Design and performance assessment of an integrated energy system with compressed air and pumped hydro storage
Bibliographic record
Abstract
This study proposes a new integrated energy system driven by solar energy with compressed air and pumped hydro storage options, as it aims to produce multiple useful outputs to help achieve a sustainable community. In this regard, a specific location is selected as the Kalgoorlie-Boulder community in Australia for a case study and a potential application. The present system integrates various technologies to provide five key outputs: electricity, hydrogen, cooling, heating and hot water. The integrated system is designed to operate in two distinct modes: charging and discharging. During the charging phase, surplus energy is used to compress air in an underground cavern and for pump hydro storage, which is later released during the discharging phase to meet peak energy demands. The microbial electrolysis cells, using domestic wastewater as feedstock, produce hydrogen at a rate of 0.05 kg/s. The system produces electricity mainly by steam the Rankine cycles and two-stage gas turbines, resulting in a net output of 5366.45 kW during charging and 30,703.4 kW during discharging. It provides 2.39 kg/s of heating, 2 kg/s of cooling, and 50 kg/s of hot water. The current system finally shows energy and exergy efficiencies of 32.05 % and 37.6 % during the charging phase and 56.1 % and 65.9 % during the discharging phase, respectively. • Energy and exergy efficiencies are 32.05 % and 37 % in charging mode, and 56 % and 65 % in discharging mode. • Hydrogen production rate is 0.05 kg/s using the microbial electrolysis cell (MEC) system. • Net electrical power generation is 5366.45 kW in charging mode and 30,703.4 kW in discharging mode. • Heating, cooling, and hot water outputs are 2.39 kg/s, 2 kg/s, and 50 kg/s in charging mode. • Space heating output reaches 77.39 kg/s in discharging mode, with cooling and hot water outputs remaining consistent.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".