Models for fast modelling of district heating and cooling networks

Arce, Itzal del Hoyo; López, Saioa Herrero; Pérez, Susana López; Rämä, Miika; Klobut, Krzysztof; Febres, Jesús

doi:10.1016/j.rser.2017.06.109

Cited by 95 publications

(44 citation statements)

References 13 publications

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“…1); ▪ heat inertia of insulation and ground are ignored. These considerations are similar to those taken in other works which report accurate results for the modeling of thermal networks [14,24,26,30,32]. Both models are further explained in the following sections.…”

Section: Methodssupporting

confidence: 75%

“…Currently, the level of monitoring and measurement in DH is very low and instrumenting existing networks can be very costly. Nevertheless, future networks are expected to have a higher level of metering and monitoring, for this reason a different way of assessing the impact of technological and operational changes has been pursued in the form of Modeling and Simulation (M&S) [14][15][16][17]. With M&S it is possible to replicate existing DH systems and modify them virtually to evaluate the possible results without incurring in high costs.…”

Section: Introductionmentioning

confidence: 99%

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Modified finite volumes method for the simulation of dynamic district heating networks

Schwarz

Mabrouk

Silva

et al. 2019

Energy

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District Heating (DH) networks are getting closer to the concept of "Smart Grids" to deal with the contribution of new technologies and paradigms like Renewable Energy Sources, Distributed Generation and Storage, and Low-Temperature District Heating. This requires good anticipation of the system's dynamics with the objective of improving control. This work proposes a model based on the Finite Volumes method for anticipating the dynamics in DH systems. Its application to branched network topologies gives the delay between the change in the settings at the generation points and the time they are perceived by the different substation in the network, which is a prerequisite for system design, operation planning and optimal control. The model is tested in a 6 Node branched network with the main topology elements being represented (junctions, splits, etc.); real demand data is used at the consumption nodes. A comparison between the model developed by the authors and the existing Finite Volumes method is also presented for the proposed topology. These results shed light on the needs and opportunities in DH, mainly for ICT implementation, energy storage location and management, and enhanced control in the smart energy networks context.

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Section: Methodssupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Modified finite volumes method for the simulation of dynamic district heating networks

Schwarz

Mabrouk

Silva

et al. 2019

Energy

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“…The supply and return network simulations relies on a thermo-fluid dynamic model, which is based on the conservation equations. The model is pseudo-dynamic [18]: the unsteady term is neglected in continuity and momentum equations, since the fluid-dynamic perturbations linked to velocity and pressure are transferred to the whole network in a period of time of few seconds, which is much smaller than the time step adopted for calculations. Oppositely, energy conservation equation is solved dynamically, since temperature perturbations travel at the fluid velocity, which is typically of the order of few meters per second, and their effect are slowly transferred to the network.…”

Section: Thermal Fluid-dynamic Modelmentioning

confidence: 99%

Optimal operation of district heating networks through demand response

Verda¹,

Capone

Guelpa³

2019

International Journal of Thermodynamics

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In this paper, an optimization method aiming at minimizing the thermal peaks in district heating networks is proposed. The method relies on a thermo-fluid dynamic model of both the supply and return networks and permits to analyze the opportunities for thermal peak shaving through "virtual storage". The latter is obtained through variation of the thermal request profiles of the users. The presence of a peak in the morning is due to the shut-down or attenuation of the heating systems during the night, which lead to a dramatical increase of the thermal request early in the morning. The peak compromises a full exploitation of cogeneration and renewable plants that are able to cover just a portion of the maximum load. Consequently, boilers have to be used, leading the system to a performance reduction and to an increase of primary energy consumption. Moreover, the peak makes the possibility of network extension quite difficult, because of the limitation on mass flow rates in the pipes. For this reason, a model is developed to make the thermal profile as flat as possible. The model is applied to a portion of the Turin district heating network, which is the largest network in Italy. Results show that reductions between 20% and 42% are possible, depending on the maximum changes in the possible schedules.

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“…Computer simulations make it possible to recreate a given phenomenon based on mathematical models [3,5,6,10]. In the case of a system in which variables are not a function of time, static models are built, described by algebraic equations.…”

Section: Theoretical Basis For the Simulation Of Heating Networkmentioning

confidence: 99%

“…Thanks to computer simulation methods, district heating companies can analyse the operation of the heating networks at the design and operation stage. Computer simulations also offer a wide range of possibilities in the aspect of optimization of the district heating operation as well as prediction and analysis of network failure effects [3][4][5][6]. The paper concerns the simulation of a district heating network.…”

mentioning

confidence: 99%

District heating simulation in the aspect of heat supply safety

Babiarz

Kut

2018

E3S Web Conf.

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Abstract. District heating systems as strategic objects from the point of view of state security must ensure reliability and security in supply of heat to their customers [1,2]. Thanks to computer simulation methods, district heating companies can analyse the operation of the heating networks at the design and operation stage. Computer simulations also offer a wide range of possibilities in the aspect of optimization of the district heating operation as well as prediction and analysis of network failure effects [3][4][5][6]. The paper concerns the simulation of a district heating network. The methods for the simulation of heating networks were characterized and simulations of district heating system were carried out. The effects of the failure were analysed at different values of outside temperatures and for different durations of failure. The value of compensation for undelivered heat was also determined. Simulations were carried out for an actual district heating system located in Rzeszow.

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Models for fast modelling of district heating and cooling networks

Cited by 95 publications

References 13 publications

Modified finite volumes method for the simulation of dynamic district heating networks

Modified finite volumes method for the simulation of dynamic district heating networks

Optimal operation of district heating networks through demand response

District heating simulation in the aspect of heat supply safety

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