Abstract
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.
Highlights
The innovations of this paper include: (a) The limitations of the traditional method (Point-to-Point, PTP) of building connection graph are analyzed and an improved one (Energy Station-to-Load Points, ESLP) is proposed. (b) On the basis of ESLP, we propose a novel method of network design and optimization
We propose a Pipe Diameter Grading (PDG) method, which grades different pipe segments according to their relative positions with respects to energy station and load points, and assigns different characteristic pipe diameters so as to realize the transition of edge weights in connected graphs from distance to cost
The three principles of ESLP mentioned in Section 2.2.2 are intended to solve this problem, which is why it is said that “the load point serves as the terminal of the network topology is the basis of PDG”
Summary
Energy development and environmental issues are becoming more and more prominent, and the pressure to improve energy efficiency is mounting [1]. District Energy Systems (DES) are recommended as an effective way to improve energy efficiency and promote the use of renewable energy to maximize the efficiency of different energy supply systems [2]. The design of DES is a sophisticated assignment, which involves the integration and intersecting of different disciplines. The major tasks in DES design are the determination of the location and the capacity of the energy stations, topology planning of energy pipelines, etc. Extensive research efforts have been focused on the development of algorithms to determine the location and capacity of energy stations. The topology planning of energy pipelines has rarely been studied [4,5]
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