{"title":"基于处理效率和能耗双重约束的含油污泥超临界水处理优化方法","authors":"Peng Zhang , Xinbao Xu , Jing Liu , Xiaoming Luo","doi":"10.1016/j.esi.2025.10.001","DOIUrl":null,"url":null,"abstract":"<div><div>The high energy consumption of supercritical water oxidation (SCWO) technology is a major constraint on its industrial application. Existing studies have predominantly focused on treatment efficiency, lacking energy consumption evaluation methods and optimization of operational parameters based on energy usage. This study experimentally investigates the reaction sensitivity and interactions of temperature, oxidation coefficient, time, and pressure in the SCWO of oily sludge. The results show that temperature has the strongest reaction sensitivity for treatment efficiency, while the effect of pressure can be neglected. Enhancing another operating parameter within any given range of one operating parameter will promote the reaction. Additionally, a dual-constraint reaction prediction model, coupling treatment efficiency with energy consumption, was developed. Results show that temperature not only determines the endothermic heating of the reaction but also influences exothermic oxidation and thermal recovery through its effect on treatment efficiency. The optimal operating parameters for maximum COD removal efficiency (CRE) and minimum energy consumption were found to be <em>T</em> = 766 K, OC= 2.59, and <em>t</em> = 318 s, resulting in a CRE of 99.41 % and a theoretical energy consumption (<em>Q</em><sub>th</sub>) of 85.99 kJ. These findings provide critical insights for the industrial application of SCWO technology in treating oily sludge.</div></div>","PeriodicalId":100486,"journal":{"name":"Environmental Surfaces and Interfaces","volume":"3 ","pages":"Pages 275-287"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization method of supercritical water treatment of oily sludge based on double constraints of treatment efficiency and energy consumption\",\"authors\":\"Peng Zhang , Xinbao Xu , Jing Liu , Xiaoming Luo\",\"doi\":\"10.1016/j.esi.2025.10.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The high energy consumption of supercritical water oxidation (SCWO) technology is a major constraint on its industrial application. Existing studies have predominantly focused on treatment efficiency, lacking energy consumption evaluation methods and optimization of operational parameters based on energy usage. This study experimentally investigates the reaction sensitivity and interactions of temperature, oxidation coefficient, time, and pressure in the SCWO of oily sludge. The results show that temperature has the strongest reaction sensitivity for treatment efficiency, while the effect of pressure can be neglected. Enhancing another operating parameter within any given range of one operating parameter will promote the reaction. Additionally, a dual-constraint reaction prediction model, coupling treatment efficiency with energy consumption, was developed. Results show that temperature not only determines the endothermic heating of the reaction but also influences exothermic oxidation and thermal recovery through its effect on treatment efficiency. The optimal operating parameters for maximum COD removal efficiency (CRE) and minimum energy consumption were found to be <em>T</em> = 766 K, OC= 2.59, and <em>t</em> = 318 s, resulting in a CRE of 99.41 % and a theoretical energy consumption (<em>Q</em><sub>th</sub>) of 85.99 kJ. These findings provide critical insights for the industrial application of SCWO technology in treating oily sludge.</div></div>\",\"PeriodicalId\":100486,\"journal\":{\"name\":\"Environmental Surfaces and Interfaces\",\"volume\":\"3 \",\"pages\":\"Pages 275-287\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Surfaces and Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949864325000219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Surfaces and Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949864325000219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
超临界水氧化(SCWO)技术的高能耗是制约其工业化应用的主要因素。现有研究主要集中在处理效率方面,缺乏能耗评价方法和基于能耗的操作参数优化。本研究通过实验研究了温度、氧化系数、时间和压力在含油污泥SCWO中的反应敏感性及其相互作用。结果表明,温度对处理效率的反应敏感性最强,压力的影响可以忽略不计。在一个操作参数的任何给定范围内提高另一个操作参数将促进反应。建立了处理效率与能耗耦合的双约束反应预测模型。结果表明,温度不仅决定了反应的吸热加热,还通过对处理效率的影响影响放热氧化和热回收。最大COD去除效率的最优操作参数(CRE)和最小的能源消耗是766 T = K, OC = 2.59和318 T = 年代,导致CRE 99.41 %和理论能耗(地址)的85.99 kJ。这些发现为SCWO技术在含油污泥处理中的工业应用提供了重要的见解。
Optimization method of supercritical water treatment of oily sludge based on double constraints of treatment efficiency and energy consumption
The high energy consumption of supercritical water oxidation (SCWO) technology is a major constraint on its industrial application. Existing studies have predominantly focused on treatment efficiency, lacking energy consumption evaluation methods and optimization of operational parameters based on energy usage. This study experimentally investigates the reaction sensitivity and interactions of temperature, oxidation coefficient, time, and pressure in the SCWO of oily sludge. The results show that temperature has the strongest reaction sensitivity for treatment efficiency, while the effect of pressure can be neglected. Enhancing another operating parameter within any given range of one operating parameter will promote the reaction. Additionally, a dual-constraint reaction prediction model, coupling treatment efficiency with energy consumption, was developed. Results show that temperature not only determines the endothermic heating of the reaction but also influences exothermic oxidation and thermal recovery through its effect on treatment efficiency. The optimal operating parameters for maximum COD removal efficiency (CRE) and minimum energy consumption were found to be T = 766 K, OC= 2.59, and t = 318 s, resulting in a CRE of 99.41 % and a theoretical energy consumption (Qth) of 85.99 kJ. These findings provide critical insights for the industrial application of SCWO technology in treating oily sludge.