費用対効果の高い低炭素建築設計のための多目的最適化
Multi-Objective Optimization for Cost-Effective Low-Carbon Building Design (原題)
Rolains Golchimard Elenga, Qingbiao Wang, Kehinde Zacheaus Babalola, Daolu Quan, Hao Lv, Pengyue Wang
🤖 gxceed AI 要約
日本語
中央アフリカ8気候帯の住宅を対象に、EnergyPlusとNSGA-IIを組み合わせ、エネルギー消費・初期投資・運用炭素を同時最小化する最適化枠組みを提案。最適解は53〜59%の省エネとPVによるネット負の炭素を達成。炭素税・補助金シナリオでは回収期間が14〜18年から6〜9年に短縮し、政策インセンティブの有効性を示した。
English
This study proposes a climate-responsive multi-objective optimization framework combining EnergyPlus and NSGA-II to design low-carbon residential buildings across eight Central African climate zones, minimizing energy, cost, and operational carbon. Optimized designs cut energy 53-59% and achieve net-negative operational carbon with PV. Carbon tax and subsidy scenarios shorten payback from 14-18 to 6-9 years, showing policy incentives drive viability.
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
日本の建築物省エネ法・ZEH・GX推進法における炭素税・補助金設計と通底する。特に補助金による回収期間短縮の定量評価は、国内の住宅脱炭素政策・投資判断の参考になる。
In the global GX context
Adds empirical evidence on how carbon pricing and subsidies reshape building decarbonization economics, relevant to global debates on building codes, green building finance, and transition incentives under frameworks like CSRD and national carbon markets.
👥 読者別の含意
🔬研究者:建築エネルギー最適化と政策インセンティブを統合した多目的最適化手法の実証例として参考になる。
🏢実務担当者:炭素税・補助金が回収期間を大幅短縮する点は、低炭素建築投資の意思決定に活用できる。
🏛政策担当者:補助金設計が住宅脱炭素の経済性を大きく改善することを示し、建築政策のインセンティブ設計に示唆を与える。
📄 Abstract（原文）
Residential buildings account for a substantial share of global energy consumption and carbon emissions. This study proposes a climate-responsive multi-objective optimisation framework for identifying optimal low-carbon residential building designs across eight representative climate zones in Central Africa. The framework combines EnergyPlus building energy simulations with the Non-dominated Sorting Genetic Algorithm II to simultaneously minimise energy consumption, initial investment cost, and operational carbon emissions while satisfying comfort constraints. To further evaluate the economic viability of the optimised solutions, carbon tax and public subsidy scenarios were introduced. The optimised sustainable configurations achieved energy savings of 53.13–59.85% relative to the reference buildings, while photovoltaic integration enabled net-negative operational carbon emissions across all climate zones. The resulting solutions required initial investments of 233.90–295.01 USD/m2, generated life-cycle benefits (LCB) of 28.45–54.81 USD/m2, achieved levelized cost of electricity (LCOE) of 0.06–0.10 USD/kWh, and exhibited payback periods (PBP) of 14–18 years. Under public subsidy scenarios, LCB increased substantially, LCOE decreased to 0.03–0.05 USD/kWh, and PBP was reduced to 6–9 years. These findings demonstrate that integrating climate-responsive design optimisation with policy-based economic incentives provides an effective decision-support framework for balancing energy efficiency, affordability, and carbon mitigation, offering practical guidance for low-carbon residential development in Central Africa.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16183626first seen 2026-09-14 04:40:47
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