TITLE:
Optimization of Thermal and Electrical Appliance Loads in Residential and Commercial Buildings with Demand Side Monitoring
AUTHORS:
Emmanuel O. B. Ogedengbe
KEYWORDS:
Optimization; Polynomial Regression; Electricity; Natural Gas; Energy Stocks; DSMonitorTM; Smart Grid
JOURNAL NAME:
Smart Grid and Renewable Energy,
Vol.4 No.7A,
October
4,
2013
ABSTRACT: Energy demand-supply mechanism with the load shape for both residential and commercial buildings in the Province of Ontario and Nigeria is studied with demand side monitoring of energy consumption. Thermal and electrical loads are characterized by certain predictor variables, including the consumers’ behavioural pattern, power ratings of energy appliances and weather conditions. The proposed bottom-up approach is capable of providing low-volume electricity and natural gas consumers, in a fully deregulated energy market, with competitive energy saving advantage, based on corrective monitoring of independent users’ demand loads. Special application of the bottom-up model-based facility characterization of demands for thermal comfort and indoor air qualityin a developing energy sector like Nigeria enables the development of planning tool for the proposed integration of renewable power systems. The developed DSMonitorTM app is capable of deploying an effective smart grid technology tool towards an improved building energy demand-supply balance at the individual end-user level.