Volume 43: Energy Transitions toward Carbon Neutrality: Part VI

Dynamic Optimization of Energy Station Layout in District Energy Systems Considering Temporal Load Characteristic Yuhan Zhang,Lun Zhang,Xiaosong Zhang

Abstract

In the design of district energy systems, the optimization of energy station layout plays a pivotal role in catering to decentralized load demands and cost reduction. This research accounts for distinct temporal load distribution characteristics and streamlines the complex spatiotemporal distribution issue of large-scale load systems through scenario partitioning and optimization decomposition. The utilization of DBSCAN clustering method is employed to ascertain the configuration of energy stations and load assignments within each scenario. The overarching objective is to minimize the annual equivalent cost of the system, integrating the shortest path algorithm to refine energy station placements and pipeline layouts. Practical engineering cases validate the effectiveness of this approach. The study amalgamates temporal analysis to dynamically optimize energy station quantity, locations, and pipeline layouts, culminating in heightened economic viability and adaptability in the planning process, ultimately resulting in a comprehensive quantitative analysis of energy station design.

Keywords District Energy, Dynamic Design, DBSCAN Clustering, Shortest Path