@{MTMT:34531363,
	title = {Catalytic Methods on Wastewater Remediation and Reuse for Circular Economy},
	url = {https://m2.mtmt.hu/api/publication/34531363},
	author = {Palas, Burcu and Atalay, Süheyda and Ersöz, Gülin},
	booktitle = {Green Chemistry, its Role in Achieving Sustainable Development Goals},
	doi = {10.1201/9781003301769-5},
	unique-id = {34531363},
	year = {2023},
	pages = {129-160}
}

@article{MTMT:33595911,
	title = {P-Graph Optimization of Reverse Osmosis Networks},
	url = {https://m2.mtmt.hu/api/publication/33595911},
	author = {Aguilar, A.R.P. and Bermejo, J.D.B. and Regala, C.J.Z. and Zenarosa, G.C. and Aviso, K.B. and Beltran, A.B. and Tan, R.R.},
	doi = {10.3303/CET2297068},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {97},
	unique-id = {33595911},
	issn = {1974-9791},
	abstract = {Seawater desalination using reverse osmosis (RO) technology provides cost-effective solutions for clean water supply. To reduce energy consumption, optimal RO network (RON) designs are generated by either heuristics approach or mathematical programming. This study develops a P-graph approach for RON synthesis for freshwater production. A superstructure based on predefined RON components (pumps, power recovery turbines, and RO units) is developed and optimal and sub-optimal network structures are determined by minimizing the network's total annualized cost (TAC). Two case studies are investigated to demonstrate the capability of the P-graph approach. The first case study is a RON based on El-Halwagi (1992) which considers two pumps, two RO units, and two turbines. The second case study uses Evangelista's (1985) RON configuration, which is a similar network type with only one pump causing the permeate to flow directly to the secondary RO unit. Results show that the optimal network for Case 1 has a TAC of 387,770 USD and an energy consumption of 28,861 MJ/d. The optimal network for Case 2 resulted in a TAC of 359,352 USD with an energy consumption of 24,937 MJ/d. The optimal structure of Case 2 removed the second stage of the system which decreased the TAC and energy consumption of the system. Through the P-graph approach, it can be observed that the framework serves as an alternative method for designing RONs with the advantage of being able to generate alternative process topologies for detailed engineering evaluation. © 2022, AIDIC Servizi S.r.l.},
	year = {2022},
	eissn = {2283-9216},
	pages = {403-408}
}

@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:33503820,
	title = {Managing Conflicting Economic and Environmental Metrics in Livestock Manure Management},
	url = {https://m2.mtmt.hu/api/publication/33503820},
	author = {Hu, Yicheng and Aguirre-Villegas, Horacio and Larson, Rebecca A. and Zavala, Victor M.},
	doi = {10.1021/acsestengg.1c00385},
	journal-iso = {ACS - EST ENG},
	journal = {ACS - ES & T ENGINEERING},
	volume = {2},
	unique-id = {33503820},
	issn = {2690-0645},
	abstract = {ABSTRACT: Dairy farming is a multibillion USD industry that provides essential food products. At the same time, the millions of animals that this industry oversees generate a massive environmental footprint (affecting air, land, and water quality). Specifically, livestock manure is a carbon- and nutrient-rich waste stream that is routinely used as fertilizer. This practice enables nutrient recycling but also leads to greenhouse gas (GHG) emissions and to nutrient pollution of soils and waterbodies. Mitigating these environmental impacts requires investment in manure processing technologies and identifying and prioritizing investment strategies requires understanding inherent conflicts (trade-offs) and synergies that exist between economic and environmental impacts. In this work, we present a conflict analysis and resolution framework that integrates techno-economic analysis (TEA), life cycle assessment (LCA), and supply chain (SC) optimization. We use this framework to investigate deployment scenarios of manure processing pathways in the Upper Yahara watershed region of Wisconsin. We evaluate LCA (GHG emissions, ammonia emissions, fossil energy use, and nutrient pollution) and TEA metrics (cost and revenue) for different pathways that include manure collection, storage, application, and processing steps. The LCA and TEA metrics are embedded within a SC optimization model that makes decisions on technology selection and geographical placement and on product transport in the study area. A conflict resolution procedure is used to explore trade-offs associated with these decisions and to identify optimal compromise solutions that best balance trade-offs. Our results reveal that there are nonobvious conflicts and synergies between the explored metrics that can be exploited to mitigate multiple impacts simultaneously. We also find that the deployment of a diverse set of technologies is needed to fully resolve conflicts. The impact of emerging technologies (ultrafiltration and reverse osmosis) and government incentives is also discussed.},
	keywords = {life cycle assessment; Conflict resolution; Techno-economic analysis; Supply chain optimization; livestock manure management},
	year = {2022},
	pages = {819-830}
}

@article{MTMT:32892834,
	title = {Optimal synthesis of cogeneration systems using novel intuitionistic fuzzy P-graph},
	url = {https://m2.mtmt.hu/api/publication/32892834},
	author = {Lin, Ting-Yu and Chang, Ping-Teng and Lin, Kuo-Ping and Chen, Miao-Tzu},
	doi = {10.1108/MEQ-03-2022-0072},
	journal-iso = {MANAG ENVIRON QUAL},
	journal = {MANAGEMENT OF ENVIRONMENTAL QUALITY},
	volume = {33},
	unique-id = {32892834},
	issn = {1477-7835},
	year = {2022},
	pages = {1271-1289},
	orcid-numbers = {Chang, Ping-Teng/0000-0002-9650-7118; Lin, Kuo-Ping/0000-0002-8649-8959}
}

@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:32519492,
	title = {Efficient Design and Sustainability Assessment of Wastewater Treatment Networks using the P-graph Approach: A Tannery Waste Case Study},
	url = {https://m2.mtmt.hu/api/publication/32519492},
	author = {Aboagye, Emmanuel A. and Pimentel, Jean and Orosz, Ákos and Cabezas, Heriberto and Friedler, Ferenc and Yenkie, Kirti M.},
	doi = {10.3303/CET2188082},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {88},
	unique-id = {32519492},
	issn = {1974-9791},
	year = {2021},
	eissn = {2283-9216},
	pages = {493-498},
	orcid-numbers = {Pimentel, Jean/0000-0003-3359-4848}
}

@article{MTMT:33099616,
	title = {Optimal Operations of a Bioenergy Park Under Capacity Disruptions via the P-graph Method},
	url = {https://m2.mtmt.hu/api/publication/33099616},
	author = {Benjamin, M.F.D. and Aviso, K.B. and Belmonte, B.A. and Tan, R.R.},
	doi = {10.3303/CET2189024},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {89},
	unique-id = {33099616},
	issn = {1974-9791},
	year = {2021},
	eissn = {2283-9216},
	pages = {139-144}
}

@article{MTMT:32071496,
	title = {Optimal synthesis of Philippine agricultural residue-based integrated biorefinery via the P-graph method under supply and demand constraints},
	url = {https://m2.mtmt.hu/api/publication/32071496},
	author = {Benjamin, Michael Francis D. and Ventura, Jey-R.S. and Sangalang, Kim Patrick H. and Adorna, Joemer A. and Belmonte, Beatriz A. and Andiappan, Viknesh},
	doi = {10.1016/j.jclepro.2021.127348},
	journal-iso = {J CLEAN PROD},
	journal = {JOURNAL OF CLEANER PRODUCTION},
	volume = {308},
	unique-id = {32071496},
	issn = {0959-6526},
	year = {2021},
	eissn = {1879-1786},
	orcid-numbers = {Adorna, Joemer A./0000-0002-1360-6891; Andiappan, Viknesh/0000-0002-3863-4346}
}