2019
DOI: 10.1088/1748-9326/aaf935
|View full text |Cite
|
Sign up to set email alerts
|

Inter-annual variability of wind and solar electricity generation and capacity values in Texas

Abstract: As power systems shift towards increasing wind and solar electricity generation, inter-annual variability (IAV) of wind and solar resource and generation will pose increasing challenges to power system planning and operations. To help gauge these challenges to the power system, we quantify IAV of wind and solar resource and electricity generation across the Electric Reliability Council of Texas (ERCOT) power system, then assess the IAV of wind and solar electricity generation during peak-load hours (i.e. IAV o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
16
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
2
1

Relationship

1
9

Authors

Journals

citations
Cited by 24 publications
(16 citation statements)
references
References 42 publications
0
16
0
Order By: Relevance
“…Third, the above optimization models are based on 1-3 weather years, and it remains unclear whether these years include the worst Dunkelflaute periods as identified by the time series analyses based on multiple-decades-long datasets. While previous studies analyzed the inter-annual variability of renewables and implications for system planning in general (Pfenninger 2017, Collins et al 2018, Schlachtberger et al 2018, Zeyringer et al 2018, Kumler et al 2019, the implications for storage energy requirements in particular remain unclear. A notable exception is a study by Dowling et al (2020), which relates longterm storage requirements to the inter-annual variability of renewables but without analyzing the role of extreme events.…”
Section: Introductionmentioning
confidence: 99%
“…Third, the above optimization models are based on 1-3 weather years, and it remains unclear whether these years include the worst Dunkelflaute periods as identified by the time series analyses based on multiple-decades-long datasets. While previous studies analyzed the inter-annual variability of renewables and implications for system planning in general (Pfenninger 2017, Collins et al 2018, Schlachtberger et al 2018, Zeyringer et al 2018, Kumler et al 2019, the implications for storage energy requirements in particular remain unclear. A notable exception is a study by Dowling et al (2020), which relates longterm storage requirements to the inter-annual variability of renewables but without analyzing the role of extreme events.…”
Section: Introductionmentioning
confidence: 99%
“…To meet the societal need for information on the dependence of energy production and energy demand on weather and climate, an interdisciplinary scientific discipline is developing rapidly: 'energy meteorology'. The meteorological community has contributed with insights into the effects of interannual meteorological variability on energy production and demand (Klink 2002, Pryor et al 2006, Davy and Troccoli 2012, Haupt et al 2016, Kumler et al 2018, the influence of the North Atlantic Oscillation (Clark et al 2017, Thornton et al 2019. However, the relationship between meteorology, energy impacts, and critical events is complex and therefore needs tailored studies.…”
Section: Introductionmentioning
confidence: 99%
“…With the increasing adoption of PV generation in the United States and throughout the world, it will become more important to understand the resource behind this type of generation. Not understanding this resource, or assuming a typical meteorological year for multiple years, could have dire consequences and lead to instability in the grid due to over-or under-estimated annual electricity generation (Lopez et al 2017;Bryce et al 2018;Kumler et al 2018). The following sections illustrate the importance of considering the interannual variability of the solar resource and generation for 1-axis tracking and fixed-tilt setups.…”
Section: Supply Curve Resultsmentioning
confidence: 99%