Two-stage robust stochastic scheduling for energy recovery in coal mine integrated energy system

Huang, Hongxu; Liang, Rui; Lv, Chaoxian; Lu, Mengtian; Gong, Dunwei; Yin, Shulin

doi:10.1016/j.apenergy.2021.116759

Cited by 27 publications

(8 citation statements)

References 29 publications

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“…Stochastic distributions, particularly Gaussian ones with predefined parameters and intervals with known upper and lower limits, are the two main methods for describing the randomness of predictions on renewable sources and loads. Currently, to solve RIES dispatching with source-load uncertainty, the main methods are stochastic optimization [30,31] , robust optimization [32,33] , and interval optimization [34,35] . Stochastic-based uncertainty expression and optimization are very difficult in obtaining the real distribution parameters.…”

Section: Comentioning

confidence: 99%

Dispatch of a Coal Mine-Integrated Energy System: Optimization Model with Interval Variables and Lower Carbon Emission

Hu,

Sun,

Zeng

et al. 2024

Tsinghua Sci. Technol.

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In the coal mining process, a large amount of Coal Mine-Associated energy (CMAE), such as coal mine methane and underground wastewater, is produced. Research on the modeling and optimization dispatching of a Coal Mine-Integrated Energy System (CMIES) with CMAE effectively saves energy and reduces carbon pollution. CMAE has great uncertainties owing to the affections of the hydrogeology conditions and mining schedules. In addition, thermal loads have high comfort requirements in mines, which brings great challenges to the optimization dispatching of CMIESs. Therefore, this paper studies the architecture and solution of CMIESs with a flexible thermal load and source-load uncertainty. First, to effectively improve the electric and thermal conversion efficiency, the architecture of CMIES, including a concentrating solar power station, is built. Second, for the scheduling model with bilateral uncertainty, the interval representation method with interval variables is proposed, and a multi-objective scheduling model based on the interval variables and flexible thermal load is constructed. Finally, we propose a solution method for the model with interval variables.A case study is conducted to demonstrate the performance of our model and method for lowering carbon emissions and cost.

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Section: Comentioning

confidence: 99%

Dispatch of a Coal Mine-Integrated Energy System: Optimization Model with Interval Variables and Lower Carbon Emission

Hu,

Sun,

Zeng

et al. 2024

Tsinghua Sci. Technol.

Self Cite

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“…Influenced by many factors such as production process and geological conditions, mine derived energy has a certain degree of fluctuation and randomness. 7 In the actual operation of MIES, the energy supply characteristics lead to the variable working conditions of energy equipment, and the efficiency of equipment is closely related to working conditions. Therefore, this paper considers the dynamic energy efficiency model of energy conversion equipment under variable working conditions.…”

Section: Utilization Equipment Under Variable Working Conditionsmentioning

confidence: 99%

“…Based on the above characteristics, modeling and optimal scheduling of MIES is of great significance. [5][6][7] Hu et al 5 proposed a coal MIES structure, which combines mine derived energy with a flexible load. Considering the economic cost of the system, carbon trading cost of environmental protection, and user dissatisfaction cost after flexible load scheduling, a multiobjective scheduling model of the system is established.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment

Zhang

Sun

et al. 2022

Energy Science & Engineering

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Mine integrated energy system (MIES) promotes the utilization of derived energy, multienergy complementation, and ecological protection, but the variable condition characteristics of key energy conversion equipment bring challenges to its operation optimization. Focused on this, the paper studies a MIES operation optimization model with integrated demand response under variable conditions of typical equipment. First, analyzing the coupling utilization mode of mine energy flow, a MIES operation structure including mine derived-energy utilization and integrated demand response is constructed. Second, considering the supply characteristics of different derived energy sources, the variable condition dynamic energy efficiency model of typical energy conversion equipment is established. Furthermore, considering the flexible and controllable characteristics of multienergy loads, an integrated demand response mechanism including electric and thermal flexible loads is formed. Finally, the operation optimization model of MIES is constructed with the goal of the lowest operating costs of the system. The GUROBI solver is applied to solve the model, and experimental results under different operating scenarios show that the established MIES operation optimization model effectively improves the economy of system operation.

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“…Xu et al 12 proposed a dynamic multiobjective mixed 0–1 model based on ecological coal mining to reduce pollutant emissions and energy consumption during coal mining. Huang et al 13 proposed a two‐stage robust stochastic optimization method, considering uncertainty and energy recovery, to optimize the operation model of integrated energy systems for coal mines. Hu et al 14 solved the multiobjective dispatch model for coal mine integrated energy system based on the enhanced evolutionary multiobjective algorithm.…”

Section: Introductionmentioning

confidence: 99%

Simulation of carbon emission for mining‐separating‐backfilling integrated coal mines based on system dynamics

Long¹,

Wang

Guo³

2022

Energy Science & Engineering

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Clarifying the influencing factors of energy consumption in underground production processes of coal mine is the premise and foundation for the coal mining industry to control the energy consumption and intensity to achieve the goal of carbon peak and carbon neutrality. This paper aims to investigate and compare the differences in energy consumption and carbon emissions between a mining-separating-backfilling integrated coal mine (MSBICM) and a traditional coal mine and explore the effects of the main production links underground on carbon emission intensity in coal mines. Hence, taking an MSBICM in Henan province as an example, this study constructed an energy consumption and carbon emission model of the mine using system dynamics (SD) method. Based on this model, the energy consumption of the main production logistics system and auxiliary production system in MSBICM was simulated and analyzed. In addition, this study made a comparative analysis of the energy consumption of the different production links in the two types of coal mines. The results showed that: (1) the comprehensive mechanized coal mining with solid filling system and ventilation system were the subsystems with the highest and lowest energy consumption in MSBICM respectively. (2) The influence rates of raw coal mining, gangue filling, coal-gangue separating, and material transportation on carbon emission intensity in coal mine were 1.09%, 1.34%, 1.09%, and 5.13%, respectively. (3) Under the same production and filling targets, energy consumption of underground transportation systems in MSBICM was found to be 336.66 tons of standard coal less than that in traditional coal mine. This study has helped clarify the complex relationships among the factors that influence energy consumption in coal mines and provided a reference for implementing dual control of energy consumption to promote lowcarbon mining of coal resources.

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Two-stage robust stochastic scheduling for energy recovery in coal mine integrated energy system

Cited by 27 publications

References 29 publications

Dispatch of a Coal Mine-Integrated Energy System: Optimization Model with Interval Variables and Lower Carbon Emission

Dispatch of a Coal Mine-Integrated Energy System: Optimization Model with Interval Variables and Lower Carbon Emission

Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment

Simulation of carbon emission for mining‐separating‐backfilling integrated coal mines based on system dynamics

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