Value of Geographic Diversity of Wind and Solar: Stochastic Geometry Approach; Preprint

Victor Diakov

Value of Geographic Diversity of Wind and Solar: Stochastic Geometry Approach; Preprint

Victor Diakov

Strategic Energy Analysis Center

Research output: Contribution to conference › Paper

Abstract

Based on the available geographically dispersed data for the continental U.S. (excluding Alaska), we analyze to what extent the geographic diversity of these resources can offset their variability. A geometric model provides a convenient measure for resource variability, shows the synergy between wind and solar resources.

Original language	American English
Number of pages	8
State	Published - 2012
Event	2012 World Renewable Energy Forum - Denver, Colorado Duration: 13 May 2012 → 17 May 2012

Conference

Conference	2012 World Renewable Energy Forum
City	Denver, Colorado
Period	13/05/12 → 17/05/12

NLR Publication Number

NREL/CP-6A20-54707

Keywords

load matching
renewable energy variability
solar energy
wind energy

Access to Document

https://www.nrel.gov/docs/fy12osti/54707.pdf

Cite this

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title = "Value of Geographic Diversity of Wind and Solar: Stochastic Geometry Approach; Preprint",

abstract = "Based on the available geographically dispersed data for the continental U.S. (excluding Alaska), we analyze to what extent the geographic diversity of these resources can offset their variability. A geometric model provides a convenient measure for resource variability, shows the synergy between wind and solar resources.",

keywords = "load matching, renewable energy variability, solar energy, wind energy",

author = "Victor Diakov",

year = "2012",

language = "American English",

note = "2012 World Renewable Energy Forum ; Conference date: 13-05-2012 Through 17-05-2012",

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TY - CONF

T1 - Value of Geographic Diversity of Wind and Solar: Stochastic Geometry Approach; Preprint

AU - Diakov, Victor

PY - 2012

Y1 - 2012

N2 - Based on the available geographically dispersed data for the continental U.S. (excluding Alaska), we analyze to what extent the geographic diversity of these resources can offset their variability. A geometric model provides a convenient measure for resource variability, shows the synergy between wind and solar resources.

AB - Based on the available geographically dispersed data for the continental U.S. (excluding Alaska), we analyze to what extent the geographic diversity of these resources can offset their variability. A geometric model provides a convenient measure for resource variability, shows the synergy between wind and solar resources.

KW - load matching

KW - renewable energy variability

KW - solar energy

KW - wind energy

M3 - Paper

T2 - 2012 World Renewable Energy Forum

Y2 - 13 May 2012 through 17 May 2012

ER -

Value of Geographic Diversity of Wind and Solar: Stochastic Geometry Approach; Preprint

Abstract

Conference

NLR Publication Number

Keywords

Access to Document

Fingerprint

Cite this