Thermo-Economic Evaluation of an Organic Rankine Cycle powered Vapor Compression chiller for cooling air conditioning of SMME. / (Record no. 613830)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02085nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Talha, Muhammad |
| 245 ## - TITLE STATEMENT | |
| Title | Thermo-Economic Evaluation of an Organic Rankine Cycle powered Vapor Compression chiller for cooling air conditioning of SMME. / |
| Statement of responsibility, etc. | Muhammad Talha |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 97P. |
| Other physical details | Soft Copy |
| Dimensions | 30CM |
| 500 ## - GENERAL NOTE | |
| General note | The worldwide need for energy as well as environmental challenges have promoted the<br/>creation of sustainable power solutions. Various working fluid combinations are utilized for an<br/>Organic Rankine Cycle powered Vapor Compression Cycle (ORC-VCC) to deliver cooling<br/>applications. The selection of an appropriate working fluid significantly impacts system<br/>performance, efficiency, and environmental impact. In this study we evaluates possible working<br/>fluids to optimize the ORC-VCC system. Firstly, the Artificial Neural Network (ANN) derived<br/>models for exergy destruction (πΈππ‘ππ‘), and the heat exchanger total heat transfer capacity (ππ΄π‘ππ‘).<br/>Later on, the multi-objective optimization was conducted using the acquired models for πΈππ‘ππ‘ and<br/>ππ΄π‘ππ‘ using the Genetic Algorithm (GA) followed by Technique for Order of Preference by<br/>Similarity to Ideal Solution (TOPSIS).The optimization result showcase Decane ORC- R600a<br/>VCC as the optimal choice for ORC-VCC system, resulting in values of πΈππ‘ππ‘ and ππ΄π‘ππ‘ resulting<br/>in value of 24.50 kW and 6.71 kW/K, respectively. From the extended analysis and optimization,<br/>the cooling capacity was found to be 41.8 kW. Meanwhile, the total cost per unit was estimated to<br/>be approximately $78710 and the payback period is 9.7 years. The research data shows how viable<br/>it is to implement biogas-driven ORC-VCC systems when providing air conditioning capabilities. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Mechanical Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Muhammad Tauseef Nasir |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/53145">http://10.250.8.41:8080/xmlui/handle/123456789/53145</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 06/02/2025 | 621 | SMME-TH-1135 | Thesis |