complete reduction process 15 min, rapidly decreasing system by 380~459 kW, maximum duration up 50 without significantly affecting thermal comfort indoor occupants. Additionally, impact logic also discussed.

Language: Английский

Citations

0
Optimising energy flexibility in Finnish residential buildings: A comparative study of PI, rule-based and model predictive control strategies DOI Creative Commons
Rakesh Ramesh, Hassam ur Rehman, Ala Hasan

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115727 - 115727

Published: April 1, 2025

Language: Английский

Citations

0
Performance evaluation of physical consistency approach for optimizing residential space heating system in cold snap conditions DOI
Ran Yi, Zixuan Wang, Yanxue Li

et al.

Building Simulation, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

Language: Английский

Citations

0
Energy resilience enhancement against grid outages for a zero-emission hotel building via optimal energy management of onshore and offshore energy storages DOI Creative Commons
Haojie Luo, Sunliang Cao

Energy Nexus, Journal Year: 2025, Volume and Issue: unknown, P. 100431 - 100431

Published: May 1, 2025

Language: Английский

Citations

0
Experimental Investigation and Scenario-based Optimization of Energy Flexibility in Embedded Radiant Cooling Systems DOI Creative Commons

Yun Xie,

Yanxue Li, Hongshe Cui

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: 67, P. 105835 - 105835

Published: Feb. 3, 2025

Language: Английский

Citations

0
Comparative Analysis of Reinforcement Learning Approaches for Multi-Objective Optimization in Residential Hybrid Energy Systems DOI Creative Commons
Yang Xu, Yanxue Li, Weijun Gao

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(9), P. 2645 - 2645

Published: Aug. 26, 2024

The rapid expansion of renewable energy in buildings has been expedited by technological advancements and government policies. However, including highly permeable intermittent renewables storage presents significant challenges for traditional home management systems (HEMSs). Deep reinforcement learning (DRL) is regarded as the most efficient approach tackling these problems because its robust nonlinear fitting capacity capability to operate without a predefined model. This paper DRL control method intended lower expenses elevate usage optimizing actions battery heat pump HEMS. We propose four algorithms thoroughly assess their performance. In pursuit this objective, we also devise new reward function multi-objective optimization an interactive environment grounded expert experience. results demonstrate that TD3 algorithm excels cost savings PV self-consumption. Compared baseline model, model achieved 13.79% reduction operating costs 5.07% increase Additionally, explored impact feed-in tariff (FiT) on TD3’s performance, revealing resilience even when FiT decreases. comparison provides insights into selection specific applications, promoting development DRL-driven solutions.

Language: Английский

Citations

2
A comprehensive study on the impacts of thermal comfort on occupants’ thermophysiology and cognitive performances in a radiant cooling environment using physiological measurements DOI
Shitong Li, Yanxue Li, Weijun Gao

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 323, P. 114771 - 114771

Published: Sept. 10, 2024

Language: Английский

Citations

2
Analyzing Variability and Coordinated Demand Management for Various Flexible Integrations of Residential Distributed Energy Resources DOI
Xiaoyi Zhang, Yan Liu, Yanxue Li

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 237, P. 121619 - 121619

Published: Oct. 13, 2024

Language: Английский

Citations

2
Cost-effective and optimal pathways to selecting building microgrid components – The resilient, reliable, and flexible energy system under changing climate conditions DOI Creative Commons
Bishal Baniya, Damien Giurco

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 114896 - 114896

Published: Oct. 1, 2024

Language: Английский

Citations

2