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Jiamin Yuan
College of Mechanical and Energy Engineering, Tongji University, Shanghai 201804, China

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Journal article
Published: 17 August 2021 in Applied Sciences
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In the existing station network planning of distributed energy systems (DESs), most of them determined the location of energy station in the alternative station site, there was a lack of a mature energy station location optimization method, and the factor load was not considered in the division of energy supply scope. This paper aimed to propose an optimal site approach for distributed energy stations based on Voronoi diagram, in which all possible candidates of energy station locations were considered. The candidate sites could be any point in the whole area. Simultaneously, after analyzing the limitations of the traditional energy supply partition method, we proposed a new energy supply partition optimization method, relative-load-distance. It was found that the annual cost of the whole system was significantly reduced by 1%, although the cost of the network in the optimized supply area was increased, compared with the supply area obtained by the partition method based on the principle of minimum distance. In addition, by adjusting the coefficient K in the relative-load-distance, the effectiveness of the optimization method in DES planning was verified.

ACS Style

Jiazheng Wu; Jiamin Yuan; Yingjun Ruan; Fanyue Qian; Hua Meng. Optimal Planning for Energy Stations and Networks in Distributed Energy Systems Based on Voronoi Diagram and Load Characteristics. Applied Sciences 2021, 11, 7526 .

AMA Style

Jiazheng Wu, Jiamin Yuan, Yingjun Ruan, Fanyue Qian, Hua Meng. Optimal Planning for Energy Stations and Networks in Distributed Energy Systems Based on Voronoi Diagram and Load Characteristics. Applied Sciences. 2021; 11 (16):7526.

Chicago/Turabian Style

Jiazheng Wu; Jiamin Yuan; Yingjun Ruan; Fanyue Qian; Hua Meng. 2021. "Optimal Planning for Energy Stations and Networks in Distributed Energy Systems Based on Voronoi Diagram and Load Characteristics." Applied Sciences 11, no. 16: 7526.

Journal article
Published: 18 February 2021 in Applied Sciences
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This paper proposes a new network topology design method that considers all the road nodes, energy stations and load centers to ensure the distribution of pipes along the road. The traditional graph theory and Prim Minimum Spanning Tree (MST) are used to simplify the map and minimize the length of the pipeline. After analyzing the limitations of the traditional network topology model, Point-to-Point (PTP), we present a new model, Energy Station-to-Load Point (ESLP). The model is optimized by minimum cost, not the shortest path. Finally, Pipe Diameter Grading (PDG) is proposed based on ESLP by solving for the pipe diameter that gives the minimum cost under different load demands in the process of optimization. The network design method is effectively applied in a case, and the results show that the path of the optimized plan is 1.88% longer than that of the pre-optimized plan, but the cost is 2.38% lower. The sensitivity analysis shows that the cost of pipeline construction, project life and electricity price all have an impact on the optimization results, and the cost of pipeline construction is the most significant. The difference between the different classifications of pipelines affects whether PDG is effective or not.

ACS Style

Jiazheng Wu; Hongyun Liu; Yingjun Ruan; Shanshan Wang; Jiamin Yuan; Hui Lu. A Novel Method for Network Design and Optimization of District Energy Systems: Considering Network Topology Planning and Pipe Diameter. Applied Sciences 2021, 11, 1795 .

AMA Style

Jiazheng Wu, Hongyun Liu, Yingjun Ruan, Shanshan Wang, Jiamin Yuan, Hui Lu. A Novel Method for Network Design and Optimization of District Energy Systems: Considering Network Topology Planning and Pipe Diameter. Applied Sciences. 2021; 11 (4):1795.

Chicago/Turabian Style

Jiazheng Wu; Hongyun Liu; Yingjun Ruan; Shanshan Wang; Jiamin Yuan; Hui Lu. 2021. "A Novel Method for Network Design and Optimization of District Energy Systems: Considering Network Topology Planning and Pipe Diameter." Applied Sciences 11, no. 4: 1795.