Photovoltaic Degradation Risk

Dirk C. Jordan; Sarah R. Kurtz

Photovoltaic Degradation Risk

Dirk C. Jordan, Sarah R. Kurtz

Materials Science

Research output: Contribution to conference › Paper › peer-review

8 Scopus Citations

Abstract

The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Important cost drivers include the efficiency with which sunlight is converted into power, how this relationship changes over time, and the uncertainty in this prediction. An accurate quantification of power decline over time, also known as degradation rate, is essential to all stakeholders - utility companies, integrators, investors, and researchers alike. In this paper we use a statistical approach based on historical data to quantify degradation rates, discern trends and quantify risks related to measurement uncertainties, number of measurements and methodologies.

Original language	American English
Pages	865-871
Number of pages	7
State	Published - 2012
Event	World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference - Denver, CO, United States Duration: 13 May 2012 → 17 May 2012

Conference

Conference	World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Country/Territory	United States
City	Denver, CO
Period	13/05/12 → 17/05/12

Bibliographical note

See CP-5200-53712 for preprint

NREL Publication Number

NREL/CP-5200-57036

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@conference{69eae8f97b28469fbdf752c14b9262c5,

title = "Photovoltaic Degradation Risk",

abstract = "The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Important cost drivers include the efficiency with which sunlight is converted into power, how this relationship changes over time, and the uncertainty in this prediction. An accurate quantification of power decline over time, also known as degradation rate, is essential to all stakeholders - utility companies, integrators, investors, and researchers alike. In this paper we use a statistical approach based on historical data to quantify degradation rates, discern trends and quantify risks related to measurement uncertainties, number of measurements and methodologies.",

author = "Jordan, {Dirk C.} and Kurtz, {Sarah R.}",

note = "See CP-5200-53712 for preprint; World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference ; Conference date: 13-05-2012 Through 17-05-2012",

year = "2012",

language = "American English",

pages = "865--871",

}

TY - CONF

T1 - Photovoltaic Degradation Risk

AU - Jordan, Dirk C.

AU - Kurtz, Sarah R.

N1 - See CP-5200-53712 for preprint

PY - 2012

Y1 - 2012

N2 - The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Important cost drivers include the efficiency with which sunlight is converted into power, how this relationship changes over time, and the uncertainty in this prediction. An accurate quantification of power decline over time, also known as degradation rate, is essential to all stakeholders - utility companies, integrators, investors, and researchers alike. In this paper we use a statistical approach based on historical data to quantify degradation rates, discern trends and quantify risks related to measurement uncertainties, number of measurements and methodologies.

AB - The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Important cost drivers include the efficiency with which sunlight is converted into power, how this relationship changes over time, and the uncertainty in this prediction. An accurate quantification of power decline over time, also known as degradation rate, is essential to all stakeholders - utility companies, integrators, investors, and researchers alike. In this paper we use a statistical approach based on historical data to quantify degradation rates, discern trends and quantify risks related to measurement uncertainties, number of measurements and methodologies.

UR - http://www.scopus.com/inward/record.url?scp=84871575352&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84871575352

SP - 865

EP - 871

T2 - World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference

Y2 - 13 May 2012 through 17 May 2012

ER -

Photovoltaic Degradation Risk

Abstract

Conference

Bibliographical note

NREL Publication Number

UN SDGs

Other files and links

Fingerprint

Cite this