Carbon Emission Control in High-Carbon Industries: Research on Systematic Emission Reduction Pathways for Petroleum Enterprises
高炭素産業における炭素排出抑制：石油企業の系統的排出削減経路に関する研究 (AI 翻訳)
Ling Peng
🤖 gxceed AI 要約
日本語
本論文は、石油企業の全バリューチェーンにおける炭素排出特性を分析し、CCUS、グリーン水素代替、デジタル炭素管理、炭素取引などの排出削減ツールを体系的に整理。技術革新、エネルギー構造転換、炭素市場運用、全産業連鎖協力からなる4次元の統合炭素排出抑制システムを構築し、実証効果を検証した。中国企業（Sinopec）や海外企業（Equinor）の事例を踏まえ、炭素価格設定、グリーンファイナンス、技術協力の政策提言を行う。
English
This paper analyzes carbon emission characteristics across the full value chain of petroleum enterprises and systematically reviews emission reduction tools including CCUS, green hydrogen substitution, digital carbon management, and carbon trading. It constructs a four-dimensional integrated carbon emission control system covering technological innovation, energy structure transition, carbon market operation, and full industrial chain collaboration, using cases from Sinopec and Equinor. Policy recommendations on carbon pricing, green finance, and technology cooperation are proposed.
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
日本でも石油精製業は高炭素産業であり、CCUSや水素活用の実証が進む。本論文の体系的フレームワークは、日本企業の統合報告書やSSBJ対応における排出削減戦略の整理に参考となる。特に炭素市場活用の視点は、今後の国内ETSとの連携を検討する際に示唆を与える。
In the global GX context
This paper provides a comprehensive framework for carbon emission control in the petroleum sector, relevant to global disclosure standards like TCFD and ISSB. It addresses challenges such as carbon tariffs and ESG investment restrictions, offering practical pathways that can inform transition finance and climate risk disclosures. The integration of CCUS and carbon market mechanisms aligns with global decarbonization trends.
👥 読者別の含意
🔬研究者:Provides a systematic framework for analyzing emission reduction pathways in high-carbon industries, useful for further quantitative modeling.
🏢実務担当者:Offers a menu of practical tools (CCUS, hydrogen, carbon trading) for corporate sustainability teams to design emission reduction strategies.
🏛政策担当者:Highlights the need for carbon pricing and green finance policies to support industrial decarbonization, relevant for national climate strategy.
📄 Abstract（原文）
Against the accelerated global carbon neutrality process and increasingly stringent carbon constraint policies, the petroleum industry, as a typical high-carbon sector, generates massive carbon emissions across its entire industrial chain and faces triple pressures including carbon tariffs, ESG investment restrictions and energy structure transformation. Based on the carbon emission characteristics of the full value chain of petroleum enterprises, this paper sorts out core emission sources in upstream, midstream and downstream links, and analyzes practical constraints on systematic carbon reduction in the industry concerning technology, capital and global carbon market mechanisms. Drawing on practical cases of CCUS, green hydrogen substitution, digital carbon management and carbon trading adopted by leading domestic and foreign enterprises such as Equinor and Sinopec, this study constructs a four-dimensional integrated carbon emission control system covering technological innovation, energy structure transition, carbon market operation and full industrial chain collaboration, and verifies the practical effects of various emission reduction tools. Supporting policy suggestions are proposed from the perspectives of carbon pricing, green finance, technological cooperation and multi-stakeholder coordination. This research provides theoretical support and practical schemes for the low-carbon transformation of domestic petroleum enterprises, and offers references for studies on systematic carbon emission control in high-carbon industries. Keywords: High-carbon industries, Carbon emission control, Petroleum enterprises, Full industrial chain emission reduction, CCUS, Carbon market.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21426172first seen 2026-07-19 04:11:13
🔔 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。