Economic Topology Optimization of District Heating Networks using a Pipe Penalization Approach

TL;DR

This paper introduces a novel non-linear topology optimization method for district heating networks that minimizes costs and efficiently determines pipe routing and design, outperforming traditional linear approaches.

Contribution

It presents a pipe penalization approach inspired by density-based topology optimization, enabling scalable, near-discrete pipe design and network topology determination.

Findings

Achieves discrete network topology and near-discrete pipe design.

Outperforms simple post-processing methods in realistic test cases.

Remains scalable for large-scale district heating network applications.

Abstract

In the presented study, a pipe penalization approach for the economic topology optimization of District Heating Networks is proposed, drawing inspiration from density-based topology optimization. For District Heating Networks, the upfront investment is a crucial factor for the rollout of this technology. Today, the pipe routing is usually designed relying on a linearization of the underlying heat transport problem. This study proposes to solve the optimal pipe routing problem as a non-linear topology optimization problem, drawing inspiration from density-based topology optimization. The optimization problem is formulated around a non-linear heat transport model and minimizes a detailed net present value representation of the heating network cost. By relaxing the combinatorial problem of pipe placement, this approach remains scalable for large-scale applications. A discrete network topology and near-discrete pipe design is achieved by using an intermediate pipe penalization strategy. For a realistic test case, the proposed algorithm achieves a discrete network topology and near-discrete pipe design that outperforms simple post-processing steps.