Multi-Objective and Multi-Criteria Optimization of Microgrids for Nearly Zero-Energy Buildings

Emilio Ghiani
Writing - Original Draft Preparation
;
Fabrizio Pilo
Member of the Collaboration Group
2019-01-01

Abstract

Nearly zero-energy buildings (NZEBs) are high energy performance buildings in which part of the amount of energy that these buildings require comes mostly from renewable sources. In order to obtain the target of nearly zero energy consumption, the electrical loads and the energy sources related to the NZEB building can be organized as a Microgrid, which needs to be optimally sized in his components. The optimal sizing of a Microgrid for NZEBs can be formulated as multi-objective problem. In fact, for the NZEB owner exists an economic target aimed at maximizing profits from microgeneration, a different one aimed solely to minimize the energy bought from the market and an environmental target aimed at minimizing the global CO2 emissions. These objectives can enter into conflict and create the need for combined optimization. In this paper, this optimization problem is investigated with an integrated framework addressing the multi-objective optimization and multi-criteria evaluation issues simultaneously. Minimize the investment cost, maximize the fraction of energy self-consumed with renewable energy sources and reduce the CO2 emissions will be considered as three objectives for multi-objective optimization. The proposed methodology is applied to a microgrid for a NZEB public building. The simulation results show the effectiveness of the proposed methodology.
2019
Inglese
IEEE Second International Conference on Smart Energy Systems and Technologies – SEST 2019
9781728111568
Institute of Electrical and Electronics Engineers Inc.
STATI UNITI D'AMERICA
6
2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
Contributo
Esperti anonimi
9-11 September 2019
Porto (Portugal)
internazionale
scientifica
Microgrid; Multiobjective Evolutionary Algorithm; NZEBs; Real-time pricing; Renewable sources;
Microgrid, NZEBs, Renewable sources, Multiobjective Evolutionary Algorithm, Real-time pricing
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Simone, Galisai; Ghiani, Emilio; Pilo, FABRIZIO GIULIO LUCA
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
Files in This Item:
File Size Format  
SEST2019_67.pdf

Solo gestori archivio

Type: versione editoriale
Size 767.6 kB
Format Adobe PDF
767.6 kB Adobe PDF & nbsp; View / Open   Request a copy

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie