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Material Circularity Index (MCI) assessment of distributed generation technologies for Mexicos energy transition

メキシコのエネルギー移行における分散型発電技術の材料循環性指数(MCI)評価 (AI 翻訳)

Diana L. Ovalle-Flores, Rafael Peña Gallardo

IEEE Latin America Transactions📚 査読済 / ジャーナル2026-06-01#エネルギー転換対象セクター: power
DOI: 10.1109/tla.2026.11541111
原典: https://doi.org/10.1109/tla.2026.11541111

🤖 gxceed AI 要約

日本語

メキシコの分散型発電技術10種を材料循環性指数(MCI)で評価。バイオガスと水力が高スコア(0.36)、風力(0.15)と太陽光(0.30)は複合材料や電子廃棄物により低い。材料回収可能性が循環性能の鍵であり、政策への示唆を提供。

English

This study evaluates the circularity of ten distributed generation technologies in Mexico using the Material Circularity Index (MCI). Biogas and hydro score highest (0.36), while wind (0.15) and solar PV (0.30) are constrained by composites and e-waste. End-of-life infrastructure is a key driver, offering policy insights for a circular energy transition.

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

メキシコ事例だが、MCIを用いた評価手法は日本の分散型電源のサーキュラーエコノミー評価にも応用可能。SSBJや資源効率の観点でも参考になる。

In the global GX context

This paper provides a comparative circularity assessment of distributed generation technologies, relevant to global energy transition and circular economy policies. It highlights material recovery challenges for wind and solar, informing design for recyclability and end-of-life infrastructure investments.

👥 読者別の含意

🔬研究者:Provides a data-driven MCI methodology for comparing circularity of DG technologies, applicable to other regions.

🏢実務担当者:Offers insights on material recovery potential that can inform procurement and end-of-life management for distributed energy assets.

🏛政策担当者:Highlights policy barriers to circularity in renewable energy systems, suggesting focus on end-of-life infrastructure and material recovery.

📄 Abstract(原文)

This study evaluates the circularity performance of ten distributed generation (DG) technologies in Mexico using a streamlined Material Circularity Index (MCI) framework. The analysis integrates Life Cycle Inventory (LCI) data to quantify material flows during construction and End-of-Life stages, with a specific focus on the recovery potential () of critical materials, including steel, copper, and silicon. The results reveal significant disparities across technologies. Biogas and hydroelectric systems exhibit the highest circularity scores (0.36), reflecting favorable material recovery profiles, whereas wind (0.15) and solar photovoltaic systems (0.30) are constrained by the presence of composite materials and electronic waste, which limit recyclability. These findings underscore the dominant role of End-of-Life infrastructure in shaping circularity outcomes within emerging energy systems. The study demonstrates that material recovery potential is a critical determinant of circular performance in the Mexican DG context and identifies key technological and systemic barriers to circularity. By providing a comparative, data-driven assessment, this work offers policy-relevant insights to support the transition toward a more resource-efficient and circular distributed energy sector.

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