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Yan J, Liang L, He Q, Li C, Xu F, Sun J, Goh EB, Konda NVSNM, Beller HR, Simmons BA, Pray TR, Thompson VS, Singh S, Sun N. Methyl Ketones from Municipal Solid Waste Blends by One-Pot Ionic-Liquid Pretreatment, Saccharification, and Fermentation. ChemSusChem 2019; 12:4313-4322. [PMID: 31278853 DOI: 10.1002/cssc.201901084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 06/14/2019] [Indexed: 06/09/2023]
Abstract
The conversion of municipal solid waste (MSW) and lignocellulosic biomass blends to methyl ketones (MKs) was investigated by using bioderived ionic liquid (bionic liquid)-based hydrolysates followed by fermentation with an engineered Escherichia coli strain. The hydrolysates were produced by a one-pot process using six types of MSW-biomass blends, choline-based bionic liquids, and commercial enzymes. Based on the sugar yields, one blend (corn stover/MSW=95:5, w/w) and two bionic liquids {cholinium lysinate ([Ch][Lys]) and cholinium aspartate ([Ch]2 [Asp])} were selected for scale-up studies. Maximum yields of 82.3 % glucose and 54.4 % xylose were obtained from the selected blend in the scale-up studies (6 L), which was comparable with 83.6 % glucose and 52.8 % xylose obtained at a smaller scale (0.2 L). Comparable or higher yields of medium-chain (C11 -C17 ) MKs were achieved by using the MSW-biomass blend-derived hydrolysates, relative to the sugar controls (glucose and xylose) with similar sugar feeding concentrations. Up to 1145 mg L-1 of MKs was produced by using MSW-biomass-derived hydrolysates, and the MK titer decreased to 300 mg L-1 when the bionic-liquid concentration in the hydrolysate increased from 1 to 2 %, indicative of bionic-liquid inhibition. Technoeconomic analysis was conducted to investigate the economic potential of using the selected MSW-biomass blend as a feedstock to produce MKs.
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Affiliation(s)
- Jipeng Yan
- Advanced Biofuels and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ling Liang
- Advanced Biofuels and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Qian He
- Advanced Biofuels and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Chenlin Li
- Energy, and Environmental Science and Technology, Idaho National Laboratory, Idaho Falls, ID, USA
| | - Feng Xu
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Biological and Materials Sciences Center, Sandia National Laboratories, Livermore, CA, USA
| | - Jian Sun
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Biological and Materials Sciences Center, Sandia National Laboratories, Livermore, CA, USA
| | - Ee-Been Goh
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - N V S N Murthy Konda
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Harry R Beller
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Blake A Simmons
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Todd R Pray
- Advanced Biofuels and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Vicki S Thompson
- Energy, and Environmental Science and Technology, Idaho National Laboratory, Idaho Falls, ID, USA
| | - Seema Singh
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Biological and Materials Sciences Center, Sandia National Laboratories, Livermore, CA, USA
| | - Ning Sun
- Advanced Biofuels and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Narani A, Konda NVSNM, Chen CS, Tachea F, Coffman P, Gardner J, Li C, Ray AE, Hartley DS, Simmons B, Pray TR, Tanjore D. Simultaneous application of predictive model and least cost formulation can substantially benefit biorefineries outside Corn Belt in United States: A case study in Florida. Bioresour Technol 2019; 271:218-227. [PMID: 30273825 DOI: 10.1016/j.biortech.2018.09.103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 09/17/2018] [Accepted: 09/18/2018] [Indexed: 06/08/2023]
Abstract
Previously, a predictive model was developed to identify optimal blends of expensive high-quality and cheaper low-quality feedstocks for a given geographical location that can deliver high sugar yields. In this study, the optimal process conditions were tested for application at commercially-relevant higher biomass loadings. We observed lower sugar yields but 100% conversion to ethanol from a blend that contained only 20% high-quality feedstock. The impact of applying this predictive model simultaneously with least cost formulation model for a biorefinery location outside of the US Corn Belt in Lee County, Florida was investigated. A blend ratio of 0.30 EC, 0.45 SG, and 0.25 CS in Lee County was necessary to produce sugars at high yields and ethanol at a capacity of 50 MMGY. This work demonstrates utility in applying predictive model and LCF to reduce feedstock costs and supply chain risks while optimizing for product yields.
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Affiliation(s)
- Akash Narani
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - N V S N Murthy Konda
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Chyi-Shin Chen
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Firehiwot Tachea
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Phil Coffman
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - James Gardner
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Chenlin Li
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States
| | - Allison E Ray
- Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States
| | - Damon S Hartley
- Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States
| | - Blake Simmons
- Biofuels and Biomaterials Science and Technology, Sandia National Laboratory, Livermore, CA, United States
| | - Todd R Pray
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Deepti Tanjore
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
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Narani A, Coffman P, Gardner J, Li C, Ray AE, Hartley DS, Stettler A, Konda NVSNM, Simmons B, Pray TR, Tanjore D. Predictive modeling to de-risk bio-based manufacturing by adapting to variability in lignocellulosic biomass supply. Bioresour Technol 2017; 243:676-685. [PMID: 28709073 DOI: 10.1016/j.biortech.2017.06.156] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Revised: 06/27/2017] [Accepted: 06/28/2017] [Indexed: 06/07/2023]
Abstract
Commercial-scale bio-refineries are designed to process 2000tons/day of single lignocellulosic biomass. Several geographical areas in the United States generate diverse feedstocks that, when combined, can be substantial for bio-based manufacturing. Blending multiple feedstocks is a strategy being investigated to expand bio-based manufacturing outside Corn Belt. In this study, we developed a model to predict continuous envelopes of biomass blends that are optimal for a given pretreatment condition to achieve a predetermined sugar yield or vice versa. For example, our model predicted more than 60% glucose yield can be achieved by treating an equal part blend of energy cane, corn stover, and switchgrass with alkali pretreatment at 120°C for 14.8h. By using ionic liquid to pretreat an equal part blend of the biomass feedstocks at 160°C for 2.2h, we achieved 87.6% glucose yield. Such a predictive model can potentially overcome dependence on a single feedstock.
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Affiliation(s)
- Akash Narani
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Phil Coffman
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - James Gardner
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Chenlin Li
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Energy and Environmental Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States
| | - Allison E Ray
- Energy and Environmental Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States
| | - Damon S Hartley
- Energy and Environmental Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States
| | - Allison Stettler
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - N V S N Murthy Konda
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Blake Simmons
- Biofuels and Biomaterials Science and Technology, Sandia National Laboratory, Livermore, CA, United States
| | - Todd R Pray
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Deepti Tanjore
- Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
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Sun J, Shi J, Murthy Konda NVSN, Campos D, Liu D, Nemser S, Shamshina J, Dutta T, Berton P, Gurau G, Rogers RD, Simmons BA, Singh S. Efficient dehydration and recovery of ionic liquid after lignocellulosic processing using pervaporation. Biotechnol Biofuels 2017; 10:154. [PMID: 28638441 PMCID: PMC5472906 DOI: 10.1186/s13068-017-0842-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
BACKGROUND Biomass pretreatment using certain ionic liquids (ILs) is very efficient, generally producing a substrate that is amenable to saccharification with fermentable sugar yields approaching theoretical limits. Although promising, several challenges must be addressed before an IL pretreatment technology can become commercially viable. One of the most significant challenges is the affordable and scalable recovery and recycle of the IL itself. Pervaporation (PV) is a highly selective and scalable membrane separation process for quantitatively recovering volatile solutes or solvents directly from non-volatile solvents that could prove more versatile for IL dehydration. RESULTS We evaluated a commercially available PV system for IL dehydration and recycling as part of an integrated IL pretreatment process using 1-ethyl-3-methylimidazolium acetate ([C2C1Im][OAc]) that has been proven to be very effective as a biomass pretreatment solvent. Separation factors as high as 1500 were observed. We demonstrate that >99.9 wt% [C2C1Im][OAc] can be recovered from aqueous solution (≤20 wt% IL) and recycled five times. A preliminary technoeconomic analysis validated the promising role of PV in improving overall biorefinery process economics, especially in the case where other IL recovery technologies might lead to significant losses. CONCLUSIONS These findings establish the foundation for further development of PV as an effective method of recovering and recycling ILs using a commercially viable process technology.
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Affiliation(s)
- Jian Sun
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological and Engineering Sciences Center, Sandia National Laboratories, Livermore, CA 94551 USA
| | - Jian Shi
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological and Engineering Sciences Center, Sandia National Laboratories, Livermore, CA 94551 USA
- Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546 USA
| | - N. V. S. N. Murthy Konda
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Dan Campos
- Compact Membrane Systems Inc, Newport, DE 19804 USA
| | - Dajiang Liu
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological and Engineering Sciences Center, Sandia National Laboratories, Livermore, CA 94551 USA
| | | | - Julia Shamshina
- Department of Chemistry, The University of Alabama, Tuscaloosa, AL 35487 USA
- Department of Chemistry, McGill University, 801 Sherbrooke St. West, Montreal, QC H3A 0B8 Canada
- 525 Solutions, Inc., Tuscaloosa, AL 35401 USA
| | - Tanmoy Dutta
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological and Engineering Sciences Center, Sandia National Laboratories, Livermore, CA 94551 USA
| | - Paula Berton
- Department of Chemistry, The University of Alabama, Tuscaloosa, AL 35487 USA
- Department of Chemistry, McGill University, 801 Sherbrooke St. West, Montreal, QC H3A 0B8 Canada
| | - Gabriela Gurau
- Department of Chemistry, The University of Alabama, Tuscaloosa, AL 35487 USA
- 525 Solutions, Inc., Tuscaloosa, AL 35401 USA
| | - Robin D. Rogers
- Department of Chemistry, The University of Alabama, Tuscaloosa, AL 35487 USA
- Department of Chemistry, McGill University, 801 Sherbrooke St. West, Montreal, QC H3A 0B8 Canada
| | - Blake A. Simmons
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Seema Singh
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Biological and Engineering Sciences Center, Sandia National Laboratories, Livermore, CA 94551 USA
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Parthasarathi R, Sun J, Dutta T, Sun N, Pattathil S, Murthy Konda NVSN, Peralta AG, Simmons BA, Singh S. Activation of lignocellulosic biomass for higher sugar yields using aqueous ionic liquid at low severity process conditions. Biotechnol Biofuels 2016; 9:160. [PMID: 27486479 PMCID: PMC4969646 DOI: 10.1186/s13068-016-0561-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 07/12/2016] [Indexed: 05/02/2023]
Abstract
BACKGROUND Concerns around greenhouse gas emissions necessitate the development of sustainable processes for the production of chemicals, materials, and fuels from alternative renewable sources. The lignocellulosic plant cell walls are one of the most abundant sources of carbon for renewable bioenergy production. Certain ionic liquids (ILs) are very effective at disrupting the plant cell walls of lignocellulose, and generate a substrate that is effectively hydrolyzed into fermentable sugars. Conventional ILs are relatively expensive in terms of purchase price, and the most effective imidazolium-based ILs also require energy intensive processing conditions (>140 °C, 3 h) to release >90 % fermentable sugar yields after saccharification. RESULTS We have developed a highly effective pretreatment technology utilizing the relatively inexpensive IL comprised tetrabutylammonium [TBA](+) and hydroxide [OH](-) ions that generate high glucose yields (~95 %) after pretreatment at very mild processing conditions (50 °C). The efficiency of [TBA][OH] pretreatment of lignocellulose was further studied by analyzing chemical composition, powder X-ray diffraction for cellulose structure, NMR and SEC for lignin dissolution/depolymerization, and glycome profiling for cell wall modifications. Glycome profiling experiments and computational results indicate that removal of the noncellulosic polysaccharides occurs due to the ionic mobility of [TBA][OH] and is the key factor in determining pretreatment efficiency. Process modeling and energy demand analysis suggests that this [TBA][OH] pretreatment could potentially reduce the energy required in the pretreatment unit operation by more than 75 %. CONCLUSIONS By leveraging the benefits of ILs that are effective at very mild processing conditions, such as [TBA][OH], lignocellulosic biomass can be pretreated at similar efficiency as top performing conventional ILs, such as 1-ethyl-3-methylimidazolium acetate [C2C1Im][OAc], but at much lower temperatures, and with less than half the IL normally required to be effective. [TBA][OH] IL is more reactive in terms of ionic mobility which extends removal of lignin and noncellulosic components of biomass at the lower temperature pretreatment. This approach to biomass pretreatment at lower temperatures could be transformative in the affordability and energy efficiency of lignocellulosic biorefineries.
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Affiliation(s)
- Ramakrishnan Parthasarathi
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Sandia National Laboratories, Biological and Engineering Sciences Center, Livermore, CA USA
| | - Jian Sun
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Sandia National Laboratories, Biological and Engineering Sciences Center, Livermore, CA USA
| | - Tanmoy Dutta
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Sandia National Laboratories, Biological and Engineering Sciences Center, Livermore, CA USA
| | - Ning Sun
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
| | - Sivakumar Pattathil
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602 USA
- Oak Ridge National Laboratory, The BioEnergy Science Center, Oak Ridge, TN 37831 USA
| | | | - Angelo Gabriel Peralta
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602 USA
- Oak Ridge National Laboratory, The BioEnergy Science Center, Oak Ridge, TN 37831 USA
| | - Blake A. Simmons
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Sandia National Laboratories, Biological and Engineering Sciences Center, Livermore, CA USA
| | - Seema Singh
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, CA 94608 USA
- Sandia National Laboratories, Biological and Engineering Sciences Center, Livermore, CA USA
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Vasudevan S, Rangaiah GP, Konda NVSNM, Tay WH. Application and Evaluation of Three Methodologies for Plantwide Control of the Styrene Monomer Plant. Ind Eng Chem Res 2009. [DOI: 10.1021/ie900022h] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Suraj Vasudevan
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
| | - G. P. Rangaiah
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
| | - N. V. S. N. Murthy Konda
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
| | - Wee Hwa Tay
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
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Vasudevan S, Konda NVSNM, Rangaiah GP. Control degrees of freedom using the restraining number: further evaluation. ASIA-PAC J CHEM ENG 2008. [DOI: 10.1002/apj.117] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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Murthy Konda NVSN, Rangaiah GP, Lim DKH. Optimal Process Design and Effective Plantwide Control of Industrial Processes by a Simulation-Based Heuristic Approach. Ind Eng Chem Res 2006. [DOI: 10.1021/ie060534u] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- N. V. S. N. Murthy Konda
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
| | - G. P. Rangaiah
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
| | - Dennis K. H. Lim
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
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Murthy Konda NVSN, Rangaiah GP, Krishnaswamy PR. Plantwide Control of Industrial Processes: An Integrated Framework of Simulation and Heuristics. Ind Eng Chem Res 2005. [DOI: 10.1021/ie048951z] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- N. V. S. N. Murthy Konda
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 10, Kent Ridge Crescent, Singapore 119260
| | - G. P. Rangaiah
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 10, Kent Ridge Crescent, Singapore 119260
| | - P. R. Krishnaswamy
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 10, Kent Ridge Crescent, Singapore 119260
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