TY - JOUR AU - How, Bing Shen AU - Hong, Boon Hooi AU - Lam, Hon Loong AU - Friedler, Ferenc TI - Synthesis of multiple biomass corridor via decomposition approach: a P-graph application JF - JOURNAL OF CLEANER PRODUCTION J2 - J CLEAN PROD VL - 130 PY - 2016 SP - 45 EP - 57 PG - 13 SN - 0959-6526 DO - 10.1016/j.jclepro.2015.12.021 UR - https://m2.mtmt.hu/api/publication/26231792 ID - 26231792 N1 - Department of Chemical and Environmental Engineering, University of Nottingham, Malaysia Department of Computer Science and System Technology, University of Pannonia, Hungary Cited By :44 Export Date: 16 October 2023 CODEN: JCROE Correspondence Address: How, B.S.; Department of Chemical and Environmental Engineering, Malaysia; email: kebx4hbh@nottingham.edu.my LA - English DB - MTMT ER - TY - JOUR AU - Bertók, Botond AU - Kalauz, Károly AU - Süle, Zoltán AU - Friedler, Ferenc TI - Combinatorial Algorithm for Synthesizing Redundant Structures to Increase Reliability of Supply Chains: Application to Bio-diesel Supply JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 181 EP - 186 PG - 6 SN - 0888-5885 DO - 10.1021/ie301393d UR - https://m2.mtmt.hu/api/publication/2093964 ID - 2093964 N1 - Cited By :23 Export Date: 13 October 2023 CODEN: IECRE Correspondence Address: Bertok, B.; Department of Computer Science and Systems Technology, Egyetem u. 10, Veszprem, H-8200, Hungary; email: bertok@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Čuček, L AU - Varbanov, Petar AU - Klemeš, Jiri Jaromir AU - Kravanja, Z TI - Total footprints-based multi-criteria optimisation of regional biomass energy supply chains JF - ENERGY J2 - ENERGY VL - 44 PY - 2012 IS - 1 SP - 135 EP - 145 PG - 11 SN - 0360-5442 DO - 10.1016/j.energy.2012.01.040 UR - https://m2.mtmt.hu/api/publication/2199079 ID - 2199079 AB - This paper presents a MCO (multi-criteria optimisation) of regional biomass supply chains for the conversion of biomass to energy through the simultaneous maximisation of economic performance and minimisation of the environmental and social FPs (footprints). The energy supply-chain model contains agricultural, pre-processing, processing, and distribution layers. An integrated model, previously developed by the authors, for regional biomass energy network optimisation is used as a basis, and now extended for simultaneous assessment of the supply-chain performance based on LCA (Life cycle assessment). Several total FPs are introduced for " cradle" to " grave" evaluation, which, besides direct, comprises also indirect effects caused by products' substitutions. In the MCO approach, the annual profit is maximised against each FP generating different sets of Pareto optimal solutions, one for each FP. With this approach the aggregation of different environmental and/or social pressures is thus avoided. The results indicate that total FPs enable the obtaining of more realistic solutions, than in those cases when only direct FPs are considered. More profitable and less environmentally harmful solutions can be gained with significant reduction in total carbon and total energy FPs. © 2012 Elsevier Ltd. LA - English DB - MTMT ER - TY - JOUR AU - Čuček, L AU - Lam, H L AU - Klemeš, Jiri Jaromir AU - Varbanov, Petar AU - Kravanja, Z TI - Synthesis of regional networks for the supply of energy and bioproducts JF - CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY J2 - CLEAN TECHNOL ENVIRON POLICY VL - 12 PY - 2010 IS - 6 SP - 635 EP - 645 PG - 11 SN - 1618-954X DO - 10.1007/s10098-010-0312-6 UR - https://m2.mtmt.hu/api/publication/1674660 ID - 1674660 N1 - Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ul. 17, 2000 Maribor, Slovenia Faculty of Information Technology, Research Institute of Chemical and Process Engineering, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary Cited By :147 Export Date: 16 October 2023 Correspondence Address: Čuček, L.; Faculty of Chemistry and Chemical Engineering, Smetanova ul. 17, 2000 Maribor, Slovenia; email: lidija.cucek@uni-mb.si Funding details: TET SI-11/2008 Funding details: European Commission, EC, MEXC-CT-2003-042618 Funding details: Javna Agencija za Raziskovalno Dejavnost RS, ARRS, 1000-08-310074, L2-0358, P2-0032 Funding text 1: Acknowledgement This work has been carried out as part of a Collaborative PhD study at the University of Maribor and the University of Pannonia, supported by the Bilateral SI-HU Project TET SI-11/2008 ‘Process systems engineering and sustainable development’. Also the financial supports from the EC project Marie Curie Chair (EXC) MEXC-CT-2003-042618 ‘Integrated Waste to Energy Management to Prevent Global Warming—INEMAGLOW’ and from the Slovenian Research Agency (Program No. P2-0032, Project No. L2-0358 and PhD research fellowship contract No. 1000-08-310074) are gratefully acknowledged. AB - This article presents a method for the synthesis of regional renewable energy supply chains, based on Mixed-Integer Linear Programming (MILP). This method addresses the challenges presented by biomass resources. The main challenges are the distributive and varied availabilities regarding both location and time. This work also aims to maximise the economically viable utilisation of resources, accounting for the competition between energy and food production. A four-layer supply chain superstructure has been developed, which includes the harvesting, preparation, core processing and distribution of products. This considered system's boundaries involve a region, which is then divided into zones for optimising conversion operations and transportation flows. An MILP model has been formulated with profit maximisation as the optimisation criterion. The environmental impact is evaluated by the carbon footprint. The sensitivity of the optimal solutions is analysed for different regions' sizes, transportation costs, pre-processing alternatives and the co-production of food and energy. © Springer-Verlag 2010. Biomass supply chains,. LA - English DB - MTMT ER - TY - JOUR AU - Cabezas, Heriberto AU - Bare, JC AU - Mallick, SK TI - Pollution prevention with chemical process simulators: The generalized waste reduction (WAR) algorithm - Full version JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 23 PY - 1999 IS - 4-5 SP - 623 EP - 634 PG - 12 SN - 0098-1354 DO - 10.1016/S0098-1354(98)00298-1 UR - https://m2.mtmt.hu/api/publication/2836173 ID - 2836173 N1 - Cited By :186 Export Date: 23 February 2020 CODEN: CCEND Correspondence Address: Cabezas, H.; U.S. Environmental Protection Agency, Natl. Risk Mgmt. Research Laboratory, Sustainable Technology Division, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States; email: cabezas.herberto@epamail.epa.gov AB - A general theory for the flow and the generation of potential environmental impact through a chemical process has been developed. The theory defines six potential environmental impact indexes that characterize the generation of potential impact within a process, and the output of potential impact from a process. The indexes are used to quantify pollution reduction and to develop pollution reducing changes to process flow sheets using process simulators. The potential environmental impacts are calculated from stream mass flow rates, stream composition, and a relative potential environmental impact score for each chemical present. The chemical impact scores include a comprehensive set of nine effects ranging from ozone depletion potential to human toxicity and ecotoxicity. The resulting waste reduction methodology or WAR algorithm is illustrated with two case studies using the chemical process simulator Chemcad III (Use does not imply USEPA endorsement or approval of Chemcad III). A general theory for the flow and the generation of potential environmental impact through a chemical process has been developed. The theory defines six potential environmental impact indexes that characterize the generation of potential impact within a process, and the output of potential impact from a process. The indexes are used to quantify pollution reduction and to develop pollution reducing changes to process flow sheets using process simulators. The potential environmental impacts are calculated from stream mass flow rates, stream composition, and a relative potential environmental impact score for each chemical present. The chemical impact scores include a comprehensive set of nine effects ranging from ozone depletion potential to human toxicity and ecotoxicity. The resulting waste reduction methodology or WAR algorithm is illustrated with two case studies using the chemical process simulator Chemcad III (Use does not imply USEPA endorsement or approval of Chemcad III). LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Varga, József AU - Fan, L T TI - Decision-Mapping: A Tool for Consistent and Complete Decisions in Process Synthesis JF - CHEMICAL ENGINEERING SCIENCE J2 - CHEM ENG SCI VL - 50 PY - 1995 IS - 11 SP - 1755 EP - 1768 PG - 14 SN - 0009-2509 DO - 10.1016/0009-2509(95)00034-3 UR - https://m2.mtmt.hu/api/publication/1044845 ID - 1044845 N1 - Department of Systems Engineering, Research Institute of Chemical Engineering, Hungarian Academy of Sciences, Veszprém, Pf. 125, H-8201, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :159 Export Date: 16 October 2023 CODEN: CESCA Correspondence Address: Friedler, F. Funding details: U.S. Environmental Protection Agency, EPA, R-819653 Funding details: Kansas State University, KSU Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: Acknowledgements--The authors thank Professor B. Imreh of Department of Computer Science, University of Szeged, Hungary, for critically reviewing our manuscript. This research was partially supported by the Hungarian Academy of Sciences. Although the research described in this article has been funded in part by the United States Environmental Protection Agency under assistance agreement R-819653 to Funding text 2: the Great Plains-Rocky Mountain Hazardous 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. No official endorsement should be inferred. This research was partially supported by the 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: 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 -