Economic thickness and life cycle cost analysis of insulating layer for the urban district steam heating pipe

Zhang, Tianhu; Li, Aoqi; Hari, Qiga; Li, Xiaopeng; Rao, Yandi; Tan, Hao; Du, Shenghua; Zhao, Qingxin

doi:10.1016/j.csite.2022.102058

Cited by 10 publications

(5 citation statements)

References 37 publications

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“…The total cost and annual net energy savings can be calculated by using the following formulas. 26 – 30 where C f ˈis the difference between the energy cost for the uninsulated and insulated pipes. The payback period can be evaluated as the self-compensation process of the effect of insulation thickness cost on energy savings.…”

Section: Methodsmentioning

confidence: 99%

“…P 2 considers the additional investment costs during the life cycle, including pipeline maintenance and resale at the end of the life cycle. 30 Annual fuel consumption corresponding to heat losses from the pipes,…”

Section: Optimization Of Pipes In the Networkmentioning

confidence: 99%

“…The total cost and annual net energy savings can be calculated by using the following formulas. [26][27][28][29][30] C tot = P 1 × C fl + P 2 xC ins (23)…”

Section: Optimization Of Pipes In the Networkmentioning

confidence: 99%

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Optimization insulation thickness and reduction of CO₂ emissions for pipes in all generation district heating networks

Terhan

2022

Science Progress

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District heating systems are provided solutions for the increasing energy problems in high-population cities. Energy costs go up depending on increasing heat loss in DHS's distribution network. Heat loss from the network consists of 5–20% of transferred energy, and this loss is higher than the other losses in the heating system. In the study, heat losses from the pipes such as supply-return pipes, hot water and circulation pipes into heat canals are investigated based on energy, exergy, economic and environmental. Optimum insulation thicknesses, energy savings, reduction of CO2 emissions, the first investment costs and payback periods of the pipes in the network of all-generation district heating systems are investigated by using Life Cycle Cost Analysis (LCCA) method for fuel types like natural gas, fuel oil and coal. Optimum insulation thicknesses are calculated for different nominal sizes of pipes and various insulation materials such as glass wool, and rock wool for the different climatic zones. According to the results of the study, the heat losses from pipes in the 4th generation DHS network are decreased between 38.19% and 33.33% from the warmest climate zone to the coldest climate zone according to the 3rd generation. Energy savings, reduction of CO2 emissions, payback periods and optimum insulation thickness values of supply and return pipes in the network are respectively changed between 7.80–98.86 $/m, 39.61–322.32 kg CO2/year, 0.028–0.38 years and 0.025–0.0105 m depending on various fuel types, insulation materials, nominal size pipes, climatic zones and all generation types.

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Section: Methodsmentioning

confidence: 99%

Section: Optimization Of Pipes In the Networkmentioning

confidence: 99%

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Optimization insulation thickness and reduction of CO₂ emissions for pipes in all generation district heating networks

Terhan

2022

Science Progress

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“…gas/liquid speed and ratio) influence the transfer of volatile elements, thus are key for further improvement [39]. In addition, reactors can also differ in heat exchange properties through altered isolation material, wall thickness, air contact surface area and capital costs because of a different construction philosophy [40]. This means that the found optimal CO2 stripping time, NH3 stripping time, temperature and NaOH dosing are specific for the installation under study.…”

Section: Process Optimisation Modelmentioning

confidence: 99%

Ammonia stripping and scrubbing followed by nitrification and denitrification saves costs for manure treatment based on a calibrated model approach

Vingerhoets,

Brienza,

Sigurnjak

et al. 2023

Chemical Engineering Journal

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“…Zhang et al [21] examined the optimal conditions for using high-temperature-resistant glass wool, SiO 2 aerogel blanket, and aluminum silicate wool as insulation materials on steel pipes used for steam heating in urban districts. HTRGW and SAB demonstrated exceptional economic efficiency when operating under low-temperature circumstances.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Thickness of Multilayer Thermal Insulation on Different Pipelines for Minimizing Overall Cost-Associated Heat Loss

Alrasheed

2024

Processes

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Optimizing the multilayer thermal insulation of pipelines transporting liquids and gases at higher than ambient temperatures is crucial for heat energy conservation and cost optimization. This study utilizes a multi-objective genetic algorithm to optimize the multilayer thermal insulation thickness around a pipe carrying fluid to minimize heat loss and associated costs. The model adopted mathematical associations between design variables and the overall installation cost of layers over a pipe from the available literature. The proposed model considered one or more insulation layers of rock wool and calcium silicate to oil pipelines containing steam, furfural, reduced crude or 300-distillate oil. All calculations considered fixed-charge rates as a fraction of 1 or 0.15. The results were compared with standard values and those predicted by other researchers in the literature. For the steam line, the standard insulation thickness was 50 mm, jumping to 327 mm for rock wool and 232 mm for calcium silicate. However, it decreased to 38 mm for double-layer calcium silicate and 138 mm for double-layer rock wool. For furfural, the insulation thickness was 40 mm, which rose to 159 mm for rock wool and 112 mm for calcium silicate. In general, for all four cases, the results show that using normal insulation thickness is inadequate and not economical. For example, for 300-distillate oil, the present practice puts the cost function at 54 USD/m, which drops to 20 USD/m for rock wool and 24 USD/m each for single-layer silicate and double-layer insulation. This amounts to almost 60% cost savings. Similar trends are observed for the other three cases. This model can provide up to 60% savings in cost and a 92% reduction in heat loss at optimum insulation thickness compared to other models.

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Economic thickness and life cycle cost analysis of insulating layer for the urban district steam heating pipe

Cited by 10 publications

References 37 publications

Optimization insulation thickness and reduction of CO₂ emissions for pipes in all generation district heating networks

Optimization insulation thickness and reduction of CO₂ emissions for pipes in all generation district heating networks

Ammonia stripping and scrubbing followed by nitrification and denitrification saves costs for manure treatment based on a calibrated model approach

Optimizing the Thickness of Multilayer Thermal Insulation on Different Pipelines for Minimizing Overall Cost-Associated Heat Loss

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Economic thickness and life cycle cost analysis of insulating layer for the urban district steam heating pipe

Cited by 10 publications

References 37 publications

Optimization insulation thickness and reduction of CO2 emissions for pipes in all generation district heating networks

Optimization insulation thickness and reduction of CO2 emissions for pipes in all generation district heating networks

Ammonia stripping and scrubbing followed by nitrification and denitrification saves costs for manure treatment based on a calibrated model approach

Optimizing the Thickness of Multilayer Thermal Insulation on Different Pipelines for Minimizing Overall Cost-Associated Heat Loss

Contact Info

Product

Resources

About

Optimization insulation thickness and reduction of CO₂ emissions for pipes in all generation district heating networks

Optimization insulation thickness and reduction of CO₂ emissions for pipes in all generation district heating networks