BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//What Works - ECPv6.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://whatworksclimate.solutions
X-WR-CALDESC:Events for What Works
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20240529T114122Z
CREATED:20240508T112542Z
LAST-MODIFIED:20240529T114122Z
UID:10000145-1718098200-1718103600@whatworksclimate.solutions
SUMMARY:Long-term Degradation Rate of Photovoltaic Modules: A Meta-analysis
DESCRIPTION:A critical factor in determining the ecological and economic benefits of photovoltaic investments is the projected lifespan of the installed photovoltaic modules. Therefore\, a well-founded estimate of the decline in power output over an extended period is essential in assessing whether an installation under a specific set of conditions can meet performance expectations. This power decline\, commonly referred to as degradation rate\, is dependent on multiple factors that result in a large heterogeneity of contingency factors determining the degradation rate. To derive the summarized effect of all reported degradation rates of outdoor exposed photovoltaic modules across the academic literature and explain the large differences observed\, we conducted a meta-regression analysis of 85 primary studies reporting 699 observations for the degradation rate. Using a wide set of moderator variables\, including geographical characteristics\, installation differences\, methodological differences\, and publication characteristics\, the analysis revealed a median degradation rate of 0.94 %/year\, with the cell technology\, mounting location\, and methodological differences being the main drivers of heterogeneity in reported degradation rate observations. Interestingly\, technological advances have not been found to systematically reduce reported degradation rates. Finally\, we use the meta-regression results to derive an implied degradation rate under best practice conditions and found the widely employed crystalline silicon modules degrade at rates of 0.39 % to 1.44 %/year. In contrast\, thin-film modules exhibit degradation rates twice as high at around 2 %/year. Consequently\, the empirical literature suggests a projected lifespan of 51 years under the most favorable conditions\, i.e.\, a well-ventilated installation of crystalline silicon modules mounted in cold climate conditions. The results of this study can guide future research as we summarize the status quo of the academic evidence on photovoltaic degradation. Moreover\, the aggregated degradations can serve as a benchmark for future photovoltaic investment decisions.
URL:https://whatworksclimate.solutions/presentation/mapping-and-synthesising-the-rigorous-evidence-base-of-sustainable-energy-in-lmics/
LOCATION:H 0107
END:VEVENT
END:VCALENDAR