@article{MTMT:31339073,
	title = {Modeling technique in the P-Graph framework for operating units with flexible input ratios},
	url = {https://m2.mtmt.hu/api/publication/31339073},
	author = {Éles, András and Heckl, István and Cabezas, Heriberto},
	doi = {10.1007/s10100-020-00683-9},
	journal-iso = {CEJOR},
	journal = {CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH},
	volume = {29},
	unique-id = {31339073},
	issn = {1435-246X},
	year = {2021},
	eissn = {1613-9178},
	pages = {463-489}
}

@article{MTMT:31306879,
	title = {Editorial overview: Energy, environment & sustainability sustainability modeling},
	url = {https://m2.mtmt.hu/api/publication/31306879},
	author = {Cabezas, Heriberto},
	doi = {10.1016/j.coche.2019.12.001},
	journal-iso = {CURR OPIN CHEM ENG},
	journal = {CURRENT OPINION IN CHEMICAL ENGINEERING},
	volume = {26},
	unique-id = {31306879},
	issn = {2211-3398},
	year = {2019},
	eissn = {2211-3398},
	pages = {A1-A2}
}

@misc{MTMT:31130261,
	title = {Current Opinion in Chemical Engineering. Volume 26, Energy, Environment & Sustainability: Sustainability Modeling. Reaction engineering and catalysis: Green Reaction Engineering},
	url = {https://m2.mtmt.hu/api/publication/31130261},
	editor = {Cabezas, Heriberto and Lapkin, Alexei},
	unique-id = {31130261},
	year = {2019},
	pages = {A1-A4,-1-180}
}

@article{MTMT:31129956,
	title = {Stochastic optimization of trigeneration systems for decision-making under long-term uncertainty in energy demands and prices},
	url = {https://m2.mtmt.hu/api/publication/31129956},
	author = {Onishi, Viviani C. and Antunes, Carlos H. and Fraga, Eric S. and Cabezas, Heriberto},
	doi = {10.1016/j.energy.2019.03.095},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {175},
	unique-id = {31129956},
	issn = {0360-5442},
	abstract = {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.},
	keywords = {risk management; Mixed-integer nonlinear programming (MINLP); Combined heating; Cooling and power (CHCP) production; Integrated sizing and operation; Correlated data uncertainty},
	year = {2019},
	eissn = {1873-6785},
	pages = {781-797}
}

@article{MTMT:31118723,
	title = {Detecting dynamic system regime boundaries with Fisher information: the case of ecosystems},
	url = {https://m2.mtmt.hu/api/publication/31118723},
	author = {König, Éva and Cabezas, Heriberto and Mayer, Audrey L.},
	doi = {10.1007/s10098-019-01718-9},
	journal-iso = {CLEAN TECHNOL ENVIRON POLICY},
	journal = {CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY},
	volume = {21},
	unique-id = {31118723},
	issn = {1618-954X},
	year = {2019},
	eissn = {1618-9558},
	pages = {1471-1483}
}

@article{MTMT:31047885,
	title = {An Information Theory-Based Approach to Assessing Spatial Patterns in Complex Systems},
	url = {https://m2.mtmt.hu/api/publication/31047885},
	author = {Eason, Tarsha and Chuang, Wen-Ching and Sundstrom, Shana and Cabezas, Heriberto},
	doi = {10.3390/e21020182},
	journal-iso = {ENTROPY-SWITZ},
	journal = {ENTROPY},
	volume = {21},
	unique-id = {31047885},
	abstract = {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.},
	keywords = {Regime shifts; Fisher information (FI); spatial assessment; information theory (IT); geospatial data; early warning indicators (EWI)},
	year = {2019},
	eissn = {1099-4300},
	orcid-numbers = {Eason, Tarsha/0000-0001-9881-3293; Sundstrom, Shana/0000-0003-0823-8008}
}

@article{MTMT:31046272,
	title = {Systems Analysis of Electricity Transmission Networks for Improved Sustainability},
	url = {https://m2.mtmt.hu/api/publication/31046272},
	author = {Piglerné, Lakner Rozália and PS, Varbanov and Friedler, Ferenc},
	doi = {10.3303/CET1976104},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {76},
	unique-id = {31046272},
	issn = {1974-9791},
	year = {2019},
	eissn = {2283-9216},
	pages = {619-624},
	orcid-numbers = {Piglerné, Lakner Rozália/0000-0001-5665-479X}
}

@inbook{MTMT:31044790,
	title = {Generating Efficient Wastewater Treatment Networks: an integrated approach comprising of contaminant properties, technology suitability, plant design, and process optimization},
	url = {https://m2.mtmt.hu/api/publication/31044790},
	author = {Yenkie, Kirti M. and Burnham, Scan and Dailey, James and Cabezas, Heriberto and Friedler, Ferenc},
	booktitle = {29th European Symposium on Computer Aided Process Engineering},
	doi = {10.1016/B978-0-12-818634-3.50268-X},
	unique-id = {31044790},
	abstract = {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.},
	keywords = {WATER; Optimization; P-graph; sustainable process design; technology model},
	year = {2019},
	pages = {1603-1608}
}

@article{MTMT:30918059,
	title = {Synthesis of heat integrated processing systems taking into account reliability},
	url = {https://m2.mtmt.hu/api/publication/30918059},
	author = {Orosz, Ákos and Kovács, Zoltán and Friedler, Ferenc},
	doi = {10.1016/j.energy.2019.05.173},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {181},
	unique-id = {30918059},
	issn = {0360-5442},
	year = {2019},
	eissn = {1873-6785},
	pages = {214-225}
}

@article{MTMT:30642863,
	title = {Evaluation of the Energy Supply Options of a Manufacturing Plant by the Application of the P-Graph Framework},
	url = {https://m2.mtmt.hu/api/publication/30642863},
	author = {Éles, András and Halász, László and Heckl, István and Cabezas, Heriberto},
	doi = {10.3390/en12081484},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {12},
	unique-id = {30642863},
	issn = {1996-1073},
	year = {2019},
	eissn = {1996-1073},
	pages = {1484}
}