Analytical Dynamic Energy-Carbon Flow Model and Application in Cost Allocation for Integrated Energy Systems
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Abstract:
Energy indicators on the demand side, such as consumers' total carbon emissions and energy costs, nodal energy carbon emission intensity (CEI) and energy price (EP), describe the impact of consumers' energy consumption on system carbon emissions and costs, helping consumers with energy consumption decisions. In this paper, an analytical dynamic energy-carbon flow model of integrated energy system (IES) is proposed, which allocates energy and carbon emissions from supply side to demand side. This method is also applied to cost allocation, resulting in accurate energy indicators for consumers. Firstly, a dynamic energy flow model for an IES is established based on the superposition characteristics of subsystems. Then, a dynamic energy flow tracing (DEFT) method that considers pipeline packing, transmission loss and time delay is proposed first to estimate an analytical energy relationship between sources and loads. Combined with the CEI of sources, a dynamic carbon flow model is proposed to allocate the carbon emissions and form CEI on demand side. We also apply this method to cost allocation, providing consumers with total energy costs and real-time EP. The proposed methodology is validated in a modified IES in Jilin Province, China, and the information conveyed by the energy indicators is completely analyzed.Keywords:
Energy Flow
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This paper studied the coupling model of material flow and energy flow in the production process of lead smelting enterprises, and established the mathematical model for material flow and energy flow to resolve optimization problems. From the point of energy flow, the paper analyzed three kinds of energy flow changes which have an effect on the enterprise products. Through calculation and analysis, it has been found that there is 38.42% energy-saving potential in this enterprise. Separately from the material flow and energy flow angle, the paper put forward five aspects suggestions to reduce the energy consumption of the enterprise products.
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Abstract Multiple energy system could meet the needs of the user through different energy conversion ways. So if the load level is constant, the operating state of energy system could be different to meet different demand. By the analysis of energy flow of system, it can be known that the degrees of freedom come from the dispatch point of energy flow. Therefore, the dispatch factors and the input energy flows could be considered as the independent variables, and make a comprehensive evaluation criterion which considered the energy efficiency, economy and emission, as the optimization goal. The operation of the multi-energy flow system has been optimized. Through case analysis, the proposed optimal energy flow operation strategy was verified and analysed.
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In order to show the significance of Distributed Generation (DG) based on renewable energy and energy storage units in Regional Integrated Energy System (RIES), a model of RIES including power system, gas network system, and heating network system is presented in this paper.Furthermore, an intelligent recognition energy hub model considering energy utilization priority is used to describe the coupling of multi-energy.Finally, a case study of three scenarios is employed to examine the feasibility of the proposed model.
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Abstract Energy routers have become a hot topic in recent years as a key link to realize the wide interconnection of multiple energy sources in the energy Internet. Firstly, this paper analyzed the operation mode of the multi-energy energy router and summarized its typical structure. Then based on the interaction between the energy router and the grid, the energy flow was analyzed from the energy router to the grid and the grid to the energy router. Finally, the energy interaction of the above two aspects was simulated, and the conclusion that the multi-energy energy router can realize various energy interactions in the energy Internet is obtained.
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