Demand flexibility and electrification of transportation sector in energy transition
エネルギー転換における需要柔軟性と運輸部門の電化 (AI 翻訳)
P. Sanongboon, M. Tohidi
🤖 gxceed AI 要約
日本語
電気自動車の普及による電力需要の増加とピーク負荷に対応するため、需要柔軟性を活用した枠組みを提案。HESOモデルを用いて時間単位の需要と供給を同時最適化し、オンタリオ州のケーススタディで需要柔軟性のコスト便益を分析。結果、天然ガス火力の容量削減と原子力のシェア増加により、電力コスト6%削減、排出量38%削減を達成。
English
This paper proposes a demand flexibility framework to manage increased electricity demand from EV adoption, using the HESO model to optimize hourly supply and demand. A case study in Ontario, Canada, shows that demand flexibility reduces natural gas peaking capacity and increases nuclear share, achieving a 6% reduction in levelized cost of electricity and a 38% decrease in emissions.
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
日本のエネルギー転換において、EV普及に伴う系統安定化と再エネ統合は重要課題。本研究成果は、需要柔軟性の定量評価手法として、日本の系統運用や電力市場設計に示唆を与える。
In the global GX context
This research contributes to global energy transition scholarship by quantifying the benefits of demand flexibility for integrating renewables and electrifying transport. It provides a modeling framework applicable to other regions facing similar grid integration challenges.
👥 読者別の含意
🔬研究者:Provides a novel modeling framework for demand flexibility and electrification, with quantitative results on cost and emissions reductions.
🏢実務担当者:Offers insights for utilities and grid operators on leveraging demand flexibility to manage EV load and optimize capacity mix.
🏛政策担当者:Highlights the value of demand flexibility policies in supporting EV adoption and renewable integration, with evidence from Ontario.
📄 Abstract（原文）
The growth of electric vehicles will inevitably increase electricity demand and its peaks. The power grid can become overloaded and unstable without appropriate energy policies and management technologies. Demand flexibility can allow better integration of renewables by aligning energy production and consumption while promoting the growth of electric vehicles by shifting the portion of electricity use. Enabled by the Hybrid Energy System Optimization (HESO) model, we present a novel framework for demand flexibility that allows the simultaneous optimization of hourly energy demand and supply, promoting better energy system integration with renewables. We provide mathematical formulations to represent demand flexibility in the HESO model. A case study is included to showcase simulation results based on different degrees of flexibility, investigating the cost-benefit of demand flexibility and the impacts of electrification on the transportation sector in Ontario, Canada, with a focus on road passenger and freight vehicles. By accounting for hourly variability, availability, and technological constraints, our findings demonstrate that demand flexibility can reduce the capacity of natural gas power plants, typically required for peaking, and increase the share of nuclear energy in the capacity mix, resulting in a 6% reduction in the levelized cost of electricity and a 38% decrease in emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1080/03155986.2026.2700095first seen 2026-08-08 04:48:55
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