Exergoeconomic analysis of a geothermal steam turbine combined with multi-effect desalination and reverse osmosis
Bibliographic record
Abstract
An exergoeconomic analysis is reported of a geothermal-based combined system for electricity and freshwater in which a geothermal steam turbine is integrated with multi-effect desalination and reverse osmosis systems. The article includes an exergy analysis, an economic assessment and an exergoeconomic (i.e., exergy-based economic) evaluation. The specific exergy costing method is used for the analysis of the system to determine the effects of various design criteria on the cost rates and then to incorporate feasible improvements for enhanced cost effectiveness. The results of the exergoeconomic analysis can assist in the design, optimization and improvement of geothermal-based electricity-freshwater production combined systems. It is found that the exergoeconomic factors for the reverse osmosis, multi-effect desalination and steam turbine are high, all exceeding 85%. Thus, reducing the investment costs for these components is merited. This can be done by any of the following measures, among others: reducing heat transfer area in the multi-effect desalination system, using less expensive pumps and membranes in reverse osmosis, and lowering the expansion ratio, turbine inlet temperature and isentropic efficiency for the steam turbine.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".