Modelling of Water Supply Costs

Karnītis, Edvīns; Karnītis, Ģirts; Zuters, Janis; Bobinaitė, Viktorija

doi:10.1016/j.procs.2017.01.040

Cited by 2 publications

(1 citation statement)

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“…The authors already have successfully used several benchmarking modelling tools for the cost assessment in a related industrywater supply (Zuters, Valainis, Karnitis, G., & Karnitis, E., 2016;Karnitis E., Karnitis G., Zuters, & Bobinaite, 2017). The results obtained have shown the suitability of the method to solve the similar tasks.…”

Section: Basic Principles Of the Methodologymentioning

confidence: 98%

District heating networks: enhancement of the efficiency

Sarma¹,

Karnītis²,

Zuters³

et al. 2019

IRD

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During the decades the district heating's (DH) advantages (more cost-efficient heat generation and reduced air pollution) overcompensated the additional costs of transmission and distribution of the centrally produced thermal energy to consumers. Rapid increase in the efficiency of low-power heaters, development of separated low heat density areas in cities reduce the competitiveness of the large centralized DH systems in comparison with the distributed cluster-size networks and even local heating. Reduction of transmission costs, enhancement of the network efficiency by optimization of the design of the DH networks become a critical issue. The methodology for determination of the key drivers of the cost-efficiency of the DH networks to implement the most efficient (cost-minimal) thermal energy transmission was developed in this study. An inductive benchmarking modelling was applied; the general causal regularity is based on the observations of specific cases, thus determining the relationships between the network's design and thermal indicators as predictors and transmission costs as the target variable. The key drivers of the network efficiency were disclosedthe network length and the largest inner diameter of the pipes. The methodology is applicable for use by municipalities and heat providers for the heating planning of the new housing developments as well as renovation and/or expansion of the existing DH networks.

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Section: Basic Principles Of the Methodologymentioning

confidence: 98%