Energy system optimization model for tissue papermaking process-Reference-Cited by-同舟云学术

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Energy system optimization model for tissue papermaking process

Published:2021-03 Issue: Volume:146 Page:107220
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Zhang Yang,Hong Mengna,Li Jigeng,Ren Jingzheng,Man Yi

Funder

Hong Kong Polytechnic University

Department of Industrial and Systems Engineering, Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference35 articles.

1. Quadratically constraint quadratical algorithm model for nonlinear minimax problems;Chao;APPL MATH COMPUT,2008

2. Multi-criteria design of shale-gas-water supply chains and production systems towards optimal life cycle economics and greenhouse gas emissions under uncertainty;Chen;Comput Chem Eng,2018

3. Energy system diagnosis of paper-drying process, Part 1: energy performance assessment;Chen;Dry Technol,2016

4. Industrial verification of energy saving for the single-tier cylinder based paper drying process;Chen;Energy,2019

5. Method of Binary Analytic Programming to Look for Optimal Mathematical Expression;Diveev;Procedia Comput Sci,2017

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1. A Deep Learning Hybrid Framework Combining an Efficient Evolutionary Algorithm for Complex Many-Objective Optimization of Sustainable Triple CO₂ Feed Methanol Production;ACS Sustainable Chemistry & Engineering;2024-04-18

2. Possibilities of Reducing the Heat Energy Consumption in a Tissue Paper Machine—Case Study;Energies;2023-04-27

3. Creping technology and its factors for tissue paper production: a review;European Journal of Wood and Wood Products;2023-03-25

4. Optimization Model of Raw Material Selection Process for Complex Industry Based on Improved Sequential Quadratic Programming Algorithm;International Journal of Computational Intelligence Systems;2022-11-30

5. Decarbonization of a tissue paper plant: Advanced numerical simulations to assess the replacement of fossil fuels with a biomass-derived syngas;Renewable Energy;2022-10

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