A Data Driven Approach to Uncovering Energy Consumption Reduction Opportunities Within Industrial Operations
Rising operating costs and environmental pressures are compelling industrial companies to reduce energy consumption without affecting output. Although various tools to identify energy reduction opportunities exist, they often fall short, being overly theoretical, too generic, or primarily focused on...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155994 |
| _version_ | 1811091423268700160 |
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| author | Correa Núñez, Juan Fernando |
| author2 | Willems, Sean |
| author_facet | Willems, Sean Correa Núñez, Juan Fernando |
| author_sort | Correa Núñez, Juan Fernando |
| collection | MIT |
| description | Rising operating costs and environmental pressures are compelling industrial companies to reduce energy consumption without affecting output. Although various tools to identify energy reduction opportunities exist, they often fall short, being overly theoretical, too generic, or primarily focused on capital-intensive initiatives. Consequently, companies frequently end up relying on energy audits and benchmarks that yield minimal practical reductions. This thesis introduces a methodology designed to identify and implement operational changes that lead to energy reductions in industrial settings. By integrating data-driven analytics with continuous improvement principles, this methodology is able to uncover tangible operational improvements without substantial capital expenditure. Central to the proposed methodology is the identification of the core physical and operational principles of the system being analyzed to then develop a theoretical ideal operation against which to compare the current operation. This thesis also aims to describe the application of this framework at the pre-heating furnaces of Aluminum Duffel, an aluminum rolling mill in Duffel, Belgium, where it proved successful in reducing energy consumption by 23% within six months. |
| first_indexed | 2024-09-23T15:02:11Z |
| format | Thesis |
| id | mit-1721.1/155994 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:02:11Z |
| publishDate | 2024 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1559942024-08-13T03:11:57Z A Data Driven Approach to Uncovering Energy Consumption Reduction Opportunities Within Industrial Operations Correa Núñez, Juan Fernando Willems, Sean Hardt, David Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management Rising operating costs and environmental pressures are compelling industrial companies to reduce energy consumption without affecting output. Although various tools to identify energy reduction opportunities exist, they often fall short, being overly theoretical, too generic, or primarily focused on capital-intensive initiatives. Consequently, companies frequently end up relying on energy audits and benchmarks that yield minimal practical reductions. This thesis introduces a methodology designed to identify and implement operational changes that lead to energy reductions in industrial settings. By integrating data-driven analytics with continuous improvement principles, this methodology is able to uncover tangible operational improvements without substantial capital expenditure. Central to the proposed methodology is the identification of the core physical and operational principles of the system being analyzed to then develop a theoretical ideal operation against which to compare the current operation. This thesis also aims to describe the application of this framework at the pre-heating furnaces of Aluminum Duffel, an aluminum rolling mill in Duffel, Belgium, where it proved successful in reducing energy consumption by 23% within six months. M.B.A. S.M. 2024-08-12T14:13:54Z 2024-08-12T14:13:54Z 2024-05 2024-06-25T18:10:50.769Z Thesis https://hdl.handle.net/1721.1/155994 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Correa Núñez, Juan Fernando A Data Driven Approach to Uncovering Energy Consumption Reduction Opportunities Within Industrial Operations |
| title | A Data Driven Approach to Uncovering Energy Consumption
Reduction Opportunities Within Industrial Operations |
| title_full | A Data Driven Approach to Uncovering Energy Consumption
Reduction Opportunities Within Industrial Operations |
| title_fullStr | A Data Driven Approach to Uncovering Energy Consumption
Reduction Opportunities Within Industrial Operations |
| title_full_unstemmed | A Data Driven Approach to Uncovering Energy Consumption
Reduction Opportunities Within Industrial Operations |
| title_short | A Data Driven Approach to Uncovering Energy Consumption
Reduction Opportunities Within Industrial Operations |
| title_sort | data driven approach to uncovering energy consumption reduction opportunities within industrial operations |
| url | https://hdl.handle.net/1721.1/155994 |
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