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Record W7116073012 · doi:10.82417/q4j0-a370

Techno-economic assessment of dual-source heat pump systems

2025· other· en· W7116073012 on OpenAlexfundaboutno aff

Bibliographic record

VenueEspace ÉTS (ETS) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsHeat pumpBoreholeHeat exchangerCoefficient of performanceEnergy consumptionAir source heat pumpsHybrid heatMode (computer interface)

Abstract

fetched live from OpenAlex

This study presents a techno-economic assessment of dual-source heat pump (DSHP) systems, which integrate air- and ground-source operations. These heat pumps could mitigate the high upfront costs associated with conventional ground-source heat pump (GSHP) systems, but the feasibility of their operations in cold climates is unknown. A simulation model of the system is developed to evaluate DSHP performance across three Canadian cities—Edmonton, Toronto, and Montreal. The overall system model integrates low-level models and/or data for various components from recent literature to understand and compare energy consumption of DSHPs compared to GSHPs over a 20-year lifespan. These include heat pump performance curves derived from available experimental data in literature, a semi-analytical borehole model that couples thermal interactions between the ground heat exchanger (GHE) that is connected to the heat pump and the surrounding ground, accurate for both short-term and long-term simulations of ground heat flows, and a control strategy that switches operational modes based on outdoor temperature thresholds.Three outdoor air temperature set points (0°C, -5°C, and -10°C) are analyzed—above which the heat pump switches from GSHP mode operation to air-source—to determine their impact on borehole design requirements, heating and cooling coefficients of performance (COP), energy consumption, and life-cycle costs. Simulation results reveal that lowering the temperature set point extends the duration of air-source mode operation, thereby reducing the required borehole length by up to 19-42% in the three locations compared to GSHP-only systems. However, this reduction in borehole size is accompanied by a decline in heating mode COP and an increase in long-term electricity consumption due to the lower efficiency of air-source operation.A life-cycle cost analysis is conducted over a 20-year horizon, incorporating both capital expenditures—primarily associated with drilling and GHE installation—and operating costs based on regional electricity rate structures. The analysis demonstrates that, despite higher operational expenses, the capital cost savings achieved through reduced borehole requirements lead to a significant reduction in net present value of costs, particularly in Toronto (up to 14%) compared to more modest savings in Edmonton and Montreal (approximately 5%). Such reductions suggest that DSHPs might be a feasible alternative for GSHPs where the large capital costs of GSHPs limit their adoption. The study highlights the critical trade-offs between capital cost reductions and operational performance, emphasizing the need for climate-specific optimization of DSHP systems, laying the groundwork for further experimental validation and refinement of DSHP systems.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.009

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 head0.270
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes2
Has abstractyes

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