Advancing energy transition with novel biomass-solar based multigeneration energy system using hydrogen and storage options for sustainable cities
Bibliographic record
Abstract
An integrated energy system is designed to achieve various products such as hydrogen production, electricity, heating, and cooling. It utilizes various subsystems; solar power system, biomass energy system, steam Rankine cycle, Brayton cycle, absorption system, reverse osmosis, and sonohydrogen production. Energy, exergy, economic and environmental analyses are carried out to evaluate the system's performance and sustainability. The engineering equation solver is used for the analyses. The energy efficiencies for the BC, ORC, and SRC are recorded as 29.69%, 10.49%, and 30%, respectively. In regard to exergy efficiency, the BC, ORC, and SRC stand at 46.74%, 62.73%, and 53.43%, respectively. Furthermore, the DEAS attains energetic and exergetic COPs of 1.67 and 0.65, respectively. Additionally, the overall system's energy and exergy efficiencies are 37.68% and 71.25%, respectively. The results from the thermal energy storage system indicate that heat production begins at 7:00 AM, and after two hours, charging of the storage commences, continuing until 17:00, coinciding with the availability of sunlight. The economic analysis demonstrates that with an initial investment of $53.80 million, the integrated multigeneration system projects a net present value ranging from $6.87 million to $173.4 million across different hydrogen selling prices, from $7,000 to $13,000 per ton, by 2054.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".