高層集合住宅におけるエネルギー需要に対する電気自動車の影響評価
ASSESSING THE IMPACT OF ELECTRIC VEHICLES ON ENERGY DEMAND IN HIGH-RISE RESIDENTIAL BUILDINGS (原題)
Khalilzade Seymur Fazil oglu
🤖 gxceed AI 要約
日本語
高層集合住宅におけるEV充電が電力インフラに与える影響を、エネルギー収支・最大15分電力・利用可能な電力余裕・移動必要量の適時供給の観点から評価した研究。アゼルバイジャンの公式統計と国際文献に基づき、120戸・80駐車区画の仮想建物の再現可能な計算モデルを構築。即時充電・22時一斉充電・負荷連動型の管理充電を比較し、64台に各8kWh/日を供給すると日消費は1475kWhから1987kWhへ34.7%増加、即時充電ではピークが120kWから259.8kWへ上昇するが、協調制御なら120kWを維持できることを示した。
English
This study models how EV charging in a 120-apartment high-rise affects building electricity demand, comparing immediate, simultaneous 22:00, and load-managed charging. Supplying 64 vehicles 8 kWh/day raises daily consumption from 1475 to 1987 kWh (+34.7%); immediate charging lifts peak load from 120 to 259.8 kW, while coordinated control holds the peak at 120 kW. It proposes assessing power headroom jointly with energy provision and allocating reserve by forecast error.
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
集合住宅のEV充電管理は、再開発・RE100対応や系統制約下での需要側管理として日本でも関心が高い。SSBJ開示とは直結しないが、不動産・電力分野の脱炭素実務に示唆を与える。
In the global GX context
Managed EV charging in multifamily buildings is a growing demand-side flexibility topic relevant to grid decarbonization and building-level transition planning, though it sits outside core disclosure frameworks like ISSB or CSRD.
👥 読者別の含意
🔬研究者:建物単位のEV充電が電力ピークと余裕容量に与える影響を定量化する再現可能なモデル手法を提供する。
🏢実務担当者:集合住宅の充電設備計画で、ピーク抑制に協調制御が有効であることを投資判断に活用できる。
🏛政策担当者:集合住宅のEV充電インフラ規制や系統余裕確保の政策設計に参考となる。
📄 Abstract（原文）
Electric vehicle charging in high-rise residential buildings increases daily electricity consumption, but the magnitude of its impact on electrical infrastructure is primarily determined by the coincidence of charging. This study evaluates this impact in terms of the energy balance, maximum 15-minute active power, available power headroom, and the timely provision of the energy required for mobility. Drawing on official Azerbaijani statistics and international scientific literature, a reproducible computational model is developed for a hypothetical building with 120 apartments and 80 parking spaces. Immediate charging, simultaneous charging of all vehicles at 22:00, and managed charging aligned with the building load are compared. Under the baseline assumptions, supplying each of 64 vehicles with 8 kWh of electricity per day increases the building's daily consumption from 1475 kWh to 1987 kWh, or by 34.7%. Immediate charging increases the total peak load from 120 kW to 259.8 kW; coordinated control meets the same energy demand while maintaining the maximum at 120 kW. When high daily mileage and an increased building load are assumed together, the physical limitations of control also become apparent. The article proposes assessing power headroom jointly with energy provision, serving residents on the basis of energy provision by their departure time, and allocating a reserve according to forecast error. The results represent an analytical computational model based on explicit assumptions, rather than measurements conducted in an actual building in Baku.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/23758403first seen 2026-10-30 04:15:54
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