An Optimization Framework for Low-Carbon Oriented Integrated Energy System Management in Commercial Building under Electric Vehicle Demand Response

As the carbon emissions of commercial buildings are attracting considerable attention, the integrated energy system (IES) has become a promising low-carbon method in response. In this paper, an optimization framework for low-carbon oriented integrated energy system management under electric vehicles (EV) demand response is proposed. After analyzing the charging behavior, EV charging demand is simulated. Then, the low-carbon integrated energy system model is proposed with the optimization framework considering carbon reduction. Subsequently the objective function containing carbon emission is obtained for the whole operation optimization. The results of the studied case show that the optimization framework proposed can reduce the carbon emission greatly as well as moderate economic cost, which declined because of the revenue from charging demand response. In general, the optimization of low-carbon oriented IES in commercial buildings is feasible.

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Operation Optimization of Regional Integrated Energy System Considering the Responsibility of Renewable Energy Consumption and Carbon Emission Trading

Electronics ◽

10.3390/electronics10212677 ◽

2021 ◽

Vol 10 (21) ◽

pp. 2677

Author(s):

Feng Li ◽

Shirong Lu ◽

Chunwei Cao ◽

Jiang Feng

Keyword(s):

Renewable Energy ◽

Energy Consumption ◽

Carbon Emission ◽

Emission Trading ◽

Energy System ◽

Low Carbon ◽

Renewable Energy Consumption ◽

Operation Optimization ◽

Integrated Energy System ◽

Carbon Emission Trading

To “bring carbon emissions to a peak by 2030 and to be carbon-neutral by 2060”, the role of renewable energy consumption and carbon emission trading are promoted. As an important energy consumer of regional energy system, it is necessary for integrated energy system to ensure the low-carbon economic operation of the system. Combined with the responsibility of renewable energy consumption, green certificate trading mechanism, carbon emission rights trading, and China Certified Emission Reduction (CCER), a regional integrated energy system operation optimization model was proposed. The model aims to minimize the total cost of the system, which included with electric bus, thermal bus, and cold bus. Setting different scenarios for the given example, the results show that the optimized model could effectively reduce the operating costs of the system. Moreover, the results also provide an effective reference for the system’s economic and low-carbon operation.

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Research on complex integrated energy planning and operation optimization

MATEC Web of Conferences ◽

10.1051/matecconf/202133605025 ◽

2021 ◽

Vol 336 ◽

pp. 05025

Author(s):

Zhou Wen ◽

Liang Meng ◽

Zhengfu Yang ◽

Zhibin Liu ◽

Yajing Liu

Keyword(s):

Energy System ◽

Integrated System ◽

Energy Planning ◽

Utilization Rate ◽

Stable Operation ◽

Low Carbon ◽

Energy System Model ◽

Integrated Energy System ◽

Scheduling Method ◽

The Stability

The safe and stable operation of the energy system is the top priority of the world in the industrial field. The energy integrated system optimizes the system through multiple channels and cascade utilization of energy, which greatly improves the utilization rate of energy and provides a convenient way for the development of low-carbon society. In this paper, the composite integrated energy system model is constructed through the analysis of the structure of the integrated energy system. On this basis, a coordinated optimal scheduling method for integrated energy system with multiple energy stations is proposed, which takes the system operation economy as the goal. The case simulation results show that the coordinated operation of energy stations can greatly improve the stability and economy of the hybrid integrated energy system.

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An optimized demand-response operation method of regional integrated energy system considering 5G base station energy storage

Journal of Physics Conference Series ◽

10.1088/1742-6596/2121/1/012007 ◽

2021 ◽

Vol 2121 (1) ◽

pp. 012007

Author(s):

Yunli Yue ◽

Beibei Sun ◽

Yiming Xue ◽

Jianmin Ding ◽

kerui Liang ◽

...

Keyword(s):

Energy Storage ◽

Wind Power ◽

Demand Response ◽

Energy System ◽

Optimization Method ◽

Base Station ◽

Low Carbon ◽

Side Peak ◽

Operation Method ◽

Integrated Energy System

Abstract The scheduling technology of regional integrated energy system is one of the key technologies to realize carbon neutralization by utilizing wind-power. Aiming at the optimal scheduling problem of regional electrothermal integrated energy system considering wind-power utilization and load side energy consumption, this paper proposes an optimized demand-response operation method of regional integrated energy system considering 5G base station energy storage. The regional integrated energy system of load side demand response is constructed based on the comprehensive consideration of technical and economic factors such as wind-power utilization and economic costs and load side peak valley difference. Finally, a two-layer particle swarm optimization method is proposed to solve the model. The experimental results show that the proposed method can effectively achieve wind-power utilization, economic dispatch and reduce the peak valley difference through load side demand response, which can improve the economic efficiency, environmental protection and low-carbon operation of regional integrated energy system.

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Optimal Planning Method of Integrated Energy System Considering Carbon Cost from the Perspective of the Whole Life Cycle

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/897/1/012021 ◽

2021 ◽

Vol 897 (1) ◽

pp. 012021

Author(s):

Bin Bian ◽

Zhihuan Du ◽

Kui Zhou ◽

Tao Huang ◽

Fengbo Lv

Keyword(s):

Life Cycle ◽

Carbon Emissions ◽

Carbon Dioxide Emissions ◽

Carbon Emission ◽

Evaluation Method ◽

Energy System ◽

Emission Model ◽

Low Carbon ◽

Integrated Energy System ◽

Whole Life Cycle

Abstract China commits its goal of peak carbon dioxide emissions before 2030 and achieving carbon neutrality before 2060. The integrated energy system (IES) is one of the critical approaches to achieving the commitments. While the prevailing evaluation method for calculating the carbon emissions of IES neglected parts of factors influence, the result could not reflect the carbon emissions comprehensively. Considering the insufficiency above, in this paper, the evaluation method of carbon emission based on the whole life cycle of IES is proposed. First, based on the IES energy hub model, a typical park’s carbon emission model has been established. Then, the carbon emission coefficients of energy and equipment in production, transportation and operation are analysed, respectively. Hence, a low-carbon operation optimisation model of the IES is proposed. Later, with the lowest annual carbon emission of the integrated energy system as the optimisation target, the IES’s optimal carbon emission allocation and operation plan are proposed, based on the balance between energy supply and demand in the process of energy and equipment use and operation. As a result, the carbon emission of the IES of the park reduces effectively.

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Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽

10.3390/en14092539 ◽

2021 ◽

Vol 14 (9) ◽

pp. 2539

Author(s):

Zhengjie Li ◽

Zhisheng Zhang

Keyword(s):

Wind Power ◽

Demand Response ◽

Solar Power ◽

Load Forecasting ◽

Energy System ◽

Optimal Scheduling ◽

Scheduling Scheme ◽

Load Power ◽

Integrated Energy System ◽

Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

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