Tri-Objective Pareto Optimization of Residential Building Envelopes for Energy, Thermal Comfort, and Embodied Carbon in Inland and Coastal Hot-Arid Climates
内陸および沿岸の高温乾燥気候における住宅外皮のエネルギー、温熱快適性、および体積炭素のトリ目的パレート最適化 (AI 翻訳)
Ghayth Tintawi, Khuloud Ali, Mohamad Khaled Bassma
🤖 gxceed AI 要約
日本語
サウジアラビア・リヤドとUAE・ドバイの高温乾燥気候を対象に、住宅外皮の窓壁比、ガラス種、日よけ深さ、冷房設定温度を多目的最適化（NSGA-II）した。エネルギー消費、温熱不快時間、体積炭素を同時に最小化し、最適解は低窓壁比（10-16%）、高性能ガラス、1.5-2.0mのオーバーハングを推奨。年間エネルギー需要を約73-75%削減可能と示した。
English
This study presents a tri-objective Pareto optimization of residential building envelopes in hot-arid climates (Riyadh and Dubai) using NSGA-II. It optimizes window-to-wall ratio, glazing, shading, and cooling setpoint to minimize annual energy consumption, thermal discomfort hours, and embodied carbon. Optimal solutions favor low window-to-wall ratios (10-16%), high-performance glazing, and 1.5-2.0m overhangs, achieving ~73-75% energy reduction.
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
日本は高温多湿気候が主であり、本論文の乾燥気候向け設計ガイドラインは直接適用できないが、多目的最適化手法はZEHや省エネ基準策定の参考になる。また、体積炭素評価を含む点はライフサイクル炭素評価の重要性を示唆する。
In the global GX context
This study demonstrates a multi-objective optimization framework for building envelope design that balances operational energy, comfort, and embodied carbon. While focused on Gulf climates, the methodology is transferable to other regions and supports global efforts to decarbonize buildings through integrated design strategies.
👥 読者別の含意
🔬研究者:Researchers can adopt the tri-objective optimization framework (NSGA-II) for building performance analysis in other climates.
🏢実務担当者:Architects and engineers can use the recommended design parameters (low WWR, high-performance glazing, deep overhangs) for energy-efficient residential buildings in hot-arid regions.
📄 Abstract（原文）
Buildings account for a substantial share of global energy consumption and greenhouse gas emissions, creating an urgent need for design strategies that simultaneously address operational performance, occupant comfort, and life-cycle environmental impacts. While simulation-based optimization has become increasingly common in building performance research, relatively few studies evaluate energy use, thermal comfort, and embodied carbon within a unified tri-objective framework. This study presents a simulation-based tri-objective Pareto optimization of residential buildings in Riyadh, Saudi Arabia, and Dubai, United Arab Emirates, using DesignBuilder, EnergyPlus, and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). A standardized four-story residential apartment prototype comprising 16 thermal zones and 2239.82 m² of conditioned floor area was developed and simulated under identical geometric, operational, and HVAC assumptions. Window-to-wall ratio, glazing type, external shading depth, and cooling setpoint temperature were optimized to minimize annual site energy consumption, ASHRAE 55 thermal discomfort hours, and embodied carbon emissions. Baseline simulations revealed substantially higher operational demand in Dubai, with annual energy consumption reaching 272,077 kWh compared with 196,478 kWh in Riyadh, while discomfort hours increased from 2,530 h/year to 3,262 h/year. Optimization reduced annual energy demand by 72.9% in Riyadh and 74.5% in Dubai, while thermal discomfort was reduced to 776 h/year in the best-performing comfort solution. Pareto-optimal solutions consistently favored low window-to-wall ratios (10–16%), high-performance glazing, and external overhangs between 1.5 and 2.0 m. The findings demonstrate the effectiveness of tri-objective optimization for balancing operational efficiency, occupant comfort, and embodied carbon while providing climate-responsive façade design guidance for residential buildings in hot-arid Gulf environments.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.20944/preprints202606.0748.v1first seen 2026-07-06 04:38:00
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。