@article{MTMT:34541885,
	title = {Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems},
	url = {https://m2.mtmt.hu/api/publication/34541885},
	author = {Yao, Yuantao and Han, Te and Yu, Jie and Xie, Min},
	doi = {10.1016/j.energy.2024.130419},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {291},
	unique-id = {34541885},
	issn = {0360-5442},
	year = {2024},
	eissn = {1873-6785},
	orcid-numbers = {Yao, Yuantao/0000-0001-7452-2192; Han, Te/0000-0002-6559-1986}
}

@article{MTMT:34142570,
	title = {Rethinking circularity with Re-refineries and supply chains reintegration via multi-objective pareto graph theoretical approach},
	url = {https://m2.mtmt.hu/api/publication/34142570},
	author = {Yeo, Lip Siang and Tiang, Celine Wei Ping and Teng, Sin Yong and Ng, Wendy Pei Qin and Lim, Chun Hsion and Leong, Wei Dong and Lam, Hon Loong and Sunarso, Jaka and How, Bing Shen},
	doi = {10.1016/j.energy.2023.127814},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {279},
	unique-id = {34142570},
	issn = {0360-5442},
	year = {2023},
	eissn = {1873-6785},
	orcid-numbers = {How, Bing Shen/0000-0002-0969-9167}
}

@book{MTMT:32681060,
	title = {P-graphs for process systems engineering: Mathematical models and algorithms},
	url = {https://m2.mtmt.hu/api/publication/32681060},
	isbn = {9783030922153},
	author = {Friedler, Ferenc and Orosz, Ákos and Pimentel Losada, Jean},
	doi = {10.1007/978-3-030-92216-0},
	publisher = {Springer Netherlands},
	unique-id = {32681060},
	year = {2022}
}

@article{MTMT:33091565,
	title = {Resource optimisation in aquaponics facility via process monitoring and graph-theoretical approach},
	url = {https://m2.mtmt.hu/api/publication/33091565},
	author = {Ondruška, V. and How, B.S. and Netolický, M. and Máša, V. and Teng, S.Y.},
	doi = {10.1016/j.crcon.2022.04.003},
	journal-iso = {CARBON RESOURCES CONVERS},
	journal = {CARBON RESOURCES CONVERSION},
	volume = {2022},
	unique-id = {33091565},
	year = {2022},
	eissn = {2588-9133},
	pages = {4-255}
}

@article{MTMT:33204707,
	title = {Enabling technology models with nonlinearities in the synthesis of wastewater treatment networks based on the P-graph framework},
	url = {https://m2.mtmt.hu/api/publication/33204707},
	author = {Pimentel, Jean and Aboagye, Emmanuel and Orosz, Ákos and Markót, Mihály Csaba and Cabezas, Heriberto and Friedler, Ferenc and Yenkie, Kirti M.},
	doi = {10.1016/j.compchemeng.2022.108034},
	journal-iso = {COMPUT CHEM ENG},
	journal = {COMPUTERS & CHEMICAL ENGINEERING},
	volume = {167},
	unique-id = {33204707},
	issn = {0098-1354},
	abstract = {Designing effective wastewater treatment networks is challenging because of the large number of treatment options available for performing similar tasks. Each treatment option has variability in cost and contaminant removal efficiency. Moreover, their mathematical models are highly nonlinear, thus rendering them computationally intensive. Such systems yield mixed-integer nonlinear programming models which cannot be solved properly with contemporary optimization tools that may result in local optima or may fail to converge. Herein, the P-graph framework is employed, thus generating all potentially feasible process structures, which results in simpler, smaller mathematical models. All potentially feasible process networks are evaluated by nonlinear programming resulting in guaranteed global optimum; furthermore, the ranked list of the n-best networks is also available. With the proposed tool, better facilities can be designed handling complex waste streams with minimal cost and reasonable environmental impact. The novel method is illustrated with two case studies showing its computational effectiveness.},
	year = {2022},
	eissn = {1873-4375},
	orcid-numbers = {Pimentel, Jean/0000-0003-3359-4848; Markót, Mihály Csaba/0000-0002-0747-6242; Yenkie, Kirti M./0000-0002-8044-0369}
}

@article{MTMT:31971129,
	title = {Operations research in Hungary: VOCAL 2018},
	url = {https://m2.mtmt.hu/api/publication/31971129},
	author = {Bertók, Botond and Csendes, Tibor and Galambos, Gábor},
	doi = {10.1007/s10100-021-00741-w},
	journal-iso = {CEJOR},
	journal = {CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH},
	volume = {29},
	unique-id = {31971129},
	issn = {1435-246X},
	year = {2021},
	eissn = {1613-9178},
	pages = {379-386},
	orcid-numbers = {Bertók, Botond/0000-0002-1297-9792; Csendes, Tibor/0000-0002-1136-127X}
}

@article{MTMT:32315944,
	title = {Equipment size selection for optimizing polygeneration systems with reliability aspects},
	url = {https://m2.mtmt.hu/api/publication/32315944},
	author = {Cabral, Charlette and Andiappan, Viknesh and Aviso, Kathleen and Tan, Raymond},
	doi = {10.1016/j.energy.2021.121302},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {234},
	unique-id = {32315944},
	issn = {0360-5442},
	abstract = {Polygeneration systems produce multiple energy streams and other useful outputs at high efficiency and lower environmental impact than stand-alone systems. The interdependency among process units can however lead to cascading failures when equipment capacity fails to meet its load requirement. Since process units are commercially available in discrete sizes, the overall reliability of a polygeneration system is dependent on capacity-load ratio of the selected equipment. The conventional definition of reliability, which is based on whether equipment are operational or not, fails to account for the capacity-load ratio. To address this gap, this paper presents a mixed-integer nonlinear programming (MINLP) model for the synthesis of an optimal energy system that meets reliability specifications. The system reliability is optimized through selection of equipment capacity considering each process unit's intrinsic reliability profile relative to its capacity-load ratio. The rated capacity of the selected equipment size should exceed the expected load of each process unit by a margin that gives the required reliability. The model is applied to a polygeneration system case study to demonstrate its capabilities. The results emphasize the tradeoff between the total annualized cost and the system reliability. (c) 2021 Elsevier Ltd. All rights reserved.},
	keywords = {Energy system; System reliability; Polygeneration; Input-output model; Equipment size selection; Capacity-load ratio},
	year = {2021},
	eissn = {1873-6785},
	orcid-numbers = {Andiappan, Viknesh/0000-0002-3863-4346; Aviso, Kathleen/0000-0002-9994-5172}
}

@{MTMT:32106185,
	title = {Markov Decision Process to Optimise Long-term Asset Maintenance and Technologies Investment in Chemical Industry},
	url = {https://m2.mtmt.hu/api/publication/32106185},
	author = {Chin, Hon Huin and Wang, Bohong and Varbanov, Petar Sabev and Klemeš, Jiří Jaromír},
	booktitle = {31st European Symposium on Computer Aided Process Engineering},
	doi = {10.1016/B978-0-323-88506-5.50287-4},
	unique-id = {32106185},
	year = {2021},
	pages = {1853-1858}
}

@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:32315945,
	title = {Design of energy systems with redundancy allocation for unit operations based on supply reliability},
	url = {https://m2.mtmt.hu/api/publication/32315945},
	author = {Ling, Wen Choong and Andiappan, Viknesh and Chew, Irene M. L.},
	doi = {10.1002/er.7167},
	journal-iso = {INT J ENERG RES},
	journal = {INTERNATIONAL JOURNAL OF ENERGY RESEARCH},
	volume = {45},
	unique-id = {32315945},
	issn = {0363-907X},
	abstract = {Several mathematical models have been developed in the past to consider reliability when designing energy systems. However, these models focus on the system reliability which only considers the operability of the system. Hence, a reliability indicator called supply reliability is introduced to explicitly assess an energy system's reliability meeting the desired energy demand. Besides, previous models can only allocate equipment with identical sizes and equipment reliability. This could overdesign systems and ignore the possibility of allocating a combination of different equipment sizes and reliability. This paper presents a combinatory matrix methodology for allocating equipment with different sizes and reliabilities to improve supply reliability of an energy system design. This combinatory matrix method is a novel feature that allows decision-makers to efficiently evaluate various configurations of equipment based on size and reliability. A case study consisting of a power distribution network is first presented and solved as a pedagogical example to illustrate the methodology and features of the proposed approach. Then, a large-scale power system case study in Malaysia combining existing conventional power equipment and a palm-based bioelectricity supply chain is solved. Based on the optimized results, the redundancy allocated increased the energy generated from the bioelectricity supply chain by 74.14% and cost by 82.96% to achieve the desired energy demand at high supply reliability. This allows decision-makers to determine the cost associated with improving supply reliability for an energy system.},
	keywords = {Energy system; Redundancy allocation; supply reliability},
	year = {2021},
	eissn = {1099-114X},
	pages = {21114-21139},
	orcid-numbers = {Andiappan, Viknesh/0000-0002-3863-4346}
}

@article{MTMT:32517502,
	title = {A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty},
	url = {https://m2.mtmt.hu/api/publication/32517502},
	author = {Mimica, Marko and De Urtasun, Laura Giménez and Krajačić, Goran},
	doi = {10.1016/j.energy.2021.122769},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {1},
	unique-id = {32517502},
	issn = {0360-5442},
	year = {2021},
	eissn = {1873-6785},
	orcid-numbers = {Mimica, Marko/0000-0001-8907-8725}
}

@article{MTMT:31637270,
	title = {Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production},
	url = {https://m2.mtmt.hu/api/publication/31637270},
	author = {Cao, Jian and He, Yanlin and Zhu, Qunxiong},
	doi = {10.1021/acs.iecr.0c03563},
	journal-iso = {IND ENG CHEM RES},
	journal = {INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH},
	volume = {59},
	unique-id = {31637270},
	issn = {0888-5885},
	year = {2020},
	eissn = {1520-5045},
	pages = {18965-18976}
}

@article{MTMT:31637271,
	title = {Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry},
	url = {https://m2.mtmt.hu/api/publication/31637271},
	author = {Cao, Jian and He, Yan-Lin and Zhu, Qun-Xiong},
	doi = {10.1016/j.chemolab.2020.104119},
	journal-iso = {CHEMOMETR INTELL LAB},
	journal = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS},
	volume = {205},
	unique-id = {31637271},
	issn = {0169-7439},
	year = {2020},
	eissn = {1873-3239}
}

@article{MTMT:31301177,
	title = {Synthesis of Alternative Cost-Effective Process Flowsheets for Lactic Acid Valorization by Means of the P-Graph Methodology},
	url = {https://m2.mtmt.hu/api/publication/31301177},
	author = {Pimentel, Jean and Rodríguez, Gerardo and Gil, Iván},
	doi = {10.1021/acs.iecr.9b06555},
	journal-iso = {IND ENG CHEM RES},
	journal = {INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH},
	volume = {59},
	unique-id = {31301177},
	issn = {0888-5885},
	year = {2020},
	eissn = {1520-5045},
	pages = {5921-5930},
	orcid-numbers = {Pimentel, Jean/0000-0003-3359-4848}
}

@article{MTMT:31361333,
	title = {Managing Alternative Patient Appointments Using P-Graph Methodology},
	url = {https://m2.mtmt.hu/api/publication/31361333},
	author = {Süle, Zoltán and Baumgartner, János and Fogarassyné Vathy, Ágnes},
	doi = {10.3233/SHTI200074},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {271},
	unique-id = {31361333},
	issn = {0926-9630},
	abstract = {Background: Patient appointment scheduling is one of the main challenging tasks in the healthcare administration and is constantly in the focus of theoretical researches. Objectives: The aim of this study was to investigate the applicability of the P-graph (Process graph) methodology to find the n-best alternative for patient's scheduling. Methods: The patient appointment scheduling task was formalised as an integer linear programming problem and was considered as a process network synthesis problem. The optimal and n-best alternative solutions were determined by an efficient branch and bound algorithm implemented in a decision support system. Results: Experimental results show, that the P-graph methodology can be effectively applied to produce the optimal scheduling for the examinations and to find the alternatives of the best scheduling.},
	keywords = {decision support system; Appointments and Schedules; medical process optimisation; process graph},
	year = {2020},
	eissn = {1879-8365},
	pages = {57-64},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31040412,
	title = {Raw material management networks based on an improved P‐graph integrated carbon emission pinch analysis (CEPA‐P‐graph) method},
	url = {https://m2.mtmt.hu/api/publication/31040412},
	author = {Mu, Peng and Yang, Yu and Han, YongMing and Gu, Xiangbai and Zhu, QunXiong},
	doi = {10.1002/cjce.23682},
	journal-iso = {CAN J CHEM ENG},
	journal = {CANADIAN JOURNAL OF CHEMICAL ENGINEERING},
	volume = {98},
	unique-id = {31040412},
	issn = {0008-4034},
	year = {2019},
	eissn = {1939-019X},
	pages = {676-689}
}

@article{MTMT:31045026,
	title = {Energy integration and optimisation for sustainable total site, process and equipment design},
	url = {https://m2.mtmt.hu/api/publication/31045026},
	author = {Walmsley, Timothy Gordon and Varbanov, Petar Sabev and Aviso, Kathleen and You, Fengqi},
	doi = {10.1016/j.energy.2019.115896},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {186},
	unique-id = {31045026},
	issn = {0360-5442},
	abstract = {The current Virtual Special Issue of the Energy Journal contains cutting-edge developments in energy research that were presented at the 21st Conference on Process Integration for Energy Saving and Pollution Reduction, held in Prague, Czech Republic, on 25-29 August 2018. Conference PRES hosted more than 234 oral and 221 poster presentations. Out of these papers, the 34 contributions in this VSI represent a selection of the most significant developments in the area of energy research, and each article includes extensions and additional results beyond the conference paper. Conference PRES is an annual symposium that aims to attract thought-leaders and academics to facilitate an ongoing discussion around energy, the impact on the environment, and the way forward. This paper provides an overview of each contribution, the context of their development, and groups them into four research themes: (1) Heat Exchangers and Heat Exchanger Networks, (2) System Optimisation, (3) System Design and Analysis, and (4) Process and System Synthesis. (C) 2019 Elsevier Ltd. All rights reserved.},
	keywords = {Heat Transfer; Process design; Process integration; Process synthesis},
	year = {2019},
	eissn = {1873-6785},
	orcid-numbers = {You, Fengqi/0000-0001-9609-4299}
}