Evidence map›Paper›PMID 41526395›Full record

ArticleScientific data2026

Projected hourly and regional energy demand for power heat and transport in New Zealand to 2050.

Rafaella Canessa, Juan Carlos Osorio-Aravena, Rebecca Peer, Hans Christian Gils, Manuel Wetzel, Ashish Gulagi, Christian Breyer, Jannik Haas

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rafaella CanessaSustainable Energy Research Group (SERG), Department of Civil and Environmental Engineering, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand. rca139@uclive.ac.nz.ORCID http://orcid.org/0009-0007-9330-9275
Juan Carlos Osorio-AravenaEnergy Center, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile.
Rebecca PeerSustainable Energy Research Group (SERG), Department of Civil and Environmental Engineering, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand.ORCID http://orcid.org/0000-0002-9951-2625
Hans Christian GilsGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563, Stuttgart, Germany.
Manuel WetzelGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563, Stuttgart, Germany.
Ashish GulagiLUT University, Yliopistonkatu 34, Lappeenranta, Finland.
Christian BreyerLUT University, Yliopistonkatu 34, Lappeenranta, Finland.
Jannik HaasSustainable Energy Research Group (SERG), Department of Civil and Environmental Engineering, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand. Jannik.haas@canterbury.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Projections of energy demand are an essential dataset for analysing transition pathways and long-term investment planning. In New Zealand, however, publicly available datasets remain limited in scope and transparency. Existing studies have focused on electricity, while heat and transport have been only partially addressed. This dataset provides projections of final energy demand for New Zealand to 2050, at five-year intervals. Demand is disaggregated by sector (heat, transport, power), energy carrier (e.g., electricity, gas, liquid fuels), and technology (e.g., vehicles, boilers, heat pumps), and resolved to regional and hourly levels. Five exploratory scenarios capture alternative pathways of electrification, substitution of fossil fuels with biofuels and e-fuels, and behavioural change through shifts in transport modes and the adoption of diverse heating technologies across residential, commercial, and industrial applications. Projections were generated using a hybrid top-down/bottom-up approach informed by official statistics, policy targets, demographic and technical indicators. The dataset is designed for integration into energy system modelling and infrastructure planning, and its structure can be adapted for use in other national contexts.

Identifiers

PMID41526395
PMCPMC12886998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.