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