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IMPACTS OF GHG PROGRAMS AND MARKETS ON THE POWER INDUSTRY

2009· article· en· W4211189616 on OpenAlexvenueno aff

Bibliographic record

VenueInternational Journal of Power and Energy Systems · 2009
Typearticle
Languageen
FieldEnergy
TopicRenewable energy and sustainable power systems
Canadian institutionsnot available
Fundersnot available
KeywordsElectric power industryBusinessIndustrial organizationGreenhouse gasNatural resource economicsCommerceEconomicsEngineeringElectricityElectrical engineering

Abstract

fetched live from OpenAlex

This Chapter provides an overview of the global responses to Climate Change (CC) and of the established and emerging GHG Markets and Programs arising from this.The impacts on the electrical power industry and how it is taking advantage of these programs and markets and adapting to CC is discussed.This includes the impacts on policy, strategy and decisionmaking in major players such as governments, manufacturers, utilities, contractors and consultants and how they are leading by example within their own operations.. International Response To Climate Change: An OverviewAccess to modern forms of energy is fundamental to development and the eradication of poverty in the developing world, but energy is also responsible for much of the Greenhouse Gas (GHG) emissions that threaten stability of the climate system.Therefore the goal of GHG reduction efforts is not to deny people access to energy, but to reduce the carbon intensity of development and to moderate and stabilize the concentrations of GHGs in the 15 www.intechopen.comElectricity Infrastructures in the Global Marketplace 566 atmosphere through a less carbon intensive energy supply, increased efficiency of energy use, improved carbon sinks and the capture and storage of carbon emissions at source.As different approaches to achieve this goal are carefully evaluated and international negotiations continue, most countries have implemented programs that promote research, tracking and reporting on carbon emissions, voluntary mitigation and adaptation measures, energy efficiency and renewable energy technologies.However, with the exception of a handful of European countries that have implemented some form of carbon/energy tax, governments have not banned or placed restrictions on fossil fuels or CO 2 emissions.Efforts to reduce carbon-intensity of energy supply generally focus on increasing the efficiency of power plants and promoting low-carbon fuels and renewable energy (wind, solar, hydro, geothermal, etc.).Efforts to reduce energy use typically promote energy efficiency and conservation in the industrial, commercial, transport and residential sectors.Efforts to encourage improved management of agricultural and forest lands and the protection of forests tend to enhance the Earth's natural capacity to assimilate carbon and mitigate the impact of CO 2 emissions.Efforts to capture and store carbon emissions at source are focusing on coal fired power plants -so-called clean coal technology.An overview of international efforts to reduce the impact of GHG emissions through mitigation and climate adaptation programs is now presented [15.2.1 to 15.2.8].www.intechopen.com

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.008
GPT teacher head0.237
Teacher spread0.228 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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