Low-Carbon Demand Response Technology Based on Composite Carbon Emission Factors
複合炭素排出係数に基づく低炭素デマンドレスポンス技術 (AI 翻訳)
Shunyu Zhu, Zhao Xu, Jian Zhang, Hongyi Ye
🤖 gxceed AI 要約
日本語
本論文は、動的炭素排出係数（DCEF）と限界炭素排出係数（MCEF）を適応的に統合した複合炭素排出係数（CCEF）を提案し、送電系統の制約下で発電コストと炭素削減の両立を図る。IEEE 39母線システムでのシミュレーションにより、単位排出削減効率0.5024 tCO2/MW、総削減量462.03 tCO2を達成し、個別のDCEFやMCEFよりも優れた性能を示した。
English
This paper proposes a composite carbon emission factor (CCEF) demand response framework that adaptively integrates dynamic and marginal carbon emission factors. The co-optimization model minimizes generation costs under network constraints while guiding load shifting from evening peaks to high-renewable midday periods. Simulations on a modified IEEE 39-bus system achieve a unit emission reduction efficiency of 0.5024 tCO2/MW and total reduction of 462.03 tCO2, outperforming single-factor strategies.
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、再生可能エネルギーの大量導入に伴い、需給調整力の確保と炭素排出削減が課題となっている。本手法は、リアルタイムの電源構成に応じて炭素排出係数を動的に調整するため、日本の電力システムにおけるデマンドレスポンスの高度化に示唆を与える。
In the global GX context
This framework directly embeds carbon signals into demand response scheduling, aligning with global trends toward carbon-aware power system operation. It demonstrates how composite emission factors can achieve both economic and environmental objectives, relevant for ISSB-aligned emissions reporting and grid decarbonization strategies.
👥 読者別の含意
🔬研究者:Offers a novel adaptive weighting method for carbon emission factors in demand response optimization, with clear performance metrics.
🏢実務担当者:Provides a practical load shifting framework that can be adopted by utilities for carbon-aware demand management.
🏛政策担当者:Illustrates how carbon pricing signals can be integrated into grid operations, supporting policy design for emissions reduction.
📄 Abstract（原文）
This paper proposes a composite carbon emission factor (CCEF) demand response framework to address the limitations of single-factor carbon accounting and achieve economic–environmental synergy. The CCEF mechanism integrates the dynamic carbon emission factor (DCEF) and marginal carbon emission factor (MCEF) through an adaptive weight allocation based on the real-time generation mix. To ensure practical scheduling, the load shifting process is embedded in a co-optimization model that minimizes system generation costs under demand-side physical constraints and network security limits. This mechanism guides spatiotemporal load shifting from thermal-dominated evening peaks to high-renewable midday periods based on carbon potential gradients. Simulations on a modified IEEE 39-bus system show that the CCEF framework achieves a unit emission reduction efficiency of 0.5024 tCO2/MW and a total reduction of 462.03 tCO2. These results outperform individual DCEF and MCEF strategies, demonstrating feasible scheduling and an effective balance between carbon reduction and operational costs.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19122785first seen 2026-06-12 05:08:43
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