Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies

Jie, Pengfei; Kong, Xiangfei; Rong, Xian; Xie, Shangqun

doi:10.1016/j.apenergy.2016.05.095

Cited by 13 publications

(3 citation statements)

References 31 publications

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“…The reduced pressure drop allows for smaller pipe dimensions to be used, which in turn may reduce the building costs of the DH system. A decrease of the pressure drop will also mean that less pump work is needed in the systems [1,23].…”

Section: Performance Of the Customer Installationmentioning

confidence: 99%

Automated Statistical Methods for Fault Detection in District Heating Customer Installations

et al. 2018

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In order to develop more sustainable district heating systems, the district heating sector is currently trying to increase the energy efficiency of these systems. One way of doing so is to identify customer installations in the systems that have poor cooling performance. This study aimed to develop an algorithm that was able to detect the poorly performing installations automatically using meter readings from the installations. The algorithm was developed using statistical methods and was tested on a data set consisting of data from 3000 installations located in a district heating system in Sweden. As many as 1273 installations were identified by the algorithm as having poor cooling performance. This clearly shows that it is of major interest to the district heating companies to identify the installations with poor cooling performance rapidly and automatically, in order to rectify them as soon as possible.

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Section: Performance Of the Customer Installationmentioning

confidence: 99%

Automated Statistical Methods for Fault Detection in District Heating Customer Installations

et al. 2018

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“…Pengfei et al [8] investigated the pressure drops per unit length that are currently recommended in the design of DH networks (30-70 Pa/m in China and 100 Pa/m in most of European countries). A tree-shaped DH network in the Hebei province (China) was used as a case study, considering the demand for five outdoor temperatures combined with four operating strategies.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of a District Heating Network Expansion, a Case Study for the Town of Kiruna

Vesterlund

Toffolo

2017

Applied Sciences

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Abstract:The urbanization of new areas beyond the existing perimeter of a town implies the expansion of several infrastructures, including the district heating network. The main variables involved in the design of the district heating network expansion are the layout of the new pipes, their diameters, and the capacity of the new heat production sites that are required to satisfy the increased demand of room heating and hot tap water. In this paper, a multi-objective evolutionary algorithm is applied to the minimization of the costs related to the expansion of the district heating network of the town of Kiruna, in northern Sweden. The results show that the spectrum of the optimal design compromises between investment costs for the new pipes and the new heat generation site on one side, and operating costs due to overall fuel consumption and pumping power in the network on the other. The presented methodology is a tool meant for the decision makers in the company who own the district heating network, to evaluate all the possible best design alternatives before making a decision.

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“…Ancona et al [22] introduced a technical-economical optimization procedure for DH network design in order to minimize the pumping energy consumption and thermal energy losses as well as to maximize the annual revenue. Likewise, Jie et al [23] optimized a tree-shaped DH network in Hebei Province, China, by taking into account the heat demands at five different outdoor temperatures and with different operating strategies. The objective was to minimize the sum of the annualized costs, including the heat distribution cost relating to pumping and heat losses as well as the pipe investment cost.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the District Heating Primary Network from the Perspective of Economic-Specific Pressure Loss

Wang

Lin

et al. 2017

Energies

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Abstract:A district heating (DH) system is one of the most important components of infrastructures in cold areas. Proper DH network design should balance the initial investment and the heat distribution cost of the DH network. Currently, this design is often based on a recommended value for specific pressure loss (R = ∆P/L) in the main lines. This will result in a feasible network design, but probably not be optimal in most cases. The paper develops a novel optimization model to facilitate the design by considering the initial investment in the pipes and the heat distribution costs. The model will generate all possible network scenarios consisting of different series of diameters for each pipe in the flow direction of the network. Then, the annuity on the initial investment, the heat distribution cost, and the total annual cost will be calculated for each network scenario, taking into account the uncertainties of the material prices and the yearly operating time levels. The model is applied to a sample DH network and the results indicate that the model works quite well, clearly identifying the optimal network design and demonstrating that the heat distribution cost is more important than the initial investment in DH network design.

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Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies

Cited by 13 publications

References 31 publications

Automated Statistical Methods for Fault Detection in District Heating Customer Installations

Automated Statistical Methods for Fault Detection in District Heating Customer Installations

Design Optimization of a District Heating Network Expansion, a Case Study for the Town of Kiruna

Optimizing the District Heating Primary Network from the Perspective of Economic-Specific Pressure Loss

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