Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach
In this paper, we present a sustainable electrical energy supply chain system (SEESCS) where two supply chain parties are involved, namely a power plant and a transmission station. The power plant has two different types of power generation systems. The first power generation system (PG1) is more co...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9491047/ |
| _version_ | 1818454425784549376 |
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| author | Wakhid A. Jauhari I. Nyoman Pujawan Mokh Suef Ivan D. Wangsa |
| author_facet | Wakhid A. Jauhari I. Nyoman Pujawan Mokh Suef Ivan D. Wangsa |
| author_sort | Wakhid A. Jauhari |
| collection | DOAJ |
| description | In this paper, we present a sustainable electrical energy supply chain system (SEESCS) where two supply chain parties are involved, namely a power plant and a transmission station. The power plant has two different types of power generation systems. The first power generation system (PG1) is more costly but it generates lower emissions than the second system (PG2). The model is developed based on a lot-sizing inventory problem to decide the load allocation between PG1 and PG2. The objective function is to minimize total costs that consist of energy generation cost and emission cost. The transmission station faces a stochastic demand and employs a continuous review policy to manage the electrical energy storage. An efficient procedure is developed to solve the model and a sensitivity analysis is carried out to explore the impact of changes in some key parameters on the model’s behavior. The results show that the allocation of electricity generation is mostly influenced by the change in PG1’s production cost parameter and PG2’s emissions parameters. The amount of emissions generated from the system is significantly affected by the variation in PG1’s production cost parameter, PG2’s emissions parameters, and electricity demand. Furthermore, by adjusting the power supply rate of power generation, the supply chain can control the overall emissions produced and maintain the total cost. |
| first_indexed | 2024-12-14T21:54:41Z |
| format | Article |
| id | doaj.art-82c788f60e714524af30a638878b5c8b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T21:54:41Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-82c788f60e714524af30a638878b5c8b2022-12-21T22:46:10ZengIEEEIEEE Access2169-35362021-01-01910220710222410.1109/ACCESS.2021.30985439491047Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory ApproachWakhid A. Jauhari0I. Nyoman Pujawan1Mokh Suef2Ivan D. Wangsa3https://orcid.org/0000-0002-2509-2744Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, IndonesiaDepartment of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, IndonesiaDepartment of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, IndonesiaHSE Department, PT Pratama Abadi Jaya, Balikpapan, IndonesiaIn this paper, we present a sustainable electrical energy supply chain system (SEESCS) where two supply chain parties are involved, namely a power plant and a transmission station. The power plant has two different types of power generation systems. The first power generation system (PG1) is more costly but it generates lower emissions than the second system (PG2). The model is developed based on a lot-sizing inventory problem to decide the load allocation between PG1 and PG2. The objective function is to minimize total costs that consist of energy generation cost and emission cost. The transmission station faces a stochastic demand and employs a continuous review policy to manage the electrical energy storage. An efficient procedure is developed to solve the model and a sensitivity analysis is carried out to explore the impact of changes in some key parameters on the model’s behavior. The results show that the allocation of electricity generation is mostly influenced by the change in PG1’s production cost parameter and PG2’s emissions parameters. The amount of emissions generated from the system is significantly affected by the variation in PG1’s production cost parameter, PG2’s emissions parameters, and electricity demand. Furthermore, by adjusting the power supply rate of power generation, the supply chain can control the overall emissions produced and maintain the total cost.https://ieeexplore.ieee.org/document/9491047/Electrical energyemissionenergy storageinventorylot-sizingpower generation |
| spellingShingle | Wakhid A. Jauhari I. Nyoman Pujawan Mokh Suef Ivan D. Wangsa Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach IEEE Access Electrical energy emission energy storage inventory lot-sizing power generation |
| title | Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach |
| title_full | Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach |
| title_fullStr | Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach |
| title_full_unstemmed | Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach |
| title_short | Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach |
| title_sort | sustainable electrical energy supply chain system with hybrid power generation an inventory approach |
| topic | Electrical energy emission energy storage inventory lot-sizing power generation |
| url | https://ieeexplore.ieee.org/document/9491047/ |
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