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Profil bibliographique

Lizhi Zhang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

40Publications signalées
610Citations signalées
7Affiliations récentes

Les institutions déclarées

Les domaines associés

Integrated Energy Systems OptimizationThermodynamic and Exergetic Analyses of Power and Cooling SystemsHybrid Renewable Energy SystemsBuilding Energy and Comfort OptimizationSmart Grid Energy Management

Les publications récentes

Accès ouvert 2026 article OpenAlex

A two-layer optimal configuration method for integrated energy systems based on energy cascade utilization: structure-capacity-operation co-optimization

Lizhi Zhang, Hanfeng Li, Fan Li

Global calls for clean energy and carbon neutrality have drawn significant attention to integrated energy systems (IESs). The optimal configuration of IESs, which determines the types, interconnections, and capacities of energy conversion and storage components, is essential for achieving efficient, economical, and …

cn (code pays fourni par la source)

0 citations Case Studies in Thermal Engineering
Accès ouvert 2026 conference-abstract OpenAlex

Global Spatiotemporal Patterns and Drivers of Fire-Driven Pollutant Emissions

Lizhi Zhang, Linwei Yue, Qiangqiang Yuan

Biomass burning constitutes a significant source of global atmospheric pollution, profoundly impacting regional air quality and the global carbon cycle. However, current global characterizations of fire emissions rely predominantly on polar-orbiting satellite data, whose limited temporal resolution hinders the capture of rapid …

cn (code pays fourni par la source)

0 citations
2025 conference-paper OpenAlex

Cooperative Optimal Scheduling of Integrated Energy System with P2G and Seasonal Hydrogen Storage

Lizhi Zhang, Hui Zhang, Wei Peng

Hydrogen-based integrated energy systems (HIESs) represent a promising approach to enhance renewable energy utilization and mitigate CO2emissions, offering significant potential for sustainable development. Reasonable scheduling strategy is the key to the efficient operation of HIESs. However, the system contains various types of …

cn (code pays fourni par la source)

0 citations
2025 article OpenAlex

Interactive Integrated Design Framework for Optimizing the Structure, Capacity, and Operation of Multienergy Systems via Reinforcement Learning

Hui Zhang, Lizhi Zhang, Haozeng Bie, Zhiwei Xu et autres

The complex and varied source–load characteristics of multienergy systems (MESs) make it difficult to match supply with demand while maintaining economic efficiency. Previous design methods have not fully considered the coupled relationships between the system structure scheme and the equipment capacity and …

cn (code pays fourni par la source)

0 citations IEEE Transactions on Industrial Informatics
2025 conference-paper OpenAlex

Research on the Construction of Energy Consumption Prediction Model of Chiller Based on Data-Driven

Meikun Gui, Yi Chu, Yu Wu, Linhui Mao et autres

A model for predicting the energy consumption of chiller based on data-driven approach is put forward, which can enhance the efficiency of the chiller and optimize energy conservation. Initially, the research collected a large quantity of historical data during the chiller's operation, …

cn (code pays fourni par la source)

0 citations
2025 article OpenAlex

Bi-Level Optimal Design of Integrated Energy System With Synergy of Renewables, Conversion, Storage, and Demand

Lizhi Zhang, Hui Zhang, Fan Li, Bo Ning Sun

Integrated energy systems (IESs) that combine biogas, solar, and wind energy sources demonstrate considerable potential for effective utilization of renewable energy, which is instrumental for achieving carbon neutrality. The enhancement in their energetic and economic performances relies on optimal design methods that …

cn (code pays fourni par la source)

13 citations IEEE Transactions on Industry Applications
2025 article OpenAlex

SCLF: Self-Contrastive Learning Framework for Hydrogen Leakage Traceability

Hui Zhang, Guangyao Fan, Jiaxin Zhang, Lizhi Zhang et autres

Hydrogen leakage traceability is crucial to ensuring hydrogen safety in the whole process of hydrogen production-storage–transport-application. However, due to the high cost of dismantling and testing, it is impractical to collect and label leakage locations for different leakage conditions. Traditional supervised learning …

cn (code pays fourni par la source)

1 citation IEEE Transactions on Instrumentation and Measurement

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