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Integration of renewable energy in microgrids coordinated with demand response resources: Economic evaluation of a biomass gasification plant by Homer Simulator

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Nov 2014Publisher:Elsevier BVJournal:Applied Energy, volume 132, pages 15-22 (issn: 0306-2619,

Authors: Manuel Alcázar-Ortega; Alex Domijan; Carlos Álvarez-Bel; Lina Montuori;

doi: 10.1016/j.apenergy.2014.06.075

Integration of renewable energy in microgrids coordinated with demand response resources: Economic evaluation of a biomass gasification plant by Homer Simulator

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Abstract

This paper deals with how demand response can contribute to the better integration of renewable energy resources such as wind power, solar, small hydro, biomass and CHP. In particular, an economic evaluation performed by means of the micro-power optimization model HOMER Energy has been done, considering a micro-grid supplied by a biomass gasification power plant, operating isolated to the grid and in comparison with other generation technologies. Different scenarios have been simulated considering variations in the power production of the gasified biomass generator and different solutions to guarantee the balance generation/consumption are analyzed, demonstrating as using demand response resources is much more profitable than producing this energy by other conventional technologies by using fossil fuels.

Related Organizations

State University of New York at Potsdam
United States
University of Chicago
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State University of New York at Potsdam
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Universitat Politècnica de València
Spain

Keywords

Demand response, Hybrid system, Renewable resources, Stand-alone system, INGENIERIA ELECTRICA, Biomass, Microgrids

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	133
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%