Climate warming effects on hydropower demand and pricing in California
Guégan, Marion ; Madani, Kaveh LU and Uvo, Cintia B. LU
(2011)
World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability
p.1298-1307
- Abstract
High-elevation hydropower units in California might be sensitive to climate warming since they have been designed to take advantage of snowmelt and have low built-in storage capacities. Snowmelt is expected to shift to earlier in the year and the system might not be able to store sufficient water for release in high-electricity-demanding periods. Previous studies have tried to explore the climate warming effects on California's high-elevation hydropower system by focusing on the supply side only (exploring the effects of hydrological changes on generation and revenues). This study extends the previous work by also considering climate warming effects on hydropower demand and pricing. A long-term price forecasting tool is developed using... (More)
High-elevation hydropower units in California might be sensitive to climate warming since they have been designed to take advantage of snowmelt and have low built-in storage capacities. Snowmelt is expected to shift to earlier in the year and the system might not be able to store sufficient water for release in high-electricity-demanding periods. Previous studies have tried to explore the climate warming effects on California's high-elevation hydropower system by focusing on the supply side only (exploring the effects of hydrological changes on generation and revenues). This study extends the previous work by also considering climate warming effects on hydropower demand and pricing. A long-term price forecasting tool is developed using Artificial Neural Network (ANN) models. California's Energy-Based Hydropower Optimization Model (EBHOM) is then applied to estimate the adaptability of California's high-elevation hydropower system to climate warming considering simultaneous changes in supply, demand and pricing. The model is run for dry and wet warming scenarios, representing a range of hydrological changes under climate change.
(Less)
- author
- Guégan, Marion
; Madani, Kaveh
LU
and Uvo, Cintia B.
LU
- organization
- publishing date
- 2011-07-21
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- California, Climate change, Hydro power, Pricing
- host publication
- World Environmental and Water Resources Congress 2011 : Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress - Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress
- pages
- 10 pages
- conference name
- World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability
- conference location
- Palm Springs, CA, United States
- conference dates
- 2011-05-22 - 2011-05-26
- external identifiers
-
- scopus:79960432513
- ISBN
- 9780784411735
- DOI
- 10.1061/41173(414)135
- language
- English
- LU publication?
- yes
- id
- c9a7f8a6-bc5f-4d89-8829-c0b36e75c70b
- date added to LUP
- 2018-10-23 10:37:00
- date last changed
- 2022-01-31 06:24:56
@inproceedings{c9a7f8a6-bc5f-4d89-8829-c0b36e75c70b,
abstract = {{<p>High-elevation hydropower units in California might be sensitive to climate warming since they have been designed to take advantage of snowmelt and have low built-in storage capacities. Snowmelt is expected to shift to earlier in the year and the system might not be able to store sufficient water for release in high-electricity-demanding periods. Previous studies have tried to explore the climate warming effects on California's high-elevation hydropower system by focusing on the supply side only (exploring the effects of hydrological changes on generation and revenues). This study extends the previous work by also considering climate warming effects on hydropower demand and pricing. A long-term price forecasting tool is developed using Artificial Neural Network (ANN) models. California's Energy-Based Hydropower Optimization Model (EBHOM) is then applied to estimate the adaptability of California's high-elevation hydropower system to climate warming considering simultaneous changes in supply, demand and pricing. The model is run for dry and wet warming scenarios, representing a range of hydrological changes under climate change.</p>}},
author = {{Guégan, Marion and Madani, Kaveh and Uvo, Cintia B.}},
booktitle = {{World Environmental and Water Resources Congress 2011 : Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress}},
isbn = {{9780784411735}},
keywords = {{California; Climate change; Hydro power; Pricing}},
language = {{eng}},
month = {{07}},
pages = {{1298--1307}},
title = {{Climate warming effects on hydropower demand and pricing in California}},
url = {{http://dx.doi.org/10.1061/41173(414)135}},
doi = {{10.1061/41173(414)135}},
year = {{2011}},
}