Evidence map›Paper›PMID 40337492›Full record

ArticleJournal of the Royal Society of New Zealand2025

Scaling up solar and wind electricity: empirical modelling and a disruptive scenario for their deployments in Aotearoa New Zealand.

Isabella Pimentel Pincelli, Alan C Brent, James T Hinkley, Rupert Sutherland

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Isabella Pimentel PincelliSustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington, New Zealand.ORCID https://orcid.org/0000-0003-1027-7516
Alan C BrentSustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington, New Zealand.ORCID https://orcid.org/0000-0003-3769-4512
James T HinkleySustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington, New Zealand.ORCID https://orcid.org/0000-0002-4069-7362
Rupert SutherlandSchool of Geography Environment & Earth Sciences, Victoria University of Wellington, Wellington, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deployment of wind and solar electricity technologies is crucial for the energy transition, yet anticipated deployment rates differ widely often underestimating actual deployments. This issue is significant for countries like Aotearoa New Zealand, leading the way in major energy transitions. This study addresses two main issues: the historical underestimation of deployment rates and the need to synthesise various future scenarios to assess their potential impacts on the energy system. To address these problems, an empirical modelling approach based on logistic growth is adopted to create and analyse scenarios for the deployment of solar and wind technologies in New Zealand. We propose two scenarios: a reference growth scenario, which represents prevailing estimations for the deployment of solar and wind from previous forecasts; and a disruptive scenario, which anticipates a more rapid deployment pace. Both scenarios envision phasing out fossil fuels by 2030 but differ in the remaining electricity supply. In the disruptive scenario, the installed electricity generation broadens, in which solar and wind generation could represent 72% of the electricity generation capacity by 2050. Our findings emphasise the transformative potential of rapid wind and solar technologies deployment and highlight the importance of preparing for a disruptive future that challenges conventional expectations.

Indexed as

electricity scenarioEnergy transitionlogistic growthphotovoltaicwind power

Identifiers

PMID40337492
PMCPMC12054581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.