NDLI: Field spectra binning for energy production calculations and multijunction solar cell design

Content Provider	IEEE Xplore Digital Library
Author	Garcia, I. McMahon, W.E. Habte, A. Geisz, J.F. Steiner, M.A. Sengupta, M. Friedman, D.J.
Copyright Year	2015
Description	Author affiliation: Inst. de Energia Solar, Univ. Politec. de Madrid, Madrid, Spain (Garcia, I.) \|\| Nat. Renewable Energy Lab., Golden, CO, USA (McMahon, W.E.; Habte, A.; Geisz, J.F.; Steiner, M.A.; Sengupta, M.; Friedman, D.J.)
Abstract	Annual spectra sets must be used for accurate energy production prediction and multijunction solar cell design for maximum energy production at a specific site. These spectra sets contain a large quantity of data that is cumbersome to manage during solar cell design calculations and impractical to reproduce in solar simulators for indoor energy production measurements. However, it should be possible to bin together spectra with similar spectral contents, and then use this reduced set with little loss of accuracy. We present two binning algorithms which judiciously bin together similar spectra to create a much smaller “proxy” set, for which the total measurement time, energy production calculation and solar cell optimization decreases to a matter of seconds. These algorithms are assessed against their accuracy in representing the whole spectra sets for solar cell design and energy production prediction. We find that a set of just five spectra fulfills this requirement. In addition, the sets of proxy spectra act as “fingerprints” of specific sites, and provide an efficient and effective way to understand how cell design and performance vary from site to site. Furthermore, the process of reducing a full data set to a few proxy spectra can help assess the quality of the dataset for multijunction applications, and contribute to improvements to the datasets and data collection methods.
Starting Page	1
Ending Page	3
File Size	826266
Page Count	3
File Format	PDF
e-ISBN	9781479979448
DOI	10.1109/PVSC.2015.7356207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Loss measurement Energy measurement Data models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spectral binning for energy production calculations and multijunction solar cell design

Multijunction Solar Cell Technology for Mars Surface Applications

SUPER-MULTIJUNCTION CELL, A NEW SOLAR CELL OVERCOMING THE SPECTRUM LOSS OF MULTIJUNCTION CELLS

Design of bottom silicon solar cell for multijunction devices

Heat loss modeling for the ANL Research Solar Pond

III-V Growth on Silicon Toward a Multijunction Cell

Polycrystalline Thin-Film Multijunction Solar Cells

Performance analysis and modeling of the world's largest CPV power plant

100 mm Engineered InP-on-Si Laminate Substrates for InP-based Multijunction Solar Cells

Field spectra binning for energy production calculations and multijunction solar cell design

Similar Documents

Spectral binning for energy production calculations and multijunction solar cell design

Multijunction Solar Cell Technology for Mars Surface Applications

SUPER-MULTIJUNCTION CELL, A NEW SOLAR CELL OVERCOMING THE SPECTRUM LOSS OF MULTIJUNCTION CELLS

Design of bottom silicon solar cell for multijunction devices

Heat loss modeling for the ANL Research Solar Pond

III-V Growth on Silicon Toward a Multijunction Cell

Polycrystalline Thin-Film Multijunction Solar Cells

Performance analysis and modeling of the world's largest CPV power plant

100 mm Engineered InP-on-Si Laminate Substrates for InP-based Multijunction Solar Cells

Field spectra binning for energy production calculations and multijunction solar cell design