Ultra-long-duration energy storage anywhere: Methanol with carbon cycling

被引:32
作者
Brown, Tom [1 ]
Hampp, Johannes [2 ]
机构
[1] Tech Univ Berlin, Dept Digital Transformat Energy Syst, Einsteinufer 25 TA 8, D-10587 Berlin, Germany
[2] Leibniz Assoc, Potsdam Inst Climate Impact Res PIK, POB 60 12 03, D-14412 Potsdam, Germany
关键词
FUTURE;
D O I
10.1016/j.joule.2023.10.001
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
[Formula presented] Tom Brown leads a group of energy system modelers at the Technische Universität Berlin, where he holds the professorship for digital transformation in energy systems. His group researches future pathways for the energy system, with a particular focus on revealing the trade-offs between energy resources, network expansion, flexibility, and public acceptance of new infrastructure. He is a strong supporter of openness and transparency in research and is one of the lead developers of the widely used open-source software Python for Power System Analysis (PyPSA). [Formula presented] Johannes Hampp is a researcher at the Potsdam Institute for Climate Impact Research and is finishing a doctorate at the University of Gieβen in energy system modeling. His research focuses on the production of hydrogen and hydrogen derivatives and on the effects of regional differences in renewable endowments around the world on energy and feedstock supply chains. © 2023 Elsevier Inc.
引用
收藏
页码:2414 / 2420
页数:7
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