Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination
Today, the world is transitioning from traditional energy to clean, renewable sources. The petroleum sector is to play a role in this transition by supporting material and energy needs related to developing new energy systems. It is, therefore, vital that in upcoming years, the petroleum sector runs...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/2/388 |
| _version_ | 1797344168326987776 |
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| author | Yury Redutskiy Marina Balycheva |
| author_facet | Yury Redutskiy Marina Balycheva |
| author_sort | Yury Redutskiy |
| collection | DOAJ |
| description | Today, the world is transitioning from traditional energy to clean, renewable sources. The petroleum sector is to play a role in this transition by supporting material and energy needs related to developing new energy systems. It is, therefore, vital that in upcoming years, the petroleum sector runs in a smart and efficient way, which can be achieved by coordination and the meaningful integration of decision-making issues in petroleum supply chains (PSCs). The existing literature on PSC optimization reveals a research gap; specifically, there is an insufficient level of technological detail considered while planning capacities of new infrastructures and its impact on the efficiency of further operations, specifically in the push segment of the PSC. This paper proposes a mixed-integer nonlinear programming model for planning capacities and coordinating activities within the mentioned PSC segment. The infrastructure capacity planning model covers technological details such as hydraulics and pump systems’ operational efficiency. The results reveal that the proposed model and its technological decision-making criterion of minimizing energy consumption drive infrastructural choices and operational modes to achieve machinery performance close to the best efficiency point. Also, the computational results demonstrate how traditional (minimum-cost) approaches lead to inefficient energy use while producing and transporting hydrocarbons. The proposed framework aims to facilitate the preliminary design stage of projects undertaken by engineering contractors in the energy sector. |
| first_indexed | 2024-03-08T10:58:26Z |
| format | Article |
| id | doaj.art-a31cd108dc174568ba0d850ea2376fc9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-08T10:58:26Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a31cd108dc174568ba0d850ea2376fc92024-01-26T16:18:29ZengMDPI AGEnergies1996-10732024-01-0117238810.3390/en17020388Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment CoordinationYury Redutskiy0Marina Balycheva1Faculty of Logistics, Molde University College—Specialized University in Logistics, 6410 Molde, NorwayFaculty of Humanities, National University of Oil and Gas «Gubkin University», Moscow 119991, RussiaToday, the world is transitioning from traditional energy to clean, renewable sources. The petroleum sector is to play a role in this transition by supporting material and energy needs related to developing new energy systems. It is, therefore, vital that in upcoming years, the petroleum sector runs in a smart and efficient way, which can be achieved by coordination and the meaningful integration of decision-making issues in petroleum supply chains (PSCs). The existing literature on PSC optimization reveals a research gap; specifically, there is an insufficient level of technological detail considered while planning capacities of new infrastructures and its impact on the efficiency of further operations, specifically in the push segment of the PSC. This paper proposes a mixed-integer nonlinear programming model for planning capacities and coordinating activities within the mentioned PSC segment. The infrastructure capacity planning model covers technological details such as hydraulics and pump systems’ operational efficiency. The results reveal that the proposed model and its technological decision-making criterion of minimizing energy consumption drive infrastructural choices and operational modes to achieve machinery performance close to the best efficiency point. Also, the computational results demonstrate how traditional (minimum-cost) approaches lead to inefficient energy use while producing and transporting hydrocarbons. The proposed framework aims to facilitate the preliminary design stage of projects undertaken by engineering contractors in the energy sector.https://www.mdpi.com/1996-1073/17/2/388petroleum supply chainsupply chain optimizationcoordination in supply chain’s push segmentinfrastructure designoperational efficiencyenergy consumption |
| spellingShingle | Yury Redutskiy Marina Balycheva Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination Energies petroleum supply chain supply chain optimization coordination in supply chain’s push segment infrastructure design operational efficiency energy consumption |
| title | Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination |
| title_full | Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination |
| title_fullStr | Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination |
| title_full_unstemmed | Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination |
| title_short | Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination |
| title_sort | energy efficiency in petroleum supply chain optimization push segment coordination |
| topic | petroleum supply chain supply chain optimization coordination in supply chain’s push segment infrastructure design operational efficiency energy consumption |
| url | https://www.mdpi.com/1996-1073/17/2/388 |
| work_keys_str_mv | AT yuryredutskiy energyefficiencyinpetroleumsupplychainoptimizationpushsegmentcoordination AT marinabalycheva energyefficiencyinpetroleumsupplychainoptimizationpushsegmentcoordination |