Thermo-economic assessment and optimization of a multigeneration system powered by geothermal and solar energy
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 novel multigeneration system using dual renewable energy sources (i.e., geothermal and solar) is introduced, analyzed, and optimized. The integration of a geothermal line, a solar tower, a steam Rankine cycle, two organic Rankine cycles, an ejector refrigeration cycle, a thermoelectric generator unit, and a reverse osmosis subsystem forms the entire system. The outputs of this energy-conversion system are heating load, cooling load, electricity, and freshwater. Regarding methodology, the energy, exergy, and exergoeconomic approaches are implemented to assess the system from thermodynamic and economic viewpoints. Moreover, an optimization process based on exergy efficiency and the total unit cost of products is executed to determine the system’s optimal decision variables. The results obtained from the optimization process show that the proposed system is able to achieve 25.4% exergy efficiency and 34.1 $/GJ total unit cost of products, exhibiting 48% and 43% improvement compared to a base case study. Furthermore, the methodology is demonstrated on a case study where the system operates at its optimum condition in a specific location. Having monthly average values of direct normal irradiation for this spot, the average hourly performance of the system is evaluated for each month. Based on the obtained results, the minimum and maximum freshwater production rates are 3.06 kg/s and 3.84 kg/s, respectively. It can be estimated that a range of 1224 to 1536 individuals, varying from month to month, can receive the produced freshwater.
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 | 0.000 | 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