Decision Support System For Sizing Drying Bins, Fan Selection And Drying Parameters Determination For Selected Grains
dc.contributor.author | Parker – Allotey, C.K. | |
dc.date.accessioned | 2023-10-06T17:08:43Z | |
dc.date.available | 2023-10-06T17:08:43Z | |
dc.date.issued | 2022-01 | |
dc.description | M.A. Agricultural Engineering | en_US |
dc.description.abstract | Grain drying is a very important step in the storage and handling of grains. Computer models have been created over the past years to optimise and ease the amount of work and calculations that are invested into the planning, economics building, operation and management of drying systems and facilities. Although there have been advancements in computerised systems and programmes, decision making when it comes to planning, costing, construction, management, and operation of drying systems can still prove to be a strenuous task to undertake. Also, most computerised systems require in-depth knowledge in drying to operate. Most of these systems do not also provide features which allow for economic decision making. There is therefore still the need to develop a new programme which is relatively easier to use and can further optimise the decision-making process. A computer programme was developed using python that calculates the bin diameter, grain depth, airflow and airflow rate, and fan horsepower using the specific grain to be dried, the desired volume, drying method, and budget type as inputs. Various formulas and assumptions were used to perform calculations for each parameter. The programme was created to provide realistic estimates for each drying parameter depending on the inputs provided by the user. The programme also provides a database that allows users to select fans based on the calculated fan horsepower. The programme created was successful in performing calculations for all the parameters listed above. This programme simplified certain calculations that must be made during the decision-making process, thereby allowing for its use by people with shallow knowledge in drying systems decision making with respect to budgeting. | en_US |
dc.identifier.uri | http://ugspace.ug.edu.gh:8080/handle/123456789/40348 | |
dc.language.iso | en | en_US |
dc.publisher | University Of Ghana | en_US |
dc.subject | Drying Bins | en_US |
dc.subject | Decision Support System | en_US |
dc.subject | Fan Selection | en_US |
dc.subject | Drying Parameters | en_US |
dc.subject | Grains | en_US |
dc.title | Decision Support System For Sizing Drying Bins, Fan Selection And Drying Parameters Determination For Selected Grains | en_US |
dc.type | Thesis | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Cedric Kpakpo Parker – Allotey_2022.pdf
- Size:
- 2.64 MB
- Format:
- Adobe Portable Document Format
- Description:
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: