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Record W2323160379 · doi:10.3390/wsf3-d006

Exergy Storage in the Ground

2013· article· en· W2323160379 on OpenAlexaff
Ron Tolmie, Marc A. Rosen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsOntario Tech University
FundersStrong
KeywordsHeat pumpHybrid heatNuclear engineeringThermal energy storageAir source heat pumpsRenewable heatPassive coolingStorage heaterThermosiphonHeat spreaderCopper in heat exchangersDecay heatEnvironmental scienceHeat transferHeat sinkHeat exchangerMechanical engineeringPlate fin heat exchangerThermodynamicsPlate heat exchangerEngineeringPhysics

Abstract

fetched live from OpenAlex

There are many systems in use that store heat in the ground. Most store the heat at a low temperature so they require heat pumps to raise the delivery temperature to a useful value, but that consumes power. Some, like the storage systems used for storing solar heat operate at a temperature that is high enough to avoid the necessity of using heat pumps. The latter are storing both the heat and the exergy that would otherwise be required to drive the heat pumps. Concentric ring heat stores can operate with a hot core that eliminates the need for heat pumps for space heating and DHW, and they can also be designed so that they also provide for space cooling, again without using a heat pump for delivering the cooling. That can be accomplished by using a heat pump to extract heat from the outermost ring and transferring that heat to a central ring. In such a design the average temperature of the outer ring over the year is the same as the ambient ground temperature so there is no net heat flow into or from the surrounding ground, but in the summer that temperature will be low enough to provide the cooling and in the winter it will be elevated so the heat pump can deliver a higher temperature at its output. In such a system, the heat pump operates only when excess power capacity is available (it can be operated directly by the grid operator), enabling the grid to handle power excesses from nuclear stations or wind turbines, and it does not consume any power (except a small amount for circulating pumps) during the peak demand periods. Such systems can use the summer air as the energy source, or they can employ waste heat from AC systems, or they can use solar heat, or any combination of these sources. A variant can also use the cold winter air as the source for large buildings that primarily require cooling. Such systems can be designed to achieve net zero energy objectives for both large and small buildings and in individual cases can even achieve net zero electricity consumption. The air is effectively an unlimited energy source so such systems can be scaled up to handle any likely future demands for heating, cooling and DHW. The physical size of the heat stores (and the resulting depth and cost of the boreholes) is quite small because such stores are very energy efficient and the ground between the rings swings through a wide temperature range.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score1.000

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)0.0020.001

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 head0.013
GPT teacher head0.216
Teacher spread0.202 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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