Published 2004 | Version v1
Miscellaneous

Energy operations and planning decision support for systems using weather forecast information

Creators

  • 1. SAIC Energy Solutions, Ottawa, ON (Canada)

Description

Hydroelectric utilities deal with uncertainties on a regular basis. These include uncertainties in weather, policy and markets. This presentation outlined regional studies to define uncertainty, sources of uncertainty and their affect on power managers, power marketers, power insurers and end users. Solutions to minimize uncertainties include better forecasting and better business processes to mobilize action. The main causes of uncertainty in energy operations and planning include uncaptured wind, precipitation and wind events. Load model errors also contribute to uncertainty in energy operations. This presentation presented the results of a 2002-2003 study conducted by the National Oceanic and Atmospheric Administration (NOAA) on the impact uncertainties in northeast energy weather forecasts. The study demonstrated the cost of seabreeze error on transmission and distribution. The impact of climate scale events were also presented along with energy demand implications. It was suggested that energy planners should incorporate climate change parameters into planning, and that models should include probability distribution forecasts and ensemble forecasting methods that incorporate microclimate estimates. It was also suggested that seabreeze, lake effect, fog, afternoon thunderstorms and frontal passage should be incorporated into forecasts. tabs., figs

Part of:
Proceedings of a workshop on dealing with uncertainties in the hydroelectric energy business. CD-ROM ed.

Additional details

Publishing Information

Publisher
CEA Technologies Inc.
Imprint Place
Montreal, PQ (Canada)
Imprint Title
Proceedings of a workshop on dealing with uncertainties in the hydroelectric energy business
Imprint Pagination
[500 p.]
Journal Page Range
p. 1-18

Conference

Title
Dealing with uncertainties in the hydroelectric energy business
Dates
5-6 Nov 2003
Place
Montreal, PQ (Canada)

INIS

Country of Publication
Canada
Country of Input or Organization
Canada
INIS RN
36021132
Subject category
S13: HYDRO ENERGY; S24: POWER TRANSMISSION AND DISTRIBUTION;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
ACCURACY; CLIMATE MODELS; ENERGY SUPPLIES; FORECASTING; HYDROELECTRIC POWER; MARKETERS; PLANNING; UNCERTAINTY PRINCIPLE; WEATHER
Descriptors DEC
ELECTRIC POWER; ENERGY SOURCES; MATHEMATICAL MODELS; POWER; RENEWABLE ENERGY SOURCES

Optional Information

Notes
Imprint:PDF file 5.Altalo_Presentation.pdf from session 2; Available on a single CD occupying 21.6 MB for viewing with Adobe Reader