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Record W2794590999 · doi:10.1049/pbpo130e_ch6

Solar–water desalination for small communities

2018· book-chapter· en· W2794590999 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.

Bibliographic record

VenueInstitution of Engineering and Technology eBooks · 2018
Typebook-chapter
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDesalinationGeothermal desalinationSolar desalinationSolar energyEnvironmental scienceWater desalinationEnvironmental engineeringLow-temperature thermal desalinationProcess engineeringEngineering

Abstract

fetched live from OpenAlex

The use of solar-water desalination is one of the most promising and environment friendly means to meet the ever-increasing demand of fresh water in freshwater-scarce communities. Unfortunately, desalination of water is a highly energy-intensive process. Nonetheless, direct solar-water desalination is simple in design, low in cost, and can easily support the daily use of communities. This chapter describes various types of solar-water desalination with a focus on technologies that are suitable for small communities and remote areas. Mathematical modeling of direct solar-water desalination based on convective, radiative, and evaporative heat transfer has been provided. A case study from Pasni, District Gwadar, Balochistan of Pakistan involving design, fabrication, and cost is included to give an overview of the practical operation of technology.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
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 science0.0000.000
Research integrity0.0010.000
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 head0.033
GPT teacher head0.240
Teacher spread0.207 · 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