エネルギー転換経路の実装可能性評価：スイスにおける太陽光発電の事例
Assessing implementation feasibility of energy transition pathways: The case of solar PV in Switzerland (原題)
Xin Wen, Nik Zielonka, Sanni Kunnas, Evelina Trutnevyte
🤖 gxceed AI 要約
日本語
コスト最適化型電力システムモデルとヒンドキャスト型の技術成長確率モデルを組み合わせ、スイス143地区における2035年・2050年の太陽光PV導入目標の実装可能性を実証的に定量化した研究。現行傾向では2050年に20.9GW（確率73%）が達成可能な一方、野心的経路の42.6GWは達成困難（確率17%）と示す。地区別の実現可能性は地理的に不均一で、経済的インセンティブだけでは不十分か、モデル経路のPV目標を下方修正すべきと論じる。
English
This study empirically quantifies the implementation feasibility of modeled solar PV targets across 143 Swiss districts for 2035 and 2050, combining a spatially explicit cost-optimization electricity model with a hindcasting-based probabilistic technology growth model. Current trends suggest 20.9 GW by 2050 is likely (73% probability), while ambitious pathways of 42.6 GW are unlikely (17%). Feasibility is geographically uneven, and economic incentives alone appear insufficient, implying either non-economic support is needed or modeled PV ambitions should be scaled down.
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
日本でも第7次エネルギー基本計画やGX2040ビジョンで太陽光の大量導入を掲げるが、モデル上の最適解と地域での実装可能性のギャップは共通課題。地区別の実装可能性評価手法は、日本の自治体・地域脱炭素計画の目標設定や実現性検証に応用できる示唆を持つ。
In the global GX context
As global disclosure and transition-planning frameworks (ISSB, TCFD, transition finance) increasingly demand credible, implementation-grounded transition pathways rather than cost-optimal model outputs, this paper offers a replicable method to stress-test corporate and national renewable targets against real-world growth dynamics. It bridges energy-system modeling and disclosure credibility debates.
👥 読者別の含意
🔬研究者:コスト最適化モデルの経路を実装可能性で検証するヒンドキャスト型確率手法の応用例として参考になる。
🏢実務担当者:再エネ調達・脱炭素目標の設定時に、モデル上の野心的数値と現実の導入速度のギャップを織り込む必要性を示す。
🏛政策担当者:再エネ導入目標の設定において、経済的インセンティブ以外の支援策や目標の現実的調整を検討する根拠となる。
📄 Abstract（原文）
Cost-optimization energy system models have been widely used to generate technically and economically feasible pathways to reach energy and climate targets for policy guidance. Yet, the complex socio-technical nature of transitions leads to very large uncertainties, requiring an assessment of real-world implementation feasibility of these modeled pathways. In this study, a novel approach is developed to empirically quantify the implementation feasibility of achieving modeled solar PV targets in 143 sub-national districts in Switzerland in 2035 and 2050, by combining a spatially-explicit cost-optimization electricity system model with a hindcasting-based probabilistic technology growth model. It shows that national-level PV deployment targets are likely to be achieved at 20.9 GW (73% probability) in 2050 from the modeled pathways with current trends, and unlikely to be reached in ambitious pathways with 42.6 GW of PV in 2050 (17% probability). At the district level, feasibility is geographically uneven, with the greatest uncertainty of reaching targets across four pathways in south-western and western Swiss districts. Economic policies and accounted context drivers that impact net present value calculation of PV projects do not appear to substantially alter the feasibility of results, indicating that either support beyond economic incentives for PV is needed, or modeled transition pathways should scale down their PV ambition to remain feasible.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.rset.2026.100171first seen 2026-10-18 04:39:25
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