Impact of AC vs DC Distribution on System Efficiency in a Nanogrid Office - Université de La Réunion Access content directly
Conference Papers Year : 2023

Impact of AC vs DC Distribution on System Efficiency in a Nanogrid Office

Olivia Graillet
Frédéric Alicalapa
Pierre-Olivier Lucas de Peslouan
Jean-Pierre Chabriat

Abstract

Reunion Island is a French overseas department located in the southwestern part of the Indian Ocean. Due to its geographical location, it needs to develop local sources of energy production, such as solar energy, to achieve energy autonomy. By reducing energy conversion steps, LVDC (Low-Voltage Direct C urrent) nanogrids can contribute to this objective by reducing the energy consumption of buildings and optimizing electrical installations. This paper proposes a hybrid nanogrid architecture currently deployed in an office building in Réunion island. The hybrid nanogrid includes a PV power plant, a LiFePO4 battery, a LVDC distribution (48VDC loads such as lighting and fans) and an Alternating Current (AC) distribution for experimentation. To evaluate the overall nanogrid efficiency and optimize its lifetime, a method to measure the global efficiency of the system in AC or DC distribution for an identical final load and section cable is presented. Results have shown a total efficiency gain of 18% in DC compared to AC distribution, for certain conditions described in the paper. Voltage drop and battery capacity during discharge have also been measured to complete the results.
Fichier principal
Vignette du fichier
2023156689_2023TENSYMP_ImpactOfACvsDCdistributionSystemEfficiency_final.pdf (1.38 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04483116 , version 1 (29-02-2024)

Identifiers

Cite

Olivia Graillet, Frédéric Alicalapa, Denis Genon-Catalot, Pierre-Olivier Lucas de Peslouan, Laurent Lemaitre, et al.. Impact of AC vs DC Distribution on System Efficiency in a Nanogrid Office. 2023 IEEE Region 10 Symposium (TENSYMP), Sep 2023, Canberra, Australia. pp.1-5, ⟨10.1109/TENSYMP55890.2023.10223664⟩. ⟨hal-04483116⟩
45 View
6 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More