Process for identifying patterns of electric energy effects of p

Details Process for identifying patterns of electric energy effects of p Process for identifying patterns of electric energy effects of p

1994-10-14

1996-10-15

Voeltz, Emanuel T.

Boots, shoes, and leggings

364493, 364505, 36446404, 395 77, 395925, G06F 1718, G06G 7122

Patent

active

055660843

ABSTRACT:
A process for identifying patterns of electric energy consumption and demand in a facility and determining possible changes in the facility for energy conservation, using monthly electric billing data over the years to ascertain billing periods and KW and Kwh consumption and to obtain from the ration Kwh/KW the hours use of peak demand per week, which provides a useful estimate of hours of use for the facility. Together with minimal facility data (just area data) and daily maximum and minimum outside temperature data, the process identifies patterns of consumption and demand, and then uses conveyance of an empirical analysis to disaggregate billing data into lighting, power, and HVAC end-use categories, and a statistical analysis, including regression, to separate the same billing data into usage and temperature-dependent components. Proposed retrofits for energy conservation are indicated and then implementable. Actual savings are calculated and used to further refine the model of actual facility operation.

REFERENCES:
Forsstroem T. et al., Abstract; titled: Linear Programming Energy and Environment Model for Space Heating, Finland, 1990.
Goyal, A. K. et al., Abstract, titled: Optimization of a hybrid solar forced-convection water heating system, 1987, UK, Energy Conversion and Management vol. 27, No. 4 pp. 367-377.
Akbari, Hashem et al, "An Algorithm to Disaggregate Commercial Whole-Building Hourly Electrical Load Into End Uses", Proceedings of the ACEEE 1988 Study of Environmental Efficiency in Building, vol. 10: 13-26 LBL 25185 (1988).

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