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Record W3061495868 · doi:10.1080/17508975.2020.1802694

Smart energy harvesting performance of photovoltaic roof assemblies in Canadian climate

2020· article· en· W3061495868 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIntelligent Buildings International · 2020
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsNational Research Council Canada
FundersNatural Resources CanadaNational Research Council CanadaClean Energy Institute
KeywordsPhotovoltaic systemRoofArchitectural engineeringEnergy performanceEnvironmental scienceEnergy harvestingEngineeringEfficient energy useEnergy (signal processing)Civil engineeringEngineering physicsElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

In Canada, the solar electricity sector is growing rapidly. Much of this success is based on the growth of the Ontario solar market where more than 99% of Canada’s solar electricity is generated. Ontario has developed a globally recognized solar market sector. The vast surface area of existing residential roofs across Canada represents an untapped resource for capitalizing on passive and active management of impinging solar insolation. The aim of the current research study is to evaluate the new energy harvesting technologies such as a thin-film PV integrated roof system that could serve as a conventional roofing for weather protection while generating clean solar electricity, and the new generation micro inverters that have the potential to outperform string inverters under shading and snow-cover conditions. This paper has two parts that will discuss about two smart energy harvesting technologies and their performance on residential applications in Canadian climate. Part 1 of the paper focusses on field evaluation of Roof Integrated Photovoltaic (RIPV) and Part 2 talks about the energy yield performance of integrated solar tiles and new generation micro inverters. The RIPV field trial took place at the Canadian Centre for Housing Technology (CCHT) Info Centre in Ottawa, Canada. This is a novel approach adapted from a roofing system that would typically be found on low-sloped roofs such as commercial supermarkets, industrial warehouses and school buildings. Over the eight month study period, surmounting the effects of snow cover and shadows, the RIPV system generated over 1 MWh of electricity, and had a measured system efficiency of 5.3%. The study on the new generation micro inverters for residential applications addressed the shading effects on the intermittent nature of solar energy generation. Simulating the shading conditions that are experienced by typical residential rooftop, the micro inverters were found to increase production by 1–68% relative to the conventional string inverters. The research outcome of this study has demonstrated that both these energy harvesting technologies have important incremental benefits in increasing the renewables contribution to power generation in residential homes in Canadian climatic conditions.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.250
Teacher spread0.228 · 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