Supporting Energy Systems Modelling in Vietnam: Techno-economic, Environmental, and Social Data for the Power and Transport Sectors
ベトナムのエネルギーシステムモデリングを支援する：電力・運輸部門に関する技術経済、環境、社会データ (AI 翻訳)
Tan, Naomi
🤖 gxceed AI 要約
日本語
本研究は、ベトナムの電力および運輸部門における2020～2050年の技術経済的、環境的、社会的データを体系的に収集・公開している。データはOSeMOSYS、TIMES、MESSAGEなどのエネルギーシステムモデルと互換性があり、CO2等の排出係数や雇用係数、コストデータを含む。ベトナム向けだが技術ベースのデータは他国にも応用可能で、特に途上国におけるエビデンスに基づくエネルギー移行計画の透明性向上に貢献する。
English
This dataset compiles techno-economic, environmental, and social data for Vietnam's power and transport sectors from 2020 to 2050. It includes demand, capacity factors, costs, emission factors, and employment factors, structured for compatibility with energy models such as OSeMOSYS, TIMES, and MESSAGE. While tailored to Vietnam, the technology-based data is transferable to other national contexts, supporting transparent, evidence-based energy transition planning in developing countries.
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
日本企業がベトナムのエネルギーセクターに投資する際、このデータセットは発電コストや排出係数の基準として活用できる。特にJCM（二国間クレジット制度）案件の評価やODAプロジェクトの形成において、透明性の高いデータは政策対話の基盤となる。
In the global GX context
This dataset provides a transparent, standardized foundation for energy system modelling in developing countries. It supports global efforts toward just energy transitions by integrating environmental and social dimensions alongside techno-economic data, and is compatible with widely used modelling frameworks (OSeMOSYS, TIMES, MESSAGE).
👥 読者別の含意
🔬研究者:Energy modellers can use this dataset as a validated input for long-term energy system analysis, particularly for Vietnam and comparable developing economies.
🏢実務担当者:Companies involved in Vietnam's energy sector can reference the cost and emission factor data for project feasibility and sustainability reporting.
🏛政策担当者:Vietnamese policymakers and international development agencies can leverage this dataset to inform evidence-based energy planning and investment decisions.
📄 Abstract（原文）
Vietnam’s commitment to achieving net-zero emissions by 2050 has intensified the need for comprehensive, data-driven models to guide long-term energy system planning. Historically, such planning has been primarily concerned with technoeconomic considerations; however, growing societal and international expectations now require that environmental and social dimensions be incorporated in decision-making. This dataset therefore compiles technoeconomic, environmental, and social data for Vietnam’s power and transport sectors from 2020 to 2050. This includes data on demand, capacity factors, technical potential, as well as operational life, residual capacity, efficiencies, costs (investments, fixed, and fuel), emission factors and pollution costs (CO2, CH4, NOX, SO2, PM10, and PM2.5), and employment factors (construction, manufacturing, operation and maintenance) for both power plant and transport mode types. All data were obtained and processed from available online sources. The dataset is structured to ensure compatibility with widely used energy modelling tools, including OSeMOSYS, TIMES, and MESSAGE, facilitating integrated and comparative analyses across multiple models. It provides detailed metadata, including the Statistical Data and Metadata eXchange (SDMX) observation statuses, and a traffic-light quality system to enhance transparency and usability. Although the dataset is tailored to Vietnam, most of the data is technology-based and thus transferable to other national contexts. Overall, this dataset contributes to improving the accessibility and transparency of energy data, enabling policymakers and researchers in Vietnam and other developing countries to conduct evidence-based analyses in support of just energy transitions.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21264243first seen 2026-07-09 04:13:24
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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。