電気化学的CO2還元による電解燃料製造のための適切な触媒に関する研究
Rannsóknir á hentugum efnahvötum fyrir rafefnafræðilega afoxun á CO₂ til framleiðslu á rafeldsneyti (原題)
Muhammad Awais
🤖 gxceed AI 要約
日本語
本博士論文は、電気化学的CO2還元反応(CO2RR)およびCO還元反応(CORR)によるグリーン燃料合成に向け、遷移金属炭窒化物(TMCN)触媒をDFT計算で系統的に評価した初の研究である。11種のTMCNの3結晶面、計33表面と2000以上の反応経路を解析し、MvK機構ではTMCN(110)が最も高活性であることを見出した。CO2を資源として捉え、再生可能エネルギーを化学製品として貯蔵する持続可能な炭素変換の可能性を示す。
English
This PhD thesis presents the first systematic DFT study of transition metal carbonitrides (TMCNs) as catalysts for electrochemical CO2 and CO reduction to green fuels. Analyzing 33 surfaces across 11 TMCNs and over 2000 reaction pathways, it identifies TMCN(110) as most active via the Mars-van Krevelen mechanism. The work offers computational guidance for converting CO2 into value-added C1/C2 products using renewable energy.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
CO2を資源化し再エネを化学製品として貯蔵するCCUS/電解燃料技術は、日本のGX実現に向けた産業脱炭素とエネルギー安全保障の両面で注目される領域。基礎計算研究だが、将来の電解燃料・e-fuel産業の触媒設計基盤として日本のGX技術戦略に資する。
In the global GX context
Electrochemical CO2 reduction to fuels sits at the core of global decarbonization pathways and CCUS/e-fuel innovation. While a fundamental computational study, it informs catalyst design that underpins the scaling of power-to-X and sustainable fuel value chains relevant to ISSB-aligned transition planning.
👥 読者別の含意
🔬研究者:TMCN触媒のCO2RR/CORR活性をDFTで比較した初の系統的データセットとして、触媒設計研究の出発点になる。
🏢実務担当者:電解燃料・e-fuel事業の触媒選定や技術ロードマップ検討の基礎的知見として参照可能。
🏛政策担当者:CO2資源化・電解燃料分野への研究開発投資判断の背景資料として活用できる。
📄 Abstract(原文)
Current global energy and environmental challenges can be viewed as the interaction of three connected factors: the use of fossil fuels, carbon dioxide (CO2) emissions, and global warming. The global energy landscape remains largely dependent on fossil fuels, leading to substantial CO2 emissions and disturbing the climatic equilibrium. Nonetheless, one promising strategy for addressing this challenge is to regard CO2 as a resource, thereby converting the challenge into an opportunity for ecological restoration through the use of CO2 for the production of sustainable fuels. This approach turns CO2 into eco-friendly, value-added compounds, promoting greenhouse gas reduction and sustainable energy development. An effective solution to these limitations can possibly be addressed through chemical physics and electrochemistry, particularly through the implementation of the electrochemical CO2 reduction reaction (CO2RR), which converts CO2 into several single and multi-carbon (C1/C2 products) compounds, including carbon monoxide, formic acid, methanol, methane, methanediol, ethylene, ethane, and ethanol. This process can be readily integrated with current renewable energy infrastructure, enabling the coupling of CO2 conversion with sustainable power sources and therefore storing renewable energy as chemical products. However, their practical application remains limited by the low catalytic activity, poor selectivity, and broad product distribution of conventional metal catalysts. In several instances, these catalysts primarily convert CO2 to only CO or formic acid with relative simplicity, whereas the synthesis of more reduced or multi-carbon compounds requires more energy input and often exhibits restricted efficiency. Hence, the electrochemical CO reduction reaction (CORR) may provide essential solutions to tackle the current challenges in the field of CO2RR. Thus, this Ph.D. thesis is dedicated to the exploration of these two research directions to identify more efficient and selective reaction pathways for sustainable carbon transformation via both CO2RR and CORR. To the best of our knowledge, this thesis presents the first systematic computational investigation of transition metal carbonitrides (TMCNs) for electrochemical CO2RR and CORR. A rigorous computational framework using density functional theory (DFT) within the Vienna Ab initio Simulation Package (VASP) was applied to analyze these surfaces for both CO2RR and CORR. This theoretical study examined 33 different catalytic surfaces, eleven TMCNs in (100), (111), and (110) facets, to predict their catalytic activity towards the formation of C1 and C2 products. Moreover, comprehensive computational evaluations were performed to assess the behavior of these different TMCNs in diverse electrochemical environments with pre-adsorbed CO surface coverage. The catalytic performance was investigated using the conventional and the Mars-van Krevelen (MvK) mechanisms and over 2000 reaction pathways to identify the most thermodynamically favorable routes and predict the best TMCN candidate(s) for efficient carbon conversion and management. In the catalytic activity analysis, TMCN(110) was identified as offering the highest activity for both CO2RR and CORR via the MvK mechanism. In conventional pathways, TMCN(111) was found to be the most active for CO2RR, while TMCN(100) was the best for CORR, and TMCN(111) was inactive toward conventional CORR. Overall, this dissertation provides a comprehensive theoretical assessment of TMCNs and offers computationally grounded predictions for their potential use in converting carbon into green fuels, thereby addressing important environmental and sustainable energy concerns.
🔗 Provenance — このレコードを発見したソース
- openalex https://hdl.handle.net/20.500.11815/8490first seen 2026-10-24 04:39:44 · last seen 2026-11-01 04:34:01
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。