再生可能エネルギーの炭素排出削減と化石燃料依存低減に関するデータ駆動型シミュレーションと統計評価
Data-Driven Simulation and Statistical Assessment of Renewable Energy for Reducing Carbon Emissions and Fossil Fuel Dependence (原題)
Rafesh, Alaa Neamah Mohammed
🤖 gxceed AI 要約
日本語
2000〜2024年の国際エネルギー統計を用い、再エネ比率が電力の炭素強度に与える影響をパネル回帰と反実仮想シミュレーションで分析。再エネ比率1ポイント上昇で炭素強度が平均6.11 gCO₂e/kWh低下し、2024年の電力部門排出は約1,738 MtCO₂e削減されたと推計。再エネ拡大は脱炭素と化石燃料代替の双方に寄与するが、電力需要増により貯蔵・インフラ・効率改善の加速が必要と結論。
English
Using international energy data 2000–2024, this study applies panel regression and counterfactual simulation to quantify how renewable electricity share affects power-sector carbon intensity. A one-point rise in renewable share is linked to a 6.11 gCO₂e/kWh drop in carbon intensity, with 2024 emissions estimated ~1,738 MtCO₂e lower than a no-improvement baseline. Renewables drive both decarbonization and fossil substitution, but rising demand requires faster deployment, storage and efficiency gains.
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
日本のGX政策（第7次エネルギー基本計画・GX2040ビジョン）における再エネ電源比率目標や電力部門脱炭素の議論に対し、国際パネルデータに基づく定量的裏付けを提供。SSBJ開示で求められる電力由来排出の削減実績評価にも示唆。
In the global GX context
Provides cross-country empirical evidence on the renewable-to-carbon-intensity relationship relevant to global power-sector decarbonization and ISSB/TCFD Scope 2 accounting narratives. The counterfactual emissions estimate offers a benchmark framing for transition progress disclosure.
👥 読者別の含意
🔬研究者:再エネ比率と電力炭素強度の弾力性推定値は、電力部門脱炭素モデリングの参照値として有用。
🏢実務担当者:再エネ調達・PPA拡大がScope 2排出削減に与える定量的効果の目安として活用可能。
🏛政策担当者:再エネ導入と貯蔵・系統投資の同時加速が長期排出削減に不可欠という政策示唆。
📄 Abstract（原文）
The rapidly growing use of renewable energy has been a primary strategy to reduce greenhouse gas emissions and dependence on fossil fuels. This study provides a data-driven simulation and statistical analysis of the impact of renewable energy on global electricity decarbonisation by using international energy data from 2000 to 2024. Methods the study includes descriptive trend analysis, national comparison, Pearson correlation analysis, fixed-effects panel regression and simulation of counterfactual emissions. We evaluated the share of renewables in electricity, the share of fossil fuels in electricity, the shares of renewables and fossil fuels in primary energy, carbon intensity of electricity (mtCO e/GWh), total electric generation (GWh) and emissions from power sector. Results show that global renewable power increased from 18.72% in 2000 to 31.94% up to 2024 and fossil electricity decreased from 64.66% to 59.09%. Electricity carbon intensity decreased from 527.26 to 471.08 gCO ₂ e/kWh representing a 10.66% decrease over the study period (Figure 7). We found a high negative correlation between Renewable power and reliance on fossil fuels (−0.940), also with carbon intensity (−0.869). In fixed-effects regression, we found that a one percentage-point increase in the share of electricity generated from renewables was associated with a mean 6.11 gCO ₂ e/kWh reduction in carbon intensity of electricity and a mean 0.93-percentage-point decrease in fossil electricity share among neighbour states. This counterfactual calculation estimated that power-sector emissions in 2024 were approximately 1,737.79 MtCO ₂ e lower than they would have been had electricity carbon intensity never improved relative to its 2000 level. According to the results, renewable energy growth is central not only to decarbonizing the power sector, but also in replacing fossil fuels. Yet the continuous growth in power use implies that extra speedy deployment of renewable energy, storage resources, infrastructure improvements and gains in whole lot efficiencies is required to acquire long-term reductions in annual global emissions.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/23449774first seen 2026-10-19 04:31:40 · last seen 2026-10-22 04:13:00
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