Techno‐economic assessment of hybrid renewable resources for a residential building in tehran
Bibliographic record
Abstract
Continued reductions in air pollution and greenhouse gas (GHG) emissions are crucial in megacities like Tehran, Iran, as they pose serious threats to both people's health and the environment. Reducing energy use through renewable energy projects will result in the mitigation of GHG emissions. Hence, this study was designed to assess the use of renewable energy resources to provide the energy services for a residential building. The specific objective of this article is to select a hybrid renewable energy system that can meet the energy demand of a 5‐story residential building in Tehran. The energy consumption of the building is calculated using DesignBuilder software. Then, HOMER software is applied to propose an economically feasible solar‐wind hybrid system that can meet the energy demand of the building. Initially, information required for HOMER and DesignBuilder software such as the building plan, details on electrical appliances used in the building, solar radiation, wind speed, and cost of renewable systems were collected. Subsequently, the energy performance of the building was simulated in DesignBuilder software and the results were applied to HOMER software. Finally, the hybrid systems proposed by HOMER were economically compared. Furthermore, the emissions produced by the proposed system were evaluated against a diesel only system to assess the amount of offset emissions. The comparison of the hybrid and diesel systems shows that utilization of hybrid systems can significantly reduce the magnitude of GHG emissions along with achieving cost saving. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".