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Giannikopoulos I, Skouteris A, Edgar TF, Baldea M, Allen DT, Stadtherr MA. Geospatial Network Approach for Assessing Economic Potential of Ethylene-to-Fuel Technology in the Marcellus Shale Region. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c02300] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ioannis Giannikopoulos
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St., Austin, Texas 78712-1589, United States
| | - Alkiviadis Skouteris
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St., Austin, Texas 78712-1589, United States
| | - Thomas F. Edgar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St., Austin, Texas 78712-1589, United States
| | - Michael Baldea
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St., Austin, Texas 78712-1589, United States
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th St., Austin, Texas 78712-1229, United States
| | - David T. Allen
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St., Austin, Texas 78712-1589, United States
- Center for Energy and Environmental Resources, The University of Texas at Austin, 10500 Exploration Way, Austin, Texas 78758, United States
| | - Mark A. Stadtherr
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St., Austin, Texas 78712-1589, United States
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2
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Skouteris A, Giannikopoulos I, Edgar TF, Baldea M, Allen DT, Stadtherr MA. Systems Analysis of Natural Gas Liquid Resources for Chemical Manufacturing: Strategic Utilization of Ethane. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01867] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Alkiviadis Skouteris
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States
| | - Ioannis Giannikopoulos
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States
| | - Thomas F. Edgar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States
| | - Michael Baldea
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th Street, Austin, Texas 78712-1229, United States
| | - David T. Allen
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States
- Center for Energy and Environmental Resources, The University of Texas at Austin, 10500 Exploration Way, Austin, Texas 78758, United States
| | - Mark A. Stadtherr
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States
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3
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Baratsas SG, Niziolek AM, Onel O, Matthews LR, Floudas CA, Hallermann DR, Sorescu SM, Pistikopoulos EN. A framework to predict the price of energy for the end-users with applications to monetary and energy policies. Nat Commun 2021; 12:18. [PMID: 33398000 PMCID: PMC7782726 DOI: 10.1038/s41467-020-20203-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 11/09/2020] [Indexed: 11/21/2022] Open
Abstract
Energy affects every single individual and entity in the world. Therefore, it is crucial to precisely quantify the “price of energy” and study how it evolves through time, through major political and social events, and through changes in energy and monetary policies. Here, we develop a predictive framework, an index to calculate the average price of energy in the United States. The complex energy landscape is thoroughly analysed to accurately determine the two key factors of this framework: the total demand of the energy products directed to the end-use sectors, and the corresponding price of each product. A rolling horizon predictive methodology is introduced to estimate future energy demands, with excellent predictive capability, shown over a period of 174 months. The effectiveness of the framework is demonstrated by addressing two policy questions of significant public interest. Global energy transformation requires quantifying the "price of energy" and studying its evolution. Here the authors present a predictive framework that calculates the average US price of energy, estimating future energy demands for up to four years with excellent accuracy, designing and optimizing energy and monetary policies.
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Affiliation(s)
- Stefanos G Baratsas
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.,Texas A&M Energy Institute, Texas A&M University, College Station, TX, 77843, USA
| | - Alexander M Niziolek
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.,Texas A&M Energy Institute, Texas A&M University, College Station, TX, 77843, USA
| | - Onur Onel
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.,Texas A&M Energy Institute, Texas A&M University, College Station, TX, 77843, USA
| | - Logan R Matthews
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.,Texas A&M Energy Institute, Texas A&M University, College Station, TX, 77843, USA
| | - Christodoulos A Floudas
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.,Texas A&M Energy Institute, Texas A&M University, College Station, TX, 77843, USA
| | - Detlef R Hallermann
- Department of Finance, Mays Business School, Texas A&M University, College Station, TX, 77843, USA
| | - Sorin M Sorescu
- Department of Finance, Mays Business School, Texas A&M University, College Station, TX, 77843, USA
| | - Efstratios N Pistikopoulos
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA. .,Texas A&M Energy Institute, Texas A&M University, College Station, TX, 77843, USA.
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4
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Chang F, Zhang X, Zhan G, Duan Y, Zhang S. Review of Methods for Sustainability Assessment of Chemical Engineering Processes. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c04720] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Fei Chang
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Multiphase Complex Systems, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China
- School of Chemistry and Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Xiangping Zhang
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Multiphase Complex Systems, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China
- School of Chemistry and Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Guoxiong Zhan
- School of Chemistry and Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yuanmeng Duan
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Multiphase Complex Systems, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China
| | - Suojiang Zhang
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Multiphase Complex Systems, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China
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5
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6
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Saif Y, Almansoori A, Bilici I, Elkamel A. Sustainable management and design of the energy‐water‐food nexus using a mathematical programming approach. CAN J CHEM ENG 2020. [DOI: 10.1002/cjce.23825] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Yousef Saif
- Department of Chemical Engineering Khalifa University of Science and Technology Abu Dhabi UAE
| | - Ali Almansoori
- Department of Chemical Engineering Khalifa University of Science and Technology Abu Dhabi UAE
| | - Ibrahim Bilici
- Department of Chemical Engineering Khalifa University of Science and Technology Abu Dhabi UAE
| | - Ali Elkamel
- Department of Chemical Engineering Khalifa University of Science and Technology Abu Dhabi UAE
- Department of Chemical Engineering University of Waterloo Waterloo Ontario Canada
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7
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Ondeck A, Drouven M, Blandino N, Grossmann IE. Multi-system shale gas supply chain planning with development and resource arrangements. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.05.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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8
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Abstract
Products from chemical engineering are essential for human well-being, but they also contribute to the degradation of ecosystem goods and services that are essential for sustaining all human activities. To contribute to sustainability, chemical engineering needs to address this paradox by developing chemical products and processes that meet the needs of present and future generations. Unintended harm of chemical engineering has usually appeared outside the discipline's traditional system boundary due to shifting of impacts across space, time, flows, or disciplines, and exceeding nature's capacity to supply goods and services. Being a subdiscipline of chemical engineering, process systems engineering (PSE) is best suited for ensuring that chemical engineering makes net positive contributions to sustainable development. This article reviews the role of PSE in the quest toward a sustainable chemical engineering. It focuses on advances in metrics, process design, product design, and process dynamics and control toward sustainability. Efforts toward contributing to this quest have already expanded the boundary of PSE to consider economic, environmental, and societal aspects of processes, products, and their life cycles. Future efforts need to account for the role of ecosystems in supporting industrial activities, and the effects of human behavior and markets on the environmental impacts of chemical products. Close interaction is needed between the reductionism of chemical engineering science and the holism of process systems engineering, along with a shift in the engineering paradigm from wanting to dominate nature to learning from it and respecting its limits.
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Affiliation(s)
- Bhavik R Bakshi
- Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, USA;
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9
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Technoeconomic Perspective on Natural Gas Liquids and Methanol as Potential Feedstocks for Producing Olefins. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b05277] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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10
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Siougkrou E, Lykokanellos F, Barla F, Kokossis AC. Semantically-enabled repositories in multi-disciplinary domains: The case of biorefineries. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.04.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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11
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Municipal solid waste to liquid transportation fuels – Part III: An optimization-based nationwide supply chain management framework. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2017.10.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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12
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Onel O, Niziolek AM, Butcher H, Wilhite BA, Floudas CA. Multi-scale approaches for gas-to-liquids process intensification: CFD modeling, process synthesis, and global optimization. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.01.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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13
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Floudas CA, Niziolek AM, Onel O, Matthews LR. Multi‐scale systems engineering for energy and the environment: Challenges and opportunities. AIChE J 2016. [DOI: 10.1002/aic.15151] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Christodoulos A. Floudas
- Artie McFerrin Dept. of Chemical EngineeringTexas A&M UniversityCollege Station TX77843 USA
- Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M UniversityCollege Station TX77843USA
| | - Alexander M. Niziolek
- Dept. of Chemical and Biological EngineeringPrinceton UniversityPrinceton NJ08544 USA
- Artie McFerrin Dept. of Chemical EngineeringTexas A&M UniversityCollege Station TX77843 USA
- Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M UniversityCollege Station TX77843USA
| | - Onur Onel
- Dept. of Chemical and Biological EngineeringPrinceton UniversityPrinceton NJ08544 USA
- Artie McFerrin Dept. of Chemical EngineeringTexas A&M UniversityCollege Station TX77843 USA
- Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M UniversityCollege Station TX77843USA
| | - Logan R. Matthews
- Dept. of Chemical and Biological EngineeringPrinceton UniversityPrinceton NJ08544 USA
- Artie McFerrin Dept. of Chemical EngineeringTexas A&M UniversityCollege Station TX77843 USA
- Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M UniversityCollege Station TX77843USA
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14
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Hanes RJ, Bakshi BR. Process to planet: A multiscale modeling framework toward sustainable engineering. AIChE J 2015. [DOI: 10.1002/aic.14919] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rebecca J. Hanes
- William G. Lowrie Dept. of Chemical and Biomolecular Engineering; The Ohio State University; Columbus OH 43210
| | - Bhavik R. Bakshi
- William G. Lowrie Dept. of Chemical and Biomolecular Engineering; The Ohio State University; Columbus OH 43210
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15
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Affiliation(s)
- Rebecca J. Hanes
- William G. Lowrie Dept. of Chemical and Biomolecular Engineering; The Ohio State University; Columbus OH 43210
| | - Bhavik R. Bakshi
- William G. Lowrie Dept. of Chemical and Biomolecular Engineering; The Ohio State University; Columbus OH 43210
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16
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Onel O, Niziolek AM, Elia JA, Baliban RC, Floudas CA. Biomass and Natural Gas to Liquid Transportation Fuels and Olefins (BGTL+C2_C4): Process Synthesis and Global Optimization. Ind Eng Chem Res 2015. [DOI: 10.1021/ie503979b] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Onur Onel
- Department of Chemical and
Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Alexander M. Niziolek
- Department of Chemical and
Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Josephine A. Elia
- Department of Chemical and
Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Richard C. Baliban
- Department of Chemical and
Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Christodoulos A. Floudas
- Department of Chemical and
Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
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17
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Elia JA, Li J, Floudas CA. Strategic planning optimization for natural gas to liquid transportation fuel (GTL) systems. Comput Chem Eng 2015. [DOI: 10.1016/j.compchemeng.2014.04.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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18
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19
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Elia JA, Floudas CA. Energy Supply Chain Optimization of Hybrid Feedstock Processes: A Review. Annu Rev Chem Biomol Eng 2014; 5:147-79. [DOI: 10.1146/annurev-chembioeng-060713-040425] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The economic, environmental, and social performances of energy systems depend on their geographical locations and the surrounding market infrastructure for feedstocks and energy products. Strategic decisions to locate energy conversion facilities must take all upstream and downstream operations into account, prompting the development of supply chain modeling and optimization methods. This article reviews the contributions of energy supply chain studies that include heat, power, and liquid fuels production. Studies are categorized based on specific features of the mathematical model, highlighting those that address energy supply chain models with and without considerations of multiperiod decisions. Studies that incorporate uncertainties are discussed, and opportunities for future research developments are outlined.
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Affiliation(s)
- Josephine A. Elia
- Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544
| | - Christodoulos A. Floudas
- Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544
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