MétaCan
Menu
Back to cohort
Record W2505600910 · doi:10.1109/pestse.2016.7516468

The effect of solar PV module price and capital cost on the levelized electricity cost of the solar PV power plant in the context of India

2016· article· en· W2505600910 on OpenAlexfundno aff
Tahira Bano, K. V. Rao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Energy Management
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsCost of electricity by sourceGrid parityPhotovoltaic systemCapital costRenewable energyContext (archaeology)Stand-alone power systemPower stationEnvironmental economicsElectricityElectricity generationEnvironmental scienceEngineeringElectrical engineeringPhotovoltaicsEconomicsDistributed generationPower (physics)PhysicsGeography

Abstract

fetched live from OpenAlex

In this paper the effect of reduction in the prices of module cost and hence capital cost on the Levelized Electricity Cost (LEC) of a typical 1 MW Solar Photovoltaic power plant has been studied as per the available data of Central Electricity Regulatory Commission. A theoretical study is also made on the effect of inflation rate & interest rate on LEC. As a case study, Levelized Electricity Cost (LEC) (Rs/kWh) has been calculated for 1 MW Tail End Grid interactive solar Photovoltaic power plant of Rajasthan Renewable Energy Corporation Limited (RRECL) commissioned in March 2012 in Phagi, Jaipur (Rajasthan), India. Operation and maintenance cost has been assumed as 1% of the capital cost as per experience of the plant Engineers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.179
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicSmart Grid Energy ManagementFrench-language works237,207