Estimating the Potential of Demand Response by Electric Vehicles in Commercial Districts- A Case Study in Tokyo Station Front District
商業地区における電気自動車によるデマンドレスポンスの可能性の推定－東京駅前地区を事例として (AI 翻訳)
Toyoshima T, Takaguchi H
🤖 gxceed AI 要約
日本語
東京駅前地区を対象に、EVを活用したデマンドレスポンス（EV-DR）の経済性と環境効果をシミュレーション。2050年までの床面積増加や電力需要増を踏まえ、駐車場容量も試算。双方向EV-DRにより電気料金を6.6～16.8%削減、CO2も車両あたり年0.5～1.7トン削減可能と示した。
English
This study simulates the potential of EV-based demand response in the Tokyo Station Front District, projecting building stock and electricity demand to 2050. Results show that bidirectional V2B/V2G charging can reduce annual energy costs by 6.6–16.8% and achieve CO2 reductions of 0.5–1.7 t-CO2 per vehicle per year. The findings support EV-DR as a scalable strategy for commercial district decarbonization.
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、東京駅前のような大規模再開発地域でのEV活用は、ビル側のエネルギー管理と都市全体の脱炭素に貢献。V2B/V2Gによる経済性と環境効果の実証データは、SSBJや有報での非財務情報開示（Scope 2削減）にも活用可能。また、2050年カーボンニュートラル目標への具体的施策として期待される。
In the global GX context
For global context, this paper provides a detailed case study of EV integration in a dense commercial area, combining building stock projections, EV driving patterns, and price-responsive control. It shows that EV-DR can reduce both peak loads and emissions, offering a blueprint for commercial districts worldwide aiming for decarbonization. The economic benefits (170k-180k JPY/EV/year) make it a viable option for building owners and grid operators.
👥 読者別の含意
🔬研究者:Provides a simulation framework that integrates building stock projections, EV driving patterns, and V2B/V2G control; useful for modeling district-level energy flexibility.
🏢実務担当者:Demonstrates cost savings and CO2 reduction potential for commercial building owners considering EV charging infrastructure investment.
🏛政策担当者:Offers empirical evidence for promoting EV-based demand response in urban redevelopment areas as part of decarbonization policy.
📄 Abstract（原文）
<title>Abstract</title> <p>Electric vehicles (EVs) are increasingly recognised as flexible energy resources capable of supporting demand response (DR) in commercial buildings. This study investigates the economic and environmental potential of EV-based DR (EV-DR) in the Tokyo Station Front District, a large-scale commercial redevelopment area in Japan. A simulation framework was developed integrating future building stock projections, high-resolution electricity demand modelling, stochastic EV driving patterns, and price-responsive charging/discharging control. Projections to 2050 indicate that total floor area will increase by approximately 55% and district-wide electricity demand by 67.6%, with newly constructed buildings accounting for more than half of total consumption. Parking supply is projected to peak at approximately 8,500 spaces around 2035, creating favourable conditions for large-scale EV integration. Economic analysis across three representative office buildings demonstrates that bidirectional EV-DR (V2B/V2G) reduces annual energy costs by 6.6–16.8% compared with uncontrolled charging, yielding a consistent benefit of approximately 170,000–180,000 JPY per EV per year. From a decarbonisation perspective, carbon-aware control based on average emission factors achieves the largest CO₂ reductions, ranging from 0.5 to 1.7 t-CO₂ per vehicle annually depending on driving distance. These findings demonstrate that EV-DR is a scalable and economically viable strategy for reducing peak loads and supporting district-level decarbonisation in dense commercial areas.</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-9877474/v1first seen 2026-06-12 04:28:53
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