DocumentCode :
157659
Title :
Economic generation mix for commercial building
Author :
Nayak, Ashwini Kumar ; Sarangi, Parthasarathi ; Santra, Rohit ; Kotini, Anil Kumar
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Sci. & Technol., Berhampur, India
fYear :
2014
fDate :
10-12 May 2014
Firstpage :
249
Lastpage :
253
Abstract :
The growing population has added a burden to the existing power generation station. So what if the demand by the people exceeds the generation capability. The consequence is power deficiency. The world has to remain in dark weighing down the economy of the country. The alternative solution for this is generation mix. Now a day´s commercial building is increasing at a greater pace. So in addition to generation mix we are thinking of making it economic. Economic is in the sense of reducing the grid dependency of a commercial building. Through this the cost incurred by a commercial building can be minimized to a greater extent, which can be utilized for some additional utilities. Generation mix includes the ultimate energy coming from sun, wind, tidal, geo-thermal, bio-gas, bio-mass. In this paper, aims at encouraging the use of renewable energy sources such as Wind and Solar, available with the commercial building along with grid connection. A case study of National Institute of Science & Technology (NIST), Berhampur, Odisha, has been considered to validate the efficacy of the proposed methodology and the result is estimated mathematically and verified through the renewable Simulink Software Homer V 2.81 incorporating present load and forecasted load for 4 years of planning horizon.
Keywords :
buildings (structures); load forecasting; power generation planning; solar power; wind power; Simulink Software Homer V 2.81; commercial building; economic generation mix; forecasted load; grid connection; grid dependency; power deficiency; power generation station; renewable energy sources; solar energy; wind energy; Buildings; Computational modeling; Economics; Load modeling; Mathematical model; Power generation; Renewable energy sources; distributed energy; generation mix; load demand; load forecasting; tariff;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2014 14th International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-1-4799-4661-7
Type :
conf
DOI :
10.1109/EEEIC.2014.6835873
Filename :
6835873
Link To Document :
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