Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study
Heavy dependence on traditional fuels as well as connection to a significantly unreliable and inefficient grid (with about 20% energy loss) characterizes the Ethiopian industry. On the contrary, the country has many solar-suited industries for process heat augmentation in the low-to-medium temperatu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2018-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://doi.org/10.1051/e3sconf/20186402001 |
| _version_ | 1818621429655011328 |
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| author | Fitsum Bekele Tilahun Ramchandra Bhandari Menegesha Mamo |
| author_facet | Fitsum Bekele Tilahun Ramchandra Bhandari Menegesha Mamo |
| author_sort | Fitsum Bekele Tilahun |
| collection | DOAJ |
| description | Heavy dependence on traditional fuels as well as connection to a significantly unreliable and inefficient grid (with about 20% energy loss) characterizes the Ethiopian industry. On the contrary, the country has many solar-suited industries for process heat augmentation in the low-to-medium temperature ranges. Thus, if properly designed and operated, solar thermal could give an opportunity for an efficient and cleaner alternative in these industries. This paper presents agent-based modeling (ABM) for an integrated optimization and demand side management (DSM) framework for solar-assisted industrial heating under varying load and weather condition. To demonstrate the validity and practicality of the proposed solution, a case study was conducted on Ethiopian textile industry. A payback period of 5.3 years and solar fraction of 66.7% was identified for an optimized system. Further with the implementation of DSM to guide the production policy of the industry, a 7.5% and 8.4% improvement in payback and solar fraction was achieved. |
| first_indexed | 2024-12-16T18:09:08Z |
| format | Article |
| id | doaj.art-a951baf1bce74bbab43c93dd5c2e7574 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T18:09:08Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-a951baf1bce74bbab43c93dd5c2e75742022-12-21T22:21:49ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01640200110.1051/e3sconf/20186402001e3sconf_icpre2018_02001Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case StudyFitsum Bekele Tilahun0Ramchandra Bhandari1Menegesha Mamo2Renewable Energy Systems, ITT, TH Köln (Cologne University of Applied Science)Renewable Energy Systems, ITT, TH Köln (Cologne University of Applied Science)Electrical & Computer Engineering, Addis Ababa University Institute of Technology (AAIT)Heavy dependence on traditional fuels as well as connection to a significantly unreliable and inefficient grid (with about 20% energy loss) characterizes the Ethiopian industry. On the contrary, the country has many solar-suited industries for process heat augmentation in the low-to-medium temperature ranges. Thus, if properly designed and operated, solar thermal could give an opportunity for an efficient and cleaner alternative in these industries. This paper presents agent-based modeling (ABM) for an integrated optimization and demand side management (DSM) framework for solar-assisted industrial heating under varying load and weather condition. To demonstrate the validity and practicality of the proposed solution, a case study was conducted on Ethiopian textile industry. A payback period of 5.3 years and solar fraction of 66.7% was identified for an optimized system. Further with the implementation of DSM to guide the production policy of the industry, a 7.5% and 8.4% improvement in payback and solar fraction was achieved.https://doi.org/10.1051/e3sconf/20186402001 |
| spellingShingle | Fitsum Bekele Tilahun Ramchandra Bhandari Menegesha Mamo Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study E3S Web of Conferences |
| title | Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study |
| title_full | Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study |
| title_fullStr | Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study |
| title_full_unstemmed | Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study |
| title_short | Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study |
| title_sort | design optimization and demand side management of a solar assisted industrial heating using agent based modelling abm methodology and case study |
| url | https://doi.org/10.1051/e3sconf/20186402001 |
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