Matching electrochemical CO<sub>2</sub> reduction with fluctuating photovoltaic power under natural illumination
A dynamic control strategy is proposed, which could adjust the number of active electrolyzers in response to photovoltaic fluctuations and stabilizes input voltage and current, improving system stability and product selectivity.
Authors
- Xiaohai Zhang (ORCID: https://orcid.org/0000-0002-7188-7855)
- Shaohua Shen (ORCID: https://orcid.org/0000-0001-8536-7386)
- Feng Wang (ORCID: https://orcid.org/0000-0002-8514-4497)
- Taiping Ye
- Long Jiang (ORCID: https://orcid.org/0000-0002-0387-629X)
- Shengjie Bai (ORCID: https://orcid.org/0000-0002-2023-6841)
- Yifei Liu (ORCID: https://orcid.org/0000-0002-5498-2754)
- Ya Liu (ORCID: https://orcid.org/0000-0001-5175-2657)
Institutions
- Shanghai Jiao Tong University (CN)
- Shenzhen Institute of Building Research (China) (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- EES solar.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5el00002e
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.52
Funders
- Fundamental Research Funds for the Central Universities
- Key Research and Development Projects of Shaanxi Province