Efficient Industrial Refrigeration Scheduling with Peak Pricing
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909213576396800 |
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| author | Konda, Rohit Prescott, Jordan Chandan, Vikas Crossno, Jesse Pollard, Blake Walsh, Dan Bohonek, Rick Marden, Jason R. |
| author_facet | Konda, Rohit Prescott, Jordan Chandan, Vikas Crossno, Jesse Pollard, Blake Walsh, Dan Bohonek, Rick Marden, Jason R. |
| contents | The widespread use of industrial refrigeration systems across various sectors contribute significantly to global energy consumption, highlighting substantial opportunities for energy conservation through intelligent control design. As such, this work focuses on control algorithm design in industrial refrigeration that minimize operational costs and provide efficient heat extraction. By adopting tools from inventory control, we characterize the structure of these optimal control policies, exploring the impact of different energy cost-rate structures such as time-of-use (TOU) pricing and peak pricing. While classical threshold policies are optimal under TOU costs, introducing peak pricing challenges their optimality, emphasizing the need for carefully designed control strategies in the presence of significant peak costs. We provide theoretical findings and simulation studies on this phenomenon, offering insights for more efficient industrial refrigeration management. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_20433 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Efficient Industrial Refrigeration Scheduling with Peak Pricing Konda, Rohit Prescott, Jordan Chandan, Vikas Crossno, Jesse Pollard, Blake Walsh, Dan Bohonek, Rick Marden, Jason R. Systems and Control The widespread use of industrial refrigeration systems across various sectors contribute significantly to global energy consumption, highlighting substantial opportunities for energy conservation through intelligent control design. As such, this work focuses on control algorithm design in industrial refrigeration that minimize operational costs and provide efficient heat extraction. By adopting tools from inventory control, we characterize the structure of these optimal control policies, exploring the impact of different energy cost-rate structures such as time-of-use (TOU) pricing and peak pricing. While classical threshold policies are optimal under TOU costs, introducing peak pricing challenges their optimality, emphasizing the need for carefully designed control strategies in the presence of significant peak costs. We provide theoretical findings and simulation studies on this phenomenon, offering insights for more efficient industrial refrigeration management. |
| title | Efficient Industrial Refrigeration Scheduling with Peak Pricing |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2405.20433 |