TY - JOUR AU - Yenkie, K.M. AU - Pimentel, Jean AU - Orosz, Ákos AU - Cabezas, Heriberto AU - Friedler, Ferenc TI - The P-graph approach for systematic synthesis of wastewater treatment networks JF - AICHE JOURNAL J2 - AICHE J VL - 67 PY - 2021 IS - 7 PG - 10 SN - 0001-1541 DO - 10.1002/aic.17253 UR - https://m2.mtmt.hu/api/publication/31951139 ID - 31951139 AB - Wastewater treatment consists of three or four sequential stages: preliminary, primary, secondary, and tertiary. Each stage can comprise multiple alternative technologies that can perform the same tasks with different efficiencies, operating times, and costs. Thus, we propose a systematic approach for designing wastewater treatment networks by utilizing principles of mathematical modeling and generating an exhaustive enumeration of all the possible technologies and their connections during the early stages of designing a treatment facility. Some of these structures are nonintuitive and include recycling, reprocessing, bypasses, and multiple technologies in parallel or series to remove the same contaminant. The nonintuitive structures with multiple technologies may provide a measure of resilience compared to typical heuristic designs. Thus, the combination of P-graph methodology and the sequence of treatment technologies predicted via the optimization algorithm from the maximal structure is based on holistic considerations and does not lead to suboptimal solutions. © 2021 American Institute of Chemical Engineers. LA - English DB - MTMT ER - TY - JOUR AU - Frits, Márton AU - Bertók, Botond TI - Scheduling custom printed napkin manufacturing by P-graphs JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 141 PY - 2020 PG - 19 SN - 0098-1354 DO - 10.1016/j.compchemeng.2020.107017 UR - https://m2.mtmt.hu/api/publication/31415130 ID - 31415130 N1 - Cited By :6 Export Date: 18 November 2022 CODEN: CCEND Correspondence Address: Frits, M.; University of Pannonia, Veszprem, Egyetem str. 10., Hungary; email: frits@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Van Fan, Yee AU - Klemeš, Jiri Jaromir AU - Walmsley, Timothy Gordon AU - Bertók, Botond TI - Implementing Circular Economy in municipal solid waste treatment system using P-graph JF - SCIENCE OF THE TOTAL ENVIRONMENT J2 - SCI TOTAL ENVIRON VL - 701 PY - 2020 PG - 17 SN - 0048-9697 DO - 10.1016/j.scitotenv.2019.134652 UR - https://m2.mtmt.hu/api/publication/31044759 ID - 31044759 N1 - Sustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology – VUT Brno, Technická 2896/2, Brno, 616 00, Czech Republic Faculty of Information Technology, University of Pannonia, Veszprém, 8200, Hungary Cited By :59 Export Date: 18 November 2022 CODEN: STEVA Correspondence Address: Fan, Y.V.; Sustainable Process Integration Laboratory – SPIL, Technická 2896/2, Czech Republic; email: fan@fme.vutbr.cz AB - Municipal solid waste (MSW) is one of the issues associated with the growth of economic and urban population. The aim of this study is to develop an integrated design of waste management systems in support of a Circular Economy by P-graph (a bipartite graphical optimisation tool) as an effective decision support tool. The case study considers four MSW compositions based on different country income levels. Solving the P-graph model identifies the most suitable treatment approaches, considering the economic balance between the main operating cost, type, yield, quality of products, as well as the GHG emission (externality cost). The identification of near-optimal solutions by P-graph is useful in dealing with the trade-offs between conflicting objectives, e.g. local policy and practical implementation, that are difficult to monetise. For a lower-income country, the optimal solution includes a combination of at source separation, recycling, incineration (heat, electricity), anaerobic digestion (biofuel, digestate) and the landfill. It avoids an estimated 411 kg CO2eq/t of processed MSW and achieves a potential profit of 42 SIC/t of processed MSW. The optimisation generally favours mechanical biological treatment as the country income level rises, which affects the composition of the MSW. The relative prices of biofuel, electricity and heat (>20%) cause a significant impact on the highest-ranking treatment structure and overall profit. This study shows that the developed framework by P-graph is an effective tool for MSW systems planning. For future study, localised data inputs can be fed into the proposed framework for a customised solution and economic feasibility assessment. (C) 2019 Elsevier B.V. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Bertók, Botond AU - Foo, Dominic CY AU - Tan, Raymond R TI - Prospects and challenges for chemical process synthesis with P-graph JF - CURRENT OPINION IN CHEMICAL ENGINEERING J2 - CURR OPIN CHEM ENG VL - 26 PY - 2019 SP - 58 EP - 64 PG - 7 SN - 2211-3398 DO - 10.1016/j.coche.2019.08.007 UR - https://m2.mtmt.hu/api/publication/30920524 ID - 30920524 N1 - Pázmány Péter Catholic University, Szentkirályi utca 28, Budapest, 1088, Hungary De La Salle University, 2401 Taft Avenue, Manila, 0922, Philippines University of Pannonia, Egyetem u. 10, Veszprém, 8200, Hungary The University of Nottingham Malaysia, Jalan Broga, Semenyih, Selangor 43500, Malaysia Cited By :35 Export Date: 18 November 2022 LA - English DB - MTMT ER - TY - JOUR AU - Konig, Eva AU - Bertók, Botond TI - Process graph approach for two-stage decision making: Transportation contracts JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 121 PY - 2019 SP - 1 EP - 11 PG - 11 SN - 0098-1354 DO - 10.1016/j.compchemeng.2018.07.011 UR - https://m2.mtmt.hu/api/publication/30318468 ID - 30318468 N1 - Cited By :4 Export Date: 18 November 2022 CODEN: CCEND Correspondence Address: Konig, E.; University of Pannonia, Egyetem street 10, Hungary; email: konig@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Graph-Theoretic Approach to Process Synthesis: Polynomial Algorithm for Maximal Structure Generation JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 17 PY - 1993 SP - 929 EP - 942 PG - 14 SN - 0098-1354 DO - 10.1016/0098-1354(93)80074-W UR - https://m2.mtmt.hu/api/publication/1044846 ID - 1044846 N1 - Department of Systems Engineering, Research Institute of Chemical Engineering, Hungarian Academy of Sciences, Veszprém, Pf. 125, 8201, Hungary Department of Mathematics, University of Veszprém, Veszprém, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :258 Export Date: 16 October 2023 CODEN: CCEND Correspondence Address: Friedler, F. Funding details: U.S. Environmental Protection Agency, EPA, R-815709 Funding text 1: pendently verifying its mathematical contents. Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement R-815709 to the Great Plains/Rocky Mountain Hazardous Substance Research Center with headquarters at Kansas State University, it has not been subjected to the Aaencv’s Deer and administrative review and therefore may not ne&s~arily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by the Hungarian Academy of Sciences and Kansas State University Center for Hazardous Substance. Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Combinatorial Algorithms for Process Synthesis JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 16 PY - 1992 SP - S313 EP - S320 SN - 0098-1354 DO - 10.1016/S0098-1354(09)80037-9 UR - https://m2.mtmt.hu/api/publication/1044848 ID - 1044848 N1 - Cited By :204 Export Date: 16 October 2023 Correspondence Address: Fan, L.T.; Laboratory for Artificial Intelligence in Process Engineering Department of Chemical Engineering, , Kansas, 66506, United States Funding details: U.S. Environmental Protection Agency, EPA Funding details: Kansas State University, KSU Funding text 1: Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement headquarters at Kansas State University, it has not been subjected to the and therefore may not necessarily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Graph-Theoretic Approach to Process Synthesis: Axioms and Theorems JF - CHEMICAL ENGINEERING SCIENCE J2 - CHEM ENG SCI VL - 47 PY - 1992 SP - 1973 EP - 1988 PG - 16 SN - 0009-2509 DO - 10.1016/0009-2509(92)80315-4 UR - https://m2.mtmt.hu/api/publication/1044849 ID - 1044849 N1 - Department of Systems Engineering Research Institute of Technical Chemistry, Hungarian Academy of Sciences, P.F. 125, Veszprém, 8201, Hungary Institute of Mathematics, University of Veszprém, Veszprém, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :357 Export Date: 16 October 2023 CODEN: CESCA Correspondence Address: Friedler, F.; Department of Systems Engineering Research Institute of Technical Chemistry, Hungarian Academy of Sciences, P.F. 125, Veszprém, 8201, Hungary Funding details: U.S. Environmental Protection Agency, EPA, R-815709 Funding details: Kansas State University, KSU Funding text 1: Acknowledgments-Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement R-815709 to the Haaar-dous Substance Research Center for U.S. EPA Regions 7 and 8 with headquarters at Kansas State University, it has not been subjected to the Agency’s peer and administrative review and therefore may not necessarily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER -