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Record W7006526948

Värme från gruvvatten : En undersökning av olika metoder för att kunna hämta värme ur vattnet som pumpas upp ur gruvorna

2023· other· en· W7006526948 on OpenAlexaboutno aff

Bibliographic record

VenueDiVA at Umeå University (Umeå University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHeat exchangerWork (physics)Heat pumpHeat recovery ventilationWaste heatWaste heat recovery unit
DOInot available

Abstract

fetched live from OpenAlex

Boliden Mineral AB - Boliden Mines is a company that carries out continuous improvement work in the energy and environmental area. During this degree project, the possibility of making use of waste heat from the mine water that is pumped out of the Renström mine was evaluated. The possibility of making use of the heat from the mine water is interesting as the water that is pumped up maintains a stable temperature between +8 degrees to +20 degrees. This provides a suitable heat source for heat pumps by extracting the heat using heat exchangers or collectors. The purpose of this thesis has been to investigate which type of solution between collectors and heat exchangers is technically and economically most advantageous. The cases reviewed are to either invest in components for the existing heat pump, which is located next to the collection basin, in the old treatment plant, or to invest in a new facility in connection with the fire dam. Reviews to determine alternative collectors and heat exchangers were carried out on a theoretical basis. The review was based on the fact that collectors and heat exchangers must be durable, easy to disassemble and easy to maintain. Through economic analyzes and discussion with various companies and suppliers, three different collectors and three different heat exchangers respectively were determined as possible solutions. Conclusions were extracted from these components for the various cases. The conclusion that can be drawn for the existing case of the existing heat pump located adjacent to the collection pond, the old treatment plant, is that an installation of two Geek kooil collectors is the most economically beneficial investment. The company also chose to invest in this option.For the case of a new facility in connection with the fire dam, the result is presented depending on the investment in the number of heat pumps, where the payback times vary between the different investment options. The payback time of the collectors and heat exchangers varies between 3 to 8 years depending on the number of heat pumps or collectors.Conclusion given from both the existing case and the case of a new plant gave that from the point of view of the collectors, the Geek kooil collector was the better option, both for the existing heat pump and for a new installation of one, two or three heat pumps. A Geek kooil collector gave an investment cost per kW between SEK 3813 and 2647/kW. For the heat exchangers, the plate heat exchanger from Alfa laval was determined to be the better option for a new installation of both one, two or three heat pumps. The plate heat exchanger from Alfa laval gave an investment per kW of SEK 360/kW, which is lower than the comparative alternatives.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.011

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 head0.197
Teacher spread0.178 · 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 designBench or experimental
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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Citations0
Published2023
Admission routes1
Has abstractyes

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