Appraising the Cost and Heat Emission Implications of Residential Energy Efficient Lighting in Benin City, Edo State
Bibliographic record
Abstract
Both Climate change and energy poverty will impact on the collective health, security and economy of Nigeria and make it impossible for the country to attain the MDG Goals. To ensure improved access to energy, while at the same time safeguarding the ecosystem will require energy efficiency initiat ives targeted at large-scale imp lementation of efficient lighting technologies. Co mpact Fluorescent Lamps (CFLs) are a d irect substitute for incandescent light bulbs which is widely used in Nigeria. The paper aims to evaluate the energy and cost savings using compact fluorescent lamps substitute for incandescent light bulbs University campus. The retrofitting exercise lasted for one month between 4pm to 7p m daily. No CFL bulb was given to occupant for personal installation, to ensure that all the points were installed to avert possible reinstallation with incandescent bulbs. Results of post audit evaluation showed that peak loads for the sampled quarters dropped reasonably while energy consumption bills also dropped. In the Professorial quarter money saved is N62,954.58 per month, in A quarter 86% of energy was saved while N224,109.46 money was saved in one month. In B quarter N333,777.45 energy consumption cost was saved in one month. To ensure that the benefits of CFLs are sustained, the study suggests the need for awareness and adequate sensitization of the public on the environmental and economic importance of CFLs through implementation of policies and measures to overcome co mmunication barriers.
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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) | 0.000 | 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 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".