A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading-Reference-Cited by-同舟云学术

A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading

Published:2022-04 Issue: Volume:189 Page:744-761
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zhang Lihui,Li Songrui,Nie Qingyun,Hu Yitang

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference33 articles.

1. Energy system modelling of carbon-neutral hydrogen as an enabler of sectoral integration within a decarbonization pathway;Evangelopoulou;Energies,2019

2. Energy consumption and cost for rural and urban residents: case study of three Chinese provinces;Yang;J. Energy Eng.,2018

3. Conceptualizing rural energy transitions: energizing rural studies, ruralizing energy research;Naumann;J. Rural Stud.,2020

4. Greenhouse gas emission analysis of biomass moving-bed pyrolytic polygeneration systems based on aspen plus and hybrid LCA in China;Yang;Energy Proc.,2019

5. Bi-objective optimization of biomass supply chains considering carbon pricing policies;Malladi;Appl. Energy,2020

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Risk-averse coordinated operation of hydrogen-integrated energy hubs with seasonal energy storage;Journal of Energy Storage;2024-10

2. Use of Triboelectric Nanogenerators in Advanced Hybrid Renewable Energy Systems for High Efficiency in Sustainable Energy Production: A Review;Processes;2024-09-12

3. Two-stage optimal dispatching model and benefit allocation strategy for hydrogen energy storage system-carbon capture and utilization system-based micro-energy grid;Energy Conversion and Management;2024-08

4. Coordinated Optimization of Hydrogen-Integrated Energy Hubs with Demand Response-Enabled Energy Sharing;Processes;2024-06-27

5. Co-optimization of system configurations and energy scheduling of multiple community integrated energy systems to improve photovoltaic self-consumption;Renewable Energy;2024-05