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Record W1994264636 · doi:10.1260/0958-305x.24.5.749

Determination of Optimal Cost Electrical Charge Storage System in off — Grid Solar Illumination Systems

2013· article· en· W1994264636 on OpenAlexaff
Anand M. Sharan

Bibliographic record

VenueEnergy & Environment · 2013
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsVoltElectrificationElectricityElectrical engineeringEnergy storageVoltageAutomotive engineeringBattery (electricity)LED lampElectric lightDiodeKeroseneEngineeringPower (physics)

Abstract

fetched live from OpenAlex

In this paper, a unit is developed for lighting homes and workplaces in many parts of the world where the electricity supply is not through grids. This unit consumes minimal energy and is available at an optimal cost. This minimal consumption system uses newly developed white light or Light Emitting Diodes (LEDs). These types of diodes have p- n junction and the voltage drop across the junction is around 3 Volts. So the batteries used in such illumination devices also have approximately 3 Volts. The utility of such devices (LED based) has increased in recent times because these are replacing kerosene lanterns in many countries around the world. The governments in such countries are reducing or eliminating the subsidies on kerosene, diesel etc (fossil fuels) due to a continued high price of crude oil. The challenge with the 3 Volt batteries is that their ratio of cost / total charge holding capacity is very high. They also pose problems with their disposal and repair. Moreover, many of these batteries are reported to explode while being charged. The present research work then replaces 3 Volt batteries with 12 Volt batteries which are commonly used and the ratio mentioned above - is low or minimal.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.557
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
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.192
Teacher spread0.186 · 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; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
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
Published2013
Admission routes1
Has abstractyes

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