Energy has become a panacea for a rapid development of any modern human society. Non-renewable energy generation systems are put under tremendous pressure to transition toward a more sustainable energy that reduces impact on climate change while enhancing energy efficiency and securing energy supply. Energy systems however, exhibit complex dynamics leading in most cases to reductionist approach studies that mainly examine the components of the system in isolation. This paper proposes a multi-perspective modeling of the ES through a structural adjustment of its components using multiple formalisms as follows: (i) an ontology was built which is, a formal specification of energy simulation knowledge, based on agreed upon concepts and their relationships as found in the literature review of the energy simulation domain, (ii) a simulation framework was proposed around the identified perspectives that are most often discussed in findings of energy simulation. Each perspective is specified in a fitting formalism and represents a family of models with specific objectives that drive simulation studies of the energy sector, and (iii) an integration mechanism was developed to unify the isolated perspectives into an overall holistic model such that parameters are mutually influenced by one another in a live simulation for a comprehensive study of the energy sector. Results showed that power supply failure caused by persistent tripping of transmission line was due to a sudden increase in generation power plants. The failure was successfully re-adjusted through perspectives integration during live simulation to fit with the maximum wheeling capacity of the power transmission grid component. The updated values of the transmission parameters have also matched with the expected outputs of the consumption component parameters at the receiving end. Hence, the study has produced closer and efficient results for long-term performance evaluations of the energy demand fulfilment.
| Published in | International Journal of Energy and Power Engineering (Volume 12, Issue 6) |
| DOI | 10.11648/j.ijepe.20231206.12 |
| Page(s) | 84-99 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Energy Systems, Modeling and Simulation, Multi-Paradigm Modeling, Holistic Simulation, Ontology-Driven Simulation
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APA Style
Djitog, I., Aliyu, H. O., Koné, Y. (2023). A Multi-Perspective Modeling and Holistic Simulation Framework for the Energy Sector. International Journal of Energy and Power Engineering, 12(6), 84-99. https://doi.org/10.11648/j.ijepe.20231206.12
ACS Style
Djitog, I.; Aliyu, H. O.; Koné, Y. A Multi-Perspective Modeling and Holistic Simulation Framework for the Energy Sector. Int. J. Energy Power Eng. 2023, 12(6), 84-99. doi: 10.11648/j.ijepe.20231206.12
AMA Style
Djitog I, Aliyu HO, Koné Y. A Multi-Perspective Modeling and Holistic Simulation Framework for the Energy Sector. Int J Energy Power Eng. 2023;12(6):84-99. doi: 10.11648/j.ijepe.20231206.12
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Download@article{10.11648/j.ijepe.20231206.12,
author = {Ignace Djitog and Hamzat Olanrewaju Aliyu and Youssouf Koné},
title = {A Multi-Perspective Modeling and Holistic Simulation Framework for the Energy Sector},
journal = {International Journal of Energy and Power Engineering},
volume = {12},
number = {6},
pages = {84-99},
doi = {10.11648/j.ijepe.20231206.12},
url = {https://doi.org/10.11648/j.ijepe.20231206.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20231206.12},
abstract = {Energy has become a panacea for a rapid development of any modern human society. Non-renewable energy generation systems are put under tremendous pressure to transition toward a more sustainable energy that reduces impact on climate change while enhancing energy efficiency and securing energy supply. Energy systems however, exhibit complex dynamics leading in most cases to reductionist approach studies that mainly examine the components of the system in isolation. This paper proposes a multi-perspective modeling of the ES through a structural adjustment of its components using multiple formalisms as follows: (i) an ontology was built which is, a formal specification of energy simulation knowledge, based on agreed upon concepts and their relationships as found in the literature review of the energy simulation domain, (ii) a simulation framework was proposed around the identified perspectives that are most often discussed in findings of energy simulation. Each perspective is specified in a fitting formalism and represents a family of models with specific objectives that drive simulation studies of the energy sector, and (iii) an integration mechanism was developed to unify the isolated perspectives into an overall holistic model such that parameters are mutually influenced by one another in a live simulation for a comprehensive study of the energy sector. Results showed that power supply failure caused by persistent tripping of transmission line was due to a sudden increase in generation power plants. The failure was successfully re-adjusted through perspectives integration during live simulation to fit with the maximum wheeling capacity of the power transmission grid component. The updated values of the transmission parameters have also matched with the expected outputs of the consumption component parameters at the receiving end. Hence, the study has produced closer and efficient results for long-term performance evaluations of the energy demand fulfilment.
},
year = {2023}
}
TY - JOUR T1 - A Multi-Perspective Modeling and Holistic Simulation Framework for the Energy Sector AU - Ignace Djitog AU - Hamzat Olanrewaju Aliyu AU - Youssouf Koné Y1 - 2023/12/14 PY - 2023 N1 - https://doi.org/10.11648/j.ijepe.20231206.12 DO - 10.11648/j.ijepe.20231206.12 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 84 EP - 99 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20231206.12 AB - Energy has become a panacea for a rapid development of any modern human society. Non-renewable energy generation systems are put under tremendous pressure to transition toward a more sustainable energy that reduces impact on climate change while enhancing energy efficiency and securing energy supply. Energy systems however, exhibit complex dynamics leading in most cases to reductionist approach studies that mainly examine the components of the system in isolation. This paper proposes a multi-perspective modeling of the ES through a structural adjustment of its components using multiple formalisms as follows: (i) an ontology was built which is, a formal specification of energy simulation knowledge, based on agreed upon concepts and their relationships as found in the literature review of the energy simulation domain, (ii) a simulation framework was proposed around the identified perspectives that are most often discussed in findings of energy simulation. Each perspective is specified in a fitting formalism and represents a family of models with specific objectives that drive simulation studies of the energy sector, and (iii) an integration mechanism was developed to unify the isolated perspectives into an overall holistic model such that parameters are mutually influenced by one another in a live simulation for a comprehensive study of the energy sector. Results showed that power supply failure caused by persistent tripping of transmission line was due to a sudden increase in generation power plants. The failure was successfully re-adjusted through perspectives integration during live simulation to fit with the maximum wheeling capacity of the power transmission grid component. The updated values of the transmission parameters have also matched with the expected outputs of the consumption component parameters at the receiving end. Hence, the study has produced closer and efficient results for long-term performance evaluations of the energy demand fulfilment. VL - 12 IS - 6 ER -
Department of Computer Science, American University of Nigeria, Yola, Nigeria
Department of Information Technology, Federal University of Technology Minna, Minna, Nigeria
Institut Universitaire de Formation Professionnelle, University de Ségou, Ségou, Mali
