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Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings' portfolio

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Aug 2015 Italy Publisher:IEEEJournal:2015 IEEE International Conference on Automation Science and Engineering (CASE)

Authors: Carli, Raffaele; Dotoli, Mariagrazia; Pellegrino, Roberta; Ranieri, Luigi;

doi: 10.1109/coase.2015.7294035

handle: 11589/150370 , 11587/421537

Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings' portfolio

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Abstract

The paper presents a multi-objective optimization algorithm to improve in an integrated and holistic way the building stock energy efficiency, sustainability, and comfort, while efficiently allocating the available budget to the buildings. The developed algorithm determines a set of optimal energy retrofit plans for a portfolio of public buildings in a smart city. An existing stock of public buildings located in the municipality of Bari, Italy is used as case study. The application results demonstrate that the developed algorithm is an effective support tool for the smart city governance in enhancing the energy efficiency performance of a stock of public buildings.

Country

Italy

Related Organizations

Keywords

Control and Systems Engineering; Electrical and Electronic Engineering

Impact byBIP!

	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).	30
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	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 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average