成果報告書詳細
管理番号20120000000552
タイトル*平成23年度中間年報 太陽エネルギー技術研究開発/太陽光発電システム次世代高性能技術の開発/発電量評価技術等の開発・信頼性及び寿命評価技術の開発
公開日2012/6/20
報告書年度2011 - 2011
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P0715
部署名新エネルギー部
和文要約和文要約等以下本編抜粋:
1. 研究開発の内容及び成果等
発電量評価技術の開発
1 太陽電池性能評価・校正技術(AIST)
a.太陽電池性能評価技術
(1)太陽電池実効性能評価技術の研究開発
光照射効果を含めた性能評価技術については、アモルファスおよびCIGS 太陽電池ミニモジュールの光照射・熱アニールにおいて照度温度等の条件が及ぼす基本的効果を検討した。市販構造のアモルファス太陽電池ではIEC61646 の光照射条件範囲内でも照射後の出力に1 割近い幅があるが、CIGS 太陽電池ではほぼ差がない。来年度はアニール効果を含めた定量化とモジュールサイズでの検証を実施する。
英文要約Title:R&D for High Performance PV Generation Sys. for the future
Research and development of PV performance and reliability characterization technologies
(FY2010-FY2012) FY2011 Annual Report
1-1. PV performance measurement and calibration technologies
Temperature dependence of spectral response has been investigated.Precision performance measurements were carried out for 65 novel PV devices developed under NEDO project etc. International round robin measurements with Asian PV testing lab.s were analyzed. CPV outdoor performances in Okayama, Japan and Aurora, USA were investigated.
As for the reference cell calibration technologies, the incident angle dependency and response characteristics were evaluated under a high-collimated solar simulator, using the absolute cavity radiometer optical system completed in this fiscal year.
1-2. PV energy rating and prediction technologies
The power output of various PV modules (a-Si:H/sc-Si, sc-Si, pc-Si, CIGS, a-Si:H, and a-Si:H/μc-Si:H) were measured by a pulse solar simulator. After the initial measurements, the PV modules were installed in the outdoor measurement systems at the Tsukuba and Tosu sites. The output energy has been measured under actual outdoor conditions since the beginning of 2012. A comparison between the indoor and outdoor performance indicates that the energy output under defined conditions could be estimated with the agreement of ±5 % in the case of bulk silicon PV modules..
PV energy prediction technology has been investigated in order to predict the energy output of PV systems based on meteorological parameters and irradiation data. We developed and compared with black box model and regression model as the prediction method. The proposed method using support vector machine resultants the best accuracy, 0.10kW/m2 of RMSE. From re-examination of MSM forecasts, it was found that inappropriate representation of low-level (middle and high-level) clouds lead to overestimation (underestimation) of solar irradiance.
2-1. PV reliability characterization technologies
In order to extract and solve the technical requirement concerning on scale-up of test module, such as a power supply, a control circuit, an electric circuit, and so on, we made a reverse bias constant current test and IV duty cycle test using 4 cells mini-modules. We confirmed that this testing method is effective for not only visual degradations but also I-V degradations (Rsh, Rs).
Ingress route of water vapor into photovoltaic modules were investigated. Cobalt chloride (CoCl2) paper was used for detecting the moisture ingress route into the modules.
2-2. PV on-site inspection technologies
For on-site inspection technologies, the linear interpolation was applied for the IV curve of system output. As a result using demonstrated data, the output degradation and failures seems to detect by comparing between calculated I-V curve and measured I-V curve.
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