Predictive Supply Temperature Optimization of District Heating Networks Using Delay Distributions

Laakkonen, Leo; Korpela, Timo; Kaivosoja, Jyri; Vilkko, Matti; Majanne, Yrjö; Nurmoranta, Maria

doi:10.1016/j.egypro.2017.05.076

Cited by 35 publications

(13 citation statements)

References 5 publications

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“…This involves predicting the future demand for heat and the temperature of the return water on the basis of the forecast outside temperature and the history of process data. On this basis, the supply water temperature and the flow rate are adjusted (Laakkonen et al, 2017). The optimization of the supply temperature in the heating system using the TERMIS program is shown in Figure 3.…”

Section: Application Of It Tools To Manage the Heat Delivery Processmentioning

confidence: 99%

Technological Innovation in the Aspect of Safety in the Process of Heat Supply

Wrzalik

Obrecht

2019

System Safety: Human - Technical Facility - Environment

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In recent years heating in Poland has been transformed as a result of the priorities of the country's energy policy implemented within the European Union. The increase in energy security, the development of renewable energy sources and the fulfilment of legal and environmental requirements are very important. Exploitation of district heating systems should ensure reliable and safe heat supplies for industrial and municipal customers with high energy efficiency and reduction of environmental impact. The article discusses the conditions and directions of centralized heating systems development as well as technical and economic issues, which are important for the security of heat supply. The Author describes selected technological innovations used in the technical infrastructure for heat transfer and modern IT systems which are improving the management of heating systems. The article includes the results of simulation research with use of IT tools showing the impact of selected innovations on the improvement of network operation conditions. Directions of modernization of heating systems in the aspect of increasing energy efficiency and security of heat supply have also been indicted here.

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Section: Application Of It Tools To Manage the Heat Delivery Processmentioning

confidence: 99%

Technological Innovation in the Aspect of Safety in the Process of Heat Supply

Wrzalik

Obrecht

2019

System Safety: Human - Technical Facility - Environment

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“…During the summer, the load is significantly reduced, since the requirements of the customer needs are primarily attributed to domestic hot water (DHW) consumption, and therefore the time of the day aids in capturing this profile. According to Laakkonen et al [16] there is a low level of utilization of automation in supply temperature controls. This is because (a) the transport delay from supplier to consumer is in a continuous flux, (b) it is difficult to estimate the consumers’ consumption profiles, and (c) there is no exact definition on optimal supply temperature.…”

Section: State Of the Art-backgroundmentioning

confidence: 99%

Achieving Lower District Heating Network Temperatures Using Feed-Forward MPC

2019

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The focus of this work is to present the feasibility of lowering the supply and return temperatures of district heating networks in order to achieve energy savings through the implementation of feed-forward model predictive control. The current level of district heating technology dictates a need for higher supply temperatures, which is not the case when considering the future outlook. In part, this can be attributed to the fact that current networks are being controlled by operator experience and outdoor temperatures. The prospects of reducing network temperatures can be evaluated by developing a dynamic model of the process which can then be used for control purposes. Two scenarios are presented in this work, to not only evaluate a controller’s performance in supplying lower network temperatures, but to also assess the boundaries of the return temperature. In Scenario 1, the historical load is used as a feed-forward signal to the controller, and in Scenario 2, a load prediction model is used as the feed-forward signal. The findings for both scenarios suggest that the new control approach can lead to a load reduction of 12.5% and 13.7% respectively for the heat being supplied to the network. With the inclusion of predictions with increased accuracy on end-user demand and feed-back, the return temperature values can be better sustained, and can lead to a decrease in supply temperatures and an increase in energy savings on the production side.

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“…New forms of district heating promote integration with other energy sectors, which requires multi-physics models [1]. Currently, the static simulation models are used by utility companies, in particular, heating distribution system operators (DSOs), to predict the minimum required supply temperature [2] and performance of a heat distribution network [3].…”

Section: Introductionmentioning

confidence: 99%

Verification of multi-energy system components for renewable integration

Filonenko

Gammelgaard

Hansen

et al. 2020

2020 6th IEEE International Energy Conference (ENERGYCon)

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Proprietary software is used by utility companies throughout Europe to predict the district energy network parameters. TERMIS, NEPLAN and NetSim, widely used in Denmark, are limited to static or quasi-static models of electrical, thermal and hydraulic phenomena. Integration of new technology in a multi-energy network requires fully dynamic modeling to accurately estimate physical parameters and run model predictions. In the present study, a dynamic modeling software for district multi-energy systems is presented and dynamic modelling framework Dymola is compared to the quasi-static software TERMIS. District heating system components are developed in Dymola, verified in TERMIS and applied to the case where the pump consumption is partially covered by the wind-generated power. The proposed modeling approach brings possibilities for (a) dynamic analysis of the integration of renewable technologies into the future district heating network and (b) comparison of existing and innovative multi-energy systems considering their real-time status and performance.

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Predictive Supply Temperature Optimization of District Heating Networks Using Delay Distributions

Cited by 35 publications

References 5 publications

Technological Innovation in the Aspect of Safety in the Process of Heat Supply

Technological Innovation in the Aspect of Safety in the Process of Heat Supply

Achieving Lower District Heating Network Temperatures Using Feed-Forward MPC

Verification of multi-energy system components for renewable integration

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