• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

社论《工业能源系统的热力学优化》

Editorial "Thermodynamic Optimization of Industrial Energy Systems".

作者信息

Florez-Orrego Daniel, Ribeiro Domingos Meire Ellen, Nogueira Nakashima Rafael

机构信息

Industrial Process and Energy Systems Engineering, École Polytechnique Fédérale de Lausanne, 1950 Sion, Valais, Switzerland.

Faculty of Mines, National University of Colombia, Av. 80 #65-223, Medellin 1779, Antioquia, Colombia.

出版信息

Entropy (Basel). 2024 Dec 3;26(12):1047. doi: 10.3390/e26121047.

DOI:10.3390/e26121047
PMID:39766676
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11726709/
Abstract

Thermodynamic optimization of industrial energy systems is crucial for finding solutions to reduce energy consumption and mitigate losses, leading to environmental and economic benefits [...].

摘要

工业能源系统的热力学优化对于寻找降低能源消耗和减少损失的解决方案至关重要,从而带来环境和经济效益[……]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e80f/11726709/731563b743f7/entropy-26-01047-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e80f/11726709/731563b743f7/entropy-26-01047-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e80f/11726709/731563b743f7/entropy-26-01047-g001.jpg

相似文献

1
Editorial "Thermodynamic Optimization of Industrial Energy Systems".社论《工业能源系统的热力学优化》
Entropy (Basel). 2024 Dec 3;26(12):1047. doi: 10.3390/e26121047.
2
Economic and environmental optimization of a multi-site utility network for an industrial complex.工业建筑群多站点公用设施网络的经济和环境优化。
J Environ Manage. 2010 Jan-Feb;91(3):690-705. doi: 10.1016/j.jenvman.2009.09.033. Epub 2009 Oct 31.
3
Unveiling the industrial synergy optimization pathways in Beijing-Tianjin-Hebei urban agglomeration based on water-energy-carbon nexus.
J Environ Manage. 2025 Mar;376:124528. doi: 10.1016/j.jenvman.2025.124528. Epub 2025 Feb 15.
4
Emergy-based comparative analysis of energy intensity in different industrial systems.基于能值的不同工业系统能源强度比较分析
Environ Sci Pollut Res Int. 2015 Dec;22(23):18687-98. doi: 10.1007/s11356-015-4957-x. Epub 2015 Jul 17.
5
Exergetic sustainability analysis of industrial furnace: a case study.工业炉的能量可持续性分析:案例研究。
Environ Sci Pollut Res Int. 2021 Mar;28(10):12881-12888. doi: 10.1007/s11356-020-11280-3. Epub 2020 Oct 23.
6
Time and energy optimal trajectory generation for coverage motion in industrial machines.工业机械覆盖运动的时间和能量最优轨迹生成。
ISA Trans. 2023 Jul;138:735-745. doi: 10.1016/j.isatra.2023.03.025. Epub 2023 Mar 20.
7
Emergy-based sustainability measurement and evaluation of industrial production systems.基于能值的工业生产系统可持续性测度与评价
Environ Sci Pollut Res Int. 2023 Feb;30(9):22375-22387. doi: 10.1007/s11356-022-23749-4. Epub 2022 Oct 26.
8
The impact of cross-region industrial structure optimization on economy, carbon emissions and energy consumption: A case of the Yangtze River Delta.跨区域产业结构优化对经济、碳排放和能源消耗的影响:以长三角为例。
Sci Total Environ. 2021 Jul 15;778:146089. doi: 10.1016/j.scitotenv.2021.146089. Epub 2021 Mar 4.
9
Life Cycle Assessment and Multiobjective Optimization for Steam Cracking Process in Ethylene Plant.乙烯装置蒸汽裂解过程的生命周期评估与多目标优化
ACS Omega. 2022 Apr 27;7(18):15507-15517. doi: 10.1021/acsomega.2c00189. eCollection 2022 May 10.
10
Applying deep learning-based regional feature recognition from macro-scale image to assist energy saving and emission reduction in industrial energy systems.应用基于深度学习的宏观图像区域特征识别,辅助工业能源系统节能降碳。
J Adv Res. 2023 Apr;46:189-197. doi: 10.1016/j.jare.2022.07.003. Epub 2022 Jul 22.

本文引用的文献

1
Advanced Exergy-Based Optimization of a Polygeneration System with CO as Working Fluid.
Entropy (Basel). 2024 Oct 21;26(10):886. doi: 10.3390/e26100886.
2
Optimization and Tradeoff Analysis for Multiple Configurations of Bio-Energy with Carbon Capture and Storage Systems in Brazilian Sugarcane Ethanol Sector.巴西甘蔗乙醇行业生物能源与碳捕获和储存系统多种配置的优化与权衡分析。
Entropy (Basel). 2024 Aug 17;26(8):698. doi: 10.3390/e26080698.
3
Exergoeconomic Analysis and Optimization of a Biomass Integrated Gasification Combined Cycle Based on Externally Fired Gas Turbine, Steam Rankine Cycle, Organic Rankine Cycle, and Absorption Refrigeration Cycle.基于外燃式燃气轮机、蒸汽朗肯循环、有机朗肯循环和吸收式制冷循环的生物质集成气化联合循环的火用经济分析与优化
Entropy (Basel). 2024 Jun 12;26(6):511. doi: 10.3390/e26060511.
4
Simultaneous Optimization and Integration of Multiple Process Heat Cascade and Site Utility Selection for the Design of a New Generation of Sugarcane Biorefinery.新一代甘蔗生物精炼厂设计中多过程热级联的同步优化与整合及厂区公用工程选择
Entropy (Basel). 2024 Jun 8;26(6):501. doi: 10.3390/e26060501.
5
Combining Exergy and Pinch Analysis for the Operating Mode Optimization of a Steam Turbine Cogeneration Plant in Wonji-Shoa, Ethiopia.结合㶲分析与夹点分析对埃塞俄比亚翁吉-绍阿的蒸汽轮机热电联产厂运行模式进行优化
Entropy (Basel). 2024 May 27;26(6):453. doi: 10.3390/e26060453.
6
Techno-Economic Analysis of the Optimum Configuration for Supercritical Carbon Dioxide Cycles in Concentrating Solar Power Systems.聚光太阳能发电系统中超临界二氧化碳循环最优配置的技术经济分析
Entropy (Basel). 2024 Jan 31;26(2):124. doi: 10.3390/e26020124.
7
Exergoeconomic Analysis of a Mechanical Compression Refrigeration Unit Run by an ORC.由有机朗肯循环驱动的机械压缩制冷机组的火用经济分析
Entropy (Basel). 2023 Nov 10;25(11):1531. doi: 10.3390/e25111531.
8
Improved Waste Heat Management and Energy Integration in an Aluminum Annealing Continuous Furnace Using a Machine Learning Approach.使用机器学习方法改善铝退火连续炉中的废热管理与能量集成
Entropy (Basel). 2023 Oct 26;25(11):1486. doi: 10.3390/e25111486.
9
Comparative Exergy and Environmental Assessment of the Residual Biomass Gasification Routes for Hydrogen and Ammonia Production.用于氢气和氨气生产的残余生物质气化路线的比较火用与环境评估
Entropy (Basel). 2023 Jul 22;25(7):1098. doi: 10.3390/e25071098.
10
Modeling and Optimization of Hydraulic and Thermal Performance of a Tesla Valve Using a Numerical Method and Artificial Neural Network.基于数值方法和人工神经网络的特斯拉阀水力与热力性能建模及优化
Entropy (Basel). 2023 Jun 22;25(7):967. doi: 10.3390/e25070967.