Computer simulation and life cycle analysis of a seasonal thermal storage system in a residential building
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
The residential sector represents 17% of Canada's secondary energy use, with more than 78% of this contribution due to space and domestic hot water heating. In that perspective, systems that do not require any auxiliary energy are of a certain interest. Such objective is not easy to accomplish, especially in cold climates, but yet can be reached by both upgrading the buildings overall thermal performance and using efficient renewable energy sources. An integrated building model is developed into the TRNSYS 16 simulation environment. First, a typical one-storey detached house, located in Montreal is considered as a base case. Conventional electric baseboard heaters and an electric domestic hot water storage tank provide the space heating and domestic hot water requirements. A life cycle performance of the house is performed and results of the life cycle energy use, environmental impacts and life cycle cost are presented. Second, several design alternatives are proposed to improve the life cycle performance of the base case house. The solution that minimizes the energy demand is finally chosen as a reference building for the study of long-term thermal storage. Third, the computer simulation of a solar heating system with solar thermal collectors and long-term thermal storage capacity is presented. The system is designed to supply hot water for the radiant floor heating system and domestic hot water. Simulation results show that the system is able to cover a whole year of energy requirements using a minimum of auxiliary energy. A sensitivity analysis is performed to improve the overall performance. The life cycle energy use and life cycle cost of the system are investigated and results presented in the thesis.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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