Low Temperature District Heating for Future Energy Systems

Schmidt, Dietrich; Kallert, Anna; Blesl, Markus; Svendsen, Svend; Li, Hongwei; Nord, Nataša; Sipilä, Kari

doi:10.1016/j.egypro.2017.05.052

Cited by 102 publications

(42 citation statements)

References 6 publications

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“…solar, geothermal, biomass, and industrial waste heat). Low-temperature District Heating (DH) in cold winters could be one of the vital solutions for both the generation and the demand sides (Schmidt et al, 2017) (Werner, 2017) (Abdalla et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of Solar-Thermal DH Systems

Abdalla¹

2020

STUD INFORM CONTROL

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Currently, dynamical heat transfer models of the District Heating (DH) systems are needed to synthesize different types of smart building controllers. Such controllers are designed in such a way as to increase energy savings and provide highly flexible and more efficient DH systems. In this work, the complete analysis, the modelling, and the simulation of a DH thermal solar system have been investigated. A Complete mathematical modelling of the DH system components has been carried out for both the transient and steady state parts. The generated mathematical heat transfer model of the DH system has been first verified and validated through computer simulations, and it has been complemented by real collected environmental data in order to validate the derived heat transfer model. Finally, a small-scale DH system has been built and tested to validate the computer simulations, which has also been used to test a simple ON/OFF as a control strategy for the DH thermal solar system.

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Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of Solar-Thermal DH Systems

Abdalla¹

2020

STUD INFORM CONTROL

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“…Authors [24]- [26] pay attention to pipe design methods and proposed improved methods for distribution pipes design to reduce heat losses. Economic feas ibility of low temperature DHS in areas with low heat density was analyzed in [27], [28]. The issue of integration of decentralized thermal storages within DHS is discussed in [29].…”

Section: Introductionmentioning

confidence: 99%

“…We consider, that it's first and important step on the way to the main goal of energy strategyintelligent heating systems or 4 th generation DHS. Within the framework of this area, researches related to the prosumer and the use of low-temperature modes in DHS are especially perspective [28], [35]- [37].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Effective Heat Supply Radius for the District Heating Systems

Stennikov

Mednikova

Postnikov

et al. 2019

Environmental and Climate Technologies

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The problem of determining the effective (optimal) heat supply radius is considered. Heat supply radius is transportation distance of heat energy in the district heating systems (DHS), under which the highest indices of economic efficiency of district heating to consumers are respected. To solve this difficult and multifactorial problem, a bi-level approach has been proposed. This approach allows finding the optimal frameworks of territorial areas of district heating while fulfilling the necessary requirements for thermal-hydraulic modes in heat networks and for reliability of heating to consumers. Methodology for solving the formulated problem is based on bi-level programming methods, models of Theory of hydraulic circuits, nonlinear optimization methods, nodal reliability indices (availability factor, failure-free operation probability), Markov random processes models and other methods and models. A case study has been conducted using the developed methodological apparatus for the actual DHS scheme of the Irkutsk city (Russia, Siberia).

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“…The first district energy system dates back to the 14th century [21]. Nowadays, four generations of heating networks are considered: the first generation (1880-1930) characterised by the use of steam as a thermal fluid, the second in which steam was replaced by high temperature water channelled through concrete pipes, the third (1980-2020) based on the average water temperature in prefabricated pipes buried directly in the ground, and the fourth, the future generation (2020-2050), which will focus on low temperature distribution, supplying below 50 • C and return close to 20 • C or between 70 • C and 30 • C, using waste heat, municipal solid waste, renewable energies, and possibly combined with cogeneration plants and integrated into smart energy grids [21][22][23][24][25][26][27][28][29][30][31]. The system will be optimal for new buildings, constructed using near-Zero Energy Building (nZEB) guidelines and high energy efficiency standards [32,33].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Analysis Carried Out by Installing District Heating on a University Campus. A Case Study in Spain

et al. 2018

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This article analyses the reduction of energy consumption following the installation of district heating (DH) in the Miguel Delibes campus at the University of Valladolid (Spain), in terms of historical consumption and climate variables data. In order to achieve this goal, consumption models are carried out for each building, enabling the comparison of actual data with those foreseen in the model. This paper shows the statistical method used to accept these models, selecting the most influential climate variables data obtained by the models from the consumption baselines in the buildings at the Miguel Delibes campus through to the linear regression equations with a confidence level of 95%. This study shows that the best variables correlated with consumption are the degree-days for 58% of buildings and the average temperature for the remaining 42%. The savings obtained to date with this third generation network have been significantly higher than the 21% average for 33% of the campus buildings. In the case of 17% of the buildings, there was a significant increase in consumption of 20%, and in the case of the remaining 50% of the buildings, no significant differences were found between consumption before and after installation of district heating.

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Low Temperature District Heating for Future Energy Systems

Cited by 102 publications

References 6 publications

Modelling and Simulation of Solar-Thermal DH Systems

Modelling and Simulation of Solar-Thermal DH Systems

Optimization of the Effective Heat Supply Radius for the District Heating Systems

Energy Efficiency Analysis Carried Out by Installing District Heating on a University Campus. A Case Study in Spain

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