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A pathway to low-carbon, green energy using wind turbines in Iranian residential buildings

イランの住宅建築における風力タービンを用いた低炭素・グリーンエネルギーへの道筋 (AI 翻訳)

Nima Amani

Facilities📚 査読済 / ジャーナル2026-07-24#再生可能エネルギー経営インパクト: コスト削減対象セクター: real_estate
DOI: 10.1108/f-11-2025-0229
原典: https://doi.org/10.1108/f-11-2025-0229

🤖 gxceed AI 要約

日本語

本研究は、イランの沿岸温暖多湿地域における住宅用屋上風力タービンの技術的 feasibility とCO2削減効果を定量評価した。シミュレーションの結果、年間10,341kWhのクリーンエネルギー生産が可能で、ピーク冷房需要期(5-8月)に3,207kWhを直接供給できることが示された。この load-matching は、化石燃料由来電力への依存低減に有効である。

English

This study quantifies the feasibility and carbon emission reduction of integrating medium-sized wind turbines on residential rooftops in Iran's coastal temperate humid region. Simulations show annual clean energy production of 10,341 kWh, with 3,207 kWh during peak cooling months (May-Aug), directly offsetting fossil-fuel-based electricity demand. The findings provide actionable low-carbon pathway for residential development and regional energy policy.

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

日本でも沿岸部や離島での小型風力発電導入が進むが、本研究成果は季節的ピーク需要とのマッチング評価手法として参考になる。特に、SSBJや有報での再生可能エネルギー導入効果の定量開示に応用可能な知見を含む。

In the global GX context

This paper offers a replicable methodology for quantifying distributed wind energy's contribution to peak demand reduction, relevant for global climate disclosure frameworks like ISSB or TCFD that require scenario analysis of renewable energy integration. It also informs transition finance by demonstrating direct emission reduction potential in a specific climate zone.

👥 読者別の含意

🔬研究者:Demonstrates a holistic building energy modeling approach that links wind resource assessment to component-level energy savings, useful for similar studies in coastal climates.

🏢実務担当者:Provides quantified evidence that rooftop wind turbines can significantly offset peak cooling demand, supporting investment decisions in residential renewable energy projects.

🏛政策担当者:Offers actionable data for designing incentives or mandates for distributed wind energy in regions with high cooling loads, aiding national decarbonization strategies.

📄 Abstract(原文)

Purpose This study aims to address a critical gap in sustainable energy literature by quantifying the technical feasibility and carbon emission reduction of integrating a medium-sized wind turbine on residential rooftops within the unexplored Coastal Temperate and Highly Humid Region of Iran. The core objective was to determine if localized wind energy could provide a crucial, direct offset to the extremely high seasonal peak cooling demand currently met by fossil fuel generated electricity characteristic of this specific climate zone. Design/methodology/approach A rigorous building energy modeling (BEM) approach was used using DesignBuilder software to simulate a typical five-story residential building. The model was anchored by hyper-local, multidecade meteorological data specific to the study area. Unlike conventional studies focused solely on turbine performance, the author’s methodology centered on a holistic, component-level energy analysis, comparing a baseline scenario against an optimized scenario with the wind turbine integrated, focusing specifically on the energy components of cooling, heating and lighting. Findings The simulations yielded compelling evidence, demonstrating the turbine’s capacity for an impressive annual clean energy production of 10,341 kWh. Critically, the analysis revealed that 3,207 kWh of this energy is generated during the severe peak cooling months (May–August). This finding confirms a substantial and direct load-matching capacity, proving the system’s effectiveness in mitigating the most challenging energy load in the region – the air conditioning demands driven by high heat and humidity. Originality/value To the best of the author’s knowledge, this research is the first of its kind to move beyond generalized feasibility studies to establish a quantified demand-side mitigation strategy for this distinct coastal climate. By definitively linking localized wind resource assessment to demonstrable component-level energy savings, it offers an original, actionable and vital low-carbon pathway for residential development, providing essential data for regional energy policymaking.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。