Techno-economic assessment of a solar-powered green hydrogen storage concept based on reversible solid oxide cells for residential micro-grid: A case study in Calgary
Bibliographic record
Abstract
Solar photovoltaic (PV)-based electricity production has gained significant attention for residential applications in recent years. However, the sustainability and economic feasibility of PV systems are highly dependent on their grid-connected opportunities, which may diminish with the increasing penetration of renewable energy sources into the grid. Therefore, securing reliable energy storage is crucial for both grid-connected and off-grid PV-based residential facilities. Given the high capital costs and environmental issues associated with batteries, hydrogen energy emerges as a superior option for medium to large residential applications. This paper proposes an innovative concept for PV-based green hydrogen production, storage, and utilization using solid oxide cells within residential micro-grids. It includes comprehensive techno-economic and environmental analyses of the proposed system, utilizing dynamic solar data, with a case study focusing on Calgary. The results indicate that seasonal hydrogen storage significantly enhances the feasibility of meeting the electricity demand of an off-grid residential community consisting of 525 households connected to a 4.6 MW solar farm. With the inclusion of Canadian clean hydrogen tax incentives, the monthly cost per household is approximately $319, potentially decreasing to $239 with advancements in solid oxide cell technology and extended lifetimes of up to 80,000 h. Furthermore, implementing this system in Calgary could result in a monthly reduction of at least 250 kg of CO 2 emissions per household. • Proposing a novel design for solar-based green hydrogen production, storage, and utilization. • Introducing an efficient and economic off-grid based solar PV and solid oxide cells. • Performing a comprehensive comparative techno-economic analyses for case study of Calgary. • Achieving a monthly electricity cost of $319 by designing this micro-grid for 525 households. • Reducing GHG emissions by 250 kgCO 2 /month for each household by employing this system.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".