Joint Command and Control Versus Integrated Energy Systems: A Comparative Analysis Based on a Quantity–Quality–Spatiotemporal Model.
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| Title: | Joint Command and Control Versus Integrated Energy Systems: A Comparative Analysis Based on a Quantity–Quality–Spatiotemporal Model. |
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| Authors: | Liu, Wenguo1 (AUTHOR), Liu, Yiyu2 (AUTHOR), Zhong, Wei1,3 (AUTHOR), Feng, Yanhao3,4 (AUTHOR), Wang, Liteng4,5 (AUTHOR), Qiu, Tianyue3,6 (AUTHOR), Wu, Yanling1,3 (AUTHOR), Tian, Xingtao2,5 (AUTHOR), Lin, Xueru2,3,6 (AUTHOR), Li, Jiaze3,4 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 9, p2094. 26p. |
| Subject Terms: | *Exergy, *Hybrid power systems, *Energy consumption |
| Abstract: | As modern energy systems become increasingly complex and multi-source integrated, efficient coordination between diverse energy carriers and dynamic demand is essential. This study identifies a structural parallel between integrated energy system (IES) scheduling and the weapon-target assignment (WTA) problem in joint command and control, and proposes a quantity–quality–spatiotemporal (QQST) framework to model multi-dimensional supply–demand matching. The QQST framework formulates scheduling as a coupled optimization problem integrating quantity balance, energy quality (exergy), spatial distribution, and temporal dynamics. A real-world industrial IES case, involving 60 textile enterprises and a 62 km steam network, is used for validation. The proposed model is benchmarked against a conventional mixed-integer linear programming-based scheduling approach under identical system configurations. Results show that QQST improves overall exergy efficiency by 8.4% and reduces energy quality mismatch by 18.2%, as measured by an exergy-based index. Sensitivity analysis under varying load conditions further confirms the robustness of the approach. These findings demonstrate that the QQST framework provides a structured and effective methodology for enhancing multi-dimensional coordination in complex energy systems. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | As modern energy systems become increasingly complex and multi-source integrated, efficient coordination between diverse energy carriers and dynamic demand is essential. This study identifies a structural parallel between integrated energy system (IES) scheduling and the weapon-target assignment (WTA) problem in joint command and control, and proposes a quantity–quality–spatiotemporal (QQST) framework to model multi-dimensional supply–demand matching. The QQST framework formulates scheduling as a coupled optimization problem integrating quantity balance, energy quality (exergy), spatial distribution, and temporal dynamics. A real-world industrial IES case, involving 60 textile enterprises and a 62 km steam network, is used for validation. The proposed model is benchmarked against a conventional mixed-integer linear programming-based scheduling approach under identical system configurations. Results show that QQST improves overall exergy efficiency by 8.4% and reduces energy quality mismatch by 18.2%, as measured by an exergy-based index. Sensitivity analysis under varying load conditions further confirms the robustness of the approach. These findings demonstrate that the QQST framework provides a structured and effective methodology for enhancing multi-dimensional coordination in complex energy systems. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 19961073 |
| DOI: | 10.3390/en19092094 |
