The February issue of CJCE features new additions to two ongoing special series: Experimental Methods in Chemical Engineering Special Series and the Pathways to Net-Zero GHG Emissions Special Series.
The Editor’s Choice article of this issue is “Graph-theoretic reliability index for assessing the impact of capital and operating cost constraints in designing reliable energy hubs” by Arman Khani and Vladimir Mahalec from McMaster University and is part of the Pathways to Net-Zero GHG Emissions Special Series. This article “studies [the] reliability of heating and cooling systems constrained either by the annualized capital cost (ACC) or by the annualized total cost (ATC)”. The authors present “a novel approach for assessing the supply reliability, representing energy networks as stochastic graph networks…thereby enabling imposition of operational uncertainties and constraints as well as budgetary limitations as the graph networks’ features.”
The next issue highlight is part of the Experimental Methods in Chemical Engineering Special Series: “Experimental methods in chemical engineering: Electrospinning” by M. Olga Guerrero-Pérez, Tugce N. Eran, and Gregory S. Patience from Polytechnique Montréal. This article provides a thorough overview of electrospinning, including its definition and features, and discusses past research about its application across various disciplines such as “multidisciplinary materials science, polymer science, nanoscience nanotechnology, and applied physics.”
The third issue highlight is a review article titled “Transforming chemical process engineering: The role of AI and machine learning in revolutionizing process systems” by Somnath Chowdhury, Arnab Ghosh, Sayak Acharya, Somashish Saha, Pratyush Kumar Pal, Sumana Roy, and Sandip Kumar Lahiri from National Institute of Technology, Durgapur, India. This review “examines the transformative impact of artificial intelligence (AI) and machine learning (ML) in advancing process systems engineering (PSE) within the chemical process industries” and “provides a comprehensive guide for researchers and practitioners, outlining strategies to harness AI/ML for sustainable and resilient operations in the chemical process industries.”
The final issue highlight is an open access article from authors Leonardo M. de Marco, Jorge Otávio Trierweiler, and Marcelo Farenzena from Federal University of Rio Grande do Sul, Porto Alegre, Brazil, titled “Automatic parameter update algorithm for regression models to estimate remaining useful life: Application in an offshore natural gas dehydration unit”. This article “presents a new methodology for estimating the number of remaining cycles (NRC), or RUL, of equipment in cyclic processes, consisting of an algorithm that allows for the fit of linear and nonlinear models to predict RUL/NRC in a natural gas dehydration unit” and “compares the results of the proposed algorithm with a Bayesian approach”, highlighting “the efficiency of the logistic function in estimating NRC, especially in fixed beds with a similar or higher lifetime than the reference fixed bed.”
CJCE’s latest virtual issue, Editor’s Choice 2025, is now live and features Editor’s Choice articles from each issue published in 2025. Within this virtual issue, you will find articles exploring a variety of topics from across the chemical engineering field. These articles are either open access or have been set as free-to-read for a limited time. Be sure to check out them out!