Xinyu Lu

Wuhan University of Technology

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Changjun Xie

Wuhan University of Technology

Banghua Du

Wuhan University of Technology

Leiqi Zhang

Shanghai Electric (China)

Bo Zhao

Northeast Forestry University

Wenchao Zhu

Zhongshan Hospital

Yang Li

Wuhan University of Technology

Zhengkai Tu

Huazhong University of Science and Technology

Shihao Zhu

Chinese Academy of Medical Sciences & Peking Union Medical College

Jié Song

Qingdao University of Science and Technology

Yang Yang

Harbin Institute of Technology

Cooperative Institutions

Wuhan University of Technology

Huazhong University of Science and Technology

Sun Yat-sen University

Tianjin University

Zhejiang University

Nanyang Technological University

North China Electric Power University

University of Science and Technology of China

Chinese Academy of Sciences

State Grid Corporation of China (China)

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Design and optimization of a cascade hydrogen storage system for integrated energy utilization

Journal of Energy Storage (2024)

Shihao Zhu Banghua Du Xinyu Lu Changjun Xie Yang Li

10.1016/j.est.2024.112732

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Citations (7)

Optimization of power allocation for wind-hydrogen system multi-stack PEM water electrolyzer considering degradation conditions

International Journal of Hydrogen Energy (2022)

Xinyu Lu Banghua Du Shenpei Zhou Wenchao Zhu Yang Li

Power optimizer

10.1016/j.ijhydene.2022.11.092

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Citations (58)

Thermodynamic and dynamic analysis of a hybrid PEMFC-ORC combined heat and power (CHP) system

Energy Conversion and Management (2023)

Xinyu Lu Banghua Du Wenchao Zhu Yang Yang Changjun Xie

Exergy efficiency

Organic Rankine Cycle

Electrical efficiency

10.1016/j.enconman.2023.117408

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Citations (38)

Investigation on the influence of rural residents' behavior regulation on gas-fired combi-boiler heating in Northern China

Journal of Thermal Science and Engineering Applications (2024)

Weiye Zhou Wenxue Gao Lijie Yang Xinyu Lu Lin Yang

Abstract There is basically no research on the impact of rural residents' behavior on heating when using gas-fired heating and hot water combi-boilers as a heat source. Two residential buildings in rural areas of Handan were selected for the study, indoor and outdoor temperatures and gas consumption were tested, a survey of residents' behavior was conducted. The results show that the ratio of actual heat inputs to rated heat input in two buildings are 47%∼76% and 25%∼91%,indicating that the reason for the indoor temperature being lower than design temperature is not the insufficient heating capacity of the heating system, but rather the result of residents actively adjusting the combi-boilers. Resident behavior adjustment has a significant impact on the temperature difference between indoor and outdoor and gas consumption for heating. Compared to the automatic adjustment behavior mode, the maximum deviation of the temperature difference between indoor and outdoor under artificial adjustment behavior during Period 1 is 59%, with an average deviation of 44%. However, the average gas consumption is reduced by 9.2%. The study reflects that rural residents actively adjust the gas-fired combi-boilers to significantly reduce the gas cost of building heating while meeting their own thermal comfort requirements.

10.1115/1.4067095

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Energy management strategy for a novel multi-stack integrated hydrogen energy storage system based on hybrid rules and optimization

Applied Energy (2024)

Xinyu Lu Wenjie Gang Shanshan Cai Zhengkai Tu

10.1016/j.apenergy.2024.125189

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A bi‐level planning strategy of a hydrogen‐supercapacitor hybrid energy storage system based on APA‐MOHHO

IET Renewable Power Generation (2024)

Xinyu Lu Banghua Du Wenchao Zhu Yang Yang Changjun Xie

Abstract A bi‐level planning strategy of a hydrogen‐supercapacitor hybrid energy storage system (H‐S HESS) has been proposed in this study for wind power fluctuation suppression. The proposed system consists of a supercapacitor array and a hydrogen energy storage unit, and the bi‐level planning strategy consists of an Energy Management Level and a Capacity Configuration Level. In the upper level, with Hilbert–Huang transform frequency analysis, a novel energy management strategy based on adaptive power allocation (APA) is designed. The lower level applies multi‐objective Harris hawks optimizer to solve the optimal parameters of each device in the system. Based on the data measured from a 2‐MW wind system in a hydrogen‐electric coupled DC microgrid demonstration project, the optimal system capacity configuration scheme is obtained. The annualized cost of the system is $150,212, which is 41.1% lower than the scheme without optimization. The fluctuation unsuppressed rate of H‐S HESS is 0.64% under the APA strategy, which is only 0.14% higher than the conventional HESS (supercapacitor + lithium‐ion batteries) with the same annualized cost of system. The proposed strategy reduces the frequency of HESS operational power fluctuations, improves capacity configuration accuracy, and significantly decreases the cost gap between the proposed H‐S HESS and conventional structures.

Microgrid

10.1049/rpg2.12928

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Citations (3)

Technical evaluation of a novel combined cooling-heating-power-water system based on PEM fuel cells

Energy Conversion and Management X (2024)

Kai Kang Yun-Long Zhang Cunwei Cao Xinyu Lu

10.1016/j.ecmx.2024.100803

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Citations (1)

A novel fuel cell cathode hybrid intake structure design and control for integrated hydrogen energy utilization system

Energy (2024)

Shihao Zhu Hong‐Ming Hu Banghua Du Xinyu Lu Yang Li

10.1016/j.energy.2024.132853

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Multi-criteria assessment of an auxiliary energy system for desalination plant based on PEMFC-ORC combined heat and power

Energy (2023)

Xinyu Lu Banghua Du Wenchao Zhu Yang Yang Changjun Xie

Organic Rankine Cycle

Cogeneration

10.1016/j.energy.2023.130163

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Citations (9)

Research on hydrogen energy storage to suppress wind power fluctuations based on improved EMD

Procedia Computer Science (2023)

Xinyu Lu Zhonghua Wu Hao Ye Banghua Du Wenchao Zhu

Wind power generation has a great influence on climatic conditions, and the output power fluctuation and intermittency are obvious. In this paper, a method based on improved empirical mode decomposition (EMD) for hydrogen energy storage (HES) is proposed to suppress wind power fluctuation. The HES consists of water electrolyzer, hydrogen fuel cell, and hydrogen storage tank (EL+FC+HST). An improved EMD is designed as a power allocation control method to maintain the HES charge-discharge balance and reduce the scale of the system. The 168 hours output data of 200kW wind turbine is used for simulation, which verifies the feasibility and superiority of the design method.

Intermittency

10.1016/j.procs.2023.09.049

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Citations (1)