SBIR/STTR Research Award

URBAN HEAT ISLAND MODELING FOR SHORT-TERM ELECTRICAL LOAD FORECASTING

Award identifier 5b0064265f6686248ee77f508cec59c5e018d6429bb228281174d0a8791d0eedAwarding agency National Science Foundation

Award amount

$64,981

Program and phase

SBIR · Phase I

Award year

1994

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
MESOSCALE ENVIRONMENTAL SIMULATIONS AND OPERATIONS, INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
HG89KZVKNY19
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE FUNDAMENTAL OBJECTIVE OF THIS PROJECT IS TO IMPROVE THE SHORT-TERM ELECTRICAL LOAD FORECASTS REQUIRED FOR THE EFFICIENT OPERATION OF AN ELECTRIC UTILITY BY DEVELOPING A TECHNIQUE TO UTILIZE A HIGH RESOLUTION ATMOSPHERIC SIMULATION MODEL TO GENERATE INFORMATION ABOUT THE VARIATION OF METEOROLOGICAL CONDITIONS OVER AREAS WHICH USE A CONSIDERABLE AMOUNT OF ELECTRICAL ENERGY (I.E., URBAN AREAS). THE CURRENT ELECTRICAL LOAD FORECASTING TECHNIQUES UTILIZE VERY LOW RESOLUTION INFORMATION GENERATED BY SUBJECTIVE MODIFICATIONS OF OUTPUT FROM RELATIVELY COARSE RESOLUTION OPERATIONAL FORECAST MODELS. THE RESEARCH IS DESIGNED TO DETERMINE THE ABILITY OF A HIGH RESOLUTION ATMOSPHERICDYNAMICAL MODEL TO PROVIDE THE INFORMATION ABOUT THE VARIATION OF METEOROLOGICAL CONDITIONS OVER AN URBAN AREA THAT IS NECESSARY TO EXPLAIN A GREATER PORTION OF THE WEATHER-RELATED VARIANCE IN ELECTRICAL USAGE THAN CAN BE DONE BY CURRENT TECHNIQUES. THE CENTRAL HYPOTHESIS OF THE RESEARCH IS THAT THE VARIATIONS IN TEMPERATURE ASSOCIATED WITH THE URBAN HEAT ISLAND SHOULD HAVE A LARGE IMPACT ON ENERGY USE AND ELECTRICAL LOADS IN LARGE URBAN AREAS, WHICH IS UNACCOUNTED FOR BY CURRENT SHORT-TERM LOAD FORECASTING METHODS. A TECHNIQUE IS BEING DEVELOPED FOR SIMULATING URBAN AREAS AT HIGH SPATIAL RESOLUTION WHICH WILL BE ABLE TO OBJECTIVELY PREDICT THE DISTRIBUTION OF ATMOSPHERIC VARIABLES IN AN URBAN AREA, CORRECTLY DETERMINING THE MAGNITUDE OF URBAN EFFECTS, AND QUANTITATIVELY RELATING THEM TO ENERGY USE IN A WAY WHICH IS OPERATIONALLY USEFUL TO ELECTRIC UTILITIES.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

15 SBIR/STTR records share this UEI (1987–2013). Reported award amounts total $1,781,418. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration, Department of Agriculture, Department of Commerce

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.