Optimisation of material and energy exchange in an eco-park network considering three fuel sources
Bibliographic record
Abstract
This work represents a quantitative assessment of the eco-park theory and its application to a case involving the manufacture and export of several chemical products in addition to heat and electricity from an eco-industrial park comprised of a number of facilities or ‘nodes’. The eco-industrial network is assessed in terms of environmental impact and profitability relative to existing facilities that do not interact directly with the exchange of material and energy streams amongst the nodes. GAMS software was employed to create the optimisation program with decision variables describing which of the network nodes should be constructed and what their associated production capacities should be in order to optimise an objective function focused on profit and environmental impact. Additionally, utilisation of three different fuels as the primary source of chemical reagents and energy are considered in various scenarios. These fuels are coal and biomass for gasification or a steam-methane reforming process for hydrogen production using natural gas as the fuel. The eco-park network with interacting production nodes is shown to be more profitable than the comparable non-integrated set of facilities and the network exports are produced with lower environmental impact in terms of criteria air contaminants.
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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".