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Record W4289333791 · doi:10.18845/tm.v35i7.6334

Evaluación de la producción energética para el sistema fotovoltaico con microinversores instalado en el edificio de rectoría del Tecnológico de Costa Rica

2022· article· es· W4289333791 on OpenAlexaboutno aff
Luis Diego Murillo-Soto, Hugo Sánchez, Carlos Meza

Bibliographic record

VenueRevista Tecnología en Marcha · 2022
Typearticle
Languagees
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

La implementación de micro-inversores en sistemas fotovoltaicos presenta como ventaja el aprovechamiento de forma independiente la potencia en el punto de máxima potencia de cada uno los paneles fotovoltaicos, sin importar las condiciones de orientación, sombras y degradación que pueden presentar cada uno de ellos. Esto representa una ventaja significativa, ya que evita problemas de desequilibrio de potencia que se pueden presentar en una cadena de paneles. El presente artículo presenta un análisis de la producción energética para el sistema de micro-inversores instalados en el techo del edificio de rectoría del Tecnológico de Costa Rica. El sistema conectado a red cuenta con una potencia nominal en d.c. de 8.3 kWp, utilizando 31 paneles marca Canadian Solar modelo CS6P-270 conectados cada uno a un micro-inversor marca Enphase modelo M215. El sistema se encuentra en operación desde marzo en 2017 y en 46 meses de producción generó 48.892 MWh, para un desempeño promedio por inversor de 1.570 MWh. En esta evaluación, fue posible comprobar que los paneles solares ubicados hacia el Sur generaron 3.6% adicional total a los paneles ubicados hacia el norte, lo cual representa una generación adicional de 11.4 días por año respecto a los paneles orientados hacia el norte.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.309
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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