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Record W2080349679 · doi:10.5539/eer.v3n2p139

Economic Value Approach to Intermittent Power Generation in the Nordic Power Markets

2013· article· en· W2080349679 on OpenAlex
Maria Kopsakangas-Savolainen, Rauli Svento

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnergy and Environment Research · 2013
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Energy Management
Canadian institutionsnot available
FundersEuropean Association of Environmental and Resource EconomistsYrjö Jahnssonin Säätiö
KeywordsDispatchable generationElectricity generationRenewable energyCost of electricity by sourceElectricityProduction (economics)Electricity marketEnvironmental economicsDemand responseEconomicsElectricity retailingWind powerFossil fuelValue (mathematics)MicroeconomicsNatural resource economicsPower (physics)Computer science

Abstract

fetched live from OpenAlex

The key elements in solving the increasing problems of power generation are to develop a sustainable and efficient production system and to utilize consumer management and demand response in a clearly stronger way than have been recently done. A significant part of the renewable energy (wind and solar) differs from most conventional (fossil fuel and nuclear) generating technologies such that they produce electricity intermittently and are not dispatchable. If traditional levelized cost approach is used it gives inappropriate and misleading results. In this paper we utilize a long-run oriented Real-Time Price based model to analyze the economic value of intermittent electricity generation in the Nordic power markets. Using this type of model it is possible to simultaneously take into account the increasing role of demand response and the specific characteristics of intermittent technology. We study the impacts of a change in production profile and increase in the share of intermittent generation to the market prices, equilibrium of other capacities, production costs, profits and CO2 emissions. Our approach which uses hourly output profiles and associated market value of electricity, gives plausible economic values for electricity.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.520

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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