成果報告書詳細
管理番号20090000000077
タイトル*平成20年度中間年報 太陽光発電システム共通基盤技術研究開発/発電量評価技術の研究開発
公開日2009/7/30
報告書年度2008 - 2008
委託先名独立行政法人産業技術総合研究所
プロジェクト番号P07015
部署名新エネルギー技術開発部 太陽電池グループ
和文要約太陽電池の性能を表す場合、従来では標準条件(STC)での性能評価(W)で対応してきたが、この方法では温度や日射量、スペクトル等の異なる環境下での発電量を評価できない欠点がある。このため、発電量定格(Wh)による評価法が求められている。また国際的にも発電量定格の標準化が進められつつあり、対応が必須となっている。そこで、産業技術総合研究所(AIST)は、屋外計測で得られたI-V 特性値をSTC 等の環境条件で得られる値に換算するための方式を開発する。線形内挿法式の開発を進め、屋外実測データに基づき精度検証および適合範囲の確認を行う。発電量定格技術として有効な気象モードを設定し、任意期間の積算発電量を計算する方式を開発する。IEC/TC82/WG2 のIEC60891 改訂審議やIEC61853 の規格決定に向けた活動を行う。
英文要約Title:Research and Development of Common Fundamental Technologies for Photovoltaic Generation Systems. Development of new solar cell evaluation technologies. Development of Evaluation Technologies for Energy Yield of Photovoltaic Generation Systems (FY2006-FY2009) FY2008 Annual Report
It is important for end-users to know the performance and energy yields of photovoltaic (PV) modules under actual ambient conditions in order to assess different PV module technologies. Knowing possible energy yield from any PV module technologies leads them to respective fruitful and successful market regions. For example, regions in cold and dry climate seem to be suitable to crystalline Si PV devices, and regions in hot and humid climate seem to be suitable to amorphous Si PV devises. :When an annual energy yield is estimated by using a nominal power rating value (ex. Wp at STC) with local climate database, it is essential to find appropriate empirical equations to convert nominal power to actual power in arbitrary weather conditions. Because forming the empirical theory needs a wide variety of empirical observation, it is time-consuming for new PV module products to make precise empirical algorism of the conversion. The I-V curve translation method by bilinear interpolation is a promising method to neglect long-term monitoring period. If the four appropriate I-V curves are measured and set, an I-V curve in the arbitral binominal distribution of irradiance and cell temperature can be estimated by the bilinear interpolation method. :In FY2008, we have continued to carriy out the round-robin test for PV module outdoor performance test together with JWA and OITDA (six manufacturers.) The I-V and weather measurements for about one month were performed in four companies of PV manufacturers' site and two other locations (six locations in total.) The change in spectrum irradiance mainly caused by the seasonal change in humidity affected the seasonal performance of a-Si considerably, though the effect of temperature change on the seasonal performance was relatively slight. A simple regression model for predicting daily energy output of PV modules and five indexes suitable for explaining atmospheric conditions and the performance of PV modules are proposed. It was found that this model could estimate the daily energy output precisely by using the daily solar irradiation, the daily Weighted Temperature of PV modules and the Weighted Wavelength of the daily Weighted Solar Spectrum. The Weighted Wavelength had the key to the accurate estimation of the energy output under the climate in which atmospheric conditions change dramatically in a season, like in tropical region, Okinoerabu-island. Exchange of parameters of the simple regression model between spring and summer was not valid for a-Si but for c-Si.
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