系統連系ハイブリッドPV–WECS：インド・マディヤ・プラデーシュ州の政府所有再エネ資産を用いた公共データに基づく技術経済・発電量・系統統合評価
GRID-CONNECTED HYBRID PV–WECS A Public-Data-Based Techno-Economic, Energy-Yield and Grid-Integration Assessment Using Government-Owned Renewable Assets in Madhya Pradesh, India. (原題)
MD MISTER, Dr. AMOL BARVE, Dr. NAND KISHORE
🤖 gxceed AI 要約
日本語
インド・マディヤ・プラデーシュ州の政府所有太陽光50MWと風力63.2MWを仮想統合し、CEA・PIBの公開データで技術経済・発電量・系統統合を評価。太陽光CF約18.0%、風力約24.8%、統合113.2MWで年216.41GWh・CF約21.8%、純212.08GWh、CO2削減約16.1万トンと試算。再現可能な枠組みを提示し、時間別シミュレーションや系統分析への拡張を想定。
English
Using public CEA/PIB data, this study assesses a virtual 113.2 MW hybrid of a 50 MW NTPC solar plant and 63.2 MW of Oil India wind assets in Madhya Pradesh. Solar CF was ~18.0% and wind ~24.8%; combined annual generation reached 216.41 GWh (CF ~21.8%, net 212.08 GWh) with ~161 kt CO2 avoided. It offers a transparent, reproducible framework extensible to hourly simulation and grid analysis.
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
日本では再エネ導入拡大と系統制約が課題であり、公開データに基づくハイブリッド系統統合評価は、FIT/FIP後の電源構成や系統運用、自治体・企業の再エネ調達戦略を検討する際の参考になる。SSBJ開示における再エネ比率・削減量算定の基礎資料としても有用。
In the global GX context
As grids worldwide integrate variable renewables, this public-data hybrid assessment offers a reproducible template for evaluating co-located solar-wind portfolios and grid integration. It supports disclosure of renewable generation and avoided emissions under TCFD/ISSB and informs transition planning in emerging markets.
👥 読者別の含意
🔬研究者:公開データのみで再現可能なハイブリッド再エネ評価手法を提供し、時間別・系統分析への拡張の出発点となる。
🏢実務担当者:自社の再エネ資産ポートフォリオの容量係数・発電量・削減量を公開データで検証する際の枠組みとして活用可能。
🏛政策担当者:系統連系ハイブリッドの実証評価は、再エネ導入政策や系統運用ルール設計のエビデンスになり得る。
📄 Abstract（原文）
Driven by the rapid adoption of variable renewables, there is a need for hybrid generation systems which utilize different complementary renewable resources while abiding by the grid's operational constraints. This paper presents a transparent, reproducible, public-data based assessment of a grid-connected hybrid photovoltaic and wind energy system made by two government-owned renewable energy plants in Madhya Pradesh. These plants are the 50 MW NTPC Rajgarh Solar PV Power Plant and the Oil India Limited's 63.2 MW worth of wind plants in the state. Data about power plants' capacity and output, generated and delivered, is publicly and transparently provided by the Central Electricity Authority and Press Information Bureau in the case of these two plant. It allows to perform an auditable, secondary-data case study on them. In FY18-19 the 50MW NTPC Rajgarh solar plant delivered 78.93 GWh whereas the oil India projects' output totaled 137.48 GWh. Their respective capacity factors calculated are ~18.02 % for solar and ~24.83 % for wind power plants. Then, we consider an aggregated virtual portfolio of 113.2 MW. If there are aggregated together, these plants would deliver annual generation equal to 216.41 GWh thus totaling a ~21.82 % CF for the whole portfolio and 212.08 GWhnet (with ~ 2 % hybrid collection/evacuation loss). The estimated C02 reduction with the CEA C02 emission factor (0.744tCO 2/MWh for FY18-19) is then of approximately 161k tones. Indeed, while the model intends to use, for as long as possible, measured data in order to discriminate simulation assumptions from real input data (no co-location or sub hourly complementary was assumed between the two plants and measured data do not suffice to assess such complementarity) and intends to provide a suitable model that can be followed up by the already mentioned simulation at hourly basis,power-quality analysis, PV battery sizing, ramp-rate analysis, forecasting, or economic optimization; this framework can be very useful for any academic (paper/PhD study, design study).
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/22728302first seen 2026-09-13 04:13:05 · last seen 2026-09-14 04:12:39
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