Energy Management System for the CN MOST Laboratory at the Savona University Campus

This paper proposes a mixed-integer linear programming model for the energy management system of the new research laboratory that will be installed in the Savona Campus of the University of Genova, benefitting from the fundings of the Italian National Center for Sustainable Mobility. This energy management system is able to daily manage the nanogrid feeding the laboratory which will be equipped with a photovoltaic plant and a battery energy storage system, and will have to feed electric loads of the laboratory and a set of autonomous mobile robots used to execute different delivery tasks within the campus. The proposed energy management system optimizes power flows and robot task scheduling in order to minimize the operating costs, the curtailment of the photovoltaic source and the number of unperformed tasks. The application of the proposed mathematical formulation to the real case of the Savona Campus is presented and discussed in the paper.

Authors

Institutions

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/rtsi61910.2024.10761218
Citations
3
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
1.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy Management System for the CN MOST Laboratory at the Savona University Campus

Silvia Siri, Stefano Bracco, Matteo Fresia, Tommaso Robbiano
3 citations
Particle Detector Development and Performance
1.98
article

Energy Management System for the CN MOST Laboratory at the Savona University Campus

Silvia Siri, Stefano Bracco, Matteo Fresia, Tommaso Robbiano
article en
3 citations

Abstract

This paper proposes a mixed-integer linear programming model for the energy management system of the new research laboratory that will be installed in the Savona Campus of the University of Genova, benefitting from the fundings of the Italian National Center for Sustainable Mobility. This energy management system is able to daily manage the nanogrid feeding the laboratory which will be equipped with a photovoltaic plant and a battery energy storage system, and will have to feed electric loads of the laboratory and a set of autonomous mobile robots used to execute different delivery tasks within the campus. The proposed energy management system optimizes power flows and robot task scheduling in order to minimize the operating costs, the curtailment of the photovoltaic source and the number of unperformed tasks. The application of the proposed mathematical formulation to the real case of the Savona Campus is presented and discussed in the paper.

University of Genoa (IT)
Affordable and clean energy
Openalex Percentile: Top 8%
Particle Detector Development and Performance
1.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.