Energy service companies as a component of a comprehensive university sustainability strategy
Bibliographic record
Abstract
Purpose This paper aims to quantify and critically analyze the best practices of a comprehensive environmental stewardship strategy (ESS), which included a guaranteed energy savings program (GESP) that utilized an energy service company (ESCO). Design/methodology/approach The environmental and economic benefits and limitations of an approach utilizing an ESCO are critically analyzed in the context of implementing a comprehensive university sustainability strategy. Findings A GESP, which utilized the technical and financial expertise of energy service companies, improved the operational efficiency, decreased the ecological footprint, and reduced the operating costs of the university. Practical implications Energy‐saving projects are “win‐win” situations, addressing both economy and ecology. Utilizing energy service companies in the university setting is a useful method to catalyze university administration to support sustainability initiatives and accelerate the implementation of comprehensive sustainability strategies. Originality/value The current waste rampant at most universities provides a large number of opportunities to improve environmental stewardship while reducing operating costs. This paper provides a new model utilizing energy service companies to capitalize on these opportunities to move universities towards sustainability.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".