TY - JOUR AU - Yong, Jun Yow AU - Klemeš, Jiri Jaromir AU - Varbanov, Petar AU - Huisingh, Donald TI - Cleaner energy for cleaner production: modelling, simulation, optimisation and waste management JF - JOURNAL OF CLEANER PRODUCTION J2 - J CLEAN PROD VL - 111 PY - 2016 SP - 1 EP - 16 PG - 16 SN - 0959-6526 DO - 10.1016/j.jclepro.2015.10.062 UR - https://m2.mtmt.hu/api/publication/3025530 ID - 3025530 N1 - PN A Megjegyzés-25522222 PN A Megjegyzés-25522252 PN A Megjegyzés-25522259 PN A Megjegyzés-25522264 PN A Megjegyzés-25522323 PN A Megjegyzés-25570296 PN A AB - Energy supply and its efficient use in production are key to ensuring the healthy functioning of the world economies. Based on that, to ensure sustainability, the supply and use of energy have to apply the principle of minimising negative environmental impacts and even improving the environment through net-regenerative development. In this context, ensuring cleaner energy is the cornerstone for cleaner production, especially for reducing the emissions of greenhouse gases and other pollutants, which are directly related to the types and loads of the energy sources used. This introductory article presents a review of the main lessons recently learned in the area of more efficient energy use, cleaner fuels and biofuels, cleaner production, CO2 capture, optimisation and waste management. This article provides the readers with ideas and technologies that can be incorporated into real world solutions and can serve as the foundations for future research. With firm realisation of the importance of these issues, the 17th conference "Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction - PRES" was held in Prague, Czech Republic, to provide a platform for discussing ideas and devising solutions for cleaner energy supplies that are used more effectively and efficiently. This was followed by comprehensive research that resulted in several high quality scientific contributions published in the Journal of Cleaner Production. The wide topical coverage and the high quality provided excellent directions for future collaborative research of the PRES family - including process level emission minimisation, self-sufficient regions, and industrial symbiosis for optimizing usage of waste heat and waste material flows. (C) 2015 Elsevier Ltd. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Cabezas, Heriberto AU - Heckl, István AU - Bertók, Botond AU - Friedler, Ferenc TI - Use the P-graph framework to design supply chains for sustainability JF - CHEMICAL ENGINEERING PROGRESS J2 - CHEM ENG PROG VL - 111 PY - 2015 IS - 1 SP - 41 EP - 47 PG - 7 SN - 0360-7275 UR - https://m2.mtmt.hu/api/publication/2807547 ID - 2807547 N1 - U.S. Environmental Protection Agency, Univ. of Pannonia, Hungary Univ. of Pannonia, Hungary Cited By :21 Export Date: 16 October 2023 CODEN: CEPRA LA - English DB - MTMT ER - TY - JOUR AU - Garcia Ojeda, Juan Carlos AU - Bertók, Botond AU - Friedler, Ferenc AU - Argoti, A AU - Fan, LT TI - A preliminary study of the application of the P- graph methodology for organization-based multiagent system designs: Assessment JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 12 PY - 2015 IS - 2 SP - 103 EP - 122 PG - 20 SN - 1785-8860 DO - 10.12700/APH.12.2.2015.2.7 UR - https://m2.mtmt.hu/api/publication/2931538 ID - 2931538 N1 - Department of Systems Engineering, Autonomous University of Bucaramanga, Av. 42 No 48-11, El Jardín, Bucaramanga, Santander, 680003, Colombia Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary Department of Chemical Engineering, Kansas State University, 1005 Durland Hall, Manhattan, KS 66506, United States Cited By :9 Export Date: 16 October 2023 AB - At the outset, the design of an organization-based multiagent system is modeled according to the framework of Organization Model for Adaptive Complex Systems (OMACS). Subsequently, this design model is transformed into a process-network model. Eventually, the resultant process-network model in conjunction with the P-graph-based methodology give rise to: (i) the maximal structure of the process network, comprising all the feasible combinations of structures, i.e., OMACS-based design configurations, capable of yielding the specified products from the specified raw material; (ii) every feasible structure for the process of interest; and (iii) the optimal structure of the network, i.e., the optimal OMACS-based design configuration. Finally, in light of the tenet of a modeling- transformation-evaluation paradigm, an appraisal is made of the feasibility as well as the flexibility and cost of the optimal OMACS-based design configuration obtained. © 2015 Budapest Tech Polytechnical Institution. All rights reserved. LA - English DB - MTMT ER - TY - CHAP AU - Haleem, Azreennisa Abdul AU - Hashim, Hasmiera AU - Varbanov, Petar AU - Yong, Jun Yow AU - Klemeš, Jiri Jaromir AU - Yusup, Suzana ED - Varbanov, Petar ED - Klemeš, Jiri Jaromir ED - Alwi, SRW ED - Yong, JY ED - Liu, X TI - Case Study: Optimisation of Federal Land Development Authority Jengka Supply Chain Management Using P-Graph Approach T2 - PRES15: PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION PB - Associazione Italiana di Ingegneria Chimica CY - Milan SN - 9788895608365 T3 - Chemical Engineering Transactions ; 45. PY - 2015 SP - 1375 EP - 1380 PG - 6 DO - 10.3303/CET1545230 UR - https://m2.mtmt.hu/api/publication/3025551 ID - 3025551 N1 - AB - Establishment of biomass supply chain is preliminary stage for biomass energy production especially in proposing potential processing plant location. Most of the relevant biomass is produced in abundance in agriculture sector. In Malaysia, biomass supply is obtained mainly from oil palm plantation which governed under Federal Land Development Authority. Biomass supply chain deals with harvesting, storage, pretreatment and transportation. Low energy density of biomass combined with availability of biomass that is widely distributed contributes huge constraints to the problem. To address this issue, P-graph modelling is used as the methodology to solve combinatorial complexity of the biomass supply chain in Federal Land Development Authority Jengka. Few possible locations for building new biomass processing plant and storage hubs were introduced in the optimisation problem. Existing plant mills, hubs and possible plant locations were interconnected to create a network. Fuel consumption for transportation was calculated by taking into account the road profiles of the routes in Jengka. The resulting solution from Accelerated Branch and Bound algorithm in P-graph shows that the optimal solution is through building new plant in location 1, 2 and 4 for a profit of 77.35 M MYR/y (18.3 M (sic)/y). LA - English DB - MTMT ER - TY - JOUR AU - Heckl, István AU - Cabezas, Heriberto AU - Friedler, Ferenc TI - Designing Sustainable Supply Chains in the Energy-Water-Food Nexus by the P-garph Methodology JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 45 PY - 2015 SP - 1351 EP - 1356 PG - 6 SN - 9788895608365 SN - 1974-9791 DO - 10.3303/CET1545226 UR - https://m2.mtmt.hu/api/publication/2941190 ID - 2941190 N1 - WoS:hiba:000366034200226 2019-03-11 01:38 típus nem egyezik LA - English DB - MTMT ER - TY - JOUR AU - Heckl, István AU - Halász, László AU - Szlama, Adrián György AU - Cabezas, Heriberto AU - Friedler, Ferenc TI - Process Synthesis involving multi-period operations by the p-graph framework JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 83 PY - 2015 SP - 157 EP - 164 PG - 8 SN - 0098-1354 DO - 10.1016/j.compchemeng.2015.04.037 UR - https://m2.mtmt.hu/api/publication/2941212 ID - 2941212 LA - English DB - MTMT ER - TY - JOUR AU - How, B S AU - Hong, B H AU - Lam, H L AU - Friedler, Ferenc TI - Synthesis of Multiple Biomass Corridor via Decomposition Approach? A P-graph Application JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 45 PY - 2015 SP - 1363 EP - 1368 PG - 6 SN - 9788895608365 SN - 1974-9791 DO - 10.3303/CET1545228 UR - https://m2.mtmt.hu/api/publication/2941192 ID - 2941192 N1 - ISSN: 2283-9216 WoS:hiba:000366034200228 2019-03-11 01:38 típus nem egyezik LA - English DB - MTMT ER - TY - CHAP AU - Klemeš, Jiri Jaromir AU - Varbanov, Petar ED - Varbanov, Petar ED - Klemeš, Jiri Jaromir ED - Alwi, SRW ED - Yong, JY ED - Liu, X TI - Spreading the Message: P-Graph Enhancements: Implementations and Applications T2 - PRES15: PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION PB - Associazione Italiana di Ingegneria Chimica CY - Milan SN - 9788895608365 T3 - Chemical Engineering Transactions ; 45. PY - 2015 SP - 1333 EP - 1338 PG - 6 DO - 10.3303/CET1545223 UR - https://m2.mtmt.hu/api/publication/3025550 ID - 3025550 N1 - AB - P-graph is a combinatorial optimisation framework aimed at optimising process networks. It is particularly efficient in handling problems with high combinatorial complexity and it has shown great reduction in the computational burden related to that. The current contribution provides a critical review of the P-graph framework, its fundamentals, main application areas and influence on the scientific and engineering thoughts for solving complicated real-life problems. This is followed by an analysis of the achieved impact, results and limitations. Potential opportunities for future research, development and innovation, opened by the identified limitations, are then suggested and discussed. LA - English DB - MTMT ER - TY - JOUR AU - Pimentel, Jean AU - Heckl, István AU - Bertók, Botond AU - Friedler, Ferenc AU - Garcia Ojeda, Juan Carlos AU - Argoti, A TI - Process Network Synthesis for Benzaldehyde Production: P-graph Approach JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 45 PY - 2015 SP - 1369 EP - 1374 PG - 6 SN - 9788895608365 SN - 1974-9791 DO - 10.3303/CET1545229 UR - https://m2.mtmt.hu/api/publication/2941194 ID - 2941194 N1 - ISSN 2283-9216 WoS:hiba:000366034200229 2019-03-11 01:38 típus nem egyezik, első szerző nem egyezik LA - English DB - MTMT ER - TY - JOUR AU - Vance, L AU - Heckl, István AU - Bertók, Botond AU - Cabezas, Heriberto AU - Friedler, Ferenc TI - Designing sustainable energy supply chains by the P-graph method for minimal cost, environmental burden, energy resources input JF - JOURNAL OF CLEANER PRODUCTION J2 - J CLEAN PROD VL - 94 PY - 2015 IS - 0 SP - 144 EP - 154 PG - 11 SN - 0959-6526 DO - 10.1016/j.jclepro.2015.02.011 UR - https://m2.mtmt.hu/api/publication/2880302 ID - 2880302 N1 - Office of Research and Development, U.S. Environmental Protection Agency, United States Department Computer Science and Systems Technology, University of Pannonia, Hungary Cited By :24 Export Date: 23 February 2020 CODEN: JCROE Correspondence Address: Cabezas, H.; Office of Research and Development, U.S. Environmental Protection AgencyUnited States AB - Abstract We present a computer-aided methodology for designing sustainable supply chains using the P-graph framework to develop supply chain structures which are then analyzed using cost, the cost of producing electricity, and two sustainability metrics: the ecological footprint and the emergy input. These metrics respectively represent environmental burden in terms of land use and energy resources. The results are the continuation of a research effort between members of the Office of Research and Development (ORD) of the U.S. EPA and the University of Pannonia. In earlier work, the basis of the research, the integration of supply chain design and sustainability were presented. There, the P-graph framework provided a mathematically rigorous procedure for synthesizing optimal and alternative suboptimal networks subject to profitability and ecological footprint criteria. In this work the effort is extended with another sustainability metric, emergy. Emergy, a measure of the energy used up in transformations directly and indirectly to make a product or maintain a service, was assessed for each energy production supply chain. The proposed methodology demonstrates the optimal design of a supply chain which provides electric power and heat to an agricultural region with agricultural wastes that can potentially be recovered as renewable resources. The results of the study indicate that, compared to using electricity from the grid and/or natural gas, renewable energy resources can yield substantial cost reductions of up to 17%, as well as significant ecological footprint and emergy reductions. These results indicate that it is possible to design more sustainable supply chains that are also cost-effective. LA - English DB - MTMT ER - TY - JOUR AU - Adonyi, R. AU - Heckl, István AU - Olti, F. TI - Scheduling of Bus Maintenance by the P-graph Methodology JF - OPTIMIZATION AND ENGINEERING J2 - OPTIM ENG VL - 14 PY - 2013 SP - 565 EP - 574 PG - 10 SN - 1389-4420 DO - 10.1007/s11081-013-9240-8 UR - https://m2.mtmt.hu/api/publication/2473541 ID - 2473541 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 - Bertók, Botond AU - Bárány, Máté József AU - Friedler, Ferenc TI - Generating and analyzing mathematical programming models of conceptual process design by p-graph software JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 166 EP - 171 PG - 6 SN - 0888-5885 DO - 10.1021/ie301155n UR - https://m2.mtmt.hu/api/publication/2355436 ID - 2355436 N1 - Cited By :32 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Bertok, B.; Department of Computer Science and Systems Technology, , Veszprém, Hungary; email: bertok@dcs.uni-pannon.hu AB - The primary aim of process-network synthesis, or PNS in short, is to determine the best process network achieving a desired goal, e.g., producing a set of desired products or satisfy demands. PNS has a long history, and numerous methods for executing it are available. Its acceleratedly increasing importance can be attributed to the need to respond to the rapid emergence of new technologies and fast changes in the economic environment. It is highly desirable that any corporation be able to ascertain if a new technology is viable for its business as well as to assess if its current technology remains sustainable in the changing environment. Herein, a novel method and software for PNS are proposed for generating, optimizing, and analyzing alternative process designs at the conceptual level. The method is illustrated by synthesizing alternative process designs with different network structures for the production of butanol, ethanol, and acetone from grains. Furthermore, the sustainability of the resultant process designs is analyzed. This is executed by varying the payout period and the production rate, i.e., load. © 2012 American Chemical Society. LA - English DB - MTMT ER - TY - JOUR AU - Klemeš, Jiri Jaromir AU - Kravanja, Z AU - Varbanov, Petar AU - Lam, HL TI - Advanced multimedia engineering education in energy, process integration and optimisation JF - APPLIED ENERGY J2 - APPL ENERG VL - 101 PY - 2013 SP - 33 EP - 40 PG - 8 SN - 0306-2619 DO - 10.1016/j.apenergy.2012.01.039 UR - https://m2.mtmt.hu/api/publication/2370318 ID - 2370318 N1 - Centre for Process Integration and Intensification - CPI, Research Institute of Chemical and Process Engineering, Faculty of Information Technology, University of Pannonia, 8200 Veszprém, Hungary Laboratory for Process Systems Engineering and Sustainable Development, Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyth, Selangor, Malaysia Cited By :39 Export Date: 16 October 2023 CODEN: APEND Correspondence Address: Kravanja, Z.; Laboratory for Process Systems Engineering and Sustainable Development, Smetanova ulica 17, 2000 Maribor, Slovenia; email: zdravko.kravanja@uni-mb.si AB - In the new education and technology era, there are many challenges for Engineering education in the field of energy especially to enhance the effectiveness of teaching and learning process via structured multimedia. The universities across Europe are currently adopting the new Bologna three-cycle study system and most of engineering related departments have already developed new study programs accordingly. Several issues have to be addressed in order to provide high-quality education with improved efficiency and minimal cost. These are related to the foundation skills and knowledge for engineers. They should be supplemented by new engineer curricula empowering energy engineers to manage solving their problems in a sustainable way. The current contribution is based on years of practical teaching and involvement in the formation of the policy for engineering education in Europe. It discusses how the application of the Bologna system, appropriate and wise use of multimedia, and innovative introduction of novel communication means into the education can help in achieving the above goals. The discussion includes the development of methods and tools, multimedia internet-based teaching and learning programs, and cyberinfrastrucure-based virtual libraries. © 2012 Elsevier Ltd. LA - English DB - MTMT ER - TY - JOUR AU - Lam, HL AU - Klemeš, Jiri Jaromir AU - Varbanov, Petar AU - Kravanja, Z TI - P-graph synthesis of open-structure biomass networks JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 172 EP - 180 PG - 9 SN - 0888-5885 DO - 10.1021/ie301184e UR - https://m2.mtmt.hu/api/publication/2370308 ID - 2370308 N1 - Department of Chemical and Environmental Engineering, University of Nottingham, Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia Faculty of Information Technology, Research Institute of Chemical and Process Engineering - MUKKI, University of Pannonia, Egyetem u. 10, H-8200, Veszprém, Hungary Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ul. 17, SI-2000, Maribor, Slovenia Cited By :37 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Klemeš, J.J.; Faculty of Information Technology, Egyetem u. 10, H-8200, Veszprém, Hungary; email: klemes@cpi.uni-pannon.hu AB - This paper presents an extended implementation of a P-graph for an open-structure biomass network synthesis. Biomass and biofuel production networks syntheses are generally complex tasks of a considerable scale and comprehensive interactions. The applications of information technology and computer software tools, in this case P-graph, are essential for providing fast and as accurate as possible solutions with a user-friendly interface. This work demonstrates the relationships of mathematical models with P-graph representations. A case study is included that demonstrates the implementation of a framework regarding a P-graph for an extension to biomass network synthesis. An assessment and evaluation of P-graph and Mathematical Programming as a method for biomass supply chain synthesis concludes this paper. © 2012 American Chemical Society. LA - English DB - MTMT ER - TY - JOUR AU - Tick, J AU - Imreh, C AU - Kovács, Zoltán TI - Business Process Modeling and the Robust PNS Problem JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 10 PY - 2013 IS - 6 SP - 193 EP - 204 PG - 12 SN - 1785-8860 DO - 10.12700/APH.10.06.2013.6.11 UR - https://m2.mtmt.hu/api/publication/2442639 ID - 2442639 LA - English DB - MTMT ER - TY - JOUR AU - Vance, L AU - Cabezas, Heriberto AU - Heckl, István AU - Bertók, Botond AU - Friedler, Ferenc TI - Synthesis of sustainable energy supply chain by the P-graph framework JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 266 EP - 274 PG - 9 SN - 0888-5885 DO - 10.1021/ie3013264 UR - https://m2.mtmt.hu/api/publication/2194049 ID - 2194049 N1 - Office of Research and Development, Environmental Protection Agency, U.S. EPA, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States Department of Computer Science and Systems Technology, University of Pannonia, Hungary Cited By :42 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Cabezas, H.; Office of Research and Development, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States; email: Cabezas.Heriberto@epa.gov AB - The present work proposes a computer-aided methodology for designing sustainable supply chains in terms of sustainability metrics by utilizing the P-graph framework. The methodology is an outcome of the collaboration between the Office of Research and Development (ORD) of the U.S. EPA and the research group led by the creators of the P-graph framework at the University of Pannonia. The integration of supply chain design and sustainability is the main focus of this collaboration. The P- graph framework provides a mathematically rigorous procedure for synthesizing optimal and alternative suboptimal networks subject to multiple objectives and constraints, which include profitability and sustainability in the proposed methodology. Specifically, to evaluate the sustainability of a given process under construction including its supply chain, sustainability metrics are incorporated into the design procedure. The proposed methodology is demonstrated with the optimal design of a supply chain for providing heat and electric power to an agricultural region with relatively limited land area where agricultural wastes can potentially be recovered as renewable resources. The objective functions for optimization comprise the profit and the ecological footprint. The results of the study indicate that, compared to using electricity from the grid and/or natural gas, using renewable energy resources can yield substantial cost reductions of up to 5%, as well as significant ecological footprint reductions of up to 77%. It may, therefore, be possible to design more sustainable supply chains that are both cost-effective and less environmentally damaging. © 2012 American Chemical Society. LA - English DB - MTMT ER - TY - JOUR AU - Yun, C AU - Kim, TY AU - Zhang, T AU - Kim, Y AU - Lee, SY AU - Park, S AU - Friedler, Ferenc AU - Bertók, Botond TI - Determination of the thermodynamically dominant metabolic pathways JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 222 EP - 229 PG - 8 SN - 0888-5885 DO - 10.1021/ie300652h UR - https://m2.mtmt.hu/api/publication/2418290 ID - 2418290 N1 - Department of Chemical and Biomolecular Engineering, KAIST, Daejeon 305-701, South Korea Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Department of Computer Science, University of Pannonia, Egyetem u. 10, H-8200 Veszprem, Hungary Department of Thermal Systems, Korea Institute of Machinery and Materials, Daejeon 305-343, South Korea Doosan Heavy Industries and Construction, Daejeon 305-348, South Korea Western Research Institute, Laramie, WY 82072, United States Cited By :6 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Park, S.; Department of Chemical and Biomolecular Engineering, , Daejeon 305-701, South Korea; email: sunwon@kaist.ac.kr AB - An effective strategy comprising two phases is proposed to determine the thermodynamically dominant pathways in a metabolic network of a given phenotype, involving several metabolic reactions. In the first phase, stoichiometrically feasible metabolic pathways are exhaustively identified through the flux balance analysis and the graph-theoretic method based on P-graphs. In the second phase, thermodynamically dominant pathways are selected from these stoichiometrically feasible metabolic pathways on the basis of the Gibbs free energy change of reaction. The proposed strategy's efficacy is demonstrated by applying it to two E. coli models: one is for maximal acetate and ethanol production, and the other is for maximalpoly(3-hydroxybutyrate) production. © 2012 American Chemical Society. LA - English DB - MTMT ER - TY - JOUR AU - Garcia Ojeda, Juan Carlos AU - Bertók, Botond AU - Friedler, Ferenc TI - Planning Evacuation Routes with the P-graph Framework JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 29 PY - 2012 IS - 2 SP - 1531 EP - 1536 PG - 6 SN - 1974-9791 DO - 10.3303/CET1229256 UR - https://m2.mtmt.hu/api/publication/2060145 ID - 2060145 N1 - Department of Systems Engineering, Autonomous University of Bucaramanga, Av. 42 No 48-11, Bucaramanga, Colombia Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary Cited By :28 Export Date: 16 October 2023 Correspondence Address: Garcia-Ojeda, J.C.; Department of Systems Engineering, Av. 42 No 48-11, Bucaramanga, Colombia; email: jgarciao@unab.edu.co LA - English DB - MTMT ER - TY - JOUR AU - Varbanov, Petar AU - Friedler, Ferenc TI - P-graph methodology for cost-effective reduction of carbon emissions involving fuel cell combined cycles JF - APPLIED THERMAL ENGINEERING J2 - APPL THERM ENG VL - 28 PY - 2008 IS - 16 SP - 2020 EP - 2029 PG - 10 SN - 1359-4311 DO - 10.1016/j.applthermaleng.2008.02.007 UR - https://m2.mtmt.hu/api/publication/1268041 ID - 1268041 N1 - 10th Conference Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, JUN 24-27, 2007., Naples, ITALY AB - Fuel cells are under extensive investigation for building combined energy cycles due to the higher efficiency potential they offer. Two kinds of high-temperature fuel cells (HTFC) have been identified as best candidates for fuel cell combined cycles (FCCC) - molten carbonate fuel cells (MCFC) and solid oxide fuel cells (SOFC). The paper presents a procedure for the evaluation of energy conversion systems involving FCCC subsystems, utilising biomass and/or fossil fuels, providing a tool for evaluation of the trends in CO, emission levels and economics of such systems. This involves significant combinatorial complexity, efficiently handled by the P-graph algorithms. Promising system components are evaluated using the P-graph framework and a methodology for the synthesis of cost-optimal FCCC configurations is developed, accounting for the carbon footprint of the various technology and fuel options. The results show that such systems employing renewable fuels can be economically viable for a wide range of economic conditions, mainly due to the high energy efficiency of the FC-based systems. 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 -