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Record W3000019848 · doi:10.1007/s12517-019-5049-x

Biomass for renewable energy production in Pakistan: current state and prospects

2020· article· en· W3000019848 on OpenAlexaff
Muhammad Rizwan Yaseen, Farhat Abbas, Muhammad Bilal Shakoor, Aitazaz A. Farooque, Muhammad Rizwan

Bibliographic record

VenueArabian Journal of Geosciences · 2020
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsRenewable energyEnergy securityBiomass (ecology)Natural resource economicsSustainabilityBusinessFossil fuelContext (archaeology)Greenhouse gasEnvironmental impact of the energy industryBioenergyProduction (economics)Environmental economicsEnvironmental resource managementEnergy policyEnvironmental scienceEconomicsEcologyEngineeringWaste managementGeography

Abstract

fetched live from OpenAlex

Energy security and environmental problems are important factors behind the increasing biomass consumption around the world including the lower-income countries such as Pakistan. To utilize local biomass reserves more efficiently in the context of future energy demand, the possession of knowledge about recent energy system in different sectors of the country has become interestingly important. A few initiatives and technologies are currently under process in order to move towards renewable resources from non-renewable resources and minimizing dependency on fossil fuels and reducing greenhouse gas emissions. In recent past, some ideas have been developed for sustainable biofuel production which will make sure a rapid shift from an unsustainable attitude towards a potentially sustainable approach. Hence, in this review, detailed data about the potential of biomass for the production of renewable energy in Pakistan have been presented, keeping in view the recent energy mix and future perspectives. The feasibility of local/indigenous biomass reserves and important conversion methods to transform such biomass reserves to bioenergy has also been discussed. Here, we also highlighted the drivers for consumption of local/indigenous biomass reserves in future energy system along with the challenges related to energy systems among various stakeholders. Finally, the suggestions/recommendations on the government policies and future directions for successful implementation of the energy production from local/indigenous biomass resources have been given which could be sufficient to meet increasing energy demands of Pakistan.

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 categoriesnone
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 score0.582
Threshold uncertainty score0.191

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 head0.019
GPT teacher head0.246
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations28
Published2020
Admission routes1
Has abstractyes

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