TY - JOUR AU - Yao, Yuantao AU - Han, Te AU - Yu, Jie AU - Xie, Min TI - Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems JF - ENERGY J2 - ENERGY VL - 291 PY - 2024 SN - 0360-5442 DO - 10.1016/j.energy.2024.130419 UR - https://m2.mtmt.hu/api/publication/34541885 ID - 34541885 LA - English DB - MTMT ER - TY - JOUR AU - Yeo, Lip Siang AU - Tiang, Celine Wei Ping AU - Teng, Sin Yong AU - Ng, Wendy Pei Qin AU - Lim, Chun Hsion AU - Leong, Wei Dong AU - Lam, Hon Loong AU - Sunarso, Jaka AU - How, Bing Shen TI - Rethinking circularity with Re-refineries and supply chains reintegration via multi-objective pareto graph theoretical approach JF - ENERGY J2 - ENERGY VL - 279 PY - 2023 SN - 0360-5442 DO - 10.1016/j.energy.2023.127814 UR - https://m2.mtmt.hu/api/publication/34142570 ID - 34142570 N1 - Research Centre for Sustainable Technologies, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Jalan Simpang Tiga, Sarawak, Kuching, 93350, Malaysia Radboud University, Institute for Molecules and Materials, P.O. Box 9010, Nijmegen, 6500 GL, Netherlands Petroleum and Chemical Engineering Programme Area, Universiti Teknologi Brunei, Gadong, BE1410, Brunei Darussalam School of Engineering and Physical Sciences, Heriot-Watt University Malaysia, Jalan Venna P5/2, Precinct 5, Putrajaya, 62200, Malaysia Ramssol Group Berhad, B-04-05, Tamarind Square, Persiaran Multimedia, Selangor, Cyberjaya, 63000, Malaysia Department of Chemical and Environmental Engineering, University of Nottingham Malaysia Campus, Jalan Broga, Selangor, Semenyih, 43500, Malaysia Export Date: 16 October 2023 CODEN: ENEYD Correspondence Address: How, B.S.; Research Centre for Sustainable Technologies, Jalan Simpang Tiga, Sarawak, Malaysia; email: bshow@swinburne.edu.my Funding details: Swinburne University of Technology Sarawak Campus Funding details: Ministry of Higher Education, Malaysia, MOHE, FRGS/1/2020/TK0/SWIN/03/3 Funding text 1: The authors would like to acknowledge the financial support from (i) the Ministry of Higher Education (MOHE), Malaysia , via FRGS Grant ( FRGS/1/2020/TK0/SWIN/03/3 ) and (ii) Swinburne University of Technology Sarawak Campus in the form of Fee waiver scholarship. Furthermore, the guidance and support from co-authors in improving this work. LA - English DB - MTMT ER - TY - BOOK AU - Friedler, Ferenc AU - Orosz, Ákos AU - Pimentel Losada, Jean TI - P-graphs for process systems engineering: Mathematical models and algorithms PB - Springer Netherlands CY - Cham PY - 2022 SP - 261 SN - 9783030922160 DO - 10.1007/978-3-030-92216-0 UR - https://m2.mtmt.hu/api/publication/32681060 ID - 32681060 N1 - Cited By :19 Export Date: 16 October 2023 Correspondence Address: Friedler, F.; Széchenyi István UniversityHungary LA - English DB - MTMT ER - TY - JOUR AU - Ondruška, V. AU - How, B.S. AU - Netolický, M. AU - Máša, V. AU - Teng, S.Y. TI - Resource optimisation in aquaponics facility via process monitoring and graph-theoretical approach JF - CARBON RESOURCES CONVERSION J2 - CARBON RESOURCES CONVERS VL - 2022 PY - 2022 IS - 15 SP - 4 EP - 255 PG - 252 SN - 2588-9133 DO - 10.1016/j.crcon.2022.04.003 UR - https://m2.mtmt.hu/api/publication/33091565 ID - 33091565 LA - English DB - MTMT ER - TY - JOUR AU - Pimentel, Jean AU - Aboagye, Emmanuel AU - Orosz, Ákos AU - Markót, Mihály Csaba AU - Cabezas, Heriberto AU - Friedler, Ferenc AU - Yenkie, Kirti M. TI - Enabling technology models with nonlinearities in the synthesis of wastewater treatment networks based on the P-graph framework JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 167 PY - 2022 PG - 15 SN - 0098-1354 DO - 10.1016/j.compchemeng.2022.108034 UR - https://m2.mtmt.hu/api/publication/33204707 ID - 33204707 N1 - Funding Agency and Grant Number: project, "National Laboratories 2020 Program - Artificial Intelligence Subprogram - Establishment of the National Artificial Intelligence Laboratory (MILAB) at Szechenyi Istvan University" [NKFIH-870-21/2020]; National Research, Development and Innovation Fund of Hungary under the Thematic Excellence Programme 2020-National Challenges sub-program funding scheme [TKP2020-NKA-10, 2020-4.1.1-TKP2020] Funding text: The research presented in this paper was partially funded by the project, "National Laboratories 2020 Program - Artificial Intelligence Subprogram - Establishment of the National Artificial Intelligence Laboratory (MILAB) at Szechenyi Istvan University (NKFIH-870-21/2020)." Project TKP2020-NKA-10 has been implemented with the support provided by the National Research, Development and Innovation Fund of Hungary, financed under the 2020-4.1.1-TKP2020 Thematic Excellence Programme 2020-National Challenges sub-program funding scheme. AB - Designing effective wastewater treatment networks is challenging because of the large number of treatment options available for performing similar tasks. Each treatment option has variability in cost and contaminant removal efficiency. Moreover, their mathematical models are highly nonlinear, thus rendering them computationally intensive. Such systems yield mixed-integer nonlinear programming models which cannot be solved properly with contemporary optimization tools that may result in local optima or may fail to converge. Herein, the P-graph framework is employed, thus generating all potentially feasible process structures, which results in simpler, smaller mathematical models. All potentially feasible process networks are evaluated by nonlinear programming resulting in guaranteed global optimum; furthermore, the ranked list of the n-best networks is also available. With the proposed tool, better facilities can be designed handling complex waste streams with minimal cost and reasonable environmental impact. The novel method is illustrated with two case studies showing its computational effectiveness. LA - English DB - MTMT ER - TY - JOUR AU - Bertók, Botond AU - Csendes, Tibor AU - Galambos, Gábor TI - Operations research in Hungary: VOCAL 2018 JF - CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH J2 - CEJOR VL - 29 PY - 2021 IS - 2 SP - 379 EP - 386 PG - 8 SN - 1435-246X DO - 10.1007/s10100-021-00741-w UR - https://m2.mtmt.hu/api/publication/31971129 ID - 31971129 N1 - ISSN:1435-246X LA - English DB - MTMT ER - TY - JOUR AU - Cabral, Charlette AU - Andiappan, Viknesh AU - Aviso, Kathleen AU - Tan, Raymond TI - Equipment size selection for optimizing polygeneration systems with reliability aspects JF - ENERGY J2 - ENERGY VL - 234 PY - 2021 PG - 12 SN - 0360-5442 DO - 10.1016/j.energy.2021.121302 UR - https://m2.mtmt.hu/api/publication/32315944 ID - 32315944 N1 - Chemical Engineering Department, De La Salle University, Taft Avenue, Manila, 2401, Philippines School of Engineering and Physical Sciences, Heriot-Watt University Malaysia, Putrajaya, Malaysia Cited By :1 Export Date: 17 October 2023 CODEN: ENEYD Correspondence Address: Aviso, K.; Chemical Engineering Department, Taft Avenue, Philippines; email: kathleen.aviso@dlsu.edu.ph AB - Polygeneration systems produce multiple energy streams and other useful outputs at high efficiency and lower environmental impact than stand-alone systems. The interdependency among process units can however lead to cascading failures when equipment capacity fails to meet its load requirement. Since process units are commercially available in discrete sizes, the overall reliability of a polygeneration system is dependent on capacity-load ratio of the selected equipment. The conventional definition of reliability, which is based on whether equipment are operational or not, fails to account for the capacity-load ratio. To address this gap, this paper presents a mixed-integer nonlinear programming (MINLP) model for the synthesis of an optimal energy system that meets reliability specifications. The system reliability is optimized through selection of equipment capacity considering each process unit's intrinsic reliability profile relative to its capacity-load ratio. The rated capacity of the selected equipment size should exceed the expected load of each process unit by a margin that gives the required reliability. The model is applied to a polygeneration system case study to demonstrate its capabilities. The results emphasize the tradeoff between the total annualized cost and the system reliability. (c) 2021 Elsevier Ltd. All rights reserved. LA - English DB - MTMT ER - TY - CHAP AU - Chin, Hon Huin AU - Wang, Bohong AU - Varbanov, Petar Sabev AU - Klemeš, Jiří Jaromír TI - Markov Decision Process to Optimise Long-term Asset Maintenance and Technologies Investment in Chemical Industry T2 - 31st European Symposium on Computer Aided Process Engineering PB - Elsevier CY - Istanbul SN - 9780323885065 T3 - ; 50. PY - 2021 SP - 1853 EP - 1858 PG - 6 DO - 10.1016/B978-0-323-88506-5.50287-4 UR - https://m2.mtmt.hu/api/publication/32106185 ID - 32106185 LA - English DB - MTMT ER - TY - JOUR AU - Éles, András AU - Heckl, István AU - Cabezas, Heriberto TI - Modeling technique in the P-Graph framework for operating units with flexible input ratios JF - CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH J2 - CEJOR VL - 29 PY - 2021 IS - 2 SP - 463 EP - 489 PG - 27 SN - 1435-246X DO - 10.1007/s10100-020-00683-9 UR - https://m2.mtmt.hu/api/publication/31339073 ID - 31339073 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary Laudato Si Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, Budapest, Hungary Cited By :7 Export Date: 11 October 2022 Correspondence Address: Éles, A.; Department of Computer Science and Systems Technology, Hungary; email: eles@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Ling, Wen Choong AU - Andiappan, Viknesh AU - Chew, Irene M. L. TI - Design of energy systems with redundancy allocation for unit operations based on supply reliability JF - INTERNATIONAL JOURNAL OF ENERGY RESEARCH J2 - INT J ENERG RES VL - 45 PY - 2021 IS - 15 SP - 21114 EP - 21139 PG - 26 SN - 0363-907X DO - 10.1002/er.7167 UR - https://m2.mtmt.hu/api/publication/32315945 ID - 32315945 AB - Several mathematical models have been developed in the past to consider reliability when designing energy systems. However, these models focus on the system reliability which only considers the operability of the system. Hence, a reliability indicator called supply reliability is introduced to explicitly assess an energy system's reliability meeting the desired energy demand. Besides, previous models can only allocate equipment with identical sizes and equipment reliability. This could overdesign systems and ignore the possibility of allocating a combination of different equipment sizes and reliability. This paper presents a combinatory matrix methodology for allocating equipment with different sizes and reliabilities to improve supply reliability of an energy system design. This combinatory matrix method is a novel feature that allows decision-makers to efficiently evaluate various configurations of equipment based on size and reliability. A case study consisting of a power distribution network is first presented and solved as a pedagogical example to illustrate the methodology and features of the proposed approach. Then, a large-scale power system case study in Malaysia combining existing conventional power equipment and a palm-based bioelectricity supply chain is solved. Based on the optimized results, the redundancy allocated increased the energy generated from the bioelectricity supply chain by 74.14% and cost by 82.96% to achieve the desired energy demand at high supply reliability. This allows decision-makers to determine the cost associated with improving supply reliability for an energy system. LA - English DB - MTMT ER - TY - JOUR AU - Mimica, Marko AU - De Urtasun, Laura Giménez AU - Krajačić, Goran TI - A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty JF - ENERGY J2 - ENERGY VL - 1 PY - 2021 IS - 1 SN - 0360-5442 DO - 10.1016/j.energy.2021.122769 UR - https://m2.mtmt.hu/api/publication/32517502 ID - 32517502 LA - English DB - MTMT ER - TY - JOUR AU - Cao, Jian AU - He, Yanlin AU - Zhu, Qunxiong TI - Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 59 PY - 2020 IS - 42 SP - 18965 EP - 18976 PG - 12 SN - 0888-5885 DO - 10.1021/acs.iecr.0c03563 UR - https://m2.mtmt.hu/api/publication/31637270 ID - 31637270 N1 - College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China Engineering Research Center of Intelligent Pse, Ministry of Education of China, Beijing, 100029, China Cited By :6 Export Date: 13 October 2023 CODEN: IECRE Correspondence Address: He, Y.; College of Information Science and Technology, China; email: heyl@mail.buct.edu.cn Correspondence Address: Zhu, Q.; College of Information Science and Technology, China; email: buctielab@hotmail.com Funding details: National Natural Science Foundation of China, NSFC, 61533003 Funding text 1: This research was supported by the National Natural Science Foundation of China under grant no. 61533003. LA - English DB - MTMT ER - TY - JOUR AU - Cao, Jian AU - He, Yan-Lin AU - Zhu, Qun-Xiong TI - Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry JF - CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS J2 - CHEMOMETR INTELL LAB VL - 205 PY - 2020 SN - 0169-7439 DO - 10.1016/j.chemolab.2020.104119 UR - https://m2.mtmt.hu/api/publication/31637271 ID - 31637271 N1 - College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, 100029, China Engineering Research Center of Intelligent PSE, Ministry of Education of China, Beijing, 100029, China Cited By :1 Export Date: 5 April 2021 CODEN: CILSE Correspondence Address: Zhu, Q.-X.; College of Information Science & Technology, China; email: zhuqx@mail.buct.edu.cn Correspondence Address: He, Y.-L.; College of Information Science & Technology, China; email: heyl@mail.buct.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 61533003, 61703027 Funding text 1: This research is supported by the National Natural Science Foundation of China under Grant No. 61533003 and 61703027 . College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, 100029, China Engineering Research Center of Intelligent PSE, Ministry of Education of China, Beijing, 100029, China Cited By :1 Export Date: 11 July 2021 CODEN: CILSE Correspondence Address: Zhu, Q.-X.; College of Information Science & Technology, China; email: zhuqx@mail.buct.edu.cn Correspondence Address: He, Y.-L.; College of Information Science & Technology, China; email: heyl@mail.buct.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 61533003, 61703027 Funding text 1: This research is supported by the National Natural Science Foundation of China under Grant No. 61533003 and 61703027 . College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, 100029, China Engineering Research Center of Intelligent PSE, Ministry of Education of China, Beijing, 100029, China Cited By :1 Export Date: 31 August 2021 CODEN: CILSE Correspondence Address: Zhu, Q.-X.; College of Information Science & Technology, China; email: zhuqx@mail.buct.edu.cn Correspondence Address: He, Y.-L.; College of Information Science & Technology, China; email: heyl@mail.buct.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 61533003, 61703027 Funding text 1: This research is supported by the National Natural Science Foundation of China under Grant No. 61533003 and 61703027 . LA - English DB - MTMT ER - TY - JOUR AU - Pimentel, Jean AU - Rodríguez, Gerardo AU - Gil, Iván TI - Synthesis of Alternative Cost-Effective Process Flowsheets for Lactic Acid Valorization by Means of the P-Graph Methodology JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 59 PY - 2020 IS - 13 SP - 5921 EP - 5930 PG - 10 SN - 0888-5885 DO - 10.1021/acs.iecr.9b06555 UR - https://m2.mtmt.hu/api/publication/31301177 ID - 31301177 N1 - Grupo de Procesos Químicos y Bioquímicos, Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogotá, 111321, Colombia Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, Szentkirályi utca 28, Budapest, 1088, Hungary Cited By :1 Export Date: 5 April 2021 CODEN: IECRE Correspondence Address: Gil, I.; Grupo de Procesos Químicos y Bioquímicos, Colombia; email: idgilc@unal.edu.co Funding details: Universidad Nacional de Colombia, UNAL, 41724 Funding text 1: The authors acknowledge the financial support provided by the Institute for Process Systems Engineering and Sustainability of Pázmany Péter Catholic University, as well as the financial support provided by Universidad Nacional de Colombia (project no. 41724—Producción de Lactato de Isoamilo por Destilación Reactiva). The authors are grateful to Angela Maldonado for providing them with useful industrial information regarding the project. The authors are also grateful to Dr. Andres Argoti for his critical proofreading of the manuscript. Grupo de Procesos Químicos y Bioquímicos, Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogotá, 111321, Colombia Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, Szentkirályi utca 28, Budapest, 1088, Hungary Cited By :1 Export Date: 11 July 2021 CODEN: IECRE Correspondence Address: Gil, I.; Grupo de Procesos Químicos y Bioquímicos, Colombia; email: idgilc@unal.edu.co Funding details: Universidad Nacional de Colombia, UNAL, 41724 Funding text 1: The authors acknowledge the financial support provided by the Institute for Process Systems Engineering and Sustainability of Pázmany Péter Catholic University, as well as the financial support provided by Universidad Nacional de Colombia (project no. 41724—Producción de Lactato de Isoamilo por Destilación Reactiva). The authors are grateful to Angela Maldonado for providing them with useful industrial information regarding the project. The authors are also grateful to Dr. Andres Argoti for his critical proofreading of the manuscript. Grupo de Procesos Químicos y Bioquímicos, Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogotá, 111321, Colombia Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, Szentkirályi utca 28, Budapest, 1088, Hungary Cited By :1 Export Date: 31 August 2021 CODEN: IECRE Correspondence Address: Gil, I.; Grupo de Procesos Químicos y Bioquímicos, Colombia; email: idgilc@unal.edu.co Funding details: Universidad Nacional de Colombia, UNAL, 41724 Funding text 1: The authors acknowledge the financial support provided by the Institute for Process Systems Engineering and Sustainability of Pázmany Péter Catholic University, as well as the financial support provided by Universidad Nacional de Colombia (project no. 41724—Producción de Lactato de Isoamilo por Destilación Reactiva). The authors are grateful to Angela Maldonado for providing them with useful industrial information regarding the project. The authors are also grateful to Dr. Andres Argoti for his critical proofreading of the manuscript. LA - English DB - MTMT ER - TY - JOUR AU - Süle, Zoltán AU - Baumgartner, János AU - Fogarassyné Vathy, Ágnes TI - Managing Alternative Patient Appointments Using P-Graph Methodology JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 271 PY - 2020 SP - 57 EP - 64 PG - 8 SN - 0926-9630 DO - 10.3233/SHTI200074 UR - https://m2.mtmt.hu/api/publication/31361333 ID - 31361333 N1 - WoS:hiba:000719574300008 2022-12-21 18:39 típus nem egyezik AB - Background: Patient appointment scheduling is one of the main challenging tasks in the healthcare administration and is constantly in the focus of theoretical researches. Objectives: The aim of this study was to investigate the applicability of the P-graph (Process graph) methodology to find the n-best alternative for patient's scheduling. Methods: The patient appointment scheduling task was formalised as an integer linear programming problem and was considered as a process network synthesis problem. The optimal and n-best alternative solutions were determined by an efficient branch and bound algorithm implemented in a decision support system. Results: Experimental results show, that the P-graph methodology can be effectively applied to produce the optimal scheduling for the examinations and to find the alternatives of the best scheduling. LA - English DB - MTMT ER - TY - JOUR AU - Mu, Peng AU - Yang, Yu AU - Han, YongMing AU - Gu, Xiangbai AU - Zhu, QunXiong TI - Raw material management networks based on an improved P‐graph integrated carbon emission pinch analysis (CEPA‐P‐graph) method JF - CANADIAN JOURNAL OF CHEMICAL ENGINEERING J2 - CAN J CHEM ENG VL - 98 PY - 2019 IS - 3 SP - 676 EP - 689 PG - 14 SN - 0008-4034 DO - 10.1002/cjce.23682 UR - https://m2.mtmt.hu/api/publication/31040412 ID - 31040412 N1 - College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, China College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China Engineering Research Centre of Intelligent PSE, Ministry of Education in China, Beijing, China Cited By :1 Export Date: 5 April 2021 CODEN: CJCEA Correspondence Address: Zhu, Q.; College of Chemical Engineering, China; email: zhuqx@mail.buct.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 61533003 Funding text 1: This research was supported by grants from the National Natural Science Foundation of China (grant number 61533003). College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, China College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China Engineering Research Centre of Intelligent PSE, Ministry of Education in China, Beijing, China Cited By :2 Export Date: 11 July 2021 CODEN: CJCEA Correspondence Address: Zhu, Q.; College of Chemical Engineering, China; email: zhuqx@mail.buct.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 61533003 Funding text 1: This research was supported by grants from the National Natural Science Foundation of China (grant number 61533003). College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, China College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China Engineering Research Centre of Intelligent PSE, Ministry of Education in China, Beijing, China Cited By :2 Export Date: 31 August 2021 CODEN: CJCEA Correspondence Address: Zhu, Q.; College of Chemical Engineering, China; email: zhuqx@mail.buct.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 61533003 Funding text 1: This research was supported by grants from the National Natural Science Foundation of China (grant number 61533003). LA - English DB - MTMT ER - TY - JOUR AU - Walmsley, Timothy Gordon AU - Varbanov, Petar Sabev AU - Aviso, Kathleen AU - You, Fengqi TI - Energy integration and optimisation for sustainable total site, process and equipment design JF - ENERGY J2 - ENERGY VL - 186 PY - 2019 PG - 6 SN - 0360-5442 DO - 10.1016/j.energy.2019.115896 UR - https://m2.mtmt.hu/api/publication/31045026 ID - 31045026 N1 - Sustainable Process Integration Laboratory, SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology, VUT Brno, Technická 2896/2, Brno, 616 69, Czech Republic Chemical Engineering Department, Gokongwei College of Engineering, De La Salle University, Philippines Smith School of Chemical and Biomolecular Engineering, Cornell University, New York, United States Cited By :1 Export Date: 1 September 2019 CODEN: ENEYD Correspondence Address: Walmsley, T.G.; Sustainable Process Integration Laboratory, SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology, VUT Brno, Technická 2896/2, Czech Republic; email: walmsley@fme.vutbr.cz AB - The current Virtual Special Issue of the Energy Journal contains cutting-edge developments in energy research that were presented at the 21st Conference on Process Integration for Energy Saving and Pollution Reduction, held in Prague, Czech Republic, on 25-29 August 2018. Conference PRES hosted more than 234 oral and 221 poster presentations. Out of these papers, the 34 contributions in this VSI represent a selection of the most significant developments in the area of energy research, and each article includes extensions and additional results beyond the conference paper. Conference PRES is an annual symposium that aims to attract thought-leaders and academics to facilitate an ongoing discussion around energy, the impact on the environment, and the way forward. This paper provides an overview of each contribution, the context of their development, and groups them into four research themes: (1) Heat Exchangers and Heat Exchanger Networks, (2) System Optimisation, (3) System Design and Analysis, and (4) Process and System Synthesis. (C) 2019 Elsevier Ltd. All rights reserved. LA - English DB - MTMT ER -