Abstract

The current energy transition involves the integration of cleaner and more efficient technologies. Energy demand in the buildings sector accounts for 40% of global energy consumption. For this reason, an adequate management of the energy supply in tertiary buildings is necessary. The present study implements an optimization algorithm of an economic objective function based on MICDP that integrates different profiles of renewable sources and clean technologies grouped in a decentralized generation mix in a building. As a result, the sizing of the different sources in terms of power to be installed and the optimal energy supply of each source are obtained.

Presenters

Jose Martin Salcedo
Professor, Science and Engineering, Universidad Estatal de Milagro, Guayas, Ecuador

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

Digital Sustainability: Sustainable Digitalization, Smart Communities, Smart Mobility, Green Technologies, Electronic Waste

KEYWORDS

NZEB, Mixed-Integer Disciplined Convex Programming, Decentralized Generation

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