CO2 Footprint of DC Solid State Transformer for Linear PV Power Plant

This paper presents a comparison of the carbon footprint of a DC SST designed for a linear PV application with MVDC collection network, and its counterpart for a traditional MVAC architecture. A method is proposed, allowing to calculate the CO2 footprint of the DC SST accounting for the manufacturing emissions of the PV modules. It is found that the energy efficiency of the conversion chain tends to be less and less significant to the overall carbon footprint as the energy mix shifts towards renewable energy sources. The manufacturing emissions of the conversion chain are thus to be reduced in the future. For PV power plants this can be achieved thanks to MVDC collection network.

Institutions

Publication Details

Published
2025-06-02
DOI
https://doi.org/10.34746/epe2025-0237
Primary Topic
Photovoltaic Systems and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CO2 Footprint of DC Solid State Transformer for Linear PV Power Plant

Photovoltaic Systems and Sustainability
article

CO2 Footprint of DC Solid State Transformer for Linear PV Power Plant

article en

Abstract

This paper presents a comparison of the carbon footprint of a DC SST designed for a linear PV application with MVDC collection network, and its counterpart for a traditional MVAC architecture. A method is proposed, allowing to calculate the CO2 footprint of the DC SST accounting for the manufacturing emissions of the PV modules. It is found that the energy efficiency of the conversion chain tends to be less and less significant to the overall carbon footprint as the energy mix shifts towards renewable energy sources. The manufacturing emissions of the conversion chain are thus to be reduced in the future. For PV power plants this can be achieved thanks to MVDC collection network.

Supergrid Institute (FR)
Affordable and clean energy
Openalex Percentile: Top 57%
Photovoltaic Systems and Sustainability
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.

CO2 Footprint of DC Solid State Transformer for Linear PV Power Plant · (2025) | TGRS Research Map | TGRS