Smarter Smart District Heating

Novitsky, Nikolay; Shalaginova, Z. I.; Alekseev, A. A.; Tokarev, V. V.; Grebneva, Oksana A.; Lutsenko, A. V.; Vanteeva, Olga; Mikhailovsky, Egor; Pop, Roman; Vorobev, Petr; Chertkov, Michael

doi:10.1109/jproc.2020.2990490

Cited by 23 publications

(34 citation statements)

References 72 publications

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“…This smart supervision manages to diagnose the technical condition of plants, pipelines, and equipment, identify all possible defects, faults, or dangerous situations in a continuous manner with a rapid response of alarm signals. Moreover, the prediction and planning of heat loads with respect to weather conditions and historical data are also included [89][90][91].…”

Section: Dh Network and Household Integrated Into Intelligent Systemmentioning

confidence: 99%

Smart Asset Management for District Heating Systems in the Baltic Sea Region

et al. 2021

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The purpose of this review is to provide insight and a comparison of the current status of district heating (DH) systems for selected Baltic Sea countries (Denmark, Germany, Finland, Latvia, Lithuania, Poland, and Sweden), especially from viewpoints of application and solutions of novel smart asset management (SAM) approaches. Furthermore, this paper considers European projects ongoing from 2016, involving participants from the Baltic Sea Region, concerning various aspects of DH systems. The review presents the energy sources with particular attention to renewable energy sources (RES), district heating generations, and the exploitation problems of DH systems. The essential point is a comparison of traditional maintenance systems versus SAM solutions for optimal design, operating conditions, and controlling of the DH networks. The main conclusions regarding DH systems in Baltic Sea countries are commitment towards a transition to 4th generation DH, raising the quality and efficiency of heat supply systems, and simultaneously minimizing the costs. The overall trends show that applied technologies aim to increase the share of renewable energy sources and reduce greenhouse gas emissions. Furthermore, examples presented in this review underline the importance of the implementation of a smart asset management concept to modern DH systems.

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Section: Dh Network and Household Integrated Into Intelligent Systemmentioning

confidence: 99%

Smart Asset Management for District Heating Systems in the Baltic Sea Region

et al. 2021

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“…The main distinctions of the ANGARA-HN software are related to its capability to provide the hierarchical single-line or two-line representation of heat network diagrams, their single-or multi-level, detailed or aggregate modeling, and increase in the composition of calculation tasks without reprogramming existing ones on a single information basis. Methods and algorithms for modeling the operating conditions, which are implemented in the ANGARA-HN ICS [23][24][25][26][27][28][29][30][31][32][33][34][35] have been extensively tested in the district heating systems of many Russian cities (Moscow, St. Petersburg, Urengoy, Yekaterinburg, Petropavlovsk-Kamchatsky, Irkutsk, Angarsk, Bratsk, Baikalsk, Cheremkhovo, Zheleznogorsk-Ilimsky, etc.) and cities of other countries (Mongolia (Ulaanbaator, Darkhan), Ukraine (Dnepropetrovsk), China (Beijing), and others).…”

Section: Experience In Application Of Computer Technologies To Provid...mentioning

confidence: 99%

“…In control. 1) transition to a new concept of controlling district heating systems as dynamic and stochastic objects operating under uncertainty about the internal state and external impacts [33][34][35][36]; 2) optimally plan and control the main (operational), post-accident and «repair» conditions; 3) continuously monitor the actual state of the DHS; 4) overcome departmental or corporate disunity of technologically connected parts of the DHS and related systems. Summarizing what has been said, it is worth stating that the core direction of resolving the traditional contradiction between the requirements for the DHS efficiency and reliability on the way to their smartization involves the enhancement of their controllability based on the mathematical modeling methods.…”

Section: Piezometric Graphs Of the Heat Network In The City Of Darkha...mentioning

confidence: 99%

Current Issues of Russian and Mongolian District Heating Systems and Scientific and Methodological Lines for Solving Them

Novitsky

Shalaginova

Tokarev

et al. 2022

Energy Systems Research

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Against the background of the commonality of issues facing district-heating systems (DHSs) in Russia and Mongolia, the prospective strands to overcome them through the widespread adoption of modern methods of mathematical modeling and information technologies are addressed in this paper. A brief description of the long-term experience of cooperation between the Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences (ESI SB RAS) and the scientific and energy enterprises of Mongolia in the field of computer technologies for the analysis and development of operating parameters of the DHS is given. The study shows that this experience is in line with the current global trends in the modernization of district heating systems based on their digitalization and smartization. The concept of intelligent (smart) DHSs, their advantages, as well as the issues arising on the way of the DHS transformation into cyberphysical self-controlled systems are revealed. The results of the analysis of the state-of-the-art scientific and methodological developments and software in the field the DHS analysis and control smartization are discussed. The main results obtained at the ESI SB RAS in the formulation of the DHS adaptive control problems and the creation of a single information space are presented along with the methods for resolving specific issues of analysis, identification of models, and DHS optimization. Additionally, the paper focuses on the software developed at the ESI SB RAS to meet new

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“…The newest generation DHSs have the potential to improve the sustainability of a fossil fueldependent heating sector by increasing the share of distributed generations units based on renewables (e.g., geothermal or solar thermal) as well as units based on residual heat from some industrial processes. Such units can be flexibly incorporated with the support of heat storage devices (typically water tanks) [1] (see also [2], [3]).…”

Section: Introductionmentioning

confidence: 99%

Decentralized temperature and storage volume control in multi-producer district heating

Machado¹,

Ferguson²,

Cucuzzella³

et al. 2022

Preprint

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Modern district heating technologies have a great potential to make the energy sector more flexible and sustainable due to their capabilities to use energy sources of varied nature and to efficiently store energy for subsequent use. Central control tasks within these systems for the efficient and safe distribution of heat refer to the stabilization of overall system temperatures and the regulation of storage units state of charge. These are challenging goals when the networked and nonlinear nature of district heating system models is taken into consideration. In this letter, for district heating systems with multiple, distributed heat producers, we propose a decentralized control scheme to provably meet said tasks stably.

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Smarter Smart District Heating

Cited by 23 publications

References 72 publications

Smart Asset Management for District Heating Systems in the Baltic Sea Region

Smart Asset Management for District Heating Systems in the Baltic Sea Region

Current Issues of Russian and Mongolian District Heating Systems and Scientific and Methodological Lines for Solving Them

Decentralized temperature and storage volume control in multi-producer district heating

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