Techno-economic Feasibility of Renewable Energy Based Stand-alone Energy System for a Green House: Case Study
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
<p class="p1">As the negative impacts of fossil fuel consumption for power generation become increasingly globally evident—particularly the effects of greenhouse gas (GHG) emissions on climate change—so too does the conversely positive potential of renewable energies to reduce the rate of damaging environmental impacts as energy demand grows. In addition to the clear environmental advantage, stand-alone renewable energy power generation options offer energy security and stability in regions where socio-political issues or geographic location might otherwise pose access limitations on fuel and/or electric grid power, particularly in remote communities. This paper discusses the techno-economic considerations for renewable energy power systems in residential community applications. A case study for a residential house in New Cairo in Egypt compares two different renewable energy systems that meet typical electrical demand for this region. Economic assessment—in terms of system net present cost (NPC) and levelized cost of electricity (LCOE)—provide measures for system performance comparison and optimization. The LCOE for system-I and system-II are found to be $0.359/kWh and $0.373/kWh, respectively.
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) | 0.001 | 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