Comparative analysis of energy dispatch strategies in PV-integrated renewable energy systems
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
The growing global population and escalating energy demands have highlighted the urgent need for a transition to sustainable and renewable energy sources. This study investigates the design and optimization of hybrid energy systems (HES) for Pelee Island, Canada—a remote community facing unreliable single-phase grid supply and increasing seasonal demand. The proposed HES integrates photovoltaic (PV) systems with tracking technologies, a biogas gasifier, diesel generator, lithium-ion battery storage, and grid interaction, under 2 dispatch strategies: Load Following (LF) and Cycle Charging (CC). Among 8 configurations, the CC-based system with VCA tracking (776 kW PV, 73 batteries) performs best, achieving a Net Present Cost (NPC) of $1.6 M, Cost of Electricity (COE) of $0.083/kWh, and Renewable Fraction (RF) of 78.7%. It meets 1,537,217 kWh of a 1,537,271 kWh annual load, with only 54.3 kWh unmet. The LF-VCA system offers the highest RF at 86.3% and the lowest emissions at 21.6 t/year but at a higher NPC of $1.62 M. Battery state of charge (SOC) stays above 60% in summer and often drops below 30% in winter. A 50% increase in SOC min raises NPC by 20%, and a 1.5× capital cost nearly doubles COE. A 60% albedo boosts RF by 7.6% and reduces NPC by 18%. Compared to LF, the optimal CC system lowers NPC by $0.02 M and COE by $0.002/kWh, while producing 90,551 kWh/year of surplus energy. Grid imports peak in winter (>100 kW) and fall near zero in summer, while surplus exports exceed 200 kW during peak solar hours, enhancing system revenue through $0.15/kWh sales. • Hybrid energy system with a VCA tracker achieves $0.083/kWh COE and 78.7% RF. • SOC min variations significantly impact NPC and COE in tracker-based systems. • Albedo improvements enhance solar efficiency, reducing NPC and renewable fraction. • CC dispatch strategy outperforms LF in cost-effectiveness and system efficiency.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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