TY - CHAP AU - Palas, Burcu AU - Atalay, Süheyda AU - Ersöz, Gülin ED - Sharma, Sanjay K. TI - Catalytic Methods on Wastewater Remediation and Reuse for Circular Economy T2 - Green Chemistry, its Role in Achieving Sustainable Development Goals PB - CRC Press CY - Boca Raton, Florida SN - 9781003301769 PY - 2023 SP - 129 EP - 160 PG - 32 DO - 10.1201/9781003301769-5 UR - https://m2.mtmt.hu/api/publication/34531363 ID - 34531363 LA - English DB - MTMT ER - TY - JOUR AU - Aguilar, A.R.P. AU - Bermejo, J.D.B. AU - Regala, C.J.Z. AU - Zenarosa, G.C. AU - Aviso, K.B. AU - Beltran, A.B. AU - Tan, R.R. TI - P-Graph Optimization of Reverse Osmosis Networks JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 97 PY - 2022 SP - 403 EP - 408 PG - 6 SN - 1974-9791 DO - 10.3303/CET2297068 UR - https://m2.mtmt.hu/api/publication/33595911 ID - 33595911 N1 - Export Date: 26 January 2023; Cited By: 0; Correspondence Address: A.B. Beltran; Department of Chemical Engineering, De La Salle University, Manila, 2401 Taft Avenue, 0922, Philippines; email: arnel.beltran@dlsu.edu.ph AB - 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. LA - English DB - MTMT ER - TY - BOOK AU - Friedler, Ferenc AU - Orosz, Ákos AU - Pimentel, Jean TI - P-graphs for process systems engineering: Mathematical models and algorithms PB - Springer Netherlands CY - Cham PY - 2022 SP - 261 SN - 9783030922160 DO - 10.1007/978-3-030-92216-0 UR - https://m2.mtmt.hu/api/publication/32681060 ID - 32681060 N1 - Cited By :19 Export Date: 16 October 2023 Correspondence Address: Friedler, F.; Széchenyi István UniversityHungary LA - English DB - MTMT ER - TY - JOUR AU - Hu, Yicheng AU - Aguirre-Villegas, Horacio AU - Larson, Rebecca A. AU - Zavala, Victor M. TI - Managing Conflicting Economic and Environmental Metrics in Livestock Manure Management JF - ACS - ES & T ENGINEERING J2 - ACS - EST ENG VL - 2 PY - 2022 IS - 5 SP - 819 EP - 830 PG - 12 SN - 2690-0645 DO - 10.1021/acsestengg.1c00385 UR - https://m2.mtmt.hu/api/publication/33503820 ID - 33503820 N1 - Department of Chemical and Biological Engineering, University of Wisconsin─Madison, 1415 Engineering Drive, Madison, WI 53706, United States Department of Biological Systems Engineering, University of Wisconsin─Madison, 460 Henry Mall, Madison, WI 53706, United States Cited By :2 Export Date: 16 October 2023 Correspondence Address: Zavala, V.M.; Department of Chemical and Biological Engineering, 1415 Engineering Drive, United States; email: victor.zavala@wisc.edu Funding details: U.S. Department of Agriculture, USDA Funding details: National Institute of Food and Agriculture, NIFA, 2017-67003-26055 Funding text 1: We acknowledge funding from the U.S. Department of Agriculture, National Institute of Food and Agriculture, under grant number 2017-67003-26055. AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Lin, Ting-Yu AU - Chang, Ping-Teng AU - Lin, Kuo-Ping AU - Chen, Miao-Tzu TI - Optimal synthesis of cogeneration systems using novel intuitionistic fuzzy P-graph JF - MANAGEMENT OF ENVIRONMENTAL QUALITY J2 - MANAG ENVIRON QUAL VL - 33 PY - 2022 IS - 5 SP - 1271 EP - 1289 PG - 19 SN - 1477-7835 DO - 10.1108/MEQ-03-2022-0072 UR - https://m2.mtmt.hu/api/publication/32892834 ID - 32892834 N1 - Export Date: 30 September 2022 Correspondence Address: Chang, P.-T.; Department of Industrial Engineering and Enterprise Information, Taiwan; email: ptchang@thu.edu.tw LA - English DB - MTMT ER - TY - JOUR AU - Pimentel, Jean AU - Aboagye, Emmanuel AU - Orosz, Ákos AU - Markót, Mihály Csaba AU - Cabezas, Heriberto AU - Friedler, Ferenc AU - Yenkie, Kirti M. TI - Enabling technology models with nonlinearities in the synthesis of wastewater treatment networks based on the P-graph framework JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 167 PY - 2022 PG - 15 SN - 0098-1354 DO - 10.1016/j.compchemeng.2022.108034 UR - https://m2.mtmt.hu/api/publication/33204707 ID - 33204707 N1 - Funding Agency and Grant Number: project, "National Laboratories 2020 Program - Artificial Intelligence Subprogram - Establishment of the National Artificial Intelligence Laboratory (MILAB) at Szechenyi Istvan University" [NKFIH-870-21/2020]; National Research, Development and Innovation Fund of Hungary under the Thematic Excellence Programme 2020-National Challenges sub-program funding scheme [TKP2020-NKA-10, 2020-4.1.1-TKP2020] Funding text: The research presented in this paper was partially funded by the project, "National Laboratories 2020 Program - Artificial Intelligence Subprogram - Establishment of the National Artificial Intelligence Laboratory (MILAB) at Szechenyi Istvan University (NKFIH-870-21/2020)." Project TKP2020-NKA-10 has been implemented with the support provided by the National Research, Development and Innovation Fund of Hungary, financed under the 2020-4.1.1-TKP2020 Thematic Excellence Programme 2020-National Challenges sub-program funding scheme. AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Aboagye, Emmanuel A. AU - Pimentel, Jean AU - Orosz, Ákos AU - Cabezas, Heriberto AU - Friedler, Ferenc AU - Yenkie, Kirti M. TI - Efficient Design and Sustainability Assessment of Wastewater Treatment Networks using the P-graph Approach: A Tannery Waste Case Study JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 88 PY - 2021 SP - 493 EP - 498 PG - 6 SN - 1974-9791 DO - 10.3303/CET2188082 UR - https://m2.mtmt.hu/api/publication/32519492 ID - 32519492 N1 - Department of Chemical Engineering, Henry M. Rowan College of Engineering, Rowan University, GlassboroNJ, United States Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Hungary Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary Research Institute of Applied Earth Sciences, University of Miskolc, Miskolc, Hungary Széchenyi István University, Győr, Hungary Export Date: 29 April 2022 Correspondence Address: Yenkie, K.M.; Department of Chemical Engineering, Glassboro, United States; email: yenkie@rowan.edu LA - English DB - MTMT ER - TY - JOUR AU - Benjamin, M.F.D. AU - Aviso, K.B. AU - Belmonte, B.A. AU - Tan, R.R. TI - Optimal Operations of a Bioenergy Park Under Capacity Disruptions via the P-graph Method JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 89 PY - 2021 SP - 139 EP - 144 PG - 6 SN - 1974-9791 DO - 10.3303/CET2189024 UR - https://m2.mtmt.hu/api/publication/33099616 ID - 33099616 N1 - Research Center for the Natural and Applied Sciences, Chemical Engineering Department, University of Santo Tomas, España Blvd., Manila, 1015, Philippines Chemical Engineering Department, De La Salle University, 2401 Taft Avenue, Manila, 0922, Philippines Export Date: 19 September 2022 Correspondence Address: Benjamin, M.F.D.; Research Center for the Natural and Applied Sciences, España Blvd., Philippines; email: mdbenjamin@ust.edu.ph LA - English DB - MTMT ER - TY - JOUR AU - Benjamin, Michael Francis D. AU - Ventura, Jey-R.S. AU - Sangalang, Kim Patrick H. AU - Adorna, Joemer A. AU - Belmonte, Beatriz A. AU - Andiappan, Viknesh TI - Optimal synthesis of Philippine agricultural residue-based integrated biorefinery via the P-graph method under supply and demand constraints JF - JOURNAL OF CLEANER PRODUCTION J2 - J CLEAN PROD VL - 308 PY - 2021 SN - 0959-6526 DO - 10.1016/j.jclepro.2021.127348 UR - https://m2.mtmt.hu/api/publication/32071496 ID - 32071496 N1 - Research Center for the Natural and Applied Sciences/Chemical Engineering Department, University of Santo Tomas, España Blvd, Manila, 1015, Philippines Biomaterials and Environmental Engineering Laboratory, Department of Engineering Science, College of Engineering and Agro-Industrial Technology University of the Philippines Los Baños, College, Los Baños, Laguna 4031, Philippines National Research Council of the Philippines, Valenzuela Hall General Santos Ave, Lower Bicutan, Taguig, Metro Manila 1631, Philippines School of Engineering and Physical Sciences, Heriot-Watt University Malaysia, Putrajaya, Wilayah Persekutuan Putrajaya 62200, Malaysia Cited By :7 Export Date: 16 October 2023 CODEN: JCROE Correspondence Address: Benjamin, M.F.D.; Research Center for the Natural and Applied Sciences/Chemical Engineering Department, España Blvd, Philippines; email: mdbenjamin@ust.edu.ph Funding details: UST – RCNAS Funding details: University of Santo Tomas, UST Funding details: National Research Council of the Philippines, DOST-NRCP Funding text 1: Funding from the University of Santo Tomas through the Research Center for the Natural and Applied Sciences (UST – RCNAS) and the grant from the National Research Council of the Philippines (NRCP) Project No. G69 is gratefully acknowledged. LA - English DB - MTMT ER -