Design and technoeconomic assessment of a self-powered thermoelectric steam trap monitoring system for energy efficiency and decarbonization in industrial steam networks

IF 7.5 2区 工程技术 Q2 ENERGY & FUELS
Yusuf Enes Tatar, Nehir Tokgoz, Ceyhun Yilmaz
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Abstract

Industrial steam systems are major energy consumers in manufacturing, and undetected steam-trap failures cause persistent steam losses, increased boiler fuel demand, and avoidable carbon emissions. This study evaluates a self-powered monitoring concept in which thermoelectric generators (TEGs) harvest heat at steam-trap locations to operate duty-cycled sensing and LoRaWAN communication nodes without routine battery replacement or dedicated field wiring. The steam network of a real textile facility was modeled in Engineering Equation Solver and assessed through integrated energy, exergy, economic, and environmental analyses. At the nominal conditions of 170 °C steam temperature and 25 °C ambient temperature, the calculated pipeline heat loss was 27.91 W/m; a single TEC1–12706 module generated 0.1722 W, corresponding to 6.887 W and 55.09 kWh/year for the 40-trap network. The resulting energy and exergy efficiencies were 1.02% and 5.86%, while a single module supplied approximately 129 times the assumed average monitoring-node demand. Sensitivity analyses of steam temperature, cold-side thermal resistance, and module number confirmed that performance is governed primarily by the available temperature difference and heat-rejection conditions. The complete installed network cost was estimated at 2890–9200 $, with 4800 $ adopted for the moderate scenario. Electricity generation alone yielded an impractical payback period of 580.8 years; assumed monitoring-enabled fuel-demand reductions of 2%, 5%, and 10% reduced it to 2.56, 0.98, and 0.48 years, with corresponding scenario-based total savings of 23.75, 59.35, and 118.7 t CO₂/year against only 0.0117 t CO₂/year from direct TEG output. These values are potential, scenario-based monitoring-enabled benefits rather than field-verified savings. The results indicate that TEGs are more appropriately regarded as autonomous power sources for intelligent steam-trap monitoring than as primary electricity-generation devices.
工业蒸汽网络节能脱碳自供电热电疏水阀监测系统的设计与技术经济评价
工业蒸汽系统是制造业中主要的能源消耗者,未被发现的蒸汽疏水阀故障会导致持续的蒸汽损失,增加锅炉燃料需求,以及可避免的碳排放。本研究评估了一种自供电监测概念,其中热电发电机(teg)在蒸汽疏水阀位置收集热量,以运行占空比传感和LoRaWAN通信节点,而无需常规更换电池或专用现场布线。在工程方程求解器中对某纺织设备的蒸汽网络进行建模,并通过综合能源、能源、经济和环境分析对其进行评估。在蒸汽温度为170℃、环境温度为25℃的工况下,计算得到的管道热损失为27.91 W/m;单个TEC1-12706模块输出功率为0.1722 W, 40 trap组网年输出功率为6.887 W,年输出功率为55.09 kWh。由此产生的能源和火用效率分别为1.02%和5.86%,而单个模块的供应大约是假设的平均监控节点需求的129倍。对蒸汽温度、冷侧热阻和模块数量的敏感性分析证实,性能主要由可用的温差和散热条件决定。完整安装的网络成本估计为2890-9200美元,中等场景采用4800美元。仅发电就产生了580.8年的不切实际的投资回收期;假设监测后的燃料需求减少了2%、5%和10%,分别减少了2.56年、0.98年和0.48年,相应的情景下,每年可节省23.75吨、59.35吨和118.7吨二氧化碳,而直接TEG输出仅节省0.0117吨二氧化碳。这些价值是潜在的、基于场景的监控带来的好处,而不是现场验证的节省。结果表明,在智能疏水阀监测中,teg更适合作为自主电源,而不是作为主要发电设备。
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来源期刊
Applied Thermal Engineering
Applied Thermal Engineering 工程技术-工程:机械
CiteScore
11.30
自引率
15.60%
发文量
1474
审稿时长
57 days
期刊介绍: Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.
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