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Record W1990555029 · doi:10.7492/ijaec.2013.002

Life Cycle Cost Analysis for Ground-Coupled Heat Pump Systems Including Several Types of Heat Exchangers

2013· article· en· W1990555029 on OpenAlexvenueno aff
Ngoc Bao Vu, Seung Rae Lee, Skhan Park, Seok Yoon, Gyu Hyun Go, Han Byul Kang

Bibliographic record

VenueInternational Journal of Architecture Engineering and Construction · 2013
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHeat pumpHeat exchangerEnvironmental scienceThermodynamicsProcess engineeringComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

Ground-Coupled Heat Pump (GCHP) systems are now popular in both residential and commercial applications because of their great advantages as compared to conventional electrical air conditioning systems. One of the most important problems in evaluating the GCHP systems is optimizing the Life Cycle Cost (LCC) of the systems. Yeung firstly proposed LCC optimization model to roughly estimate the LCC of GCHP systems with single U-type heat exchangers. However, in this optimization, only single U-type heat exchanger was considered. Moreover, the optimization did not take into account the eect of pipe sizes on the heat pump and neither considered the capacity of the heat pump. In this paper, a model of LCC optimization with new improvements was proposed to optimize the LCC of GCHP systems in consideration with the eect of pipe sizes and capacity of the heat pump for not only single U-type heat exchanger but also for double, triple U-type, and coil-type heat exchangers.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.217
Teacher spread0.209 · 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 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

Citations14
Published2013
Admission routes1
Has abstractyes

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