Evidence map›Paper›PMID 36363936›Full record

ArticleMicromachines2022

Computer Simulations of Silicide-Tetrahedrite Thermoelectric Generators.

Rodrigo Coelho, Álvaro Casi, Miguel Araiz, David Astrain, Elsa Branco Lopes, Francisco P Brito, António P Gonçalves

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 57% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 2 countries.

Rodrigo CoelhoC2TN, DECN, Instituto Superior Técnico, Universidade de Lisboa, Campus Tecnológico e Nuclear, 2695-066 Bobadela, Portugal.ORCID 0000-0002-8353-538X
Álvaro CasiDepartment of Engineering, Institute of Smart Cities, Public University of Navarre, Campus de Arrosadia, s/n, 31006 Pamplona, Spain.
Miguel AraizDepartment of Engineering, Institute of Smart Cities, Public University of Navarre, Campus de Arrosadia, s/n, 31006 Pamplona, Spain.
David AstrainDepartment of Engineering, Institute of Smart Cities, Public University of Navarre, Campus de Arrosadia, s/n, 31006 Pamplona, Spain.ORCID 0000-0002-6987-0640
Elsa Branco LopesC2TN, DECN, Instituto Superior Técnico, Universidade de Lisboa, Campus Tecnológico e Nuclear, 2695-066 Bobadela, Portugal.ORCID 0000-0003-1855-7758
Francisco P BritoMEtRICs, DEM, Universidade do Minho, 4800-058 Guimaraes, Portugal.ORCID 0000-0002-0252-9413
António P GonçalvesC2TN, DECN, Instituto Superior Técnico, Universidade de Lisboa, Campus Tecnológico e Nuclear, 2695-066 Bobadela, Portugal.ORCID 0000-0003-2640-3038
Universidad Publica de Navarra · ESUniversity of Lisbon · PTUniversity of Minho · PT

Funding

Fundação para a Ciência e Tecnologia UI/BD/150713/2020Fundação para a Ciência e Tecnologia UID/Multi/04349/2020Spanish Ministry of Science, Innovation and Universities, and European Regional Development Fund PDI2021-126926OB-C22
6 · The paper itself

Abstract

With global warming and rising energy demands, it is important now than ever to transit to renewable energy systems. Thermoelectric (TE) devices can present a feasible alternative to generate clean energy from waste heat. However, to become attractive for large-scale applications, such devices must be cheap, efficient, and based on ecofriendly materials. In this study, the potential of novel silicide-tetrahedrite modules for energy generation was examined. Computer simulations based on the finite element method (FEM) and implicit finite difference method (IFDM) were performed. The developed computational models were validated against data measured on a customized system working with commercial TE devices. The models were capable of predicting the TEGs' behavior with low deviations (≤10%). IFDM was used to study the power produced by the silicide-tetrahedrite TEGs for different ΔT between the sinks, whereas FEM was used to study the temperature distributions across the testing system in detail. To complement these results, the influence of the electrical and thermal contact resistances was evaluated. High thermal resistances were found to affect the devices ΔT up to ~15%, whereas high electrical contact resistances reduced the power output of the silicide-tetrahedrite TEGs by more than ~85%.

Indexed as

computer simulationsfinite element methodimplicit differential methodmagnesium silicidessilicide-tetrahedrite modulestetrahedritesthermoelectric devices

Identifiers

PMID36363936
PMCPMC9698283
OpenAlexW4308325071

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.