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), 2023. Published by Science Publishing Group |
Energy Systems, Modeling and Simulation, Multi-Paradigm Modeling, Holistic Simulation, Ontology-Driven Simulation
[1] | Abotah, R., & Daim, T. U. (2017). Towards building a multi perspective policy development framework for transition into renewable energy. Sustainable Energy Technologies and Assessments, 21, 67-88. |
[2] | Ahmed, A., Arthur, C., & Edwards, M. (2010, June). Collapse and pull–down analysis of high voltage electricity transmission towers subjected to cyclonic wind. In IOP conference series: materials science and engineering (Vol. 10, No. 1, p. 012004). IOP Publishing. |
[3] | Ali, S., Yan, Q., Irfan, M., & Fahad, S. (2023). Relating biogas technology and environmental impact assessment: a roadmap towards clean energy for environmental sustainability. Environmental Science and Pollution Research, 1-22. |
[4] | Amega, K., Moumouni, Y., & Lare, Y. A System Dynamics Modelling of a Long-term Residential Electricity Consumption in Lomé, Togo. |
[5] | Andriuškevičius, K., & Štreimikienė, D. (2021). Developments and trends of mergers and acquisitions in the energy industry. Energies, 14(8), 2158. |
[6] | Azhgaliyeva, D., Kapoor, A., & Liu, Y. (2020). Green bonds for financing renewable energy and energy efficiency in South-East Asia: a review of policies. Journal of Sustainable Finance & Investment, 10(2), 113-140. |
[7] | Baloch, Z. A., Tan, Q., Kamran, H. W., Nawaz, M. A., Albashar, G., & Hameed, J. (2021). A multi-perspective assessment approach of renewable energy production: policy perspective analysis. Environment, Development and Sustainability, 1-29. |
[8] | Bariss, U., Bazbauers, G., Blumberga, A., & Blumberga, D. (2017). System dynamics modeling of households' electricity consumption and cost-income ratio: A case study of Latvia. Environmental and Climate Technologies, 20(1), 36-50. |
[9] | Bistline, J. E., & Blanford, G. J. (2021). The role of the power sector in net-zero energy systems. Energy and Climate Change, 2, 100045. |
[10] | Castrejon-Campos, O., Aye, L., & Hui, F. K. P. (2022). Competition, coordination, or institutional change? A multi-perspective analysis of historical electricity transitions in Mexico. Energy Research & Social Science, 84, 102362. |
[11] | de Durana, J. M. G., Barambones, O., Kremers, E., & Varga, L. (2014). Agent based modeling of energy networks. Energy Conversion and Management, 82, 308-319. |
[12] | Deenapanray, P. N., & Bassi, A. M. (2015). System dynamics modelling of the power sector in mauritius. Environmental and climate technologies, 16(1), 20-35. |
[13] | Djitog, I., Aliyu, H. O., & Traoré, M. K. (2017). Multi-Perspective Modeling of Healthcare Systems. International Journal of Privacy and Health Information Management (IJPHIM), 5(2), 1-20. |
[14] | Djitog, I., Aliyu, H. O., & Traoré, M. K. (2018). A model-driven framework for multi-paradigm modeling and holistic simulation of healthcare systems. Simulation, 94(3), 235-257. |
[15] | Economidou, M., Todeschi, V., Bertoldi, P., D'Agostino, D., Zangheri, P., & Castellazzi, L. (2020). Review of 50 years of EU energy efficiency policies for buildings. Energy and Buildings, 225, 110322. |
[16] | Frank, U. (2014). Multi-perspective enterprise modeling: foundational concepts, prospects and future research challenges. Software & Systems Modeling, 13, 941-962. |
[17] | Franke, S., Meixensberger, J., & Neumuth, T. (2015). Multi-perspective workflow modeling for online surgical situation models. Journal of biomedical informatics, 54, 158-166. |
[18] | Gholipour, R., Breyer, C., & Sheikhzadeh, G. (2021). Multi-perspective analysis of renewable energy transition: A review. Renewable and Sustainable Energy Reviews, 138, 110617. |
[19] | Gómez Sánchez, M., Macia, Y. M., Fernández Gil, A., Castro, C., Nuñez González, S. M., & Pedrera Yanes, J. (2020). A mathematical model for the optimization of renewable energy systems. Mathematics, 9(1), 39. |
[20] | Gourlis, G., Kovacic, I. (2022). A Holistic Digital Twin Simulation Framework For Industrial Facilities: Bim-based Data Acquisition For Building Energy Modeling. Front. Built Environ., (8). https://doi.org/10.3389/fbuil.2022.918821 |
[21] | Granado, P., Nieuwkoop, R., Kardakos, E., Schaffner, C. (2018). Modelling the Energy Transition: A Nexus Of Energy System And Economic Models. Energy Strategy Reviews, (20), 229-235. https://doi.org/10.1016/j.esr.2018.03.004 |
[22] | Grigoryev, I. (2015). AnyLogic 7 in three days. A quick course in simulation modeling, 2. |
[23] | Hojnik, J., Ruzzier, M., Fabri, S., & Klopčič, A. L. (2021). What you give is what you get: Willingness to pay for green energy. Renewable Energy, 174, 733-746. |
[24] | Irfan, M., Elavarasan, R. M., Hao, Y., Feng, M., & Sailan, D. (2021). An assessment of consumers’ willingness to utilize solar energy in China: End-users’ perspective. Journal of Cleaner Production, 292, 126008. |
[25] | Izuegbunam, F. I., Ubah, C. B., & Akwukwaegbu, I. O. (2012). Dynamic security assessment of 330kV Nigeria power system. Academic Research International, 3(1), 456. |
[26] | Jahangirian, M., Eldabi, T., Garg, L., Jun, G., Naseer, A., Patel, B., … & Young, T. (2011). A Rapid Review Method For Extremely Large Corpora Of Literature: Applications To the Domains Of Modelling, Simulation, And Management. International Journal of Information Management, 3(31), 234-243. https://doi.org/10.1016/j.ijinfomgt.2010.07.004 |
[27] | Jin, W., Zhang, Z. (2014). From Energy-intensive To Innovation-led Growth: On the Transition Dynamics Of China's Economy. SSRN Journal. https://doi.org/10.2139/ssrn.2533463 |
[28] | Kerr, N., Gouldson, A., & Barrett, J. (2017). The rationale for energy efficiency policy: Assessing the recognition of the multiple benefits of energy efficiency retrofit policy. Energy Policy, 106, 212-221. |
[29] | Killip, G., Fawcett, T., Cooremans, C., Wijns-Craus, W., Subramani, K., & Voswinkel, F. (2019, June). Multiple benefits of energy efficiency at the firm level: a literature review. In eceee Summer Study proceedings. European Council for an Energy Efficient Economy. |
[30] | Laimon, M., Mai, T., Goh, S., & Yusaf, T. (2019). Energy sector development: System dynamics analysis. Applied Sciences, 10(1), 134. |
[31] | Maruf, M. (2019). Sector Coupling In the North Sea Region—a Review On The Energy System Modelling Perspective. Energies, 22(12), 4298. https://doi.org/10.3390/en12224298 |
[32] | Mohsin, M., Phoumin, H., Youn, I. J., & Taghizadeh-Hesary, F. (2021). Enhancing energy and environmental efficiency in the power sectors: a case study of Singapore and China. Journal of Environmental Assessment Policy and Management, 23(03n04), 2250018. |
[33] | Momodu, A. S., Oyebisi, T. O., & Obilade, T. O. (2012). Modelling the Nigeria’s electric power system to evaluate its long-term performance. In Proceedings of the 30th international conference of the system dynamics society (pp. 1-31). |
[34] | Ntebo, N., Mathe, K., & Ayorinde, E. O. (2019). The Impacts of Power Infrastructure Development in the Socio-Economic Situations in Sub-Sahara Africa. In E3S Web of Conferences (Vol. 122, p. 03001). EDP Sciences. |
[35] | Ouedraogo, N. S. (2017). Modeling sustainable long-term electricity supply-demand in Africa. Applied energy, 190, 1047-1067. |
[36] | Paravantis, J. A., Stigka, E., Mihalakakou, G., Michalena, E., Hills, J. M., & Dourmas, V. (2018). Social acceptance of renewable energy projects: A contingent valuation investigation in Western Greece. Renewable Energy, 123, 639-651. |
[37] | Peng, J., Xiao, J., Wen, L., & Zhang, L. (2019). Energy industry investment influences total factor productivity of energy exploitation: A biased technical change analysis. Journal of Cleaner Production, 237, 117847. |
[38] | Pfenninger, S., DeCarolis, J., Hirth, L., Quoilin, S., & Staffell, I. (2017). The importance of open data and software: Is energy research lagging behind?. Energy Policy, 101, 211-215. |
[39] | Quentara, L. T., & Suryani, E. (2017). System Dynamics Development Model for Operations Strategy in Power Generation System through Integrated Transmission and Distribution System. IPTEK Journal of Science, 2(1), 5-10. |
[40] | Quitzow, R., Huenteler, J., & Asmussen, H. (2017). Development trajectories in China’s wind and solar energy industries: How technology-related differences shape the dynamics of industry localization and catching up. Journal of Cleaner Production, 158, 122-133. |
[41] | Reichert, B., Souza, A. (2022). Can the Heston Model Forecast Energy Generation? A Systematic Literature Review. IJEEP, 1(12), 289-295. https://doi.org/10.32479/ijeep.11975 |
[42] | Sarkar, A., & Singh, J. (2010). Financing energy efficiency in developing countries—lessons learned and remaining challenges. Energy Policy, 38(10), 5560-5571. |
[43] | Saturday, E. G., & Okumgba, T. J. (2020). Performance Assessment of Gas Turbine Power Plants. |
[44] | Sisodia, G. S., Sahay, M., & Singh, P. (2016). System dynamics methodology for the energy demand fulfillment in India: A preliminary study. Energy Procedia, 95, 429-434. |
[45] | Streets, D., Bond, T., Carmichael, G., Fernandes, S., Fu, Q., He, D., … & Yarber, K. (2003). An Inventory Of Gaseous and Primary Aerosol Emissions In Asia In The Year 2000. J. Geophys. Res., D21(108). https://doi.org/10.1029/2002jd003093 |
[46] | Subramanian, A. S. R., Gundersen, T., & Adams, T. A. (2018). Modeling and simulation of energy systems: A review. Processes, 6(12), 238. |
[47] | Sun, H., Ikram, M., Mohsin, M., & Abbas, Q. (2021). Energy security and environmental efficiency: evidence from OECD countries. The Singapore Economic Review, 66(02), 489-506. |
[48] | Tanveer, A., Zeng, S., Irfan, M., & Peng, R. (2021). Do perceived risk, perception of self-efficacy, and openness to technology matter for solar PV adoption? An application of the extended theory of planned behavior. Energies, 14(16), 5008. |
[49] | Taylor, R. P., Govindarajalu, C., Levin, J., Meyer, A. S., & Ward, W. A. (2008). Financing energy efficiency: lessons from Brazil, China, India, and beyond. World Bank Publications. |
[50] | Teufel, F., Miller, M., Genoese, M., & Fichtner, W. (2013). Review of System Dynamics models for electricity market simulations. |
[51] | Traoré, M. K. (2019). Multi-Perspective Modeling and Holistic Simulation. Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy, 483. |
[52] | Traoré, M. K., Maïga, O., Traoré, M., Koné, Y., Maïga, O., & Traoré, K. M. (2020, September). Application of multi-perspective modeling and holistic simulation to Urban Transportation Systems. In The 32nd European Modeling & Simulation Symposium (pp. 93-102). CAL-TEK srl. |
[53] | Traoré, M. K., Zacharewicz, G., Duboz, R., & Zeigler, B. (2018). Modeling and simulation framework for value-based healthcare systems. SIMULATION, 0037549718776765. |
[54] | Verwiebe, P., Seim, S., Burges, S., Schulz, L., Müller-Kirchenbauer, J. (2021). Modeling Energy Demand—a Systematic Literature Review. Energies, 23(14), 7859. https://doi.org/10.3390/en14237859 |
[55] | Wang, Y., & Zhao, L. (2019). Eliciting user requirements for e-collaboration systems: a proposal for a multi-perspective modeling approach. Requirements Engineering, 24, 205-229. |
[56] | Weigel, P., Viebahn, P., Fischedick, M. (2022). Holistic Evaluation of Aircraft Detection Lighting Systems For Wind Turbines In Germany Using a Multi-method Evaluation Framework. Front. Energy Res., (10). https://doi.org/10.3389/fenrg.2022.984003 |
[57] | NERC, 2023. https://nerc.gov.ng/index.php/home/nesi/403-generation# (accessed 24 July 2023). |
[58] | Zeigler B. P. (1976). Theory of Modeling and Simulation. Wiley Interscience. |
[59] | Zeigler, B. P., Praehofer, H., & Kim, T. G. (2000). Theory of modeling and simulation. Academic press. |
[60] | Zhang, H., Hewage, K., Karunathilake, H., Feng, H., & Sadiq, R. (2021). Research on policy strategies for implementing energy retrofits in the residential buildings. Journal of Building Engineering, 43, 103161. |
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
@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 -