Journal Publications
Wang, B. X., Cortes-Peña, Y., Grady, B. P., Huber, G. W., & Zavala, V. M. (2024). Techno-Economic Analysis and Life Cycle Assessment of the Production of Biodegradable Polyaliphatic–Polyaromatic Polyesters. ACS Sustainable Chemistry & Engineering. [link]
Wang, R., Ma, J., Sheng, H., Zavala, V. M., & Jin, S. (2024). Exploiting different electricity markets via highly rate-mismatched modular electrochemical synthesis. Nature Energy. [link]
Morales, G. H., Medina, E. I. S., Jiménez-Gutiérrez, A., & Zavala, V. M. (2024). Graph neural networks for CO2 solubility predictions in Deep Eutectic Solvents. Computers & Chemical Engineering. [link]
Blanco, V., Hinojosa, Y., & Zavala, V. M. (2024). The Waste-to-Biomethane Logistic Problem: A Mathematical Optimization Approach. ACS Sustainable Chemistry & Engineering. [link]
Harmer, Z. P., Thompson, J. C., Cole, D. L., Venturelli, O. S., Zavala, V. M., & McClean, M. N. (2024). Dynamic Multiplexed Control and Modeling of Optogenetic Systems Using the High-Throughput Optogenetic Platform, Lustro. ACS Synthetic Biology. [link]
Cole, D.L. and Zavala, V.M. (2024). PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as Graphs. Computers & Chemical Engineering. [link]
Lopez, B., Ma, J., & Zavala, V. M. (2023). Graph-Based Optimization for Technology Pathway Analysis: A Case Study in Decarbonization of University Campuses. ACS I&ECR. [link]
Laky, D. J., & Zavala, V. M. (2024). A Fast and Scalable Computational Topology Framework for the Euler Characteristic. Digital Discovery. [link]
Wang, F., Qin, S., Acevedo-Velez, C., Van Lehn, R.C., Zavala, V.M., and Lynn, D.M. (2023). Decoding Optical Responses of Contact-Printed Arrays of Thermotropic Liquid Crystals Using Machine Learning: Detection and Reporting of Aqueous Amphiphiles with Enhanced Sensitivity and Selectivity. ACS Applied Materials & Interfaces. [link]
Cole, D.L., Ruiz-Mercado, G.J., and Zavala, V.M. (2023). A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters. Computers & Chemical Engineering. [link]
Li, H., Wu, J., Jiang, Z., Ma, J., Zavala, V.M., Landis, C.R., Mavrikakis, M. and Huber, G.W. (2023). Hydroformylation of Plastic Pyrolysis Oils: A New Route to Produce Chemicals from Plastic Waste. Science. [link]
Boigenzahn, H., González, L.D., Thompson, J.C., Zavala, V.M. and Yin, J. (2023). Kinetic modeling and parameter estimation of a prebiotic peptide reaction network. Journal of Molecular Evolution. [link]
Jiang, S. Bao, N., Smith, A.D., Byndoor, S., Van Lehn, R.C., Mavrikakis, M., Nicholas, A.L. and Zavala, V.M. (2023) Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Data Analysis. Journal of Physical Chemistry C. [link]
Erickson, E. D., Tominac, P. A., & Zavala, V. M. (2023). Biogas production in United States dairy farms incentivized by electricity policy changes. Nature Sustainability.
dos Santos, K. V., Colonetti, B., Finardi, E. C., & Zavala, V. M. (2023). Accelerated dual dynamic integer programming applied to short-term power generation scheduling. International Journal of Electrical Power & Energy Systems.
Shao, Y., Ma, J., & Zavala, V. M. (2023). A spatial superstructure approach to the optimal design of modular processes and supply chains. Computers & Chemical Engineering.
Ma, J., Rebarchik, M., Bhandari, S., Mavrikakis, M., Huber, G. W., & Zavala, V. M. (2023). Exploiting electricity market dynamics using flexible electrolysis units for retrofitting methanol synthesis. Energy & Environmental Science.
Zavala, V. M. (2023). Outlook: How I Learned to Love Machine Learning (A Personal Perspective on Machine Learning in Process Systems Engineering). Industrial & Engineering Chemistry Research.
Sánchez-Rivera, K. L., del Carmen Munguía-López, A., Zhou, P., Cecon, V. S., Yu, J., Nelson, K., Zavala, V. M., & Huber, G. W. (2023). Recycling of a post-industrial printed multilayer plastic film containing polyurethane inks by solvent-targeted recovery and precipitation. Resources, Conservation and Recycling. [link]
Smith, A., Hua, J., de Foy, B., Schauer, J. J., & Zavala, V. M. (2023). Multi-site, multi-pollutant atmospheric data analysis using Riemannian geometry. Science of The Total Environment. [link]
Zhang W. and Zavala V.M. (2023) Quantifying Space-Time Load Shifting Flexibility in Electricity Markets. Computers and Chemical Engineering. [link]
Olafasakin, O., Ma, J., Bradshaw, S.L., Aguirre-Villegas, H.A., Benson, C., Huber, G.W., Zavala, V.M. and Mba Wright, M., Techno-Economic and Life Cycle Assessment of Standalone Single-Stream Material Recovery Facilities in the United States. Waste Management. [link]
Yu, J., Munguía-López, A.C., Cecon V.S., Sánchez‐Rivera, K.L., Nelson, K., Kolapkar, S., Zavala, V.M., Vorst, K.L., Bar-Ziv, E., and Huber, G.W. (2022). High-purity Polypropylene from Disposable Face Masks via Solvent-Targeted Recovery and Precipitation. Green Chemistry. [link]
Sánchez‐Rivera, K.L., Munguía-López, A.C., Zhou, P., Cecon, V., Yu, J., Nelson, K., Miller, D., Grey, S., Xu, Z., Bar-Ziv, E., Vorst, K., Curtzwiler, G., Van Lehn, R.C., Zavala, V.M., and Huber, G.W. (2022). Recycling of printed multilayer plastic packaging films by solvent-targeted recovery and precipitation. Resources, Conservation and Recycling. [link]
González, L.D. and Zavala, V.M. (2023). New Paradigms for Exploiting Parallel Experiments in Bayesian Optimization. Computers & Chemical Engineering. [link]
Munguía-López, A.C., Göreke, D., Sánchez-Rivera, K.L., Aguirre-Villegas, H.A., Avraamidou, S., Huber, G., & Zavala, V.M. (2022). Quantifying the Environmental Benefits of a Solvent-Based Separation Process for Multilayer Plastic Films. Green Chemistry. [link]
Long F., Jiang S., Adekunle A.G., Zavala V.M. and Bar-Ziv E. (2022). Online Characterization of Mixed Plastic Waste Using Machine Learning and Mid-Infrared Spectroscopy. ACS Sustainable Chemistry & Engineering. [link]
Kim, J.R., Hu, Y., Zavala, V. & Karthikeyan, K.G. (2022). Techno-Economic Analysis of Pretreatments to Dairy Manure Biomass for Enhanced Biogas Production. Bioresource Thecnology Reports. [link]
Smith, A., Runde, S., Chew, A., Kelkar, A., Maheshwari, U., Van Lehn, R., & Zavala, V. M. (2023). Topological Analysis of Molecular Dynamics Simulations using the Euler Characteristic. Journal of Chemical Information & Modeling. [link]
Ma, J., Tominac, P., Aguirre-Villegas, H., Olafasakin, O., Mba-Wright, M., Benson, C., Huber, G., & Zavala, V. (2022). Economic Evaluation of Infrastructures for Thermochemical Upcycling of Post-Consumer Plastic Waste. Green Chemistry. [link]
Qin, S., Jiang, S., Li, J., Balaprakash, P., Van Lehn, R.C., and Zavala, V.M. (2022) Capturing Molecular Interactions in Graph Neural Networks: A Case Study in Multi-Component Phase Equilibrium. Digital Discovery. [link]
Zhang W., Roald L.A., and Zavala V.M. (2022) Exploring the Impacts of Power Grid Signals on Data Center Operations using a Receding-Horizon Scheduling Model. IEEE Transactions on Sustainable Computing. [link]
Smith, A., Laubach, B., Castillo, I., & Zavala, V. M. (2022). Data Analysis using Riemannian Geometry and Applications to Chemical Engineering. Computers & Chemical Engineering. [link]
Pulsipher, J. L., Davidson, B. R., & Zavala, V. M. (2022). Random Field Optimization. Computers & Chemical Engineering. [link]
Je, L., Huber, G. W., Van Lehn, R. C., & Zavala, V. M. (2022). On the integration of molecular dynamics, data science, and experiments for studying solvent effects on catalysis. Current Opinion in Chemical Engineering. [link]
Alcocer-Garcia, H., Segovia-Hernandez, J. G., Sanchez-Ramirez, E., Tominac, P., & Zavala, V. M. (2022). Coordinated markets for furfural and levulinic acid from residual biomass: A case study in Guanajuato, Mexico. Computers & Chemical Engineering. [link]
Bao, N., Jiang, S., Smith, A., Schauer, J. J., Mavrikakis, M., Van Lehn, R. C., Zavala, V.M., and Abbott, N. L. (2022). Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks. ACS sensors. [link]
Bao, N., Gold, J. I., Sheavly, J. K., Schauer, J. J., Zavala, V. M., Van Lehn, R. C., ... & Abbott, N. L. (2022). Ordering Transitions of Liquid Crystals Triggered by Metal Oxide-catalyzed Reactions of Sulfur Oxide Species. Journal of the American Chemical Society. [link]
Hernández-Romero, I. M., Zavala, V. M., Flores-Tlacuahuac, A., Nápoles-Rivera, F., Fuentes-Cortés, L. F., & Esquivel-Patiño, G. G. (2022). Multi-objective optimization of an open-cycle, ocean thermal energy conversion system with desalinization. Chemical Engineering and Processing-Process Intensification. [link]
Li, H., Aguirre-Villegas, H. A., Allen, R. D., Bai, X., Benson, C. H., Beckham, G. T., ... & Huber, G. W. (2022). Expanding Plastics Recycling Technologies: Chemical Aspects, Technology Status and Challenges. Green Chemistry. [link]
Zhang W. and Zavala V.M. Pricing and Remunerating Electricity Storage Flexibility Using Virtual Links. Computers & Chemical Engineering, 2022. [link]
Na, S., Shin, S., Anitescu, M., Zavala, V.M. (2022) On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. IEEE Transactions on Automatic Control. [link]
Zhang W. and Zavala, V.M. (2022) Remunerating space–time, load-shifting flexibility from data centers in electricity markets. Applied Energy. [link]
Sánchez‐Rivera, K. L., Zhou, P., Kim, M. S., González Chávez, L. D., Grey, S., Nelson, K., Van Lehn, R.C., Zavala, V.M., & Huber, G. W. (2022). Reducing Antisolvent Use in the STRAP Process by Enabling a Temperature‐Controlled Polymer Dissolution and Precipitation for the Recycling of Multilayer Plastic Films. ChemSusChem. [link]
Martín-Hernández, E., Hu, Y., Zavala, V. M., Martín, M., & Ruiz-Mercado, G. J. (2022). Analysis of incentive policies for phosphorus recovery at livestock facilities in the Great Lakes area. Resources, Conservation and Recycling. [link]
Pulsipher, J. L., Coutinho, L. D., Soderstrom, T. A., & Zavala, V. M. (2022). SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control. Journal of Process Control. [link]
Hu, Y., Aguirre-Villegas, H., Larson, R. A., & Zavala, V. M. (2022). Managing Conflicting Economic and Environmental Metrics in Livestock Manure Management. ACS ES&T Engineering. [link]
Colonetti, B., Finardi, E., Brito, S., & Zavala, V. (2022). Parallel Dual Dynamic Integer Programming for Large-Scale Hydrothermal Unit-Commitment. IEEE Transactions on Power Systems. [link]
Yoo, H., Zavala, V. M., & Lee, J. H. (2022). A dynamic penalty approach to state constraint handling in deep reinforcement learning. Journal of Process Control. [link]
Román, A. J., Qin, S., Rodríguez, J. C., González, L. D., Zavala, V. M., & Osswald, T. A. (2022) Natural Rubber Blend Optimization via Data-Driven Modeling: The Implementation for Reverse Engineering. [link]
Cole DL, Shin S, and Zavala VM. (2022) A Julia Framework for Graph-Structured Nonlinear Optimization. Industrial and Engineering Chemistry Research. [link]
Ma, J., & Zavala, V. M. (2022). Solution of large-scale supply chain models using graph sampling & coarsening. Computers & Chemical Engineering, 163, 107832. [link]
Jalving, J., Shin, S., Zavala, V.M. (2022) A Graph-Based Modeling Abstraction for Optimization: Concepts and Implementation in Plasmo.jl. Mathematical Programming Computation. [link]
Tominac, P. A., Zhang, W., & Zavala, V. M. (2022). Spatio-temporal economic properties of multi-product supply chains. Computers & Chemical Engineering, 159, 107666. [link]
Zinchik, S., Jiang, S., Friis, S., Long, F., Høgstedt, L., Zavala, V. M., & Bar-Ziv, E. (2021). Accurate Characterization of Mixed Plastic Waste Using Machine Learning and Fast Infrared Spectroscopy. ACS Sustainable Chemistry & Engineering, 9(42), 14143-14151. [link]
Jiang, S., Xu, Z., Kamran, M., Zinchik, S., Paheding, S., McDonald, A. G., ... & Zavala, V. M. (2021). Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. Computers & Chemical Engineering, 155, 107547. [link]
Shin, S. and Zavala, V.M. (2022) Diffusing-Horizon Model Predictive Control, IEEE Transactions on Automatic Control. [link]
Shin, S., Anitescu, M., & Zavala, V. M. (2022). Exponential decay of sensitivity in graph-structured nonlinear programs. SIAM Journal on Optimization. [link]
Pulsipher, J. L., Zhang, W., Hongisto, T. J., & Zavala, V. M. (2022). A unifying modeling abstraction for infinite-dimensional optimization. Computers & Chemical Engineering. [link]
Ma, J., Tominac, P., Pfleger, B. F., & Zavala, V. M. (2021). Infrastructures for phosphorus recovery from livestock waste using cyanobacteria: Transportation, techno-economic, and policy implications. ACS Sustainable Chemistry & Engineering. [link].
Qin, S., Jin, T., Van Lehn, R. C., & Zavala, V. M. (2021). Predicting critical micelle concentrations for surfactants using graph convolutional neural networks. The Journal of Physical Chemistry B. [link]
Lu, Q., González, L. D., Kumar, R., & Zavala, V. M. (2021). Bayesian optimization with reference models: A case study in MPC for HVAC central plants. Computers & Chemical Engineering. [link]
Smith, A., & Zavala, V. M. (2021). The Euler characteristic: A general topological descriptor for complex data. Computers & Chemical Engineering. [link]
Shao, Y., Hu, Y., & Zavala, V. M. (2021). Mitigating investment risk using modular technologies. Computers & Chemical Engineering. [link]
Lu, Q. and Zavala, V.M. (2021) Image-based Model Predictive Control via Dynamic Mode Decomposition, Journal of Process Control. [link]
Roman, A. J., Qin, S., Zavala, V. M., & Osswald, T. A. (2021). Neural network feature and architecture optimization for injection molding surface defect prediction of model polypropylene. Polymer Engineering & Science. [link]
Jiang, S. and Zavala, V.M. (2021) Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and New Applications. [link]
Tominac, P., Aguirre-Villegas, H., Sanford, J., Larson, R., Zavala, V.M. (2021) Evaluating landfill diversion strategies for municipal waste management using environmental and economic factors. ACS Sustainable Chemistry & Engineering. [link]
Jiang, S. Noh, J., Park, C., Smith, A. Abbott, N., and Zavala, V.M. (2021) Identification of Endotoxins from Bacterial Species using Liquid Crystal Droplets and Machine Learning, Analyst. [link]
Chew, A. K., Jiang, S., Zhang, W., Zavala, V. M., & Van Lehn, R. C. (2020). Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks. Chemical Science. [link]
Del Carmen Munguía-López, A., Zavala, V. M., Santibañez-Aguilar, J. E., and Ponce-Ortega, J. M. Optimization of Municipal Solid Waste Management using a Coordinated Framework. Waste Management. [link]
Kumar, R., Wenzel, M.J., ElBsat, M.N., Risbeck, M.J., Drees, K.H., and Zavala, V.M. (2021). Dual Dynamic Programming for Multi-Scale Mixed-Integer MPC. Computers and Chemical Engineering. [link]
Verrett, J., Boukouvala, F., Dowling, A., Ulissi, Z., and Zavala, V. M. (2020). Computational Notebooks in Chemical Engineering Curricula. Chemical Engineering Education. [link]
Sampat, A.M., Hicks, A., Ruiz-Mercado, G., and Zavala, V.M. (2021) Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste. Resources, Conservation & Recycling. [link]
Tominac, P. A., & Zavala, V. M. (2021). Economic properties of multi-product supply chains. Computers & Chemical Engineering, 145, 107157. [link]
Martins Nakama, Caroline, Carrillo Le Roux, Galo, Zavala, V. M. (2020). Optimal Constraint-Based Regularization for Parameter Estimation Problems, Computers & Chemical Engineering. [pdf]
Sampat, A. M., Kumar, R., Pushpangatha Kurup, R., Chiu, K., Saucedo, V. M., and Zavala, V. M. (2020). Multi-Site Supply Planning for Drug Products Under Uncertainty. AIChE Journal. [link]
Munguía-López, A., Zavala, V. M., Santibañez-Aguilar, J. E., & Ponce-Ortega, J. M. (2020). Optimization of municipal solid waste management using a coordinated framework. Waste Management. [link]
Smith, A., Abbott, N.L., and Zavala, V.M. (2020) Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors. Journal of Physical Chemistry C. [link]
Kumar, R., Wenzel, M.J., ElBsat, M.N., Risbeck, M.J., Drees, K.H., and Zavala, V.M. (2020). Stochastic Model Predictive Control for Central HVAC Plants. Journal of Process Control. [link]
Cao, Y., Lee, S., Subramanian, V., and Zavala, V.M. (2020). Multiscale Model Predictive Control of Battery Systems for Frequency Regulation Markets using Physics-Based Models. Journal of Process Control. [link]
Shao, Y., and Zavala, V.M. (2020). Modularity Measures: Concepts, Computation and Applications to Manufacturing Systems. AIChE. [link]
Pulsipher, J.L. and Zavala, V.M. (2020). Measuring and Optimizing System Reliability: A Stochastic Programming Approach. TOP. [link]
Hu, Y., Sampat, A.M., Ruiz-Mercado, G., and Zavala, V.M., Logistics Network Management of Livestock Waste for Spatiotemporal Control of Nutrient Pollution in Water Bodies. ACS Sustainable Chemistry & Engineering, 7(22), pp. 18359-18374, 2019. [link]
Smith, A., Keane, A., Huber, G., Dumesic, J., Zavala, V.M. Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data. Applied Catalysis B, 263, pp.118257, 2020. [link]
Shin, S., Zavala, V.M., and Anitescu, M. Decentralized Schemes with Overlap for Solving Graph-Structured Optimization Problems. IEEE Transactions on Control of Network Systems, 2020. [link]
Munguia-Lopez, A., Sampat, A.M., Ponce-Ortega, J.M., and Zavala, V.M., Fairness-Guided Design of Water Distribution Networks for Agricultural Lands. Computers & Chemical Engineering, 130, 106547, 2019. [link]
López-Díaz, D.C., Hu, Y., Chan, W., Ponce-Ortega, J.M., and Zavala, V.M., Systems-Level Analysis of Phosphorus Flows in the Dairy Supply Chain. ACS Sustainable Chemistry and Engineering, 7(20), pp.17074-17087, 2019. [link]
Sampat, A.M. and Zavala, V.M., Fairness Measures for Decision-Making and Conflict Resolution. Optimization and Engineering, pp. 1-24, 2019. [link]
Sampat, A.M., Hu, Y., Sharara, M., Aguirre-Villegas, H., Ruiz-Mercado, G., Larson, R.A., and Zavala, V.M. Coordinated Management of Organic Waste and Derived Products. Computers & Chemical Engineering, 128, pp. 352-363, 2019. [link]
Rodriguez, S., Laird, C.D., and Zavala, V. M. Scalable Preconditioning of Block-Structured Linear Algebra Systems using ADMM. Computers & Chemical Engineering, 133, 2020. [link]
Pulsipher, J.L. and Zavala, V.M., A Scalable Stochastic Programming Approach for the Design of Flexible Systems, Computers & Chemical Engineering, 128, pp. 69-76, 2019 [link]
Shao, Y., and Zavala, V.M., Space-Time Dynamics of Electricity Markets Incentivize Technology Decentralization. Computers & Chemical Engineering, 127, pp. 31-40, 2019. [link]
Kumar, R., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. Hierarchical MPC Schemes for Periodic Systems using Stochastic Programming, Automatica, 107, pp. 306-316, 2019. [link]
Pulsipher, J.L., Rios, D., and Zavala, V.M., A Computational Framework for Quantifying and Analyzing System Flexibility, Computers & Chemical Engineering, 126, pp. 342 - 355, 2019. [link]
Tian, H., Lu, Q., Gopaluni, R. B., Zavala, V. M. and Olson, J. A. An Economic Model Predictive Control Framework for Mechanical Pulping Processes. Control Engineering Practice, 85, pp. 100 - 109, 2019. [link]
Jalving, J., Cao, Y., and Zavala, V.M., Graph-Based Modeling and Simulation of Complex Systems. Computers & Chemical Engineering, 125, pp. 134-154, 2019. [link]
Shin, S., Hart, P., Jahns, T. and Zavala, V.M. A Hierarchical Optimization Architecture for Large-Scale Power Networks. IEEE Transactions on Control of Network Systems, 6(3):1004–1014, 2019. [link]
Shin, S., Venturelli, O., and Zavala, V.M. Scalable Nonlinear Programming Framework for Parameter Estimation in Dynamic Biological System Models. PLOS Computational Biology, 15(3), e1006828, 2019. [link]
Kumar, R., Jalving, J., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. Benchmarking Stochastic and Deterministic MPC: A Case Study in Stationary Battery Systems, AIChE Journal, 65, pp. 1-16, 2019. [link]
Cao, Y., and Zavala, V.M. A Scalable Global Optimization Algorithm for Stochastic Nonlinear Programs. Journal of Global Optimization, 1, pp. 1-24, 2019. [link]
Sorourifar, F., Zavala, V.M., and Dowling, A.W. Optimal Integrated Design, Market Participation, and Replacement Strategies for Battery Energy Storage Systems, IEEE Transactions on Sustainable Energy, In Press, 2019. [link]
Kim, K., Petra, C.G., and Zavala, V.M. An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. SIAM Journal on Optimization, 29, pp. 318–342, 2019. [link]
Cao, Y., Yu, H., Abbott, N.L., and Zavala, V.M. Machine Learning Algorithms for Liquid Crystals-Based Sensors. ACS Sensors, 3, pp. 2237-2245, 2018. [link]
Pulsipher, J., Zavala, V.M. A Mixed-Integer Conic Programming Formulation for Computation of the Flexibility Index under Multivariate Gaussian Uncertainty, Computers & Chemical Engineering, 119 (2), pp. 302-308, 2018 [link]
Rodriguez, S., Nicholson, B., Laird, C.D., and Zavala, V. M. Benchmarking ADMM in Nonconvex NLPs. Computers & Chemical Engineering, 119, pp. 315-325, 2018. [link]
Tovar-Facio, J., Cao, Y., Ponce-Ortega, J.M., and Zavala, V. M. Scalable Solution Strategies for Chance-Constrained Nonlinear Programs. Ind. & Eng. Chem. Res., 57 (23), pp. 7987–7998, 2018. [link]
Sampat, A., Martin, E., Martin, M., and Zavala, V.M. Technologies and Logistics for Phosphorus Recovery from Livestock Waste. Clean Technologies and Environmental Policy, pp.1-17, 2018. [link]
Hu, Y., Scarborough, M., Aguirre-Villegas, H., Larson, R.A., Noguera, D.R. and Zavala, V.M. A Supply Chain Framework for the Analysis of the Recovery of Biogas and Fatty Acids from Organic Waste. ACS Sustainable Chemistry and Engineering, 6 (5), pp. 6211–6222, 2018. [link]
Sampat, A., Ruiz-Mercado, G., and Zavala, V.M. Economic and Environmental Analysis for Advancing Sustainable Management of Livestock Waste: A Wisconsin Case Study. ACS Sustainable Chemistry and Engineering, 6 (5), pp. 6018–6031, 2018. [link]
Jalving, J. and Zavala, V.M. An Optimization-Based State Estimation Framework for Large-Scale Natural Gas Networks. Ind. & Eng. Chem. Res., 57 (17), pp 5966–5979, 2018. [link]
Martin, E., Sampat, A., Zavala, V.M., and Martin, M. Optimal Integrated Facility for Waste Processing. Chem. Eng. Res. & Design, 131, pp. 160-182, 2018. [link]
Dowling, A. W. and Zavala, V.M. A Decomposition Algorithm for Simultaneous Scheduling and Control of CSP Systems. AIChE Journal, 67(4), pp. 2408-2417, 2018. [link]
Curtis, F.E., Waechter, A., and Zavala, V. M. A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM Journal on Optimization, 28(1), pp. 930-958, 2018. [link]
Dowling, A.W. and Zavala, V.M. Economic Opportunities for Industrial Systems from Frequency Regulation Markets, Computers & Chemical Engineering, 114(9), pp. 254-264, 2017. [link]
Kumar, R., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. A Stochastic Model Predictive Control Framework for Stationary Battery Systems, IEEE Transactions on Power Systems, 33(4), pp. 4397-4406, 2018. [link]
Nicholson, B., Siirola, J., Watson, J.P., Zavala, V. M., and Biegler, L.T. pyomo.dae: A Modeling and Automatic Discretization Framework for Optimization with Differential and Algebraic Equations. Mathematical Programming Computation, 10(2), pp. 187-223, 2018. [link]
Fuentes-Cortes, L.F., Ponce-Ortega, J.M., and Zavala, V. M. Balancing Stakeholder Priorities in the Operation of Combined Heat and Power Systems. Applied Thermal Energy, 128, pp. 480-488, 2018. [link]
Renteria J.A., Cao, Y., Dowling, A. W. and Zavala, V.M. Optimal PID Controller Tuning using Stochastic Programming Techniques. AIChE Journal, 64(8), pp. 2997-3010, 2017. [link]
Sampat, A., Martin, E., Martin, M., and Zavala, V.M. Optimization Formulations for Multi-Product Supply-Chain Networks. Computers & Chemical Engineering, 104C, pp. 296-310, 2017. [link]
Sharara, M., Sampat, A., Good, L., Smith, A., Porter, P., Zavala, V.M., and Larson, R. Spatially explicit methodology for coordinated manure management in shared watersheds. Journal of Environmental Management, 192, pp. 48-56, 2017. [link]
Santos-Rodriguez, M., Flores-Tlacuahuac, A. and Zavala, V. M. A Stochastic Optimization Approach for the Design of Organic Fluid Mixtures for Low-Temperature Heat Recovery. Applied Energy, 198, pp. 145-159, 2017. [link]
Chiang, N., Huang, R. and Zavala, V. M. An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization. IEEE Transactions on Automatic Control, 62 (12), pp. 6110-6121, 2017. [link]
Yu, J., Zavala, V. M., and Anitescu, M. A Scalable Design of Experiments Framework for Sensor Placement. Journal of Process Control, In Press, 2017. [link]
Kim, K. and Zavala, V. M. Algorithmic Innovations and Software for the Dual Decomposition Method Applied to Stochastic Mixed-Integer Programs. Mathematical Programming Computation, 10(2), pp. 225–266, 2018. [link]
Fuentes-Cortes, L.F., Ma, Y., Ponce-Ortega, J.M., and Zavala, V. M. Valuation of Water and Emissions in Energy Systems. Applied Energy, 210, pp. 518-528, 2018. [link]
Jalving, J., Abhyankar, S., Kim, K., Hereld, M., Zavala, V. M. A Graph-Based Computational Framework for Simulation and Optimization of Coupled Infrastructure Networks. IET Generation, Transmission & Distribution, 11, pp. 3163-3176, 2017. [link]
Griffith, D., Zavala, V. M., and Biegler, L.T. Robustly Stable Economic NMPC for Non-Dissipative Stage Costs. Journal Of Process Control, 57, pp. 116-126, 2017. [link]
Cao, Y., Fuentes-Cortes, L.F., Chen, S., and Zavala, V. M. Scalable Modeling and Solution of Stochastic Multiobjective Optimization Problems. Computers & Chemical Engineering, 99, pp. 185-197, 2017. [link]
Dowling, A. W., Kumar, R., Zavala, V.M. A Multi-Scale Optimization Framework for Electricity Market Participation. Applied Energy, 190, pp. 147-164, 2017. [link]
Dowling, A. W., Zheng, T., and Zavala, V. M. Economic Assessment of Concentrated Solar Power Technologies: A Review. Renewable & Sustainable Energy Reviews, 72, pp. 1019-1032, 2017. [link]
Kim, K., Yang, F., Zavala, V. M., and Chien, A. A. Data Centers as Dispatchable Loads to Harness Stranded Power. 8(1), pp. 208-218, 2017. [link]
Zavala, V. M.; Kim, K. Anitescu, M. and Birge, J. A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Operations Research, 65(3), pp. 557-576, 2017. [link]
Dowling, A.W., Ruiz-Mercado, G. and Zavala, V. M. A Framework for Multi-stakeholder Decision-Making and Conflict Resolution. Computers & Chemical Engineering, 90, pp. 136 - 150, 2016. [link]
Petra, C.G., Zavala, V. M., Nino-Ruiz, E. and Anitescu, M. A High-Performance Computing Framework for Analyzing the Economic Impacts of Wind Correlation. Electric Power Systems Research, 141, pp. 372-380, 2016. [link]
Fuentes-Cortes, L.F., Dowling, A. W., Rubio,-Maya, C., Zavala, V. M., and Ponce-Ortega, J.M. Integrated Design and Control of Multigeneration Systems for Building Complexes. Energy, 116(2), pp. 1403-1416, 2016. [link]
Lopez-Cardenas, D.C., Wozny, G., Flores-Tlacuahuac, A., Vazquez-Medrano, R., and Zavala, V. M. A Computational Framework for Identifiability and Ill-Conditioning Analysis of Lithium-Ion Battery Models. IEC&R, 55 (11), pp. 3026–3042, 2016. [link]
Chiang, N. and Zavala, V. M. Large-Scale Optimal Control of Interconnected Natural Gas and Electrical Transmission Systems. Applied Energy, 168, pp. 226-235, 2016. [link]
Cao, Y.; Laird. C.D. and Zavala, V. M. Clustering-Based Preconditioning for Stochastic Programs. Computational Optimization and Applications, 64(2), pp. 379-406, 2016. [link]
Chiang, N. and Zavala, V. M. An Inertia-Free Filter Line-Search Algorithm for Large-Scale Nonlinear Programming. Computational Optimization and Applications, 64(2), pp. 327-354, 2016. [link]
Gangammanavar, H.; Sen, S. and Zavala, V. M. Stochastic Optimization of Sub-Hourly Economic Dispatch With Wind Energy. IEEE Transactions on Power Systems, 31(2), pp. 949-959, 2016. [link]
Morales, P.; Flores-Tlacuahuac, A. and Zavala, V. M. Analyzing the Effects of Comfort Relaxation on Energy Demand Flexibility of Buildings: A Multiobjective Optimization Approach. Energy & Buildings, 85, pp. 416-426, 2014.[link]
Burkhart, M. C.; Heo, Y. and Zavala, V. M. Measurement and Verification of Building Systems Under Uncertain Data: A Gaussian Process Modeling Approach. Energy & Buildings, 75, pp. 189-198, 2014. [link]
Zavala, V. M. Stochastic Optimal Control Model for Natural Gas Networks. Computers & Chemical Engineering, 64(1), pp. 103-113, 2014. [link]
Zavala, V. M. and Anitescu, M. Scalable Nonlinear Programming Via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. SIAM Journal on Optimization, 24(1), pp. 528-558, 2014. [link]
Zavala, V. M. Inference of Building Occupancy Signals Using Moving Horizon Estimation and Fourier Regularization. Journal of Process Control, 24(6), pp. 714-722, 2014. [link]
Salazar, J.M.; Diwekar, U.; Constantinescu, E.M. and Zavala, V. M. Stochastic Optimization Approach to Water Management in Cooling-Constrained Power Plants. Applied Energy, 112, pp. 12-22, 2013. [link]
Zavala, V. M. Real-Time Optimization Strategies for Building Systems. Ind.Eng.Chem.Res. 52(9), pp. 3137-3150, 2013. [link]
Heo, Y. and Zavala, V. M. Gaussian Process Modeling for Measurement and Verification of Building Energy Savings. Energy & Buildings, 53, pp.7-18, 2012. [link]
Zavala, V. M. and Flores-Tlacuahuac, A. Stability of Multiobjective Predictive Control: A Utopia-Tracking Approach. Automatica, 48(10), pp. 2627-2632, 2012. [link]
Zavala, V. M.; and Anitescu, M. Real-Time Nonlinear Optimization as a Generalized Equation. SIAM J. Control and Optimization, 48, pp. 5444-5454, 2010. [link]
Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; and Anitescu, M. A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment with Wind Power Generation. IEEE Transactions on Power Systems, 26(1), pp. 431-441, 2010. [link]
Zavala, V. M. Stability Analysis of an Approximate Scheme for Moving Horizon Estimation. Comp. Chem. Eng., 34(10), pp. 1662-1670, 2010. [link]
Zavala, V. M.; Constantinescu, E. M.; Krause, T.; and Anitescu, M. On-Line Economic Optimization of Energy Systems Using Weather Forecast Information. Journal of Process Control, 19(10), pp. 1725-1736, 2009. [link]
Zavala, V. M.; and Biegler, L.T. Optimization-Based Strategies for the Operation of Low-Density Polyethylene Tubular Reactors: Nonlinear Model Predictive Control. Comp. Chem. Eng., 33(10), pp. 1735-1746, 2009. [link]
Huang, R.; Zavala, V. M.; and Biegler, L.T. Advanced Step Nonlinear Model Predictive Control for Air Separation Units. Journal of Process Control, 19 (4), pp. 678-685, 2009. [link]
Biegler, L.T.; and Zavala V.M. Large-Scale Nonlinear Programming with IPOPT: An Integrating Framework for Enterprise-Wide Optimization. Comp.Chem.Eng. 33(3), pp. 575-582, 2009. [link]
Zavala, V. M.; and Biegler, L.T. Optimization-Based Strategies for the Operation of Low-Density Polyethylene Tubular Reactors: Moving Horizon Estimation. Comp.Chem.Eng. 33(1), pp. 379-390, 2009.[link]
Zavala, V. M.; and Biegler, L.T. The Advanced Step NMPC Controller: Optimality, Stability and Robustness. Automatica, 45(1), pp. 86-93, 2009. [link]
Zavala V.M.; Laird, C.D. and Biegler, L.T. A Fast Moving Horizon Estimation Algorithm Based on Nonlinear Programming Sensitivity. Journal of Process Control, 18 (9), pp. 876-884, 2008. [link]
Zavala, V. M.; Laird, C.D. and Biegler, L.T. Interior-Point Point Decomposition Approaches for Parallel Solution of Large-Scale Nonlinear Parameter Estimation Problems. Chem. Eng. Sci. 63 (19), pp. 4834-4845, 2008. [link]
Zavala, V. M.; Laird, C.D. and Biegler, L.T. Fast Implementations and Rigorous Models: Can Both be Accommodated in NMPC? Int. J. Robust Nonlinear Control. 18 (8), pp.800-815, 2008. [link]
Zavala, V. M. and Biegler, L.T. Large-Scale Parameter Estimation in Low-Density Polyethylene Tubular Reactors. Ind. Eng. Chem. Res. 45 (23), pp. 7867 -788, 2006. [link]
Zavala, V. M.; Flores-Tlacuahuac, A. and Vivaldo-Lima, E. The Bifurcation Behavior of a Polyurethane Continuous Stirred Tank Reactor. Chem. Eng. Sci. 61 (22), pp. 7368-7385, 2006. [link]
Zavala, V. M.; Flores-Tlacuahuac, A. and Vivaldo-Lima, E. Dynamic Optimization of a Semi-Batch Reactor for Polyurethane Production. Chem. Eng. Sci. 60 (11), pp. 3061-3079, 2005. [link]
Flores-Tlacuahuac, A.; Zavala, V. M. and Saldivar-Guerra E. Complex Nonlinear Behavior in the Full-Scale High-Impact Polystyrene Process. Ind.Eng.Chem. Res. 44 (8), pp. 2802-2814, 2005. [link]