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Record W3200167868 · doi:10.11575/prism/39256

Research Gaps In Life-Cycle Assessments Concerning Pumped Hydroelectric And Utility-Scale Battery Energy Storage Systems (Ess): Establishing A Unifying Approach To Ess Comparison

2021· article· en· W3200167868 on OpenAlexfundno aff
Travis Brookson

Bibliographic record

VenueOpen MIND · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsnot available
FundersMitacs
KeywordsHydroelectricityBattery (electricity)Energy storageScale (ratio)Environmental scienceLife-cycle assessmentReliability engineeringEngineeringComputer scienceOperations researchElectrical engineeringPower (physics)Production (economics)EconomicsGeographyPhysics

Abstract

fetched live from OpenAlex

Electrical grid decarbonization is one pathway to reduce global greenhouse gas (GHG) emissions as traditional thermal power generation is replaced by renewable energy. The intermittent nature of wind and solar power require energy storage to deliver excess energy during times of low power production. Both pumped hydroelectric storage and utility-scale battery storage are common solutions for different grid applications to maintain reliability, and each have their unique associated environmental impacts. In this report, life-cycle assessment (LCA) is used to examine the environmental impacts of the two energy storage systems. The limited number of relevant and available LCA studies lack a consistent approach and this report highlights some of the ambiguities and limitations that are barriers to proper comparison of the storage options. Finally, methods to increase the rigour of future energy storage LCAs, including keeping pace with the industry evolution, are recommended.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
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 score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.096
GPT teacher head0.377
Teacher spread0.281 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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