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GEOTHERMAL POWER GENERATION: GLOBAL PERSPECTIVES; U.S.A. AND ICELAND; TECHNOLOGY, DIRECT USES, PLANTS, AND DRILLING

2007· article· en· W2030461819 on OpenAlexvenueno aff
T.J. Hammons

Bibliographic record

VenueInternational Journal of Power and Energy Systems · 2007
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeothermal energyGeothermal gradientGeothermal powerRenewable energyElectricity generationElectricityEnvironmental scienceGeothermal desalinationEngineeringGeologyPower (physics)Electrical engineeringGeophysics

Abstract

fetched live from OpenAlex

This paper discusses the state of the art in harnessing geothermal power for medium- and large-scale generation of electricity and for space heating worldwide. It reviews current, probable, possible, and potential developments in both developed and developing countries in the near future and long term. The author first reviews world energy consumption and then discusses relative contribution of energy sources in the world in OECD countries, summarizes installed geothermal capacities for electricity generation, and examines direct use of geothermal energy worldwide together with the technical potential of renewable energy sources. The central part of the article examines geothermal energy in the United States, highlighting heat flow, tectonic controls, types of geothermal systems, United States geothermal potential, geothermal energy in the United States, operating conditions for electricity generation, and environmental constraints. Then the author considers Iceland's primary power consumption, production of electricity in Iceland, low-temperature geothermal resources, and high-temperature geothermal resources. The paper then examines the Geothermal Technologies Programme in the United States, reviewing the goals of geo-science and supporting technologies, exploration and drilling research, and energy systems research and testing; enhanced geothermal systems, and direct use of geothermal energy, considering district heating, agriculture, and aquaculture applications and future developments. Finally, improving geothermal power plants is discussed and typical R&D projects are reviewed. Highlighted are such research and development projects as enhanced heat transfer in air-cooled condensers, materials research, instruments for real time monitoring of geothermal processes, plant optimization, removal of noncondensable gases from binary power plants, and silica and metals extraction. The article also discusses geothermal drilling R&D aimed at reducing drilling costs by 25∼50%.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.008
GPT teacher head0.268
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2007
Admission routes1
Has abstractyes

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