District heating distribution grid costs: a comparison of two approaches

Abstract

Since the introduction of the effective width concept for the estimation of the linear heat density, it has been frequently used by researchers to calculate district heating distribution grid costs in pre-feasibility phases. Some researchers however, still prefer using a detailed modelling approach to get reliable results. This paper aims at highlighting advantages, disadvantages and challenges of using effective width concept for calculation of district heating distribution grid costs in comparison to a detailed, optimisation-based modelling approach such as DHMIN. The outcomes of this paper reveal that although there are differences in obtained indicators such as trench length or distribution gird costs, both approaches deliver very similar patterns in different areas with various heat demand densities and plot ratios. Furthermore, it was revealed that for getting reliable results for a given case study, the input parameters and cost components should always be tuned to that case study regardless of the approach that is used.

Identifying future district heating potentials in Germany: a study using empirical insights and distribution cost analysis

“…The results of this paper are in line with the literature, finding that heat density is an important factor for DH installation and building renovation could lead to higher distribution capital costs [2,10,11,13,15]. Comparing the capital costs to Persson et al, 2021 [11], we observe a similar slope of the cost curves with expectably lower costs of up to 50%, as we do not consider the service pipe infrastructure in the costs.…”

Sustainable Development of Energy, Water and Environmental Systems and Smart Energy Systems

“…Fallahnejad et al [14] investigate the differences in applying two distinct district heating system assessment approaches -the effective width approach versus a more detailed optimisation-based approach with the aim of identifying challenges from using the two approaches. Results from the two are to some extent similar, so a main determinant for the decision on approach is the data availability, where the former requires less data.…”