Network Temperatures and Flow Rate: Case Study of District Heating in Canberra, Australia
International Journal of Energy and Environmental Science
Volume 3, Issue 3, May 2018, Pages: 61-68
Received: Jul. 6, 2018; Accepted: Jul. 16, 2018; Published: Aug. 9, 2018
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Stanislav Viktorovich Chicherin, Thermal Engineering Department, Omsk State Transport University, Omsk, Russia
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The purpose of this paper is to highlight the relevance of district heating (DH) in the country where, in general, there is no such system and, specifically, to develop and implement a helpful approach for designing a DH network combining thermal and hydraulic considerations to simulate the energy behaviour of such network. The nonlinear model of the supply and return temperatures describes the dynamics of a DH system with an appropriate accuracy. The results of the generated scenarios are partial load values obtained for each category. The data on the daily heating power demand was transformed into an outdoor temperature dependence curve used to compute the flow rate for each of the scenario. Under the designed condition, the flow is determined and regulation approaches are elaborated. The resulting flow is quite stable. Taking into account the deficiencies of conventional evaluation for DH networks, this study excludes the hypothesis of constant outdoor temperature, and analyzes the influence of outside temperature on the heat losses and electricity consumption for DH networks based upon the state-space method. The obtained results are achieved without significant investments into a DH system just by adjusting and controlling temperatures and flow rates of a heat radiator circulating in the network.
Demand, Flow, Thermal, Weather
To cite this article
Stanislav Viktorovich Chicherin, Network Temperatures and Flow Rate: Case Study of District Heating in Canberra, Australia, International Journal of Energy and Environmental Science. Vol. 3, No. 3, 2018, pp. 61-68. doi: 10.11648/j.ijees.20180303.12
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B. J. Claessens, D. Vanhoudt, J. Desmedt, and F. Ruelens, “Model-free control of thermostatically controlled loads connected to a district heating network,” Energy Build., vol. 159, pp. 1–10, Jan. 2018.
J. Hou, P. Xu, X. Lu, Z. Pang, Y. Chu, and G. Huang, “Implementation of expansion planning in existing district energy system: A case study in China,” Appl. Energy, vol. 211, pp. 269–281, Feb. 2018.
A. Delangle, R. S. C. Lambert, N. Shah, S. Acha, and C. N. Markides, “Modelling and optimising the marginal expansion of an existing district heating network,” Energy, vol. 140, pp. 209–223, Dec. 2017.
A. Vandermeulen, B. van der Heijde, and L. Helsen, “Controlling district heating and cooling networks to unlock flexibility: A review,” Energy, Mar. 2018.
I. del Hoyo Arce, S. Herrero López, S. López Perez, M. Rämä, K. Klobut, and J. A. Febres, “Models for fast modelling of district heating and cooling networks,” Renew. Sustain. Energy Rev., vol. 82, pp. 1863–1873, Feb. 2018.
Y. Wang et al., “Operation stability analysis of district heating substation from the control perspective,” Energy Build., vol. 154, pp. 373–390, Nov. 2017.
M. Dahl, A. Brun, and G. B. Andresen, “Using ensemble weather predictions in district heating operation and load forecasting,” Appl. Energy, vol. 193, pp. 455–465, May 2017.
M. Tunzi, R. Boukhanouf, H. Li, S. Svendsen, and A. Ianakiev, “Improving thermal performance of an existing UK district heat network: A case for temperature optimization,” Energy Build., vol. 158, pp. 1576–1585, Jan. 2018.
M. Chertkov and N. N. Novitsky, “Thermal Transients in District Heating Systems,” Energy, Jan. 2018.
R. Zarin Pass, M. Wetter, and M. A. Piette, “A thermodynamic analysis of a novel bidirectional district heating and cooling network,” Energy, vol. 144, pp. 20–30, Feb. 2018.
G. Schweiger, P.-O. Larsson, F. Magnusson, P. Lauenburg, and S. Velut, “District heating and cooling systems – Framework for Modelica-based simulation and dynamic optimization,” Energy, vol. 137, pp. 566–578, Oct. 2017.
B. Babiarz and A. Blokus-Roszkowska, “Probabilistic model of district heating operation process in changeable external conditions,” Energy Build., vol. 103, pp. 159–165, Sep. 2015.
Z. Ma et al., “The Role of Data Analysis in the Development of Intelligent Energy Networks,” IEEE Netw., vol. 31, no. 5, pp. 88–95, 2017.
M. Valinčius, M. Vaišnoras, and A. Kaliatka, “Study and demonstration of pressure wave-based leak detection in a district heating network,” Struct. Infrastruct. Eng., vol. 14, no. 2, pp. 151–162, Feb. 2018.
X. Shan, P. Wang, and W. Lu, “The reliability and availability evaluation of repairable district heating networks under changeable external conditions,” Appl. Energy, vol. 203, pp. 686–695, Oct. 2017.
D. Geysen, O. De Somer, C. Johansson, J. Brage, and D. Vanhoudt, “Operational thermal load forecasting in district heating networks using machine learning and expert advice,” Energy Build., vol. 162, pp. 144–153, Mar. 2018.
S. V. Chicherin, “Unlocking a potential of district heating network efficient operation and maintenance by minimizing the depth of a trench system,” Bull. Tomsk Polytech. Univ. Geo Assets Eng., vol. 328, no. 9, pp. 49–56, 2017.
M. Jangsten, J. Kensby, J.-O. Dalenbäck, and A. Trüschel, “Survey of radiator temperatures in buildings supplied by district heating,” Energy, vol. 137, pp. 292–301, Oct. 2017.
L. Brange, J. Englund, and P. Lauenburg, “Prosumers in district heating networks – A Swedish case study,” Appl. Energy, vol. 164, pp. 492–500, Feb. 2016.
N. Aghdaei, D. Daly, and T. McCarthy, “Linear regression models for prediction of annual heating and cooling demand in representative Australian residential dwellings,” Energy Procedia, vol. 121, pp. 79–86, Sep. 2017.
I. Andrić, J. Fournier, B. Lacarrière, O. Le Corre, and P. Ferrão, “The impact of global warming and building renovation measures on district heating system techno-economic parameters,” Energy, Mar. 2018.
K. Sartor, V. Lemort, and P. Dewallef, “Improved district heating network operation by the integration of high-temperature heat pumps,” Int. J. Sustain. Energy, pp. 1–15, Oct. 2017.
H. Averfalk and S. Werner, “Novel low temperature heat distribution technology,” Energy, vol. 145, pp. 526–539, Feb. 2018.
D. Romanchenko, M. Odenberger, L. Göransson, and F. Johnsson, “Impact of electricity price fluctuations on the operation of district heating systems: A case study of district heating in Göteborg, Sweden,” Appl. Energy, vol. 204, pp. 16–30, Oct. 2017.
S. Coss, V. Verda, and O. Le-Corre, “Multi-objective optimization of District Heating Network model and assessment of Demand Side Measures using the load deviation index,” J. Clean. Prod., Feb. 2018.
M. Badami, A. Fonti, A. Carpignano, and D. Grosso, “Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach,” Energy, vol. 144, pp. 826–838, Feb. 2018.
N. Deng et al., “Comparative analysis of optimal operation strategies for district heating and cooling system based on design and actual load,” Appl. Energy, vol. 205, pp. 577–588, Nov. 2017.
H. Wang, H. Wang, H. Zhou, and T. Zhu, “Modeling and optimization for hydraulic performance design in multi-source district heating with fluctuating renewables,” Energy Convers. Manag., vol. 156, pp. 113–129, Jan. 2018.
K. Sernhed, K. Lygnerud, and S. Werner, “Synthesis of Recent Swedish District Heating Research,” Energy, Mar. 2018.
E. Guelpa, G. Barbero, A. Sciacovelli, and V. Verda, “Peak-shaving in district heating systems through optimal management of the thermal request of buildings,” Energy, vol. 137, pp. 706–714, Oct. 2017.
S. V. Chicherin, “New approach to determination of corrosion damage degree of pipeline system elements,” Bull. Tomsk Polytech. Univ. Geo Assets Eng., vol. 327, no. 12, pp. 110–115, 2016.
S. Chicherin, “Network temperatures and flow rate: probability of district heating in Canberra, Australia,” 2018. [Online]. Available:
Q. Wu, H. Ren, W. Gao, P. Weng, and J. Ren, “Coupling optimization of urban spatial structure and neighborhood-scale distributed energy systems,” Energy, vol. 144, pp. 472–481, Feb. 2018.
H. Wang, H. Meng, and T. Zhu, “New model for onsite heat loss state estimation of general district heating network with hourly measurements,” Energy Convers. Manag., vol. 157, pp. 71–85, Feb. 2018.
M. Noussan, M. Jarre, and A. Poggio, “Real operation data analysis on district heating load patterns,” Energy, vol. 129, pp. 70–78, Jun. 2017.
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