Publications

2023

Kim S, Dale BE, Basso B, Thelen K, Maravelias CT. Supply Chain System for a Centralized Biorefinery System Based on Switchgrass Grown on Marginal Land in Michigan. Biofuels, Bioproducts and Biorefining, accepted, 2023.
(DOI: https://doi.org/10.1002/bbb.2526).
Chen Y, Maravelias CT, Zhang X. Tightening Discretization-based MILP Models for the Pooling Problem Using Upper Bounds on Bilinear Terms. Optimization Letters, accepted, 2023.
(DOI: https://doi.org/10.1007/s11590-023-01985-y).
Taifan GSP, Maravelias CT. Optimization-Based Azeotropic Distillation System Synthesis Using Geometric Insights. Industrial & Engineering Chemistry Research, 62(31), 12220-12234, 2023.
(DOI: https://doi.org/10.1021/acs.iecr.3c01269).
Yu L, Liang L, Bajaj I, Seabright K, Keffer DJ, Ivanov IN, Chen H, Dai S, Ragauskas AJ, Maravelias CT, Harper DP. Tailored Mesoporous Structures of Lignin-Derived Nano-Carbons for Multiple Applications, Carbon, 118285, 2023.
(DOI: https://doi.org/10.1016/j.carbon.2023.118285).
Im S, Jung B, Wang X, Wu J, Xiao M, Chen X, Quezada Renteria JA, Iddya A, Dlamini D, Lu S, Maravelias CT, Ren ZJ, Hoek EMV, Jassby D. High-Efficiency Recovery of Acetic Acid from Water Using Electroactive Gas-Stripping Membranes. Environmental Science & Technology, 57, 27, 10096-10106, 2023.
(DOI: https://doi.org/10.1021/acs.est.3c01357).
Pastore de Lima AE, Wrobel RL, Paul B, Anthony LC, Sato TK, Zhang Y, Hittinger CT, Maravelias CT. High Yield Co-production of Isobutanol and Ethanol from Switchgrass: Experiments, and Process Synthesis and Analysis. Sustainable Energy & Fuels, 7, 3266-3275, 2023.
(DOI: https://doi.org/10.1039/D2SE01741E).
Adelgren N, Maravelias CT. On the Utility of Production Scheduling Formulations Including Record Keeping Variables. Computers & Industrial Engineering, 181, 109330, 2023.
(DOI: https://doi.org/10.1016/j.cie.2023.109330).
Wang X, Im S, Jung B, Wu J, Iddya A, Javier QA, Xiao M, Ma S, Lu S, Jaewon B, Zhang J, Ren ZJ, Maravelias CT, Hoek EMV, Jassby D. Simple and Low-Cost Electroactive Membranes for Ammonia Recovery, Environmental Science & Technology, 57(25), 9405-9415, 2023.
(DOI: https://doi.org/10.1021/acs.est.3c01470).
Tountas AA, Peng X, Xu Y, Song R, Wang L, Maravelias CT, Ozin GA, Sain MM. Direct CO₂-to-renewable Methanol: Outlook, Performance and Optimization Approach. Sustainable Materials and Technologies, e00630, 2023.
(DOI: https://doi.org/10.1016/j.susmat.2023.e00630).
Bhandari S, Rangarajan S, Li S, Scaranto J, Singh S, Maravelias CT, Dumesic JA, Mavrikakis M. A Coverage Self-Consistent Microkinetic Model for Vapor-phase Formic Acid Decomposition over Pd/C Catalysts. ACS Catalysis, 13(6), 3655-3667, 2023.
(DOI: https://doi.org/10.1021/acscatal.2c06078).
Kim S, Dale EB, Martinez-Feria R, Basso B, Thelen K, Maravelias CT, Landis DA, Lark T, Robertson GP. Global Warming Intensity of Biofuel Derived from Switchgrass Grown on Marginal Land in Michigan. GCB Bioenergy, 15(3), 319-331, 2023.
(DOI: https://doi.org/10.1111/gcbb.13024).
Restrepo-Florez JM, Cuello-Penaloza P, Canales E, Witkowski D, Rothamer DA, Huber GW, Maravelias CT. Ethanol to Diesel: A Sustainable Alternative for the Heavy-Duty Transportation Sector. Sustainable Energy & Fuels, 7, 693-707, 2023.
(DOI: https://doi.org/10.1039/D2SE01377K).
Taifan G, Maravelias CT. Integrated Membrane Material Design and System Synthesis. Chemical Engineering Science, 269, 118406, 2023.
(DOI: https://doi.org/10.1016/j.ces.2022.118406).

2022

Kim B, Maravelias CT. Supervised Machine Learning for Understanding and Improving Computational Performance of Chemical Production Scheduling MIP Models. Industrial & Engineering Chemistry Research, 61(46), 17124-17136, 2022.
(DOI: https://doi.org/10.1021/acs.iecr.2c02734).
Avadiappan V, Gupta D, Maravelias CT. Production Scheduling Under Uncertainty in the Presence of Feedback: Model Comparisons, Insights, and Paradoxes. Computers & Chemical Engineering, 168, 108028, 2022.
(DOI: https://doi.org/10.1016/j.compchemeng.2022.108028).
Restrepo-Florez JM, Ryu J, Witkowski D, Rothamer D, Maravelias CT. A Systems Level Analysis of Ethanol Upgrading Strategies to Middle Distillates. Energy & Environmental Science, 15, 4376-4388, 2022.
(DOI: https://doi.org/10.1039/D2EE02202H).
Chen Y, Maravelias CT. Variable Bound Tightening and Valid Constraints for Multiperiod Blending. INFORMS Journal on Computing, 34(4), 2073-2090, 2022.
(DOI: https://doi.org/10.1287/ijoc.2021.1140).
Bachman E, Tavasoli A, Hatton TA, Maravelias CT, Haites E, Styring P, Aspuru-Guzik, A, MacIntosh J, Ozin G. Rail-based Direct Air Carbon Capture, Joule, 6(7), 1368-1389, 2022.
(DOI: https://doi.org/10.1016/j.joule.2022.06.025).
Chen Y, Maravelias CT. Tightening Methods Based on Nontrivial Bounds on Bilinear Terms. Optimization and Engineering, 23, 1217-1254, 2022.
(DOI: https://doi.org/10.1007/s11081-021-09646-8).
Misra S, Buttazoni LR, Avadiappan V, Lee H, Yang M, Maravelias CT. CPros: A Web-Based Application for Chemical Production Scheduling, Computers and Chemical Engineering, 164, 107895, 2022.
(DOI: https://doi.org/10.1016/j.compchemeng.2022.107895).
Li J, Maravelias CT, Van Lehn RC. Adaptive Conformer Sampling for Property Prediction with Conductor-Life Screening Model for Real Solvents. Industrial & Engineering Chemistry Research, 61(25), 9025-9036, 2022.
(DOI: https://doi.org/10.1021/acs.iecr.2c01163).
Geissler CH, Maravelias CT. Analysis of Alternative Bioenergy with Carbon Capture Strategies: Present and Future. Energy & Environmental Science, 15, 2679-2689, 2022.
(DOI: https://doi.org/10.1039/D2EE00625A).
Ryu J, Maravelias CT. On the Derivation of Graphically-inspired Feasibility Constraints for Distillation Network Synthesis. AIChE J., 68(7), e17740, 2022.
(DOI: https://doi.org/10.1002/aic.17740).
Misra S, Maravelias CT. Overview of Scheduling Methods for Pharmaceutical Production. Optimization of Pharmaceutical Processes (Editors: Fytopoulos, A, Ramachandran, R, Pardalos, P), 355-371, Springer, 2022. (ISBN: 978-3-030-90923-9).
(DOI: https://doi.org/10.1007/978-3-030-90924-6_13).
Perez JM, Umana GE, Sener C, Misra S, Coplien J, Haak D, Li Y, Maravelias CT, Karlen SD, Ralph J, Donohue TJ, Noguera DR. Integrating Lignin Depolymerization with Microbial Funneling Processes Using Agronomically Relevant Feedstocks. Green Chemistry, 24, 2795-2811, 2022.
(DOI: https://doi.org/10.1039/D1GC03592D).
Neiro SM, Madan T, Pinto JM, Maravelias CT. Integrated Production and Distribution Planning for Industrial Gases Supply Chains. Computers & Chemical Engineering, 161, 107778, 2022.
(DOI: https://doi.org/10.1016/j.compchemeng.2022.107778).
Yu L, Seabright K, Bajaj I, Keffer D, Alonso DM, Hsieh C, Li M, Chen H, Dai S, Gandomi YA, Maravelias CT, Harper DP. Performance and Economic Analysis of Organosolv Softwood and Herbaceous Lignins to Activated Carbons as Electrode Materials in Supercapacitors. Frontiers in Energy Research, 10, 849949, 2022.
(DOI: https://doi.org/10.3389/fenrg.2022.849949).
Pastore de Lima AE, Maravelias CT. A Generalized Framework for Reactor Network Synthesis: A Graph Theoretic Approach. Computers & Chemical Engineering, 160, 107722, 2022.
(DOI: https://doi.org/10.1016/j.compchemeng.2022.107722).
Taifan G, Maravelias CT. Generalized Optimization-based Synthesis of Membrane Systems for Multicomponent Gas Mixture Separation. Chemical Engineering Science, 252, 117482, 2022.
(DOI: https://doi.org/10.1016/j.ces.2022.117482).
O'Neill EG, Martinez-Feria R, Basso B, Maravelias CT. Integrated Spatially Explicit Landscape and Cellulosic Biofuel Supply Chain Optimization Under Biomass Yield Uncertainty. Computers & Chemical Engineering, 160, 107724, 2022.
(DOI: https://doi.org/10.1016/j.compchemeng.2022.107724).
McAllister R, Rawlings J, Maravelias CT. The Inherent Robustness of Closed-Loop Scheduling. Computers & Chemical Engineering, 159, 107678, 2022.
(https://doi.org/10.1016/j.compchemeng.2022.107678).
Liu X, Shen Z, Peng X, Tian L, Hao R, Wang L, Xu Y, Liu Y, Maravelias CT, Li W, Ozin G. A Photo-assisted Electrochemical-based Demonstrator for Green Ammonia Synthesis. Journal of Energy Chemistry, 68, 826-834, 2022.
(DOI: https://doi.org/10.1016/j.jechem.2021.12.021).

2021

Huang K, Peng X, Kong L, Wu W, Chen Y, Maravelias CT. Greenhouse Gas Emission Mitigation Potential of Chemicals Produced from Biomass. ACS Sustainable Chemistry & Engineering, 9(43), 14480-14487, 2021.
(DOI: https://doi.org/10.1021/acssuschemeng.1c04836).
Peng X, Bajaj I, Yao M, Maravelias CT. Solid-gas Thermochemical Energy Storage Strategies for Concentrating Solar Power: Optimization and System Analysis. Energy Conversion and Management, 245, 114636, 2021.
(DOI: https://doi.org/10.1016/j.enconman.2021.114636).
Geissler CH, Maravelias CT. Economic, Energetic, and Environmental Analysis of Lignocellulosic Biorefineries with Carbon Capture. Applied Energy, 302, 117539, 2021.
(DOI: https://doi.org/10.1016/j.apenergy.2021.117539).
Wu Y, Maravelias CT. A General Framework and Optimization Models for the Scheduling of Continuous Chemical Processes. AIChE J., 67 (10), e17344, 2021.
(DOI: https://doi.org/10.1002/aic.17344).
Ryu J, Maravelias CT. A Generalized Distillation Network Synthesis Model. Chemical Engineering Science, 244, 116766, 2021.
(DOI: https://doi.org/10.1016/j.ces.2021.116766).
Dong Y, Maravelias CT. Terminal Inventory Level Constraints for Online Production Scheduling. European Journal of Operational Research, 295(1), 102-117, 2021.
(DOI: https://doi.org/10.1016/j.ejor.2021.02.029).
Chang H, Bajaj I, Motagamwala AH, Somasundaram A, Huber GA, Maravelias CT, Dumesic JA. Sustainable Production of 5-hydroxymethylfurfural from Glucose for Process Integration with High Fructose Corn Syrup Infrastructure. Green Chemistry, 23, 3277-3288, 2021.
(DOI: https://doi.org/10.1039/D1GC00311A).
Adjiman C, Sahinidis N, Vlachos D, Bakshi B, Maravelias CT, Georgakis GC. A Process Systems Engineering Perspective on Systematic Design of Materials and Molecules. Industrial & Engineering Chemistry Research, 6, 5194-5206, 2021.
(DOI: https://doi.org/10.1021/acs.iecr.0c05399).
Restrepo-Florez JM, Maravelias CT. Advanced Fuels from Ethanol - A Superstructure Based Optimization Approach. Energy & Environmental Science, 14, 493-506, 2021.
(DOI: https://doi.org/10.1039/D0EE02447C).
Avadiappan V, Maravelias CT. State Estimation in Online Batch Production Scheduling: Concepts, Definitions, Algorithms and Optimization Models. Computers & Chemical Engineering, 146, 107209, 2021.
(DOI: https://doi.org/10.1016/j.compchemeng.2020.107209).
O'Neill EG, Maravelias CT. Towards Integrated Landscape Design and Biofuel Supply Chain Optimization; Review and Opportunities. Current Opinion in Chemical Engineering, 31, 100666, 2021.
(DOI: https://doi.org/10.1016/j.coche.2020.100666).
Wu Y, Maravelias CT, Wenzel MJ, ElBsat MN, Turney RT. Predictive Maintenance Scheduling Optimization of Building Heating, Ventilation, and Air Conditioning Systems. Energy and Buildings, 231, 110487, 2021.
(DOI: https://doi.org/10.1016/j.enbuild.2020.110487).

2020

Taifan G, Maravelias CT. Integration of Graphical Approaches into Optimization-based Design of Multistage Liquid Extraction. Computers & Chemical Engineering, 143, 107126, 2020.
(DOI: https://doi.org/10.1016/j.compchemeng.2020.107126).
Ryu J, Maravelias CT. Computationally Efficient Optimization Models for Preliminary Distillation Column Design and Separation Energy Targeting. Computers & Chemical Engineering, 143, 107072, 2020.
(DOI: https://doi.org/10.1016/j.compchemeng.2020.107072).
Ryu J, Maravelias CT. Efficient Generalized Shortcut Distillation Model with Improved Accuracy for Superstructure-based Process Synthesis. AIChE J., 66 (11), e16994, 2020.
(DOI: https://doi.org/10.1002/aic.16994).
Kim S, Zhang X, Reddy A, Dale B, Thelen K, Jones C, Izaurralde R, Runge TM, Maravelias CT. Carbon-Negative Biofuel Production. Environmental Science & Technology, 54, 17, 10797-10807, 2020.
(DOI: https://doi.org/10.1021/acs.est.0c01097).
Chang H, Bajaj I, Huber GW, Maravelias CT, Dumesic JA. Catalytic Strategy for Conversion of Fructose to Organic Dyes, Polymers, and Liquid Fuels. Green Chemistry, 20, 5285-5295, 2020.
(DOI: https://doi.org/10.1039/D0GC01576H).
Kong L, Maravelias CT. On the Derivation of Continuous Piecewise Linear Approximating Functions. INFORMS Journal on Computing, 32 (3), 531-546, 2020.
(DOI: https://doi.org/10.1287/ijoc.2019.0949).
Chen Y, Maravelias CT. Preprocessing Algorithm and Tightening Constraints for Multiperiod Blend Scheduling: Cost Minimization. Journal of Global Optimization, 77, 603-625, 2020.
(DOI: https://doi.org/10.1007/s10898-020-00882-3).
Risbeck MJ, Maravelias CT, Rawlings JB, Turney RD. Mixed-integer Optimization Methods for Online Scheduling in Large-scale HVAC Systems. Optimization Letters, 14, 889-924, 2020.
(DOI: https://doi.org/10.1007/s11590-018-01383-9).
Lee H, Maravelias CT. Combining the Advantages of Discrete- and Continuous-time Scheduling Models. Part 3: General Algorithm. Computers & Chemical Engineering, 139, 106848, 2020.
(DOI: https://doi.org/10.1016/j.compchemeng.2020.106848).
Karlen SD, Fasahati P, Mazaheri M, Serate J, Smith RA, Sirobhushanam S, Chen M, Tymokhin VI, Cass CL, Liu S, Padmakshan D, Xie D, Zhang Y, McGee MA, Russell JD, Coon JJ, Kaeppler HF, De Leon N, Maravelias CT, Runge TM, Kaeppler SM, Sedbrook JC, Ralph J. Assessing the Viability of Recovering Hydroxycinnamic Acids from Lignocellulosic Biorefinery Alkaline Pretreatment Waste Streams. ChemSusChem, 13(8), 2012-2024, 2020.
(DOI: https://doi.org/10.1002/cssc.201903345).
Lee H, Gupta D, Maravelias CT. Systematic Generation of Alternative Production Schedules. AIChE J., 66(5), e16926, 2020.
(DOI: https://doi.org/10.1002/aic.16926).
Bhandari S, Rangarajan S, Maravelias CT, Dumesic JA, Mavrikakis M. Reaction Mechanism of Vapor-phase Formic Acid Decomposition over Platinum Catalysts: DFT, Reaction Kinetics Experiments, and Microkinetic Modeling. ACS Catalysis, 10, 4112-4126, 2020.
(DOI: https://doi.org/10.1021/acscatal.9b05424).
Lindsay MJ, Huang K, Buchinger BA, Maravelias CT, Dumesic JA, Rankin SA, Huber GW. Catalytic Production of Glucose-Galactose Syrup from Greek Yogurt Acid Whey in a Continuous Flow Reactor. ChemSusChem, 13, 791-802, 2020.
(DOI: https://doi.org/10.1002/cssc.201902847).
Peng X, Yao M, Root TW, Maravelias CT. Design and Analysis of Concentrated Solar Power Plants with Fixed-bed Reactors for Thermochemical Energy Storage. Applied Energy, 262, 114543, 2020.
(DOI: https://doi.org/10.1016/j.apenergy.2020.114543).
Gupta D, Maravelias CT. Framework for Studying Online Production Scheduling under Endogenous Uncertainty. Computers & Chemical Engineering, 135, 106670, 2020.
(DOI: https://doi.org/10.1016/j.compchemeng.2019.106670).
McAllister RD, Rawlings JB, Maravelias CT. Rescheduling Penalties for Economic Model Predictive Control and Closed-Loop Scheduling. Industrial & Engineering Chemistry Research, 59, 6, 2214-2228, 2020.
(DOI: https://doi.org/10.1021/acs.iecr.9b05255).
Wu Y, Maravelias CT. A General Model for Periodic Chemical Production Scheduling. Industrial & Engineering Chemistry Research, 59, 6, 2505-2515, 2020.
(DOI: https://doi.org/10.1021/acs.iecr.9b04381).
Kong L, Maravelias CT. Generalized Short-Cut Distillation Column Modeling for Superstructure-based Process Synthesis. AIChE J., 66 (2), e16809, 2020.
(DOI: https://doi.org/10.1002/aic.16809).
Huang K, Fasahati P, Maravelias CT. System-level Analysis of Lignin Valorization in Lignocellulosic Biorefineries. iScience, 23, 1, 100751, 2020.
(DOI: https://doi.org/10.1016/j.isci.2019.100751).
Huang K, Maravelias CT. Synthesis and Analysis of Nonoxidative Methane Aromatization Strategies. Energy Technology, 1900650, 2020.
(DOI: https://doi.org/10.1002/ente.201900650).
Kong L, Maravelias CT. Expanding the Scope of Distillation Network Synthesis Using Superstructure-based Methods. Computers & Chemical Engineering, 133, 106650, 2020.
(DOI: https://doi.org/10.1016/j.compchemeng.2019.106650).
Ryu J, Kong L, Pastore de Lima AE, Maravelias CT. A Generalized Superstructure-based Framework for Process Synthesis. Computers & Chemical Engineering, 133, 106653, 2020.
(DOI: https://doi.org/10.1016/j.compchemeng.2019.106653).

2019

Wu W, Yenkie KM, Maravelias CT. Synthesis and Analysis of Separation Processes for Extracellular Chemicals Generated from Microbial Conversions. BMC Chemical Engineering, 1, 21, 2019.
(DOI:https://doi.org/10.1186/s42480-019-0022-8).
Kong L, Maravelias CT. From Graphical to Model-based Distillation Column Design: A McCabe-Thiele-inspired Mathematical Programming Approach. AIChE, 65 (11), e16731, 2019.
(DOI: https://doi.org/10.1002/AIC.16731).
Risbeck MJ, Maravelias CT, Rawlings JB. Unification of Closed-loop Scheduling and Control: State-space Formulations, Terminal Constraints, and Theoretical Properties. Computers & Chemical Engineering, 129, 106496, 2019.
(DOI: https://doi.org/10.1016/j.compchemeng.2019.06.021).
Gupta D, Maravelias CT. On the Design of Online Production Scheduling Algorithms. Computers & Chemical Engineering, 129, 106517, 2019.
(DOI: https://doi.org/10.1016/j.compchemeng.2019.106517).
Fasahati P, Wu W, Maravelias CT. Process Synthesis and Economic Analysis of Cyanobacteria Biorefineries: A Superstructure-based Approach. Applied Energy, 253, 113625, 2019.
(DOI: https://doi.org/10.1016/j.apenenergy.2019.113625).
Motagamwala AH, Huang K, Maravelias CT, Dumesic JA. Solvent System for Effective Near-term Production of Hydroxymethylfurfural(HMF) with Potential for Long-term Process Improvement. Energy & Environmental Science, 2212-2222, 12, 2019.
(DOI: https://doi.org/10.1039/C9EE00447E).
Lee H, Maravelias CT. Combining the Advantages of Discrete- and Continuous-time Scheduling Models. Part 2: Systematic Methods for Determining Model Parameters. Computers & Chemical Engineering, 128, 557-573, 2019.
(DOI: https://doi.org/10.1016/j.compchemeng.2018.10.020).
Rawlings BC, Avadiappan V, Lafortune S, Maravelias CT, Wassick JM. Incorporating Automation Logic in Online Chemical Production Scheduling. Computers & Chemical Engineering, 128, 201-215, 2019.
(DOI: https://doi.org/10.1016/j.compchemeng.2019.06.015).
Peng X, Root TW, Maravelias CT. Optimization-based Process Synthesis under Seasonal and Daily Variability: Application on Concentrating Solar Power Plants. AIChE Journal, 65 (7), e16458, 2019.
(DOI: https://doi.org/10.1002/aic.16458).
Rawlings JB, Maravelias CT. Bringing New Technologies and Approaches to the Operation and Control of Chemical Process Systems. AIChE J., 65 (6), e16615, 2019.
(DOI: https://doi.org/10.1002/aic.16615).
Wu W, Maravelias CT. Identifying the Characteristics of Promising Renewable Replacement Chemicals. iScience, 15, 136-146, 2019.
(DOI: https://doi.org/10.1016/j.isci.2019.04.012).
Tountas AA, Peng X, Tavasoli AV, Duchesne PN, Dingle TL, Dong Y, Hurtado L, Mohan A, Sun W, Ulmer U, Wang L, Wood TE, Maravelias CT, Sain MM, Ozin GA. Towards Solar Methanol: Past, Present and Future. Advanced Science, 6, 1801903, 2019.
(DOI: https://doi.org/10.1002/advs.201801903).
Ryu J, Maravelias CT. Simultaneous Process and Heat Exchanger Network Synthesis Using a Discrete Temperature Grid. Industrial & Engineering Chemistry Research, 58, 6002-6016, 2019.
(DOI: https://doi.org/10.1021/acs.iecr.8b04083).
Ng RTL, Fasahati P, Huang K, Maravelias CT. Utilizing Stillage in the Biorefinery: Economic, Technological, and Energetic Analysis. Applied Energy, 241, 491-503, 2019.
(DOI: https://doi.org/10.1016/j.apenergy.2019.03.020).

2018

Maravelias CT. Chemical Production Scheduling. Reference Module in Chemistry, Molecular Sciences, and Chemical Engineering, 2018.
(DOI: http://dx.doi.org/10.1016/B978-0-12-409547-2.14341-0).
Dong Y, Jerome N, Maravelias CT. Reoptimization Framework and Policy Analysis for Maritime Inventory Routing under Uncertainty. Optimization and Engineering, 937-976, 19, 2018.
(DOI: http://dx.doi.org/10.1007/s11081-018-9383-8).
Wu W, Maravelias CT. Synthesis and Techno-economic Assessment of Microbial-based Processes for Terpenes Production. Biotechnology for Biofuels, 11:294, 2018.
(DOI: http://dx.doi.org/10.1186/s13068-018-1285-7).
Lee H, Maravelias CT. Combining the Advantages of Discrete- and Continuous-Time Scheduling Models: Part 1: Framework and Mathematical Formulations. Computers & Chemical Engineering, 176-190, 116, 2018.
(DOI:http://dx.doi.org/10.1016/j.compchemeng.2017.12.003).
Fasahati P, Maravelias CT. Advanced Biofuels of the Future: Atom-economical or energy-economical? Joule, 1915-1919, 2, 2018
(DOI: https://doi.org/10.1016/j.joule.2018.09.007).
Wu W, Long MR, Zhang X, Reed JL, Maravelias CT. A Framework for the Identification of Promising Bio-based Chemicals. Biotechnology and Bioengineering, 2328-2340, 115, 2018
(DOI:https://doi.org/10.1002/bit.26779).
Ramapriya GM, Won W, Maravelias CT. A Superstructure-based Approach to Process Synthesis for Complex Reactor Networks. Chemical Engineering Research and Design, 589-608, 137, 2018.
(DOI:https://doi.org/10.1016/j.cherd.2018.07.015).
Wang L, Xia M, Wang H, Huang K, Qian C, Maravelias CT, Ozin GA. Greening Ammonia: Toward the Solar Ammonia Refinery. Joule, 2, 1055-1074, 2018.
(DOI: https://doi.org/10.1016/j.joule.2018.04.017).
Rawlings JB, Patel NR, Risbeck MJ, Maravelias CT, Wenzel MJ, Turney RD. Economic MPC and Real-time Decision Making with Application to Large-Scale HVAC Energy Systems. Computers & Chemical Engineering, 114, 89-98, 2018.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2017.10.038).
Kong L, Maravelias CT. An Optimization-based Approach for Simultaneous Chemical Process and Heat Exchanges Network Synthesis. Industrial & Engineering Chemistry Research, 57, 6330-6343, 2018.
(DOI:http://dx.doi.org/10.1021/acs.iecr.8b00065).
Krishna SH, Huang K, Barnett KJ, De Bruyn M, He J, Weckhuysen BM, Maravelias CT, Dumesic JA, Huber GW. Oxygenated Commodity Chemicals from Chemo-catalytic Conversion of Biomass Derived Heterocycles. AIChE J., 64: 1910-1922, 2018.
(DOI: http://dx.doi.org/10.1002/aic.16172).
Ng RTL, Patchin S, Wu W, Sheth N, Maravelias CT. An optimization-based Web Application for Synthesis and Analysis of Biomass-to-fuels Strategies. Biofuels, Bioproducts & Biorefining, 12 (2), 170-176, 2018.
(DOI: https://doi.org/10.1002/bbb.1821).
Martagan T, Krishnamurthy A, Leland P, Maravelias CT. Performance Guarantees and Optimal Purification Decisions for Engineered Proteins. Operations Research, 6 (1), 18-41, 2018.
(DOI: http://dx.doi.org/10.1287/opre.2017.1661).
Huang K, Miller JB, Huber GW, Dumesic JA, Maravelias CT. A General Framework for the Evaluation of Direct Nonoxidative Methane Conversion Strategies. Joule, 2, 349-365, 2018.
(DOI: http://dx.doi.org/10.1016/j.joule.2018.01.001).
Ng RTL, Kurniawan D, Wang H, Mariska B, Wu W, Maravelias CT. Integrated Framework for Designing Spatially Explicit Biofuel Supply Chains. Applied Energy, 116-131, 216, 2018.
(DOI: http://dx.doi.org/10.1016/j.apenergy.2018.02.077).
Huang K, Won W, Barnett KJ, Brentzel ZJ, Alonso DM, Huber GW, Dumesic JA, Maravelias CT. Improving Economics of Lignocellulosic Biofuels: An Integrated Strategy for Coproducing 1,5-Pentanediol and Ethanol. Applied Energy, 213, 585-594, 2018.
(DOI: http://dx.doi.org/10.1016/j.apenergy.2017.11.002).
Motagamwala AH, Won W, Sener C, Martin Alonso D, Maravelias CT, Dumesic JA. Towards Biomass-Derived Renewable Plastics: Production of 2,5-Furandicarboxylic Acid from Fructose. Science Advances, 4 (1), eaap9722, 2018.
(DOI: http://dx.doi.org/10.1126/sciadv.aap9722).

2017

Gupta D, Maravelias CT. A General State-Space Formulation for Online Scheduling. Processes, 5(4), 69, 2017.
(DOI: http://dx.doi.org/doi:10.3390/pr5040069)
Rangarajan S, Maravelias CT, Mavrikakis M. Sequential Optimization-Based Framework for Robust Modeling and Design of Heterogeneous Catalytic Systems. Journal of Physical Chemistry C, 121, 25847-25863, 2017.
(DOI: http://dx.doi.org/10.1021/acs.jpcc.7b08089)
Kong L, Wu Y, Maravelias CT. Simultaneous Utility and Heat Exchanger Area Targeting for Integrated Process Synthesis and Heat Integration. Industrial & Engineering Chemistry Research, 56, 11847-11859, 2017.
(DOI: http://dx.doi.org/10.1021/acs.iecr.7b01689)
Lee H-J, Maravelias CT. Discrete-time Mixed-integer Programming Models for Short-term Scheduling in Multipurpose Environments. Computers & Chemical Engineering, 107, 171-183, 2017.
(DOI: https://doi.org/10.1016/j.compchemeng.2017.06.013)
Ng RTL, Maravelias CT. Economic and Energetic Analysis of Biofuel Supply Chains. Applied Energy, 205, 1571-1582, 2017.
(DOI: https://doi.org/10.1016/j.apenergy.2017.08.161)
He J, Huang K, Barnett KJ, Krishna S, Martin Alonso D, Brentzal Z, Burt SP, Walker TW, Banholzer W, Maravelias CT, Hermans I, Dumesic JA, Huber GW. New Catalytic Strategies for alpha-omega Diol Production from Lignocellulosic Biomass. Faraday Discussions, 202, 247-267, 2017.
(DOI: http://dx.doi.org/10.1039/C7FD00036G)
Lee H-J, Maravelias CT. Mixed-integer Programming Models for Simultaneous Batching and Scheduling in Multi-purpose Batch Plants. Computers & Chemical Engineering, 106, 621-644, 2017.
(DOI: https://doi.org/10.1016/j.compchemeng.2017.07.007)
He J, Liu M, Huang K, Walker TW, Maravelias CT, Dumesic JA, Huber GW. Production of Levoglucosenone and 5-hydroxymethylfurfural from Cellulose in Polar Aprotic Solvent-water Mixtures. Green Chemistry, 19, 3642-3653, 2017.
(DOI: http://dx.doi.org/10.1039/C7GC01688C)
Won W, Maravelias CT. Thermal Fractionation and Catalytic Upgrading of Lignocellulosic Biomass to Biofuels: Process Synthesis and Analysis. Renewable Energy, 114, 357-366, 2017.
(DOI: https://doi.org/10.1016/j.renene.2017.07.023)
Won W, Motagamwala AH, Dumesic JA, Maravelias CT. A co-solvent hydrolysis strategy for the production of biofuels: Process synthesis and technoeconomic analysis. Reaction Chemistry and Engineering, 2, 397-405, 2017.
(DOI: http://dx.doi.org/10.1039/C6RE00227G)
Huang K, Brentzel ZJ, Barnett KJ, Dumesic JA, Huber GW, Maravelias CT. Conversion of Furfural to 1,5-Pentanediol: Process Synthesis and Analysis. ACS Sustainable Chemistry & Engineering, 5, 4699-4706, 2017.
(DOI: http://dx.doi.org/10.1021/acssuschemeng.7b00059)
Peng X, Root TW, Maravelias CT. Storing Solar Energy with Chemistry: The Role of Thermochemical Storage in Concentrating Solar Power. Green Chemistry, 19, 2427-2438, 2017.
(DOI: http://dx.doi.org/10.1039/C7GC00023E)
Martin Alonso D, Hakim S, Zhou S, Won W, Hosseinaei O, Tao J, Garcia-Negron V, Motagamwala AH, Mellmer MA, Huang K, Houtman CJ, Labbé N, Harper DP, Maravelias CT, Runge TM, Dumesic JA. Increasing the Revenue from Lignocellulosic Biomass: Maximizing Feedstock Utilization. Science Advances, 3 (5), e1603301, 2017.
(DOI: http://dx.doi.org/10.1126/sciadv.1603301)
Yenkie KM, Wu W, Maravelias CT. Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions. Biotechnology for Biofuels, 10:119, 2017.
(DOI: https://doi.org/10.1186/s13068-017-0804-2)
Risbeck MJ, Maravelias CT, Rawlings JB, Turney, RD. A Mixed-Integer Linear Programming Model for Real-Time Cost Optimization of Building Heating, Ventilation, and Air Conditioning Equipment. Energy and Buildings, 142, 220-235, 2017.
(DOI: https://doi.org/10.1016/j.enbuild.2017.02.053)
Brentzel ZJ, Barnett KJ, Huang K, Maravelias CT, Dumesic JA, Huber GW. Commodity Chemicals from Biomass: Combining Ring-opening Tautomerization and Hydrogenation Reactions to Produce 1,5-Pentanediol from Furfural. ChemSusChem, 10, 1351-1355, 2017.
(DOI: https://doi.org/10.1002/cssc.201700178)
Dong Y, Velez S, Maravelias CT. Changeover Formulations for Discrete-time Mixed-integer Programming Scheduling Models. European Journal of Operational Research, 260 (3), 949-963, 2017.
(DOI: https://doi.org/10.1016/j.ejor.2017.01.004)
Dong Y, Sundaramoorthy A, Pinto JM, Maravelias CT. Solution Methods for Vehicle-based Inventory Routing in the Chemicals Sector. Computers & Chemical Engineering, 101, 259-278, 2017.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2017.02.036)
Kong L, Avadiappan V, Huang K, Maravelias CT. Simultaneous Chemical Process Synthesis and Heat Integration with Unclassified Hot/Cold Process Streams. Computers & Chemical Engineering, 101, 210-225, 2017.
(DOI: https://doi.org/10.1016/j.compchemeng.2017.02.024)
Herron JA, Vann T, Duong N, Resasco DE; Crossley S, Lobban LL, Maravelias CT. A Systems-level Roadmap for Biomass Thermal Fractionation and Catalytic Upgrading Strategies. Energy Technology, 5, 130-150, 2017.
(DOI: https://doi.org/10.1002/ente.201600147)
Wu W, Yenkie K, Maravelias CT. A Superstructure-based Framework for Bioseparation Network Synthesis. Computers & Chemical Engineering, 96, 1-17, 2017.
(DOI: https://doi.org/10.1016/j.compchemeng.2016.10.007)
Ng RTL, Maravelias CT. Design of Biofuel Supply Chains with Variable Regional Depot and Biorefinery Locations. Renewable Energy, 100, 90-102, 2017.
(DOI: https://doi.org/10.1016/j.renene.2016.05.009)
Wu W-Z, Kurniawan D, Zhu W, Maravelias CT. Composite-Curve-Based Biomass Procurement Planning Approach. Advances in Energy Systems Engineering (Editors: Kopanos, G.M, Liu, P, Georgiadis, M.C.), 749-770, Springer, 2017.(ISBN: 978-3-319-42803-1).
(DOI: https://doi.org/10.1007/978-3-319-42803-1_25)

2016

Martagan T, Krishnamurthy A, Leland PA, Maravelias CT. Optimal Purification Decisions for Engineer-to-Order Proteins at Aldevron. Production and Operations Management, 25(12), 2003-2005, 2016.
(DOI: https://doi.org/10.1111/poms.1_12637).
Gupta D, Maravelias CT, Wassick JM. From Rescheduling to Online Scheduling. Chemical Engineering Research and Design, 116, 83-97, 2016.
(DOI: http://dx.doi.org/10.1016/j.cherd.2016.10.035).
Yenkie KM, Wu W, Clark RL, Pfleger BF, Root TW, Maravelias CT. A Roadmap for the Synthesis of Separation Networks for the Recovery of Bio-based Chemicals: Matching Biological and Process Feasibility. Biotechnology Advances, 34, 1362-1383, 2016.
(DOI: http://dx.doi.org/10.1016/j.biotechadv.2016.10.003).
Motagamwala AH, Won W, Maravelias CT, Dumesic JA. An Engineered Solvent System for Sugar Production from Lignocellulosic Biomass Using Biomass Derived γ-valerolactone. Green Chemistry, 18, 5756-5763, 2016.
(DOI: http://dx.doi.org/10.1039/C6GC02297A).
Herron JA, Maravelias CT. Assessment of Solar-to-Fuels Strategies: Photocatalysis and Electro-catalytic Reduction. Energy Technology, 4, 1369-1391, 2016.
(DOI: https://doi.org/10.1002/ente.201600163)
Merchan AF, Lee H-J, Maravelias CT. Discrete-Time Mixed-integer Programming Models for Solution Methods for Production Scheduling in Multistage Facilities. Computers & Chemical Engineering, 94, 387-410, 2016.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2016.04.034 ).
Gupta D, Maravelias CT. On Deterministic Rescheduling: Major Considerations, Paradoxes, and Remedies. Computers & Chemical Engineering, 94, 312-330, 2016.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2016.08.006).
Wu W, Henao C.A, Maravelias CT. A Superstructure Representation, Generation, and Modeling Framework for Chemical Process Synthesis. AIChE J., 62 (9), 3199-3214, 2016.
(DOI: http://dx.doi.org/10.1002/aic.15300).
Kong L, Sen SM, Henao CA, Dumesic JA, Maravelias CT. A Superstructure-based Framework for Simultaneous Process Synthesis, Heat Integration, and Utility Plant Design. Computers & Chemical Engineering, 91, 68-84, 2016.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2016.02.013).
Martagan T, Krishnamurthy A, Maravelias CT. Optimal Condition-Based Harvesting Policies for Biomanufacturing Operations with Failure Risks. IIE Transactions, 48(5), 440-461, 2016.
(DOI: http://dx.doi.org/10.1080/0740817X.2015.1101523).
Ng RTL, Maravelias CT. Design of Cellulosic Ethanol Supply Chains with Regional Depots. Industrial & Engineering Chemistry Research, 55, 3420-3432, 2016.
(DOI: http://dx.doi.org/10.1021/acs.iecr.5b03677).
Merchan AF, Maravelias CT. Preprocessing and Tightening Methods for Time-Indexed Mixed-integer Programming Models for Chemical Production Scheduling. Computers & Chemical Engineering, 84, 516-535, 2016.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2015.10.003).

2015

Velez S, Merchan AF, Maravelias CT. On the Solution of Large-Scale Mixed-integer Programming Scheduling Models. Chemical Engineering Science, 136, 139-157, 2015.
(DOI: http://dx.doi.org/10.1016/j.ces.2015.05.021).
Han J-H, Sen SM, Luterbacher JS, Martin Alonso D, Dumesic JA, Maravelias CT. Process Systems Engineering Studies for the Synthesis of Catalytic Biomass-to-Fuels Strategies. Computers and Chemical Engineering, 81, 57-69, 2015.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2015.04.007).
Han J-H, Luterbacher JS, Martin Alonso D, Dumesic JA, Maravelias CT. A Lignocellulosic Ethanol Strategy via Nonenzynmatic Sugar Production: Process Synthesis and Analysis. Bioresource Technology, 182, 258-266, 2015.
(DOI: http://dx.doi.org/10.1016/j.biortech.2015.01.135).
Herron JA, Kim J, Upadhye AA, Huber GW, Maravelias CT. A Generalized Framework for the Assessment of Solar Fuels Technologies. Energy & Environmental Science, 8, 126-157, 2015.
(DOI: http://dx.doi.org/10.1039/C4EE01958J).
Colvin M, Maravelias CT. Pharmaceutical R&D Pipeline Planning. Handbook on Project Management and Scheduling, Vol. 2 (Editors: Schwindt, C, Zimmermann, J.), 1267-1287, Springer, 2015.
(DOI: https://doi.org/10.1007/978-3-319-05915-0_27)
Velez S, Maravelias CT. Theoretical Framework for the Formulation of MIP Scheduling Models with Multiple and Nonuniform Discrete-time Grids. Computers & Chemical Engineering, 72, 233-254, 2015.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2014.03.003).

2014

Dong Y, Sundaramoorthy A, Pinto JM, Maravelias CT. A MIP Model for Inventory Routing in Industrial Gases Supply Chain. Industrial & Engineering Chemistry Research, 53(44), 17214-17225, 2014.
(DOI: http://dx.doi.org/10.1021/ie500460c).
Bond JQ, Upadhye AA, Olcay H, Tompsett GA, Jae J, Xing R, Alonso DM, Wang D, Zhang T, Kumar R, Foster A, Sen SM, Maravelias CT, Malina, R, Barrett, S.R.H, Lobo, R, Wyman, C.E, Dumesic, J.A, Huber, G.W. Production of Renewable Jet Fuel Range Alkanes and Commodity Chemicals from Integrated Catalytic Processing of Biomass. Energy & Environmental Science, 7, 1500-1523, 2014.
(DOI: http://dx.doi.org/10.1039/C3EE43846E).
Merchan AF, Maravelias CT. Reformulations of Mixed-integer Programming Continuous-time Models for Chemical Production Scheduling. Industrial & Engineering Chemistry Research, 53(24), 10155-10165, 2014.
(DOI: http://dx.doi.org/10.1021/ie404274b).
Velez S, Maravelias CT. Advances in Mixed-integer Programming Methods for Chemical Production Scheduling. Annual Review of Chemical and Biomolecular Engineering, 5, 97-121, 2014.
(DOI: http://dx.doi.org/10.1146/annurev-chembioeng-060713-035859).
Luterbacher JS, Rand JM, Martin Alonso D, Han J, Youngquist JT, Maravelias CT, Pfleger BF, Dumesic JA. Nonenzymatic Sugar Production from Biomass Using Biomass-derived γ-valerolactone. Science, 343, 207, 2014.
(DOI: http://dx.doi.org/10.1126/science.1246748)
Subramanian K, Rawlings JB, Maravelias CT. Economic Model Predictive Control for Inventory Management in Supply Chains. Computers & Chemical Engineering, 64, 71-80, 2014.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2014.01.003)
Harjunkoski I, Maravelias CT, Bongers P, Castro P, Engell S, Grossmann IE, Hooker J, Mendez C, Sand G, Wassick J. Scope for Industrial Applications of Production Scheduling Models and Solution Methods. Computers & Chemical Engineering, 62, 161-193, 2014.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2013.12.001).
Nason T, Grabow L, Mavrikakis M, Biegler L, Maravelias CT. Advanced Solution Methods for Microkinetic Models of Catalytic Reactions: a Methanol Synthesis Case Study. AIChE J., 60(4), 1336-1346, 2014.
(DOI: http://dx.doi.org/10.1002/aic.14322).
Han J-H, Sen SM, Alonso D, Dumesic JA, Maravelias CT. A Strategy for the Simultaneous Catalytic Conversion of Hemicellulose and Cellulose from Lignocellulosic Biomass to Liquid Transportation Fuels. Green Chemistry, 16, 653-661, 2014.
(DOI: http://dx.doi.org/10.1039/C3GC41511B).

2013

Merchan AG, Velez S, Maravelias CT. Tightening Methods for Continuous-time Mixed-Integer Programming Models for Chemical Production Scheduling. AIChE J., 59(12), 4461-4467, 2013.
(DOI: http://dx.doi.org/10.1002/aic.14249).
Caes BR, Van Oosbree TR Lu F, Ralph J, Maravelias CT, Raines RT. Simulated Moving Bed Chromatography: Separation and Recovery of Sugars and Ionic Liquid from Biomass Hydrolysates. ChemSusChem, 6(11), 2083-2089, 2013.
(DOI: http://dx.doi.org/10.1002/cssc.201300267).
Kim J, Miller JA, Maravelias CT, Stechel EB. Comparative Analysis of Environmental Impact of S2P (Sunshine to Petrol) System for Transportation Fuel Production. Applied Energy, 111, 1089-1098, 2013.
(DOI: http://dx.doi.org/10.1016/j.apenergy.2013.06.035)
Velez S, Maravelias CT. A Branch-and-Bound Algorithm for the Solution of Chemical Production Scheduling MIP Models Using Parallel Computing. Computers & Chemical Engineering, 55, 28-39, 2013.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2013.03.030)
Velez S, Maravelias CT. Multiple and Nonuniform Time Grids in Discrete-Time MIP Models for Chemical Production Scheduling. Computers & Chemical Engineering, 53, 70-85, 2013.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2013.01.014).
Velez S, Maravelias CT. Reformulations and Branching Methods for Mixed-integer Programming Chemical Production Scheduling Models. Industrial & Engineering Chemistry Research, 52 (10), 3832-3841, 2013.
(DOI: http://dx.doi.org/10.1021/ie303421h)
Velez S, Maravelias, CT. Mixed-integer Programming Model and Tightening Methods for Scheduling in General Chemical Production Environments. Industrial & Engineering Chemistry Research, 52 (9), 3407-3423, 2013.
(DOI: http://dx.doi.org/10.1021/ie302741b)
Kim J, Sen SM, Maravelias CT. An Optimization-Based Assessment Framework for Biomass-to-Fuels Conversion Strategies. Energy & Environmental Science, 6 (4), 1093-1104, 2013.
(DOI: http://dx.doi.org/10.1039/C3EE24243A).
Subramanian K, Rawlings JB, Maravelias CT, Flores-Cerrillo J, Megan L. Integration of Control Theory and Scheduling Methods for Supply Chain Management. Computers & Chemical Engineering, 51, 4-20, 2013.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2012.06.012).
Velez S, Sundaramoorthy A, Maravelias CT. Valid Inequalities Based on Demand Propagation for Chemical Production Scheduling MIP Models. AIChE J., 59(3), 872-887, 2013.
(DOI: http://dx.doi.org/10.1002/aic.14021).

2012

Sen SM, Alonso D, Wettstein SG, Gurbuz EI, Henao CA, Dumesic JA, Maravelias CT. A Sulfuric Acid Management Strategy for the Production of Liquid Hydrocarbon Fuels via Catalytic Conversion of Biomass-derived Levulinic Acid. Energy & Environmental Science, 5(12), 9690-9697, 2012.
(DOI: http://dx.doi.org/10.1039/c2ee22526c).
Sen SM, Gurbuz EI, Wettstein SG, Alonso D, Dumesic JA, Maravelias CT. Production of Butene Oligomers as Transportation Fuels using Butene for Esterification of Levulinic Acid from Lignocellulosic Biomass: Process Synthesis and Technoeconomic Evaluation. Green Chemistry, 14 (12), 3289-3294, 2012.
(DOI: http://dx.doi.org/10.1039/c2gc35881f).
Subramanian K, Maravelias CT, Rawlings JB. A State-space Model for Chemical Production Scheduling. Computers & Chemical Engineering, 47, 97-110, 2012.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2012.06.025).
Kim J, Miller JA, Johnson T Stechel E, Maravelias CT. Fuel Production from CO2 Using Solar-Thermal Energy: System Level Analysis. Energy & Environmental Science, 5 (9), 8417 - 8429, 2012.
(DOI: http://dx.doi.org/10.1039/c2ee21798h).
Sen SM, Binder JB, Raines RT, Maravelias CT. Conversion of Biomass to Sugars via Ionic Liquid Hydrolysis: Process Synthesis and Economic Evaluation. Biofuels, Bioproducts & Biorefining, 6(4), 444-452, 2012.
(DOI: http://dx.doi.org/10.1002/bbb.1336)
Maravelias CT. A General Framework and Modeling Approach Classification for Chemical Production Scheduling. AIChE J., 58 (6), 1812-1828, 2012.
(DOI: http://dx.doi.org/10.1002/aic.13801)
Maravelias CT. On the Combinatorial Structure of Discrete-time MIP Formulations for Chemical Production Scheduling. Computers & Chemical Engineering, 38, 204-212, 2012.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2011.11.004).
Sen M, Henao CA, Braden DJ, Dumesic JA, Maravelias CT. Catalytic Conversion of Lignocellulosic Biomass to Fuels: Process Development and Technoeconomic Evaluation. Chemical Engineering Science, 67, 57-67, 2012.
(DOI: http://dx.doi.org/10.1016/j.ces.2011.07.022).

2011

Kim J, Reed JL, Maravelias CT. Large-scale Bi-level Strain Design Approaches and Mixed-integer Programming Solution Techniques. PLoS ONE, 6(9), e24162, 2011.
(DOI: http://dx.doi.org/10.1371/journal.pone.0024162).
Kim J, Henao CA, Johnson TA, Dedrick DE, Miller JA, Stechel EB, Maravelias CT. Methanol Production from CO₂ Using Solar-Thermal Energy: Process Development and Techno-Economic Analysis. Energy & Environmental Science, 4, 3122-3132, 2011.
(DOI: http://dx.doi.org/10.1039/c1ee01311d).
Colvin M, Maravelias CT. R&D Pipeline Planning: Task Interdependencies and Risk Management. European Journal of Operational Research, 215, 616-628, 2011.
(DOI: http://dx.doi.org/10.1016/j.ejor.2011.06.023)
Braden DJ, Henao CA, Heltzel J, Maravelias CT, Dumesic JA. Production of Liquid Hydrocarbon Fuels by Catalytic Conversion of Biomass-derived Levulinic Acid. Green Chemistry, 13, 1755-1765, 2011.
(DOI: http://dx.doi.org/10.1039/c1gc15047b).
Sundaramoorthy A, Maravelias CT. Computational Study of Scheduling Approaches for Batch Process Networks. Industrial & Engineering Chemistry Research, 50(9), 5023-5040, 2011.
(DOI: http://dx.doi.org/10.1021/ie101419z).
Henao CA, Maravelias CT. Surrogate-Based Superstructure Optimization Framework. AIChE J., 57(5), 1216-1232, 2011.
(DOI: http://dx.doi.org/10.1002/aic.12341).
Kopanos G, Puigjaner L, Maravelias CT. Production Planning and Scheduling of Parallel Continuous Processes with Product Family Considerations. Industrial & Engineering Chemistry Research, 50, 1369-1378, 2011.
(DOI: http://dx.doi.org/10.1021/ie100790t).
Sundaramoorthy A, Maravelias CT. A General Framework for Process Scheduling. AIChE J., 57(3), 695-710, 2011.
(DOI: http://dx.doi.org/10.1002/aic.12300).

2010

Colvin M, Maravelias CT. Modeling Methods and a Branch and Cut Algorithm for Pharmaceutical Clinical Trial Planning Using Stochastic Programming. European Journal of Operational Research, 203, 205-215, 2010.
(DOI: http://dx.doi.org/10.1016/j.ejor.2009.07.022).

2009

Maravelias CT, Sung C. Integration of Production Planning and Scheduling: Overview, Challenges and Opportunities. Computers & Chemical Engineering, 33 (12), 1919-1930, 2009.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.06.007).
Maravelias CT, Papalamprou K. Polyhedral Results for Discrete-time MIP Formulations for Scheduling and Production Planning. Computers & Chemical Engineering, 33(11), 1890-1904, 2009.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.05.015).
Sung C, Maravelias CT. A Projection-Based Method for Production Planning of Multiproduct Facilities. AIChE J, 55 (10), 2614-2630, 2009.
(DOI: http://dx.doi.org/10.1002/aic.11845).
Gimenez DM, Henning G, Maravelias CT. A Novel Network-based Continuous-time Representation for Process Scheduling: Part II. Integrated Framework. Computers & Chemical Engineering. 33(10), 1644-1660, 2009.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.04.013).
Gimenez DM, Henning G, Maravelias CT. A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Main Concepts and Mathematical Formulation. Computers & Chemical Engineering, 33 (9), 1511-1528, 2009.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.03.007).
Ferris MC, Maravelias CT, Sundaramoorthy A. Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid. INFORMS Journal on Computing, 21 (3), 398-410, 2009.
(DOI: http://dx.doi.org/10.1287/ijoc.1090.0339).
Sundaramoorthy A, Maravelias CT, Prasad P. Scheduling of Multi-stage Batch Processes under Utility Constraints. Industrial & Engineering Chemistry Research, 48 (13), 6050-6058, 2009.
(DOI: http://dx.doi.org/10.1021/ie801386m).
Colvin M, Maravelias CT. Scheduling of Testing Tasks and Resource Planning in New Product Development Using Stochastic Programming. Computers & Chemical Engineering, 33 (5), 964-976, 2009.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2008.09.010).

2008

Colvin M, Maravelias CT. A Stochastic Programming Approach for Clinical Trial Planning in New Drug Development. Computers & Chemical Engineering, 32(11), 2626-2642, 2008.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2007.11.010).
Sundaramoorthy A, Maravelias CT. Modeling of Storage Constraints in Batching and Scheduling of Multi-stage Processes. Industrial & Engineering Chemistry Research, 47 (17), 6648-6660, 2008.
(DOI: http://dx.doi.org/10.1021/ie701737a).
Prasad P, Maravelias CT. Batch Selection, Assignment and Sequencing in Multistage Processes. Computers & Chemical Engineering, 32 (6), 1114-1127, 2008.
(DOI: : http://dx.doi.org/10.1016/j.compchemeng.2007.06.012).
Sundaramoorthy A, Maravelias CT. Simultaneous Batching and Scheduling in Multi-stage Multi-product Processes. Industrial & Engineering Chemistry Research, 47 (5), 1546-1555, 2008.
(DOI: http://dx.doi.org/10.1021/ie070944y).
Sung C, Maravelias CT. A Mixed-Integer Programming Formulation for the General Capacitated Lot-sizing Problem. Computers & Chemical Engineering, 32(1), 244-259, 2008.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2007.05.001).

2007

Sung C, Maravelias CT. An Attainable Region Approach for Effective Production Planning of Multi-product Processes. AIChE J., 53 (5), 1298-1315, 2007.
(DOI: http://dx.doi.org/10.1002/aic.11167).

2006

Prasad P, Maravelias CT, Kelly J. Optimization of Aluminum Smelter Casthouse Operations. Industrial & Engineering Chemistry Research, 45 (22), 7603-7617, 2006.
(DOI: http://dx.doi.org/10.1021/ie060652h).
Maravelias CT. A Decomposition Framework for the Scheduling of Batch Processes. Computers & Chemical Engineering, 30 (3), 407-420, 2006.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2005.09.011).
Maravelias CT, Grossmann IE. On the Relation of Continuous and Discrete Time Models for the State-Task Network Formulation. AIChE J., 52 (2), 843-849, 2006.
(DOI: http://dx.doi.org/10.1002/aic.10684).

2005

Maravelias CT. Mixed Time Representation for State-Task Network Models. Industrial & Engineering Chemistry Research, 44 (24), 9129-9145, 2005.
(DOI: http://dx.doi.org/10.1021/ie0500117).

2001 - 2004

Maravelias CT, Grossmann IE. A Hybrid MIP/CP Decomposition Approach for the Short Term Scheduling of Multipurpose Plants. Computers & Chemical Engineering, 28, 1921-1949, 2004.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2004.03.016).
Maravelias CT, Grossmann IE. Optimal Resource Investment and Scheduling of Tests for New Product Development. Computers & Chemical Engineering, 28 (6-7), 1021-1038, 2004.
(DOI: http://dx.doi.org/10.1016/j.compchemeng.2003.09.019).
Maravelias CT, Grossmann IE. Using MILP and CP for the Scheduling of Batch Chemical Processes. Lecture Notes on Computer Science, 3011, 1-20, 2004.
Maravelias CT, Grossmann IE. Minimization of Makespan with Discrete-Time State Task Network Formulation. Industrial & Engineering Chemistry Research, 42 (24), 6252-6257, 2003.
(DOI: http://dx.doi.org/10.1021/ie034053b).
Maravelias CT, Grossmann IE. New Continuous-Time State Task Network Formulation for the Scheduling of Multipurpose Batch Plants. Industrial & Engineering Chemistry Research, 42 (13), 3056 – 3074, 2003.
(DOI: http://dx.doi.org/10.1021/ie020923y).
Maravelias CT, Grossmann IE. Simultaneous Planning for New Product Development and Batch Manufacturing Facilities. Industrial & Engineering Chemistry Research, 40 (26), 6147-6164, 2001.
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