New model for onsite heat loss state estimation of general district heating network with hourly measurements

Wang, Hai; Hu, Meng; Zhu, Tong

doi:10.1016/j.enconman.2017.11.062

Cited by 46 publications

(24 citation statements)

References 38 publications

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“…Once we consider -3.3 degrees of outdoor temperature, instead of -2.1C, an extra 3.17% of primary energy saving can be saved. The heat loss of supply pipe is about 50% higher than that of same type in Dezhou, China (24.5 W/m) [1]. The fact of 50% higher heat losses reflects that the pipe insulation may be somewhat aging or corroded by surrounding soil.…”

Section: Resultsmentioning

confidence: 92%

“…The overall heat loss defined as the ratio of the heat flux to the thermal resistance (5)-(6) is given by [1]…”

Section: Methodsmentioning

confidence: 99%

“…where r1 is the inner radius of pipe, r2 is the radius of insulation layer, r3 is the radius of casing, and r4 is the external radius of pipe, k1, k2 and k3 are the thermal conductivities of steel, insulation, casing and backfilling, W/(m K), hi is the internal heat transfer coefficient; referring to [1]…”

Section: Methodsmentioning

confidence: 99%

“…When referring to a district heating (DH) network, additional energy loss from the pipes including electricity consumption for pumping and heat loss during thermal transmission must be added, as shown in [1].…”

Section: Introductionmentioning

confidence: 99%

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Minimizing the supply temperature at the district heating plant – dynamic optimization

2019

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The constraint contains two elements, namely the heat losses and the electricity consumption for pumping at the producer. The aim was to achieve the lowest acceptable costs in an operation. The options with the supply temperature at the area starting point set to 80/60, then 60/40, and eventually 50/30 (low temperature, 4th generation district heating) were tested. The balance between the savings due to lower heat losses and the electricity consumption of pumps could be performed to assess the economic viability of the solution. This means that if the electricity price is sufficiently high, the model will always choose to minimize electricity consumption and thereby, maximise the profit from high temperature difference. Results concerning heat losses consider both experiences of proper insulation of pipes with variety of design outdoor temperatures (DOTs) and long term measurements from a pump station for district heating (DH) network in Canberra, Australia. We also noted that the heat energy tariffs and purchase price of electricity affect a lot optimal configuration of a DH system. For the best scenario, solutions are obtained that reach over 12% of the available saving potential after calculating 11 equations. Knowing that the policy is updated on a case study base, this is considered a promising result.

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Section: Resultsmentioning

confidence: 92%

“…The overall heat loss defined as the ratio of the heat flux to the thermal resistance (5)-(6) is given by [1]…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Minimizing the supply temperature at the district heating plant – dynamic optimization

2019

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“…In Ref. [12], authors developed an advanced thermal model for the temperature distribution along a network. As it can be seen in Ref.…”

Section: Introductionmentioning

confidence: 99%

Advanced Control of a District Heating System with High Residential Domestic Hot Water Demand

2020

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Proper adjustment of domestic hot water (DHW) load structure can balance energy demand with the supply. Inefficiency in primary energy use prompted Omsk DH company to be a strong proponent of a flow controller at each substation. Here the return temperature is fixed to the lowest possible value and the supply temperature is solved. Thirty-five design scenarios are defined for each load deviation index with equally distributed outdoor temperature ranging from +8 for the start of a heating season towards extreme load at temperature of -26°C. All the calculation results are listed. If a flow controller is installed, the customers might find it suitable to switch to this type of DHW supply. Considering an option with direct hot water extraction as usual and a flow controller installed, the result indicates that the annual heat consumption will be lower once network temperatures during the fall or spring months are higher. The heat load profiles obtained here may be used as input for a simulation of a DH substation, including a heat pump and a tank for thermal energy storage. This design approach offers a quantitative way of sizing temperature levels in each DH system according to the listed methodology and the designer's preference.

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Justification of the Heat Network Project Based on the Simulation of Hydraulic Models When Connecting Consumers

Kitaev,

Tulskaya,

Polivanova

2023

Lecture Notes in Civil Engineering

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New model for onsite heat loss state estimation of general district heating network with hourly measurements

Cited by 46 publications

References 38 publications

Minimizing the supply temperature at the district heating plant – dynamic optimization

Minimizing the supply temperature at the district heating plant – dynamic optimization

Advanced Control of a District Heating System with High Residential Domestic Hot Water Demand

Justification of the Heat Network Project Based on the Simulation of Hydraulic Models When Connecting Consumers

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