Hydraulic resistance identification and optimal pressure control of district heating network

Wang, Na; You, Shijun; Wang, Yaran; Zhang, Huan; Miao, Qing; Zheng, Xuejing; Mi, Leiyang

doi:10.1016/j.enbuild.2018.04.003

Cited by 42 publications

(12 citation statements)

References 19 publications

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“…Additionally, very often, they cover only selected aspects of their operation. Research studies published in [26][27][28][29][30][31][32][33] may serve as an example. Research studies carried out in such a manner is of great scientific and practical value.…”

Section: Optimization Of Municipal Energy Systemsmentioning

confidence: 99%

“…Research studies carried out in such a manner is of great scientific and practical value. They offer solutions to many complicated problems in the field of municipal power industry, for instance, they define the methodology of energy demand prediction [34][35][36] and optimize the procedures for controlling the operation of distribution networks [27,29,32,37]. It should be emphasized, however, that a definitely better approach to the issue of optimization of municipal energy systems as a whole is a complex analysis which takes into consideration energy sources, distribution networks and buildings supplied with energy.…”

Section: Optimization Of Municipal Energy Systemsmentioning

confidence: 99%

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Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System

Ziembicki

Klimczak

Bernasiński

2018

Civil and Environmental Engineering Reports

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The paper presents the analytical and consultancy system which aims at a complex, comprehensive, multi-criteria energy performance analysis of a given building or a group of buildings and at making a recommendation for an energy source with regard to CO2 emission and investment costs determined on the basis of indicators included in the knowledge databases. The analytical and consultancy system employs advanced energy performance computer simulations of buildings as well as innovative analytical algorithms worked out and contributed by the authors, including those based on the knowledge base developed on the grounds of performance data from selected buildings of various types situated in a dozen or so cities of different population in Poland.

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Section: Optimization Of Municipal Energy Systemsmentioning

confidence: 99%

Section: Optimization Of Municipal Energy Systemsmentioning

confidence: 99%

Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System

Ziembicki

Klimczak

Bernasiński

2018

Civil and Environmental Engineering Reports

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“…As the key part of the smart heating system (SHS), the hydraulic modeling optimal control method of pipe networks is the hot spot of research. Wang et al 9,10 proposed a hydraulic simulation analysis method based on spatial network adjustment for multi-source multi-ring DHN. Using the breadth-first search algorithm, the network topology was established and the failure condition of the asymmetric network was calculated.…”

Section: Introductionmentioning

confidence: 99%

A smart and transparent district heating mode based on industrial Internet of things

Liu

Zhang

Liu³

2020

Int J Energy Res

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Currently, both the heated building area and total pipe length have been increased significantly. Despite the rapid development of China's heating industry, the overall efficiency of district heating systems is relatively low. In this paper, an innovative smart and transparent heating mode is proposed to solve the problems of the current heating mode. The proposed method integrates two core technologies: the 3D-GIS digital twin model and the NB-IoT wireless communication system. The concept, main characteristic of the proposed heating mode is discussed. A concrete technical scheme of the heating mode integrating the static and dynamic data of DHN is presented. To test the feasibility and effectiveness of the proposed heating mode, two cases with a concrete implementation scheme are presented. The energy reduction rate, pump efficiency, and hydraulic imbalance level of proposed heating mode is compared with the traditional heating mode. Results show that the energy consumption of DHN under traditional set secondary-side supply target temperature control mode can be reduced by 26.11% compared with smart and transparent heating mode during the heating period.

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“…[4] for a LTDH, design supply temperature is from 65 to 75°C, and the return temperature is fixed at 35°C. Besides, leaks [5] may lead to consumer's dissatisfaction and possible disconnections from the network in order to switch to, for instance, a heat pump which would seem more cost efficient for the consumer at that point [6]. Sayegh et al [7] showed the three main considerations when determining emissions from heat pump based DH systems: the driving energy, heat pump technologies and the heat sink characteristics.…”

Section: Introductionmentioning

confidence: 99%

Study on the modernisation of an extra-worn district heating (DH) system in Russia: low temperature DH and 4 more options processing

2020

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Modeling was performed on the base of the DH system located in Omsk, Russia, where the DH network temperature requirements are not met and design outdoor temperature of extreme -37°C is. Surveyed investment in a transmission line to avoid penalties on disturbances is projected to have an original supply temperature of 150°C and is denoted as Case-1. The second idea (Case-2) envisages installing a heat pump and increasing the supply temperature in peak load periods during the heating season. The third option is to use of in-room terminal systems to provide heating to individual zones. Case-4 assumes maintaining an ordinary DH network without using any energy-efficient alternative and significant repair which means that the system continuous working ‘as is’. The fifth option introduces low temperature district heating (LTDH) concept featuring a low supply temperature and smart control. To sum up, this research indicates location of a heat pump and also shows how the piping system will be offset to allow the normal operation. This study presents a framework to represent, aggregate, dynamic thermal model and modernize a DH system based on a high-level equation-based simulation software and a five-option feasibility study.

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Hydraulic resistance identification and optimal pressure control of district heating network

Cited by 42 publications

References 19 publications

Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System

Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System

A smart and transparent district heating mode based on industrial Internet of things

Study on the modernisation of an extra-worn district heating (DH) system in Russia: low temperature DH and 4 more options processing

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