Comparison of Insulation Surface Temperature and Energy Loss Based on the Location of a Hot-Water Pipe

Kim, Seong Eun; Song, Yong Woo; Park, Jin Chul

doi:10.6110/kjacr.2021.33.1.025

Cited by 1 publication

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“…Kim et al performed a simulation to evaluate the surface temperature change based on the insulation thickness (Kim et al, 2020). In another study, the insulation surface temperature and energy losses were compared (Kim et al, 2021). However, studies that deal with low-temperature district heating (LTDH) implementation and associated challenges could not be found.…”

Section: Introductionmentioning

confidence: 99%

Pipe Insulation Evaluation for Low-Temperature District Heating Implementation in South Korea

Usman

Kim

2022

Front. Energy Res.

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Future energy systems will comprise 100% renewable energy and involve high integration of energy systems. District heating (DH) and cooling systems will be an undeniable part of future energy systems, as they facilitate high-efficiency, low-cost, and clean production. Low-temperature district heating (LTDH) is one of the candidates for future district heating systems, where the supply temperature is 60°C or below. Reducing heat losses from the pipe network in DH systems is challenging. Improving the insulation standards in DH pipes can decrease heat and temperature losses in the pipe networks. This study employs computational fluid dynamics to evaluate the optimum insulation thickness based on the material and digging costs in South Korea. A micro hybrid DH system with natural gas run fuel cell, heat pump and solar thermal is proposed in this study. An evaluation of the system with a 500 m pipe network system supplying hot water at 60°C with polyethylene, ethylene propylene diene monomer rubber, and polyurethane as insulation materials using ANSYS Fluent 17.2 shows that the heat losses are minimal when using PU foams. A cost estimation analysis showed that 32 mm was the optimum insulation thickness for achieving heat losses below 20 W/m and minimum material and digging costs when burring the pipeline network in the ground.

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Section: Introductionmentioning

confidence: 99%