✦ LIBER ✦

Optimisation for the retrofit of large scale heat exchanger networks with different intensified heat transfer techniques

✍ Scribed by Pan, Ming; Bulatov, Igor; Smith, Robin; Kim, Jin-Kuk

Book ID: 120815517
Publisher: Elsevier Science
Year: 2013
Tongue: English
Weight: 874 KB
Volume: 53
Category: Article
ISSN: 1359-4311
DOI: 10.1016/j.applthermaleng.2012.04.038

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Application of intensified heat transfer

Application of intensified heat transfer for the retrofit of heat exchanger network

✍ Yufei Wang; Ming Pan; Igor Bulatov; Robin Smith; Jin-Kuk Kim 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 517 KB

Novel MILP-based iterative method for th

Novel MILP-based iterative method for the retrofit of heat exchanger networks with intensified heat transfer

✍ Ming Pan; Igor Bulatov; Robin Smith; Jin-Kuk Kim 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 838 KB

Hypertargets: a Conceptual Programming a

Hypertargets: a Conceptual Programming approach for the optimisation of industrial heat exchanger networks — II. Retrofit design

✍ V. Briones; A.C. Kokossis 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 1022 KB

Diverse pinch concept for heat exchange

Diverse pinch concept for heat exchange network synthesis: the case of different heat transfer conditions

✍ E. Rev; Z. Fonyo 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 1010 KB

Optimal artificial neural network archit

Optimal artificial neural network architecture selection for performance prediction of compact heat exchanger with the EBaLM-OTR technique

✍ Dumidu Wijayasekara; Milos Manic; Piyush Sabharwall; Vivek Utgikar 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 841 KB

Artificial Neural Networks (ANN) have been used in the past to predict the performance of printed circuit heat exchangers (PCHE) with satisfactory accuracy. Typically published literature has focused on optimizing ANN using a training dataset to train the network and a testing dataset to evaluate it