Study on the modernisation of an extra-worn district heating (DH) system in Russia: low temperature DH and 4 more options processing

Чичерин, Станислав; Junussova, Lyazzat; Junussov, Timur

doi:10.1051/e3sconf/202014301011

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…All recorded outdoor, supply, and return temperatures are detailed and thoroughly examined in Chicherin's research [15]. Retrofitting of the distribution system that started in 2016 should make it possible to operate the system at high temperatures, as was originally designed [44].…”

Section: Methodsmentioning

confidence: 99%

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Чичерин

Mašatin²,

Siirde

et al. 2020

Energies

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The goal of this paper was to evaluate heat loss and the demand of district heating (DH) in the context of the fourth generation DH concept using a data-driven approach. The heat loss profile was calculated with GIS Zulu© (software (8.0.0.7539, Politerm, LLC, St.Petersburg, Russia) using eight various states of insulation, detailed information on thermal conductivity, internal heat transfer coefficient, and geometry of the concrete trench. There is a strong correlation between the heat sold and the average annual outdoor temperatures. The outstanding episodes are extremely rare, and the difference in the overall pattern is elusive. The results of the annual heat production and annual heat loss analyses were compared using three different estimation methods. The new method was the only one that showed a positive effect after the complete modernization of thermal insulation. The actual proportion of heat loss is much higher at 16%, while the actual heat delivery is less than anticipated at 85–86% only. The trend of the normative approach is correct but cannot determine changes in network heat loss due to aging. The method focuses on the effects of the state of insulation and actual supply temperature levels. The transition to smart energy systems includes strategic and progressive energy planning, as well as new pricing rules and tariffs. Thus, the method presented is the first step in the transition towards the fourth generation DH networks.

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Section: Methodsmentioning

confidence: 99%

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Чичерин

Mašatin²,

Siirde

et al. 2020

Energies

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“…This idea is supported by Jebamalai et al [16]. Secondly, different TESs should also be integrated in such a network as they are required for a system operation during hours of peak demand [4]. Annually heat from TES may cover circa.…”

Section: Resultsmentioning

confidence: 99%

“…The 4GDH concept becomes a complete shift in DH development and is characterized by a low supply temperature and smart control of substations [4]. The same way, Farouq et al [5] detected malfunction of some substations compared to their reference-group.…”

Section: Introductionmentioning

confidence: 99%

Specifying DHW heat demand profiles according to operational data: enhancing quality of a DH system model

et al. 2021

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For a DH network a meticulous analysis is required to detect a correlation of a reduction in energy demand from one year to another. The factors, which lead to such inconsistency, force an energy company (1) to modernize equipment at a consumer side and (2) to lower network operating temperatures. It results into so called fourth generation district heating (4GDH). The current research focuses on large-scale DH systems and DHW as second largest share of heat demand. The heat delays, thermal inertia and DHW consumption patterns are specified further since they might represent a natural heating accumulator. In this case, daily flow changes are considered, as they influence a DH system performance and desirable TES capacity. However, more precise profiles can be achieved by detecting the actual flow curve, and measuring the temperature difference between substation supply and return line. The dimensioning of DH systems requires comprehensive understanding of simultaneity factors. Thus, we consider substations with DHW preparation to choose the optimal size of the heat distribution network according to the new method. Case study is a DH system in Omsk, which includes residential houses (both SH and DHW coverage), and university buildings (more demand results from process heat). The operation of the system was studied for the period from the 1st of January to 31st of December 2020. We suggest a TES with a capacity of 0.04 MWh; based on the traditional temperature range, the volume is about 0.5 m3. Daily compensation time is 2-3 hours, when there is a reduction in the supply flow rate of 1500 t/h with minimum DH plant make-up. The entire DH system requires about 400 t of hot water make-up to reach the quasi-steady state conditions after the night DHW shutdown. Using the threshold of the traditional model, it hardly fits an operational value - it is better set according to novel method (0.1 MW). For similar relations between circulation and DHW flow rates, the systems with a HE result in higher circulating flows than the substations with no one. The consumer benefit from consuming DHW and heat according to more accurate profiles accounts 1.72 billion USD. It is quantified by considering avoiding using a back-up electricity source to ensure DHW service when a DH plant supplies enough heat. Moreover, if a TES is controlled according to the method detailed, it alleviates the stress for intermittent operation by compensating the transients of SH and DHW loads. 4GDH concept should be considered according to: (1) the operational data, (2) new DHW demand assessments, and (3) using TES to buffer peaks.

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Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant

et al. 2021

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Study on the modernisation of an extra-worn district heating (DH) system in Russia: low temperature DH and 4 more options processing

Cited by 8 publications

References 28 publications

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Specifying DHW heat demand profiles according to operational data: enhancing quality of a DH system model

Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant

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