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 - Cabezas, Heriberto TI - Editorial overview: Energy, environment & sustainability sustainability modeling JF - CURRENT OPINION IN CHEMICAL ENGINEERING J2 - CURR OPIN CHEM ENG VL - 26 PY - 2019 IS - Energy, Environment & Sustainability: Sustainability Modeling SP - A1 EP - A2 PG - 1 SN - 2211-3398 DO - 10.1016/j.coche.2019.12.001 UR - https://m2.mtmt.hu/api/publication/31306879 ID - 31306879 LA - English DB - MTMT ER - TY - GEN ED - Cabezas, Heriberto ED - Lapkin, Alexei TI - Current Opinion in Chemical Engineering. Volume 26, Energy, Environment & Sustainability: Sustainability Modeling. Reaction engineering and catalysis: Green Reaction Engineering TS - Reaction engineering and catalysis: Green Reaction Engineering PY - 2019 SP - A1-A4, EP - 1-180 UR - https://m2.mtmt.hu/api/publication/31130261 ID - 31130261 LA - English DB - MTMT ER - TY - JOUR AU - Onishi, Viviani C. AU - Antunes, Carlos H. AU - Fraga, Eric S. AU - Cabezas, Heriberto TI - Stochastic optimization of trigeneration systems for decision-making under long-term uncertainty in energy demands and prices JF - ENERGY J2 - ENERGY VL - 175 PY - 2019 SP - 781 EP - 797 PG - 17 SN - 0360-5442 DO - 10.1016/j.energy.2019.03.095 UR - https://m2.mtmt.hu/api/publication/31129956 ID - 31129956 AB - Combined heating, cooling and power (CHCP) systems, so-called trigeneration, are widely accepted as more energy-efficient and environment-friendly alternatives to traditional separate energy generation. Nevertheless, the tasks of synthesis and optimization of trigeneration systems are strongly hampered by the long-term uncertainties in energy demands and prices. In this work, we introduce a new scenario-based model for the stochastic optimization of CHCP systems under uncertainty in several process design parameters. Energy generation operators are proposed to ensure the optimal sizing and operation of each equipment in each optimization scenario. Our main objective is to enhance energy efficiency by synthesizing the most cost-effective CHCP system able to operate in wide-ranging scenarios of energy demands and prices. For this purpose, uncertain design parameters are modelled as a set of loading and pricing scenarios with given probability of occurrence. The set of scenarios contains correlated energy prices described through a multivariate Normal distribution, which are generated via a Monte Carlo sampling technique with symmetric correlation matrix. The resulting stochastic multiscenario MINLP model is solved to global optimality by minimizing the expected total annualized cost. A thorough economic risk analysis underlines the effectiveness of the proposed methodology. This systematic approach represents a useful tool to support the decision-making process regarding system efficiency and robustness. LA - English DB - MTMT ER - TY - JOUR AU - König, Éva AU - Cabezas, Heriberto AU - Mayer, Audrey L. TI - Detecting dynamic system regime boundaries with Fisher information: the case of ecosystems JF - CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY J2 - CLEAN TECHNOL ENVIRON POLICY VL - 21 PY - 2019 IS - 7 SP - 1471 EP - 1483 PG - 13 SN - 1618-954X DO - 10.1007/s10098-019-01718-9 UR - https://m2.mtmt.hu/api/publication/31118723 ID - 31118723 N1 - Export Date: 23 February 2020 Correspondence Address: Mayer, A.L.; School of Forest Resources and Environmental Science, Michigan Technological UniversityUnited States; email: almayer@mtu.edu LA - English DB - MTMT ER - TY - JOUR AU - Eason, Tarsha AU - Chuang, Wen-Ching AU - Sundstrom, Shana AU - Cabezas, Heriberto TI - An Information Theory-Based Approach to Assessing Spatial Patterns in Complex Systems JF - ENTROPY J2 - ENTROPY-SWITZ VL - 21 PY - 2019 IS - 2 PG - 19 SN - 1099-4300 DO - 10.3390/e21020182 UR - https://m2.mtmt.hu/api/publication/31047885 ID - 31047885 AB - Given the intensity and frequency of environmental change, the linked and cross-scale nature of social-ecological systems, and the proliferation of big data, methods that can help synthesize complex system behavior over a geographical area are of great value. Fisher information evaluates order in data and has been established as a robust and effective tool for capturing changes in system dynamics, including the detection of regimes and regime shifts. The methods developed to compute Fisher information can accommodate multivariate data of various types and requires no a priori decisions about system drivers, making it a unique and powerful tool. However, the approach has primarily been used to evaluate temporal patterns. In its sole application to spatial data, Fisher information successfully detected regimes in terrestrial and aquatic systems over transects. Although the selection of adjacently positioned sampling stations provided a natural means of ordering the data, such an approach limits the types of questions that can be answered in a spatial context. Here, we expand the approach to develop a method for more fully capturing spatial dynamics. The results reflect changes in the index that correspond with geographical patterns and demonstrate the utility of the method in uncovering hidden spatial trends in complex systems. LA - English DB - MTMT ER - TY - JOUR AU - Piglerné, Lakner Rozália AU - PS, Varbanov AU - Friedler, Ferenc TI - Systems Analysis of Electricity Transmission Networks for Improved Sustainability JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 76 PY - 2019 SP - 619 EP - 624 PG - 6 SN - 1974-9791 DO - 10.3303/CET1976104 UR - https://m2.mtmt.hu/api/publication/31046272 ID - 31046272 N1 - Cited By :1 Export Date: 16 October 2023 Correspondence Address: Lakner, R.; Pázmány Péter Catholic University, Szentkirályi u. 28, Hungary; email: lakner.rozalia@ppke.hu Funding text 1: This study was supported by the KAP Program of Pázmány Péter Catholic University. LA - English DB - MTMT ER - TY - CHAP AU - Yenkie, Kirti M. AU - Burnham, Scan AU - Dailey, James AU - Cabezas, Heriberto AU - Friedler, Ferenc ED - Kiss, AA ED - Ozkan, L ED - Lakerveld, R ED - Zondervan, E TI - Generating Efficient Wastewater Treatment Networks: an integrated approach comprising of contaminant properties, technology suitability, plant design, and process optimization T2 - 29th European Symposium on Computer Aided Process Engineering PB - Elsevier Science CY - Amsterdam SN - 9780128186343 T3 - Computer-Aided Chemical Engineering, ISSN 1570-7946 ; 46. PY - 2019 SP - 1603 EP - 1608 PG - 6 DO - 10.1016/B978-0-12-818634-3.50268-X UR - https://m2.mtmt.hu/api/publication/31044790 ID - 31044790 N1 - Department of Chemical Engineering, Henry M. Rowan College of Engineering, Rowan University, Glassboro, NJ 08028, United States Pazmany Peter Catholic University, Institute for Process Systems Engineering and Sustainability, Budapest, Hungary Cited By :10 Export Date: 16 October 2023 AB - The rise in world population and industrialization in developing nations has tremendously increased the demand for water and has resulted in wastewater contaminated with several pollutants. Thus, wastewater treatment (WWT), reuse, and safe disposal have become crucial for sustainable existence. We believe that generation of a maximal structure (superstructure) comprising of all possible treatment methods and flow patterns using a systems approach, followed by optimization to decide the best treatment pathway, will enable efficient designing of WWT networks. In this work, the technologies/methods involved in WWT such as sedimentation, filtration, membranes, adsorption, activated sludge, etc. are modelled using material and energy balances, equipment design, costing and environmental impact. Utilizing systematic methods (e.g. mixed-integer non-linear programming, MINLP), we frame the WWT network selection as an optimization problem for cost and energy minimization along with sustainable goals. In our analysis, we demonstrate a case study of Municipal WWT and determine the best strategy in compliance with the 1972 US EPA's Clean Water Act to reuse the treated water for cropland irrigation. In the next step, we use the P-graph approach for solving the same problem and this tool provides a ranked list of candidate solutions. LA - English DB - MTMT ER - TY - JOUR AU - Orosz, Ákos AU - Kovács, Zoltán AU - Friedler, Ferenc TI - Synthesis of heat integrated processing systems taking into account reliability JF - ENERGY J2 - ENERGY VL - 181 PY - 2019 SP - 214 EP - 225 PG - 12 SN - 0360-5442 DO - 10.1016/j.energy.2019.05.173 UR - https://m2.mtmt.hu/api/publication/30918059 ID - 30918059 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, Szentkirályi u. 28, Budapest, H-1088, Hungary Cited By :5 Export Date: 18 November 2022 CODEN: ENEYD Correspondence Address: Friedler, F.; Institute for Process Systems Engineering and Sustainability, Szentkirályi u. 28, Hungary; email: friedler.ferenc@ppke.hu LA - English DB - MTMT ER - TY - JOUR AU - Éles, András AU - Halász, László AU - Heckl, István AU - Cabezas, Heriberto TI - Evaluation of the Energy Supply Options of a Manufacturing Plant by the Application of the P-Graph Framework JF - ENERGIES J2 - ENERGIES VL - 12 PY - 2019 IS - 8 SP - 1484 SN - 1996-1073 DO - 10.3390/en12081484 UR - https://m2.mtmt.hu/api/publication/30642863 ID - 30642863 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Egyetem utca 10., Veszprém, 8200, Hungary Institute for Process Systems Engineering and Sustainability, Pázmány Péter Catholic University, Szentkirályi utca 28., Budapest, 1088, Hungary Cited By :6 Export Date: 11 October 2022 Correspondence Address: Éles, A.; Department of Computer Science and Systems Technology, Egyetem utca 10., Hungary; email: eles@dcs.uni-pannon.hu LA - English DB - MTMT ER -