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Multi-criteria Methodology for the Sustainable Powering of an Industrial DC Microgrid Cluster

Tavagnutti, Andrea Alessia
•
Olivo, Federico
•
Bosich, Daniele
•
Sulligoi, Giorgio
2024
  • conference object

Abstract
In the most developed economies, the industrial growth cannot be promoted while ignoring the effect on climate change. Therefore, industrial clusters are to be coupled with renewable energy plants in order to minimize the CO2 production. To pursue the sustainability in industries, the most effective approach foresees the widespread installation of photovoltaic modules within the industry boundary. By hypothesizing the presence of a DC microgrid to collect sources-loads, the paper wants to explore a multi-criteria methodology to identify the most convenient renewable plant. Different alternatives are compared by adopting battery energy storage on one hand, by optimizing the PV size on the other. The best solution is declared by intersecting different domains, therefore economic, energetic and environmental outcomes.
DOI
10.1109/speedam61530.2024.10609177
WOS
WOS:001295095900051
Archivio
https://hdl.handle.net/11368/3092778
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85201734623
https://ieeexplore.ieee.org/document/10609177
Diritti
closed access
license:copyright editore
license uri:iris.pri02
FVG url
https://arts.units.it/request-item?handle=11368/3092778
Soggetti
  • DC microgrid

  • PV

  • storage

  • multi-criteria

  • optimization

  • industrial cluster

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