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Record W6990360817

Design and Analysis of a Solar Water Heating System With Thermal Storage for Residential Applications

2019· article· en· W6990360817 on OpenAlexfundno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2019
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMemorial University of Newfoundland
KeywordsNucleofectionFusible alloyGestational periodProteogenomicsDiafiltrationArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

This paper represents a design and analysis of a solar domestic hot water and space heating system with thermal storage for single-family house. To meet the energy demand of residential sector like a house, one of the best options is solar water heating system that can be integrated with space heating (SH) and domestic hot water (DHW). This type of systems performance and efficiency relies on proper design method, the actual size of the components, characteristics, and the behaviour of selected heat transfer fluid and the accurate analysis with the appropriate software. In this paper, a complete solar thermal based heating system is introduced that meets the overall energy demand of a house. The designed collector area 18 squared, storage tank 31 squared is chosen with the volume to area ratio 1.72. It is also noticeable that the percentage of solar coverage for space heating and hot water is 32 and 59 respectively with average collector efficiency 51 %. Moreover, the overall hot water and space heating coverage using the designed system are 100 % that makes the good agreement with the literature. Design, simulation results, and detailed analysis of this research are included in this paper.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.022
GPT teacher head0.230
Teacher spread0.208 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueMemorial University Research Repository (Memorial University)Same topicSolar Thermal and Photovoltaic SystemsFrench-language works237,207