A validated method to assess the network length and the heat distribution costs of potential district heating systems in Italy

Dénarié, Alice; Macchi, Samuel; Fattori, Fabrizio; Spirito, Giulia; Motta, Mario; Persson, Urban

doi:10.5278/ijsepm.6322

Cited by 3 publications

(2 citation statements)

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“…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. District heating assessment methods in general is a recurring theme [15][16][17][18][19][20] in this journal, emphasizing the importance of the technology in the transition towards renewable energy-based energy systems.…”

Section: Smart Energy Systems Special Issuementioning

confidence: 99%

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

Østergaard

Johannsen

Duić

et al. 2022

IJSEPM

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This 34th volume of the International Journal of Sustainable Energy Planning and Management includes papers from the 2021 conference on Sustainable Development of Energy, Water and Environmental Systems (SDEWES) held October 10-15, 2021, in Dubrovnik, Croatia as well as the 7th International Conference on Smart Energy Systems held September 21-22 in Copenhagen, Denmark and two normal papers. A focus area of this issue is district heating and district cooling systems, with articles addressing resources for district heating and cooling systems, impacts of having individual district heating metres for consumers and approaches to analysing district heating systems. Another focus area is stakeholder involvement where two groups of researchers focus on stakeholders from an energy island perspective as well as from a positive energy district perspective. Both groups note the importance of factoring in stakeholders when devising transition plans. Plans for increasing the penetration of renewable energy sources for the Estonian, Latvia and Lithuanian systems are analysed using the Backbone model, finding modest increases in system costs. Lastly, an article sets up an indicator system for assessing environmental performance of European Union member states ranking, e.g., Estonian, Latvia and Lithuanian as moderate (Estonia and Latvia) to weak (Lithuania) in terms of sustainable energy performance score, based on 2019 data.

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Section: Smart Energy Systems Special Issuementioning

confidence: 99%

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

Østergaard

Johannsen

Duić

et al. 2022

IJSEPM

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“…Dénarié et al introduced a relation between the effective width and the number of buildings in an area and used it to estimate the network length and heat distribution costs. The methodology was validated with existing DH grid data from the city of Milan [11].…”

Section: Introductionmentioning

confidence: 99%

District heating distribution grid costs: a comparison of two approaches

Fallahnejad

Kranzl

Hummel³

2022

IJSEPM

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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.

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Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano

et al. 2021

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This work aims at developing a methodology for the assessment of district heating (DH) potential through the mapping of energy demand and waste heat sources. The presented method is then applied to the Metropolitan City of Milano as a case study in order to investigate the current and, especially, the future sustainability of DH with the foreseen building refurbishment and consequent heat demand reduction. The first step is the identification of the areas the most interesting from a heat density and an economic point of view through a clustering algorithm, in which lies the main novelty of the work. The potential is then assessed by investigating their synergy with the available heat sources, which are mapped and analyzed in terms of recoverable thermal energy and costs. In future scenarios with foreseen heat demand reduction, low-temperature networks and excess heat sources are considered, such as metro stations and datacenters, together with the conventional sources, such as thermoelectric plants. The outcomes prove that lower heat demand corresponds to higher network costs with consequently reduced district heating potential but also prove that the properties of low-temperature district heating can potentially compensate for the drop in its cost-effectiveness. Another interesting finding is that the renovation of buildings in an area should be not performed evenly but with criteria; for instance, in synergy with DH diffusion.

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A validated method to assess the network length and the heat distribution costs of potential district heating systems in Italy

Cited by 3 publications

References 0 publications

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

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

District heating distribution grid costs: a comparison of two approaches

Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano

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