キャンパス太陽光発電による炭素削減量の定量化：実証的ケーススタディ
Quantifying Carbon Abatement from Campus Solar Photovoltaics: An Empirical Case Study (原題)
Rafe Alasem, Ruhi Sethi, Maher Alrahhal, Saher Nabi
🤖 gxceed AI 要約
日本語
アミティ大学ドバイの5基の太陽光発電設備について、2022年1月から2026年8月までの月次記録を用い、回避排出量を5つの排出係数シナリオで試算した。DEWA平均係数では約1826tの総回避排出量となるが、IFIのマージン係数では結果が大きく変動する。計測期間や自己消費・輸出・契約条件が未確定なため、本結果は検証済みのScope 2削減量ではなく条件付きのスクリーニング推計であると著者らは明示している。
English
This study estimates avoided emissions from a five-array campus PV fleet at Amity University Dubai using monthly records from Jan 2022 to Aug 2026, testing five emission-factor scenarios. A DEWA-average factor yields roughly 1826 t of gross avoided emissions, while IFI margin factors produce materially different results. Because metering periods, self-consumption, exports and contractual arrangements are unverified, the authors frame results as conditional screening estimates rather than verified Scope 2 reductions.
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
再エネ導入効果の算定において排出係数選択と計測境界の不確実性を明示する本手法は、SSBJや有報でのScope 2削減主張の根拠整備、投資家向け開示の堅牢性確保に示唆を与える。
In the global GX context
The paper's emphasis on emission-factor choice and metering-boundary uncertainty speaks directly to Scope 2 accounting under GHG Protocol and ISSB/CSRD disclosure, where market- vs location-based factors and verified data quality are contested. It offers a transparent scenario framework for corporate self-generation claims.
👥 読者別の含意
🔬研究者:排出係数シナリオと計測境界の不確実性を扱う会計フレームワークとして、Scope 2算定研究の方法論的参照になる。
🏢実務担当者:自社太陽光の削減効果を開示する際、係数選択と計測根拠の透明化が監査・投資家対応に不可欠だと分かる。
🏛政策担当者:再エネ自己消費の削減量認定において、計測期間・境界定義の標準化が必要であることを示す。
📄 Abstract（原文）
Campus photovoltaic (PV) systems are often credited with a single avoided-emissions figure, although the result depends on the grid factor selected and on what the metering records actually represent. This study examines the available monthly records associated with the five-array PV fleet at Amity University Dubai, United Arab Emirates, from January 2022 to August 2026. The supplied workbook totals 4.62 GWh across 56 monthly entries; however, the workbook labels and billing dates do not independently verify that all entries represent calendar-month PV production measured at the same meter. The March–April 2026 shortfall is unexplained and may be affected by billing-period differences. Five emission-factor scenarios are evaluated: year-matched Dubai Electricity and Water Authority (DEWA) averages, an illustrative transmission-and-distribution-loss adjustment, and International Financial Institution (IFI) operating-, combined- and derived build-margin factors for the UAE. Under the full-displacement assumption, the DEWA-average scenario gives approximately 1826 t of estimated gross avoided emissions; alternative IFI scenarios produce materially different results. The Monte Carlo interval reflects only the analyst-selected meter and factor-error distributions and is not a measure of total uncertainty. Because meter-period definitions, self-consumption, exports, curtailment and the relevant contractual arrangements are not established, the results are conditional screening estimates, not measurements of realized avoided emissions or verified Scope 2 reductions. This study provides a scenario-based accounting framework and identifies the evidence needed for a more defensible assessment.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su182111422first seen 2026-11-12 05:38:01 · last seen 2026-11-14 05:44:41
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