Optimal BESS Sizing for Industrial Facilities Participating in RTP DR
The predictability of their manufacturing lines allows industrial facilities to optimize their production scheduling and to participate in demand response (DR), in day-ahead, real-time pricing (RTP) electricity markets. Battery energy storage systems (BESSs) make the electrical demand of industrial...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/8857061 |
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| author | Youssef Shakrina Rayan Al Sobbahi Harag Margossian |
| author_facet | Youssef Shakrina Rayan Al Sobbahi Harag Margossian |
| author_sort | Youssef Shakrina |
| collection | DOAJ |
| description | The predictability of their manufacturing lines allows industrial facilities to optimize their production scheduling and to participate in demand response (DR), in day-ahead, real-time pricing (RTP) electricity markets. Battery energy storage systems (BESSs) make the electrical demand of industrial facilities more flexible and increase their potential to benefit from DR. The BESS sizing problem, for industrial facilities participating in RTP DR, is complex due to the discreteness of their manufacturing lines and the stochastic nature of electricity pricing. In this paper, an approach to BESS sizing is proposed. Scenario extraction using k-means clustering is used to reduce the problem complexity, and the extracted scenarios are preprocessed to reduce the search space for the optimal size of the BESS. The steps involved in the proposed approach are demonstrated, in detail, through a case study that uses a generic model of an industrial unit. The results of the case study show the effectiveness and validity of the problem reduction techniques used and highlight the role of electricity storage in maximizing the profits of the industrial unit. Finally, a sensitivity analysis is carried out to illustrate the impact of the BESS installation cost on the results. |
| format | Article |
| id | doaj-art-8496b561d9e442b79ec7a129791c7836 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-8496b561d9e442b79ec7a129791c78362025-02-03T05:54:34ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/8857061Optimal BESS Sizing for Industrial Facilities Participating in RTP DRYoussef Shakrina0Rayan Al Sobbahi1Harag Margossian2Lebanese American UniversityLebanese American UniversityLebanese American UniversityThe predictability of their manufacturing lines allows industrial facilities to optimize their production scheduling and to participate in demand response (DR), in day-ahead, real-time pricing (RTP) electricity markets. Battery energy storage systems (BESSs) make the electrical demand of industrial facilities more flexible and increase their potential to benefit from DR. The BESS sizing problem, for industrial facilities participating in RTP DR, is complex due to the discreteness of their manufacturing lines and the stochastic nature of electricity pricing. In this paper, an approach to BESS sizing is proposed. Scenario extraction using k-means clustering is used to reduce the problem complexity, and the extracted scenarios are preprocessed to reduce the search space for the optimal size of the BESS. The steps involved in the proposed approach are demonstrated, in detail, through a case study that uses a generic model of an industrial unit. The results of the case study show the effectiveness and validity of the problem reduction techniques used and highlight the role of electricity storage in maximizing the profits of the industrial unit. Finally, a sensitivity analysis is carried out to illustrate the impact of the BESS installation cost on the results.http://dx.doi.org/10.1155/2023/8857061 |
| spellingShingle | Youssef Shakrina Rayan Al Sobbahi Harag Margossian Optimal BESS Sizing for Industrial Facilities Participating in RTP DR International Transactions on Electrical Energy Systems |
| title | Optimal BESS Sizing for Industrial Facilities Participating in RTP DR |
| title_full | Optimal BESS Sizing for Industrial Facilities Participating in RTP DR |
| title_fullStr | Optimal BESS Sizing for Industrial Facilities Participating in RTP DR |
| title_full_unstemmed | Optimal BESS Sizing for Industrial Facilities Participating in RTP DR |
| title_short | Optimal BESS Sizing for Industrial Facilities Participating in RTP DR |
| title_sort | optimal bess sizing for industrial facilities participating in rtp dr |
| url | http://dx.doi.org/10.1155/2023/8857061 |
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