Development, modeling, and optimization of ground source heat pump systems for cold climates: A comprehensive review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• A comprehensive review of GSHPs for cold climate applications is presented. • A systematic methodology to classify and evaluate various ground heat exchanger designs. • Critical analysis of GSHP performance improvement using solar thermal energy and thermal storage systems. • Review of control and optimization strategies for heat pumps in cold climates. Increasing concerns over anthropogenically-induced climate change are driving the search for alternative, renewable, clean technology to generate energy. Heat pumps are an efficient means of transitioning towards renewable energy sources for space heating, space cooling, and water heating in buildings. The common types of heat pumps are air source heat pumps, which use the ambient air as the energy source and sink, and ground source heat pumps (GSHPs), which use the more stable ground temperatures as the source and sink. In cold climates, the performance of both systems may be compromised, demanding careful design, optimization, and enhancement. GSHPs have the most excellent potential in cold climates where heating loads are significantly higher than cooling loads owing to their use of the more stable ground temperatures. Therefore, this paper provides a comprehensive review of GSHP systems for cold climates, beginning by first introducing the GSHP technology, including a summary of geothermal system classifications and a review of global GSHP systems and their applications. This is followed by an overview of closed-loop systems, including different configurations of ground heat exchangers, and a look at recent innovations in the design of GSHPs. Moreover, studies on the design and performance improvements of open-loop systems are discussed. As a means of improving system performance in cold climates, this paper presents a review of hybrid systems developed by several researchers. Additionally, insights on using GSHP systems for district heating and incorporating thermal storage systems to improve overall system performance are examined. Finally, the control and optimization strategies, as well as economic feasibility and environmental impacts, are reviewed. This study shows the potential to reduce thermal interference radius, thermal imbalance and the length of the heat exchanger when using GSHP systems with latent thermal storage systems and solar recharging. Nonetheless, a need remains for more robust and accurate dynamic prediction models for hybrid heating systems with GSHPs to assess long-term performance and cost-effectiveness.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it