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Wu F, Zhou Z, Zhang S, Cheng F, Tong Y, Li L, Zhang B, Zeng X, Li H, Wang D, Yu Z, You J. Toxicity identification evaluation for hydraulic fracturing flowback and produced water during shale gas exploitation in China: Evidence from tissue residues and gene expression. WATER RESEARCH 2023; 241:120170. [PMID: 37290192 DOI: 10.1016/j.watres.2023.120170] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/10/2023]
Abstract
Hydraulic fracturing flowback and produced water (HF-FPW) from shale gas extraction processes is a highly complex medium with potential threats to the environment. Current research on ecological risks of FPW in China is limited, and the link between major components of FPW and their toxicological effects on freshwater organisms is largely unknown. By integrating chemical and biological analyses, toxicity identification evaluation (TIE) was used to reveal causality between toxicity and contaminants, potentially disentangling the complex toxicological nature of FPW. Here, FPW from different shale gas wells, treated FPW effluent, and a leachate from HF sludge were collected from southwest China, and TIE was applied to obtain a comprehensive toxicity evaluation in freshwater organisms. Our results showed that FPW from the same geographic zone could cause significantly different toxicity. Salinity, solid phase particulates, and organic contaminants were identified as the main contributors to the toxicity of FPW. In addition to water chemistry, internal alkanes, PAHs, and HF additives (e.g., biocides and surfactants) were quantified in exposed embryonic fish by target and non-target tissue analyses. The treated FPW failed to mitigate the toxicity associated with organic contaminants. Transcriptomic results illustrated that organic compounds induced toxicity pathways in FPW-exposed embryonic zebrafish. Similar zebrafish gene ontologies were affected between treated and untreated FPW, again confirming that sewage treatment did not effectively remove organic chemicals from FPW. Thus, zebrafish transcriptome analyses revealed organic toxicant-induced adverse outcome pathways and served as evidence for TIE confirmation in complex mixtures under data-poor scenarios.
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Affiliation(s)
- Fan Wu
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Zhimin Zhou
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Shaoqiong Zhang
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Fei Cheng
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Yujun Tong
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Liang Li
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Biao Zhang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Xiangying Zeng
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Huizhen Li
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Dali Wang
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Jing You
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
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2
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Liang J, Xie T, Liu Y, Wu Q, Bai Y, Liu B. Granular activated carbon (GAC) fixed bed adsorption combined with ultrafiltration for shale gas wastewater internal reuse. ENVIRONMENTAL RESEARCH 2022; 212:113486. [PMID: 35597290 DOI: 10.1016/j.envres.2022.113486] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Membrane processes are widely applied in shale gas flowback and produced water (SGFPW) reuse. However, particulate matters and organic matters aggravate membrane fouling, which is one of the major restrictions on SGFPW reuse. The present study proposed fixed bed adsorption using granular activated carbon (GAC) combined with ultrafiltration (UF) for the first time to investigate the treatment performance and membrane fouling mechanism. The adsorption of GAC for SGFPW was best described by the Temkin isotherm model and the pseudo-second-order kinetic model. GAC fixed bed pretreatment with different empty bed contact times (EBCT) (30, 60 and 90 min) showed the significant removal rate for dissolved organic carbon (DOC) and turbidity, which was 34.7%-42.4% and 98.1%-98.9%, respectively. According to characterization of UF membrane fouling layer, particulate matters and organic matters caused major part of membrane fouling. After being treated by GAC fixed bed, total fouling index (TFI) and hydraulic irreversible fouling index (HIFI) respectively decreased by more than 32.5% and 18.3% respectively, showing the mitigation effect of GAC fixed bed on membrane fouling. According to the XDLVO theory, GAC fixed bed also mitigated membrane fouling by reducing the hydrophobic interactions between the foulants and the UF membrane. The integrated GAC fixed bed-UF process produced high-quality effluents that met the water quality standards of SGFPW internal reuse, which was an effective technology of the SGFPW reuse.
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Affiliation(s)
- Jiaxin Liang
- Key Laboratory of Deep Earth Science and Engineering (Ministry of Education), College of Architecture and Environment, Engineering Research Center of Alternative Energy Materials & Devices (Ministry of Education), Institute of New Energy and Low-Carbon Technology, Chengdu, Sichuan, 610207, PR China
| | - Tianqiao Xie
- Key Laboratory of Deep Earth Science and Engineering (Ministry of Education), College of Architecture and Environment, Engineering Research Center of Alternative Energy Materials & Devices (Ministry of Education), Institute of New Energy and Low-Carbon Technology, Chengdu, Sichuan, 610207, PR China
| | - Yuanhui Liu
- Key Laboratory of Deep Earth Science and Engineering (Ministry of Education), College of Architecture and Environment, Engineering Research Center of Alternative Energy Materials & Devices (Ministry of Education), Institute of New Energy and Low-Carbon Technology, Chengdu, Sichuan, 610207, PR China; Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Section 2, Lingang Ave., Cuiping District, Yibin, Sichuan, 644000, PR China
| | - Qidong Wu
- Key Laboratory of Deep Earth Science and Engineering (Ministry of Education), College of Architecture and Environment, Engineering Research Center of Alternative Energy Materials & Devices (Ministry of Education), Institute of New Energy and Low-Carbon Technology, Chengdu, Sichuan, 610207, PR China; Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Section 2, Lingang Ave., Cuiping District, Yibin, Sichuan, 644000, PR China
| | - Yuhua Bai
- Infrastructure Construction Department, Chengdu University, Chengdu, 610106, PR China
| | - Baicang Liu
- Key Laboratory of Deep Earth Science and Engineering (Ministry of Education), College of Architecture and Environment, Engineering Research Center of Alternative Energy Materials & Devices (Ministry of Education), Institute of New Energy and Low-Carbon Technology, Chengdu, Sichuan, 610207, PR China; Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Section 2, Lingang Ave., Cuiping District, Yibin, Sichuan, 644000, PR China.
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3
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Zhou W, Iqbal K, Sun X, Gan D, Deng C, Ponce-Ortega JM, Chen C. Disjunctive Programming Model for the Synthesis of Property-based Water Supply Network with Multiple Resources. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.08.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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4
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Labarta JA, Olaya MM, Marcilla AF. What does the
NRTL
model look like? Determination of boundaries for different fluid phase equilibrium regions. AIChE J 2022. [DOI: 10.1002/aic.17805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Juan A. Labarta
- Department of Chemical Engineering & Institute of Chemical Process Engineering University of Alicante, PO 99 Alicante Spain
| | - María M. Olaya
- Department of Chemical Engineering & Institute of Chemical Process Engineering University of Alicante, PO 99 Alicante Spain
| | - Antonio F. Marcilla
- Department of Chemical Engineering & Institute of Chemical Process Engineering University of Alicante, PO 99 Alicante Spain
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5
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Fair shale gas water cost distribution using Nash bargaining game. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Wang Q, Yang X. Evaluating the potential for sustainable development of China's shale gas industry by combining multi-level DPSIR framework, PPFCI technique and RAGA algorithm. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 780:146525. [PMID: 34030295 DOI: 10.1016/j.scitotenv.2021.146525] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 02/19/2021] [Accepted: 03/12/2021] [Indexed: 06/12/2023]
Abstract
This work was aimed to comprehensively evaluate the potential for sustainable development of China's shale gas industry. It will contribute to the sustainable development of China's energy and economic. Factors of resource, technology, economy and environment were selected to develop the DPSIR framework evaluation indicators in system for shale gas based on the previous research. Next, The PPFCI (projection pursuit fuzzy clustering model) technique was developed by combining the projection pursuit model with a fuzzy clustering iterative model. So that it can deal with the multi-source, high-dimensional, fuzzy data of the proposed evaluation indicators. And then, the RAGA (accelerated genetic algorithm based on real coding) algorithm was developed to run the PPFCI technique. The results show that core technical capability, investment in projects of prevention of geological disasters, and ecological environment damage indicators were the key factors affecting the sustainability of China's shale gas industry. The potential for sustainable development of China's shale gas industry was relatively low. And it was unbalanced in different provinces. The potential for sustainable development of the southwest region was better than the northwest region. Among them, the development of Sichuan was more stable than Chongqing, with a 99% probability of maintaining a stable and sustainable development state, while Chongqing province has a 15%-20% probability to fluctuate towards the poles.
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Affiliation(s)
- Qiang Wang
- School of Economics and Management, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China; Institute for Energy Economics and Policy, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China.
| | - Xuan Yang
- School of Economics and Management, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China; Institute for Energy Economics and Policy, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China
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Dou Z, Liu Y, Zhang J, Xu X, Zhang W, Zhu J. Optimization of Well Factory Platform Mode Considering Optimal Allocation of Water Resources. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021. [DOI: 10.1007/s13369-021-05777-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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8
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Oke D, Mukherjee R, Sengupta D, Majozi T, El-Halwagi M. Hybrid Regeneration Network for Flowback Water Management. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c01361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Doris Oke
- School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg 2000, South Africa
| | - Rajib Mukherjee
- Gas and Fuels Research Center, Texas A&M Engineering Experiment Station, College Station, Texas 77843, United States
- Department of Chemical Engineering, University of Texas Permian Basin, Odessa, Texas 79762, United States
| | - Debalina Sengupta
- Gas and Fuels Research Center, Texas A&M Engineering Experiment Station, College Station, Texas 77843, United States
| | - Thokozani Majozi
- School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg 2000, South Africa
| | - Mahmoud El-Halwagi
- Gas and Fuels Research Center, Texas A&M Engineering Experiment Station, College Station, Texas 77843, United States
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States
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9
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Chen Y, Cheng X, Li J, He L. A multi-level programming for shale gas-water supply chains accounting for tradeoffs between economic and environmental concerns. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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10
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Zhang Z, Deng C, Chang C, Kong F, Lee JY, Ng DKS, Feng X. Optimal Design of a UF-RO Treatment System for Shale Gas Fracturing Flowback Wastewater. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.9b06546] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Zhuang Zhang
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum, Beijing, 102249, China
| | - Chun Deng
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum, Beijing, 102249, China
| | - Chenlin Chang
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum, Beijing, 102249, China
| | - Fanxin Kong
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum, Beijing, 102249, China
| | - Jui-Yuan Lee
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 10608, Taiwan
| | - Denny K. S. Ng
- School of Engineering and Physical Sciences, Heriot-Watt University Malaysia, Putrajaya, 62200, Malaysia
| | - Xiao Feng
- School of Chemical Engineering & Technology, Xi’an Jiaotong University, Xi’an 710049, China
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Abstract
This paper introduces a comprehensive study of the Life Cycle Impact Assessment (LCIA) of water management in shale gas exploitation. First, we present a comprehensive study of wastewater treatment in the shale gas extraction, including the most common technologies for the pretreatment and three different desalination technologies of recent interest: Single and Multiple-Effect Evaporation with Mechanical Vapor Recompression and Membrane Distillation. The analysis has been carried out through a generic Life Cycle Assessment (LCA) and the ReCiPe metric (at midpoint and endpoint levels), considering a wide range of environmental impacts. The results show that among these technologies Multiple-Effect Evaporation with Mechanical Vapor Recompression (MEE-MVR) is the most suitable technology for the wastewater treatment in shale gas extraction, taking into account its reduced environmental impact, the high water recovery compared to other alternatives as well as the lower cost of this technology. We also use a comprehensive water management model that includes previous results that takes the form of a new Mixed-Integer Linear Programming (MILP) bi-criterion optimization model to address the profit maximization and the minimization Life Cycle Impact Assessment (LCIA), based on its results we discuss the main tradeoffs between optimal operation from the economic and environmental points of view.
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12
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Sedlacko EM, Jahn CE, Heuberger AL, Sindt NM, Miller HM, Borch T, Blaine AC, Cath TY, Higgins CP. Potential for Beneficial Reuse of Oil and Gas-Derived Produced Water in Agriculture: Physiological and Morphological Responses in Spring Wheat (Triticum aestivum). ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2019; 38:1756-1769. [PMID: 31017691 DOI: 10.1002/etc.4449] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 02/15/2019] [Accepted: 04/19/2019] [Indexed: 05/23/2023]
Abstract
Produced water (PW) from oil and gas operations is considered a potential resource for food crop irrigation because of increasing water scarcity in dryland agriculture. However, efforts to employ PW for agriculture have been met with limited success. A greenhouse study was performed to evaluate the effects of PW on physiological and morphological traits of spring wheat (Triticum aestivum). Plants were irrigated with water treatments containing 10 and 50% PW (PW10 and PW50, respectively) and compared to a matching 50% salinity (NaCl50) and 100% tap water controls. Compared to controls, plants watered with PW10 and PW50 exhibited developmental arrest and reductions in aboveground and belowground biomass, photosynthetic efficiency, and reproductive growth. Decreases in grain yield ranged from 70 to 100% in plants irrigated with PW compared to the tap water control. Importantly, the PW10 and NaCl50 treatments were comparable for morphophysiological effects, even though NaCl50 contained 5 times the total dissolved solids, suggesting that constituents other than NaCl in PW contributed to plant stress. These findings indicate that despite discharge and reuse requirements focused on total dissolved solids, salinity stress may not be the primary factor affecting crop health. The results of the present study are informative for developing guidelines for the use of PW in agriculture to ensure minimal effects on crop morphology and physiology. Environ Toxicol Chem 2019;38:1756-1769. © 2019 SETAC.
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Affiliation(s)
- Erin M Sedlacko
- Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado, USA
| | - Courtney E Jahn
- Department of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado, USA
| | - Adam L Heuberger
- Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, Colorado, USA
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Nathan M Sindt
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, Colorado, USA
| | - Hannah M Miller
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Thomas Borch
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Andrea C Blaine
- Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado, USA
| | - Tzahi Y Cath
- Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado, USA
| | - Christopher P Higgins
- Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado, USA
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13
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Chang H, Liu B, Yang B, Yang X, Guo C, He Q, Liang S, Chen S, Yang P. An integrated coagulation-ultrafiltration-nanofiltration process for internal reuse of shale gas flowback and produced water. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2018.09.081] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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14
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Carrero-Parreño A, Reyes-Labarta JA, Salcedo-Díaz R, Ruiz-Femenia R, Onishi VC, Caballero JA, Grossmann IE. Holistic Planning Model for Sustainable Water Management in the Shale Gas Industry. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b02055] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Alba Carrero-Parreño
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Juan A. Reyes-Labarta
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Raquel Salcedo-Díaz
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Rubén Ruiz-Femenia
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Viviani C. Onishi
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - José A. Caballero
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Ignacio E. Grossmann
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
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