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Record W2323828070 · doi:10.5383/ijtee.03.02.001

Implementation of Solar Technologies in the Development of Rural, Remote and Sub urban Communities

2010· article· en· W2323828070 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental planningGeographyBusinessRemote sensing

Abstract

fetched live from OpenAlex

This case study describes a model household in which a number of simple solar technologies are utilized to provide for the daily household needs of electricity, clean water, cooling and heating. The model was named -Solar Home. A -Solar Home is primarily suited to rural, remote and sub urban low income communities that suffer from lack of access to grid electricity and clean quality water. However, with the increased demand on energy in urban communities connected to grid electricity, the -Solar Home can serve as a practical solution in the near future. The case study presents the results of the studies carried out on a pilot scale Solar Home project built in the Solar Energy Department, NRC, Egypt. The solar system designs used in the pilot Solar Home project are practical, easy to install and maintain, as well as inexpensive. The systems would serve two purposes; domestic services and some income generating activities. The case study discusses the performance of the selected solar systems under actual climatic conditions of Egypt, their costs. The case study will detail recommendations for the optimum implementation of the suggested systems and the needed training to use those systems. Finally the case study will list some of the lessons learned and the challenges faced during implementation and operation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.151

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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