Cited by 80Integrated Energy Systems OptimizationEnergy, Economy, and Technology TrendsEnergy, Environment, and Transportation Policies

Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050

Open access
Li, Xiang, Lepour, Dorsan, Heymann, Fabian, Maréchal, François·2023·Energy

Abstract

Energy transition is blurring the boundaries between the demand and supply sides with growing participation of prosumer resources. The intensifying pace of electrification and digitalization during the past decade tends to continue, leading to potential techno-economic-social challenges in energy strategy. However, it remains difficult to quantify their impacts on a national-level energy system, due to the trade-offs between increasing energy applications and decreasing energy consumption thanks to efficiency improvement. Using Switzerland as a case study, this work unveils the combined effects of (a) macro-economic drivers, (b) climate temperature rise, (c) system optimization, and (d) digitalization, on the end-use demand and final energy consumption in four major energy sectors, considering: industry, residence, mobility, and services. A systematic bottom-up and top-down approach was adopted, taking into account historical data by sector. The results show that: (1) the overall electricity consumption tends to increase by 20%–32%, while fuel consumption drops by 38%–95%, leading to (2) a total energy consumption reduction by 16%–59%, including the contribution from digitalization 10%–30%. (3) ICT (Information and Communication Technologies) is likely to become increasingly energy intensive, accounting for 25%–35% of electricity consumption, but can play an energy-supplying role through (4) data center heat recovery, promising to cut 15% national heating demand. Finally, the…

Integrity signals

Registry

Crossref · 10.1016/j.energy.2023.127992

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Li et al. projected that by 2050, nearly all energy sectors will be electrified, accelerating the transition toward renewable energy adoption.

    “The study projected that by 2050, nearly all energy sectors will be electrified, accelerating the transition toward renewable energy adoption.”
  • Li et al. found that digitalization could reduce energy consumption by 30%, primarily through system optimization and digital control mechanisms.

    “Their findings demonstrated that digitalization could reduce energy consumption by 30%, primarily through system optimization and digital control mechanisms.”
  • In industrial settings, such as thermal power plants, Digital Twins have demonstrated the ability to reduce fuel consumption by up to 10 percent.

    “In industrial settings, such as thermal power plants, Digital Twins have demonstrated the ability to reduce fuel consumption by up to 10 percent.”
  • Digital Twins contribute to infrastructure resilience by ensuring continuous monitoring and predictive maintenance, enhancing the stability and reliability of power grids.

    “Moreover, Digital Twins contribute to infrastructure resilience by ensuring continuous monitoring and predictive maintenance.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Li, X., Lepour, D., Heymann, F., & Maréchal, F.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • Swiss Federal Office of Energy (CH)
Corresponding author
Li, Xiang
Venue
Energy
Publisher
Elsevier BV
Published
2023-09
Volume
279
Pages
127992
ISSN
0360-5442 (ISSN-L)
OpenAlex
W4379468448
Cited by
80
References
4
Citations by year
2026: 16 · 2025: 36 · 2024: 23 · 2023: 5
FWCI
5.93
Type
journal article
Language
en
Open access
Locations
  • Energy (publishedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Funders
  • Innosuisse Swiss Innovation Agency
  • Bundesamt für Energie (SI/502039-01)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Economy, and Technology Trends
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
Keywords
electrification, digitalization, energy demand, final energy consumption, energy transition, ICT energy consumption, prosumers, energy system optimization, carbon neutrality, Switzerland

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review