Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS

Lei, Dayong; Zhang, Zhonghui; Wang, Zhaojun; Zhang, Liuyu; Liao, Weijie

doi:10.1016/j.energy.2023.128113

Cited by 34 publications

(5 citation statements)

References 30 publications

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“…Parameters for the CFPS considering oxygen-enriched combustion capture technology can be found in references [22], [23]. Parameters for the improved stepped carbon trading mechanism can be found in references [9], [23], [29]. In the sixth section of this paper, specifically in part D, the values of L and β are set to 0 and 0.9, respectively, indicating neither risk aversion nor active risk pursuit.…”

Section: Results and Analysis Of Optimal Capacity Allocation For The ...mentioning

confidence: 99%

“…This approach may fall short of providing a robust constraint, especially when emissions are high and there is a need for stronger limitations. The stepped carbon price, in comparison to a fixed carbon price, exerts a more robust constraint on carbon emissions while simultaneously considering the economic aspects of planning [9]. Reference [10] introduced the stepped carbon trading mechanism, established a layered calculation model, and proposed an integrated energy system with a low-carbon operation mode.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Capacity Configuration of a Low-Carbon Energy System Considering Carbon Capture Technology and Hydrogen-Diversified Utilization Under Multiple Operational Scenarios

Liu,

Wang,

Wang

et al. 2024

IEEE Access

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To enhance the utilization of concentrated solar power (CSP), and reduce the wind abandonment rate of wind power (WP) and the carbon emissions from the traditional coal-fired unit (CFU), this study introduces oxygen-enriched combustion capture technology to retrofit the conventional CFU, and configures CSP with heat recovery unit (HRU) for participation in heating, along with coupling methanation reactor (MR), high-temperature solid oxide electrolysis cell (SOEC), hydrogen-blended gas cogeneration system, and energy storage units to create a low-carbon energy system (LCES) that includes electricity-heat-gas integration and hydrogen diversified utilization. The system's optimal capacity configuration methodology is also established. Firstly, considering the uncertainties of WP and direct normal irradiance (DNI), as well as their temporal correlations with electrical load (EL), a multi-operational scenarios extraction model is established based on a multi-stage data processing algorithm. Secondly, building upon the probability-based multi-operational scenarios, the conditional value at risk (CVaR) theory is employed to quantify the risks arising from uncertainties. With the objective of minimizing total cost, an LCES optimal capacity configuration model is formulated. Finally, through case study validation, the results indicate that the system, under the scenario of meeting the load demand, can reduce annual carbon emissions to 249,573.31 t, decrease the wind abandonment rate to 1.32%, enhance the CSP utilization rate to over 84%, and provide the basis of quantification for decision-makers with varying risk preferences when addressing capacity configuration issues.INDEX TERMS Multi-operational scenarios, oxygen-enriched combustion capture technology, low-carbon energy system (LCES), conditional value at risk (CVaR), capacity configuration. NOMENCLATUREA. ABBREVIATIONS CSP Concentrated solar power. WP Wind power. CFU Coal-fired unit. HRU Heat recovery unit. MR Methanation reactor. SOEC Solid oxide electrolysis cell. LCES Low-carbon energy system. DNI Direct normal irradiance. EL Electric load. CVaR Conditional value at risk. PCC Post-combustion capture. ASU Air separation unit. CPU Compression purification unit. CSP-HRU Concentrated solar power with heat recovery unit. CFPS Coal-fired power system. HST Hydrogen storage tank. HBGT Hydrogen-blended gas turbine. HBGB Hydrogen-blended gas boiler. HL Heat load.

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Section: Results and Analysis Of Optimal Capacity Allocation For The ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Capacity Configuration of a Low-Carbon Energy System Considering Carbon Capture Technology and Hydrogen-Diversified Utilization Under Multiple Operational Scenarios

Liu,

Wang,

Wang

et al. 2024

IEEE Access

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“…Compared with the traditional carbon emission pricing mechanism, the ladder carbon emission pricing method was adopted to further limit the carbon emissions of the IES. The ladder pricing mechanism divides multiple ranges, and the more carbon emission quotas that need to be purchased, the higher the purchase price of the corresponding range [27,28]. The ladder carbon trading cost can be defined by Formula (11):…”

Section: System Structurementioning

confidence: 99%

Low-Carbon-Oriented Capacity Optimization Method for Electric–Thermal Integrated Energy System Considering Construction Time Sequence and Uncertainty

Wang,

Zhao,

Huang

2024

Processes

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The interdependence of various energy forms and flexible cooperative operation between different units in an integrated energy system (IES) are essential for carbon emission reduction. To address the planning problem of an electric–thermal integrated energy system under low-carbon conditions and to fully consider the low carbon and construction sequence of the integrated energy system, a low-carbon-oriented capacity optimization method for the electric–thermal integrated energy system that considers construction time sequence (CTS) and uncertainty is proposed. A calculation model for the carbon transaction cost under the ladder carbon trading mechanism was constructed, and a multi-stage planning model of the integrated energy system was established with the minimum life cycle cost, considering carbon transaction cost as the objective function, to make the optimal decision on equipment configuration in each planning stage. Finally, a case study was considered to verify the advantages of the proposed capacity optimization method in terms of economy and environmental friendliness through a comparative analysis of different planning cases. Simulation results show that, compared with the scenario of completing planning at the beginning of the life cycle at one time, the proposed low-carbon-oriented capacity optimization method that considers construction time sequence and uncertainty can not only reduce the cost of the integrated energy system, but also help to enhance renewable energy utilization and reduce the system’s carbon emissions; the total cost of phased planning is reduced by 11.91% compared to the total cost of one-time planning at the beginning of the year.

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“…Dual carbon goals have prompted existing research to focus on the low-carbon optimization of multi-microgrids. There are several ways to achieve this: either through the implementation of low-carbon policies, such as carbon trading or carbon trading markets [1][2][3][4][5], or by employing low-carbon technologies, such as the individual or combined use of carbon capture technology, electrolytic hydrogen production technology, and other low-carbon technologies [6][7][8][9][10]. These measures have effectively reduced the carbon emissions of multi-microgrids and have enhanced their environmental friendliness.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Optimization Scheduling of Multi-Microgrids Incorporating Hydrogen-Doped Natural Gas and P2G–CCS Coupling under Carbon Trading and Carbon Emission Constraints

Zhao,

Chen

2024

Energies

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In the context of “dual carbon”, restrictions on carbon emissions have attracted widespread attention from researchers. In order to solve the issue of the insufficient exploration of the synergistic emission reduction effects of various low-carbon policies and technologies applied to multiple microgrids, we propose a multi-microgrid electricity cooperation optimization scheduling strategy based on stepped carbon trading, a hydrogen-doped natural gas system and P2G–CCS coupled operation. Firstly, a multi-energy microgrid model is developed, coupled with hydrogen-doped natural gas system and P2G–CCS, and then carbon trading and a carbon emission restriction mechanism are introduced. Based on this, a model for multi-microgrid electricity cooperation is established. Secondly, design optimization strategies for solving the model are divided into the day-ahead stage and the intraday stage. In the day-ahead stage, an improved alternating direction multiplier method is used to distribute the model to minimize the cooperative costs of multiple microgrids. In the intraday stage, based on the day-ahead scheduling results, an intraday scheduling model is established and a rolling optimization strategy to adjust the output of microgrid equipment and energy purchases is adopted, which reduces the impact of uncertainties in new energy output and load forecasting and improves the economic and low-carbon operation of multiple microgrids. Setting up different scenarios for experimental validation demonstrates the effectiveness of the introduced low-carbon policies and technologies as well as the effectiveness of their synergistic interaction.

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Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS

Cited by 34 publications

References 30 publications

Optimal Capacity Configuration of a Low-Carbon Energy System Considering Carbon Capture Technology and Hydrogen-Diversified Utilization Under Multiple Operational Scenarios

Optimal Capacity Configuration of a Low-Carbon Energy System Considering Carbon Capture Technology and Hydrogen-Diversified Utilization Under Multiple Operational Scenarios

Low-Carbon-Oriented Capacity Optimization Method for Electric–Thermal Integrated Energy System Considering Construction Time Sequence and Uncertainty

Collaborative Optimization Scheduling of Multi-Microgrids Incorporating Hydrogen-Doped Natural Gas and P2G–CCS Coupling under Carbon Trading and Carbon Emission Constraints

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