SAMに基づく農村屋根置きPVシステムの炭素排出削減量評価
Assessment of Carbon Emission Reductions from a Rural Rooftop PV System Based on SAM (原題)
Weixiu Shi, Shuang Quan
🤖 gxceed AI 要約
日本語
北京市郊外の典型的な農村住宅屋根置きPVを対象に、System Advisor Model（SAM）と運転期間ベースライン法で時間別シミュレーションを実施。初年度発電量15,902kWh、年間削減量12.60tCO2を得た。日射モデル選択で最大0.51tCO2、モジュール劣化とグリッド排出係数変化を考慮すると累積削減量が理想ケース比68.37tCO2減少し、電力系統の脱炭素が速いほど累積削減量は小さくなる。北京と武漢の地域差も2.94tCO2と季節変動パターンに差が見られた。
English
Using the System Advisor Model (SAM) and an operational-period baseline, this study simulates a typical rural rooftop PV system in Beijing. First-year generation reaches 15,902 kWh with 12.60 tCO2 annual reduction; irradiance model choice causes up to 0.51 tCO2 deviation, while module degradation and grid emission factor changes cut cumulative reductions by 68.37 tCO2 versus the ideal case. Faster grid decarbonization lowers cumulative PV credits, and Beijing–Wuhan regional differences reach 2.94 tCO2 annually.
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
日本では再エネ賦課金・FIT/FIPや農山漁村再エネ法、自治体の脱炭素先行地域など農村部PVの導入支援が進む。本稿の時間別・地域別の削減量推計手法は、自治体や企業の再エネ調達・Scope2算定の精緻化に示唆を与える。
In the global GX context
As ISSB/CSRD push companies to report location- and time-specific Scope 2 emissions, this paper shows how irradiance model choice, module degradation and grid decarbonization pathways materially change claimed PV carbon credits. It offers a transferable methodology for rural distributed PV accounting in emerging markets.
👥 読者別の含意
🔬研究者:時間別シミュレーションと運転期間ベースライン法を組み合わせ、日射モデル・劣化・系統排出係数の感度を定量化した点が参考になる。
🏢実務担当者:屋根置きPVの削減量を過大評価しないため、系統排出係数の将来低下とモジュール劣化を織り込んだ算定が実務上有用。
🏛政策担当者:農村PVの支援制度設計では、系統脱炭素の速度が削減クレジットを減らす点を考慮した目標設定が必要。
📄 Abstract（原文）
To investigate the effects of model selection, time-varying parameters and climatic differences on the carbon emission reduction performance of rural rooftop photovoltaic (PV) systems, this study selected a typical rural residential rooftop PV system in Beijing as the research object. Hourly simulations using the System Advisor Model (SAM) and an operational-period baseline method were employed to optimize the PV array parameters and conduct a multi-factor analysis of carbon emission reductions. The results show that the first-year electricity generation was 15,902 kWh, corresponding to an annual carbon emission reduction of 12.60 tCO2. The carbon emission reduction estimates obtained using the three irradiance models differed, with a maximum deviation of 0.51 tCO2. When both PV module degradation and changes in the grid emission factor were considered, the cumulative carbon emission reduction decreased by 68.37 tCO2 relative to the ideal scenario. Moreover, the faster the grid transition speed, the lower the cumulative carbon emission reduction over the system’s operational period. In addition, extending the analysis from a single region to multiple regions revealed that the annual carbon emission reductions in representative rural residential rooftop PV systems in Beijing and Wuhan differed by 2.94 tCO2, with differences also observed in their seasonal variation patterns. The assessment of rural rooftop PV systems should comprehensively consider irradiance model selection, module power degradation, grid transition pathways, regional climatic conditions and economic feasibility.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16183604first seen 2026-09-14 04:49:35
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