The Cost-Emissions Trade-off Under Network Constraints
ネットワーク制約下でのコストと排出のトレードオフ (AI 翻訳)
Kaufmann, Kyril, Tsaousoglou, Georgios
🤖 gxceed AI 要約
日本語
本論文は、電力システムにおける送電網制約が経済コストとCO2排出量のトレードオフに与える影響を分析する。銅板仮定（ネットワーク制約無視）では誤ったトレードフロンティアが得られるのに対し、ネットワークを考慮したモデリングにより飽和効果や空間的非対称性が明らかになり、効率的な再生可能エネルギー政策設計に不可欠であることを示す。
English
This paper investigates how network constraints shape the cost-emissions trade-off in power systems. Using Pareto frontier analysis, it shows that copper-plate assumptions produce misleading fronts, while network-aware modeling reveals saturation effects and spatial asymmetries critical for efficient policy design for renewable and flexibility investments.
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
日本の電力システム改革は送電網制約が重要な課題であり、本知見は再生可能エネルギー統合における立地政策や系統整備計画に示唆を与える。
In the global GX context
The paper contributes to the global discourse on power sector decarbonization by highlighting the often-overlooked role of transmission constraints in shaping cost and emission outcomes, urging regulators to adopt network-aware planning frameworks.
👥 読者別の含意
🔬研究者:Provides a quantitative method for analyzing cost-emissions Pareto frontiers under network constraints, useful for power system modeling and policy evaluation.
🏢実務担当者:Utility and grid operators can apply insights to optimize siting of renewables and flexibility resources, reducing curtailment and improving cost-effectiveness.
🏛政策担当者:Demonstrates that ignoring network constraints leads to inefficient incentive design; regulators should incorporate spatial and network factors into carbon pricing and renewable support schemes.
📄 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 cost-emissions 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
- Zenodo https://zenodo.org/records/21220192first seen 2026-07-07 04:12:54
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