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Record W4405551599 · doi:10.25744/genb.2023.62.4.018

АНАЛИЗ ПЕРСПЕКТИВЫ ВНЕДРЕНИЯ ТЕПЛОВОЙ НАСОСНОЙ УСТАНОВКИ В СИСТЕМУ ТЕПЛОСНАБЖЕНИЯ В УСЛОВИЯХ РЕСПУБЛИКИ САХА (ЯКУТИЯ)

2024· article· ru· W4405551599 on OpenAlexaboutno aff
В.Г. Реев, U. D. S. Gunasekara

Bibliographic record

VenueГрозненский естественнонаучный бюллетень · 2024
Typearticle
Languageru
FieldEngineering
TopicIndustrial Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsFreonEnvironmental scienceCondenser (optics)ElectricityCoefficient of performanceHeat exchangerArcticNuclear engineeringCoolantWork (physics)Gas compressorMeteorologyMechanical engineeringHeat pumpEngineeringThermodynamicsGeographyGeologyPhysics

Abstract

fetched live from OpenAlex

Статья посвящена анализу перспектив внедрения тепловой насосной установки в условиях Севера и Арктики на примере Республики Саха (Якутия). Актуальность темы обусловлена необходимостью рационального использования топлива для нужд генерации энергии в населенных пунктах Арктики и Севера. В связи с отсутствием круглогодичных автомагистралей конечная стоимость горюче-смазочных материалов с учетом доставки может возрастать в 2,5 раза, при сроках доставки до 2,5 лет. Цель – анализ перспективы внедрения тепловой насосной установки с источником низкопотенциальной теплоты грунта в условиях Севера и Арктики на примере Республики Саха (Якутия). Методы исследования – применены теплофизические закономерности, методики сравнения результатов расчета и сравнительный анализ полученных данных. Результаты работы – произведен выбор фреона согласно требованиям Монреальского протокола по влиянию на озоновый слой и критическим параметрам температуры и давления. Рассчитан цикл работы тепловой насосной установки с учетом отопительного температурного графика горячего теплоносителя, произведен расчет коэффициента преобразования электроэнергии. Для повышения эффективности работы тепловой насосной установки предложена возможность установки дополнительного теплообменника после конденсатора для предварительного нагрева фреона перед компрессором. Коэффициент преобразования электроэнергии при температуре наружного воздуха от –50°С до 8°С варьируется в диапазоне от 0,9 до 3,2. Сделан вывод, что для повышения надежности теплоснабжения рекомендуется установка пиковых водогрейных котлов для максимально зимнего режима работы теплоснабжения. Целесообразнее работа тепловой насосной установки в осенний и весенний периоды. The article is devoted to the analysis of the prospects for the introduction of a heat pumping unit in the conditions of the North and the Arctic on the example of the Republic of Sakha (Yakutia). Relevance: Is due to the need for rational use of fuel for the needs of energy generation in the settlements of the Arctic and the North. Due to the absence of year-round highways, the final cost of fuel and lubricants, taking into account delivery, can increase by 2.5 times, with delivery times up to 2.5 years. Goal – is to analyze the prospects for the introduction of a heat pumping unit with a source of low-potential ground heat in the conditions of the North and the Arctic on the example of the Republic of Sakha (Yakutia). Research methods: applied thermophysical patterns, methods of comparison of calculation results and comparative analysis of the data obtained. Results of the work: freon was selected according to the requirements of the Montreal Protocol on the effect on the ozone layer and critical parameters of temperature and pressure. The cycle of operation of the heat pumping unit is calculated taking into account the heating temperature schedule of the hot coolant, the conversion coefficient of electricity is calculated. To increase the efficiency of the heat pumping unit, the possibility of installing an additional heat exchanger after the condenser for preheating freon before the compressor is proposed. The conversion coefficient of electricity at outdoor temperatures from –50 ° C to 8 ° C varies in the range from 0.9 to 3.2. It is concluded that in order to increase the reliability of heat supply, it is recommended to install peak hot water boilers for the maximum winter mode of heat supply operation. It is more expedient to operate a heat pumping unit in the autumn and spring periods.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0330.012

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 head0.205
Teacher spread0.192 · 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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