Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations
The delivery of herbaceous feedstock from satellite storage locations (SSLs) to a biorefinery or preprocessing depot is a logistics problem that must be optimized before a new bioenergy industry can be realized. Both load-out productivity, defined as the loading of 5 × 4 round bales into a 20-bale r...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | AgriEngineering |
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| Online Access: | https://www.mdpi.com/2624-7402/4/2/37 |
| _version_ | 1797490930432868352 |
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| author | Jonathan P. Resop John S. Cundiff Robert D. Grisso |
| author_facet | Jonathan P. Resop John S. Cundiff Robert D. Grisso |
| author_sort | Jonathan P. Resop |
| collection | DOAJ |
| description | The delivery of herbaceous feedstock from satellite storage locations (SSLs) to a biorefinery or preprocessing depot is a logistics problem that must be optimized before a new bioenergy industry can be realized. Both load-out productivity, defined as the loading of 5 × 4 round bales into a 20-bale rack at the SSL, and truck productivity, defined as the hauling of bales from the SSLs to the biorefinery, must be maximized. Productivity (Mg/d) is maximized and cost (USD/Mg) is minimized when approximately the same number the loads is received each day. To achieve this, a central control model is proposed, where a feedstock manager at the biorefinery can dispatch a truck to any SSL where a load will be available when the truck arrives. Simulations of this central control model for different numbers of simultaneous load-out operations were performed using a database of potential production fields within a 50 km radius of a theoretical biorefinery in Gretna, VA. The minimum delivered cost (i.e., load-out plus truck) was achieved with nine load-outs and a fleet of eight trucks. The estimated cost was 11.24 and 11.62 USD/Mg of annual biorefinery capacity (assuming 24/7 operation over 48 wk/y for a total of approximately 150,000 Mg/y) for the load-out and truck, respectively. The two costs were approximately equal, reinforcing the desirability of a central control to maximize the productivity of these two key operations simultaneously. |
| first_indexed | 2024-03-10T00:40:07Z |
| format | Article |
| id | doaj.art-3f6e28814cba4a05bc099e6714995569 |
| institution | Directory Open Access Journal |
| issn | 2624-7402 |
| language | English |
| last_indexed | 2024-03-10T00:40:07Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AgriEngineering |
| spelling | doaj.art-3f6e28814cba4a05bc099e67149955692023-11-23T15:08:38ZengMDPI AGAgriEngineering2624-74022022-06-014254456510.3390/agriengineering4020037Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage LocationsJonathan P. Resop0John S. Cundiff1Robert D. Grisso2Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USADepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24060, USADepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24060, USAThe delivery of herbaceous feedstock from satellite storage locations (SSLs) to a biorefinery or preprocessing depot is a logistics problem that must be optimized before a new bioenergy industry can be realized. Both load-out productivity, defined as the loading of 5 × 4 round bales into a 20-bale rack at the SSL, and truck productivity, defined as the hauling of bales from the SSLs to the biorefinery, must be maximized. Productivity (Mg/d) is maximized and cost (USD/Mg) is minimized when approximately the same number the loads is received each day. To achieve this, a central control model is proposed, where a feedstock manager at the biorefinery can dispatch a truck to any SSL where a load will be available when the truck arrives. Simulations of this central control model for different numbers of simultaneous load-out operations were performed using a database of potential production fields within a 50 km radius of a theoretical biorefinery in Gretna, VA. The minimum delivered cost (i.e., load-out plus truck) was achieved with nine load-outs and a fleet of eight trucks. The estimated cost was 11.24 and 11.62 USD/Mg of annual biorefinery capacity (assuming 24/7 operation over 48 wk/y for a total of approximately 150,000 Mg/y) for the load-out and truck, respectively. The two costs were approximately equal, reinforcing the desirability of a central control to maximize the productivity of these two key operations simultaneously.https://www.mdpi.com/2624-7402/4/2/37herbaceous feedstockspatial modelingspatial analysisbiomass logisticsbiomass load-outbiomass hauling |
| spellingShingle | Jonathan P. Resop John S. Cundiff Robert D. Grisso Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations AgriEngineering herbaceous feedstock spatial modeling spatial analysis biomass logistics biomass load-out biomass hauling |
| title | Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations |
| title_full | Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations |
| title_fullStr | Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations |
| title_full_unstemmed | Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations |
| title_short | Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations |
| title_sort | central control for optimized herbaceous feedstock delivery to a biorefinery from satellite storage locations |
| topic | herbaceous feedstock spatial modeling spatial analysis biomass logistics biomass load-out biomass hauling |
| url | https://www.mdpi.com/2624-7402/4/2/37 |
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