The Cost–Emissions Trade-off Under Network Constraints
ネットワーク制約下におけるコストと排出のトレードオフ (AI 翻訳)
Kyril Kaufmann, Georgios Tsaousoglou
🤖 gxceed AI 要約
日本語
本論文は、送電網制約が電力システムの経済コストとCO2排出のトレードオフに与える影響を分析する。銅板仮定では過小評価される飽和効果や空間的不均一性を、ネットワーク認識モデルで定量化。再エネと柔軟性資源の普及度や立地分布がParetoフロンティアに与える影響を明らかにし、規制当局がネットワークを考慮した計画策定を行う必要性を強調する。
English
This paper analyzes how transmission network constraints affect the trade-off between economic cost and carbon emissions in power systems. Using a network-aware model, it reveals saturation effects and spatial asymmetries that are misrepresented under copper-plate assumptions. The results show that the cost-emissions Pareto front shifts with renewable and flexibility penetration and their spatial distribution, highlighting the need for network-aware regulatory policies to efficiently decarbonize the power sector.
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
日本では、再エネの大量導入に伴い系統制約が深刻化しており、地域間連系線の増強やノンファーム接続などの制度的対応が進められている。本論文のネットワーク認識型の分析枠組みは、日本の電力システム計画やFIT/FIP制度設計に示唆を与える。
In the global GX context
Globally, this paper contributes to the growing recognition that grid constraints must be incorporated into decarbonization policy design, challenging the traditional copper-plate assumption. It provides quantitative tools for regulators to optimize renewable and flexibility incentives, aligning with ISSB and TCFD's emphasis on physical risk and system-level planning in climate transition scenarios.
👥 読者別の含意
🔬研究者:Provides a quantitative framework for analyzing cost-emissions trade-offs under network constraints, suitable for energy system modeling.
🏢実務担当者:Offers insights for utilities and project developers on how location and grid congestion affect the value of renewable investments.
🏛政策担当者:Demonstrates that network-aware planning is crucial for effective renewable and flexibility incentives, informing regulatory design.
📄 Abstract（原文）
Regulatory policies are key drivers of power-sector decarbonization, influencing investment decisions in renewable generation and demand-side flexibility. Common approaches such as carbon pricing or uniform investment incentives, however, are typically designed without accounting for network effects, assuming that each unit of renewable capacity or flexibility contributes equally to cost and emission reductions regardless of location. In reality, transmission constraints and spatial heterogeneity can substantially alter these impacts, leading to curtailments and diminished policy effectiveness. In this paper, we investigate how network constraints shape the fundamental trade-off between economic cost and carbon emissions of a power system. We quantify this trade-off by computing the costemissions Pareto front. We then analyze the front’s attractiveness for different levels of renewables and flexibility penetration as well as different spatial distributions across locations. The results show that copper-plate assumptions can produce misleading fronts, while network-aware modeling reveals saturation effects and spatial asymmetries critical for efficient policy design. These findings highlight the need for regulators to adopt network-aware planning frameworks when designing incentives for renewable and flexibility investments.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/eem68581.2026.11589908first seen 2026-07-13 06:36:13
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