Search results for: Matthew J. Realff

Items from 1 to 20 out of 53 results

article

Analysis of energetics and economics of sub‐ambient hybrid post‐combustion carbon dioxide capture

Stephen J. A. DeWitt, Rohan Awati, Héctor Octavio Rubiera Landa, Jongwoo Park, more

Adsorption of CO₂ from post‐combustion flue gas is one of the leading candidates for globally impactful carbon capture systems. This work focused on understanding the opportunities and limitations of sub‐ambient CO₂ capture processes utilizing a multistage separation process. A hybrid process design using a combination of pressure‐driven separation of CO₂ from flue gas (e.g., adsorption‐ or membrane‐based...

article

Lifecycle greenhouse gas emissions for an ethanol production process based on genetically modified cyanobacteria: CO₂ sourcing options

Pratham Arora, Ronald R. Chance, Teresa Fishbeck, Howard Hendrix, more

Biofuels, Bioproducts and Biorefining > 14 > 6 > 1324 - 1334

Algal biofuel production requires CO₂, electricity, and process heat. Previous studies assumed CO₂ sourcing from nearby coal or natural gas power plants. This may not be viable at a large scale or for the long term. The diurnal algal growth cycle imposes additional system design challenges for CO₂ delivery. For ethanol produced by cyanobacteria in photobioreactors, we design onsite systems that provide...

article

Techno‐economic analysis of 1,4‐butanediol production by a single‐step bioconversion process

Chinmay C. Satam, Manuel Daub, Matthew J. Realff

Biofuels, Bioproducts and Biorefining > 13 > 5 > 1261 - 1273

1,4‐Butanediol (1,4‐BDO) is one of the most important intermediate chemicals that is mainly produced using petrochemical routes. Recently, the route to 1,4‐BDO from corn‐based dextrose by single‐step bioconversion has been commercialized. This paper analyzes the bio‐based production route to 1,4‐BDO and establishes the major capital and operating costs associated with production. Bioconversion was...

article

A parametric study of the techno‐economics of direct CO₂ air capture systems using solid adsorbents

Anshuman Sinha, Matthew J. Realff

AIChE Journal > 65 > 7 > n/a - n/a

Direct air capture (DAC) can help in reduction of atmospheric CO₂ levels by capturing CO₂ from disperse emission sources. We analyze DAC process through solid adsorbent and perform comprehensive energy and techno‐economic analysis for different parametric scenarios. The parameters are varied such that it reflects list of possible cases of DAC solid adsorbent systems ranging from worst case to best...

article

Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty

Joohyun Shin, Jay H. Lee, Matthew J. Realff

Applied Energy > 2017 > 195 > C > 616-633

Distributed and on-site energy generation and distribution systems employing renewable energy sources and energy storage devices (referred to as microgrids) have been proposed as a new design approach to meet our energy needs more reliably and with lower carbon footprint. Management of such a system is a multi-scale decision-making problem encompassing hourly dispatch, daily unit commitment (UC),...

article

Applying Direct Yellow 11 to a modified Simons’ staining assay

Thomas T. Kwok, David N. Fogg, Matthew J. Realff, Andreas S. Bommarius

Cellulose > 2017 > 24 > 6 > 2367-2373

For quantification of overall fiber accessibility of lignocellulosic substrates, Direct Yellow 11 (C.I. 40000) is a suitable alternative to the discontinued Pylam Products’ dye Direct Orange 15 (C.I. 40002/40003). In this study we present a side-by-side comparison between the two azo-stilbene dyes. We characterize individual dye fractions and provide equations to determine individual concentrations...

chapter

Stochastic optimization with value function approximation for micro-grid operation

Joohyun Shin, Jay H. Lee, Matthew J. Realff

2016 IEEE 55th Conference on Decision and Control (CDC) > 7099 - 7104

2016 IEEE 55th Conference on Decision and Control (CDC)

Operational planning of a small and isolated energy system having a large wind farm and a battery storage device is studied. Operational planning decisions are to be made in two time-scales: daily unit commitment (UC) and hourly dispatch. For this problem, Markov decision process (MDP) and stochastic programming (SP) are combined to account for both daily and hourly changes of wind uncertainty. Two...

article

Uncertainty quantification via bayesian inference using sequential monte carlo methods for CO₂ adsorption process

Jayashree Kalyanaraman, Yoshiaki Kawajiri, Ryan P. Lively, Matthew J. Realff

AIChE Journal > 62 > 9 > 3352 - 3368

This work presents the uncertainty quantification, which includes parametric inference along with uncertainty propagation, for CO₂ adsorption in a hollow fiber sorbent, a complex dynamic chemical process. Parametric inference via Bayesian approach is performed using Sequential Monte Carlo, a completely parallel algorithm, and the predictions are obtained by propagating the posterior distribution through...

chapter

A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity

Tiravat Assavapokee, Matthew J. Realff, Jane C. Ammons

Springer Optimization and Its Applications > Optimization and Logistics Challenges in the Enterprise > Process Industry > 145-174

Summary This chapter presents a relative robust optimization algorithm for two-stage decision making under uncertainty (ambiguity) where the structure of the first-stage problem is a mixed integer linear programming model and the structure of the second-stage problem is a linear programming model. In the structure of the considered problem, each uncertain parameter can take its value from a finite...

article

Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents

Jayashree Kalyanaraman, Yanfang Fan, Ying Labreche, Ryan P. Lively, more

Computers & Chemical Engineering > 2015 > 81 > C > 376-388

Uncertainty quantification plays a significant role in establishing reliability of mathematical models, while applying to process optimization or technology feasibility studies. Uncertainties, in general, could occur either in mathematical model or in model parameters. In this work, process of CO₂ adsorption on amine sorbents, which are loaded in hollow fibers is studied to quantify the impact of...

article

Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests

Kevin Yeh, Craig Whittaker, Matthew J. Realff, Jay H. Lee

Computers and Chemical Engineering > 2015 > 73 > Complete > 141-153

This work studies the supply allocation problem, using a Stackelberg game, for an established timberlands supply chain with an additional decision of new biorefinery investments. In a timberlands system, harvester and manufacturer decision makers have separate objectives to maximize their respective profits. This interaction is represented with a turn based Stackelberg game. The harvesters decide...

article

Modeling and experimental validation of carbon dioxide sorption on hollow fibers loaded with silica-supported poly(ethylenimine)

Jayashree Kalyanaraman, Yanfang Fan, Ryan P. Lively, William J. Koros, more

Chemical Engineering Journal > 2015 > 259 > C > 737-751

A mathematical model is developed for carbon dioxide adsorption on hollow fiber post infused with physically impregnated poly(ethylenimine) silica sorbent. The model includes detailed mass transfer mechanisms and is rigorously validated under different operating conditions of flue gas flow rate, number of fibers within the module, fiber length and particle size. A fundamental model formulation for...

article

Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics

Dexin Luo, Matthew J. Realff, Valerie M. Thomas

Computers & Chemical Engineering > 2014 > 71 > C > 141-153

Traditional capacity sizing models based on production cost minimization do not consider the impact of facility construction and start-up time scale on the profitability of plant. For production facilities that link substantially different scales, such as biofuel production facilities that connect large numbers of small bioreactors to large scale processing equipment, the ramp-up to full production...

article

Protein engineering of cellulases

Andreas S Bommarius, Minjeong Sohn, Yuzhi Kang, Jay H Lee, more

Current Opinion in Biotechnology > 2014 > 29 > Complete > 139-145

This review covers the topic of protein engineering of cellulases, mostly after 2009. Two major trends that are identified in this work are: first, the increased importance of results from computational protein engineering to drive ideas in the field, as experimental ideas and results often are still scarce, and, second, the further development of helper proteins for cellulose hydrolysis, such as...

article

Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility

Kevin Yeh, Matthew J. Realff, Jay H. Lee, Craig Whittaker

Computers and Chemical Engineering > 2014 > 68 > Complete > 242-254

This research investigates the economic impact of a new biorefinery on an established timberlands system. This paper proposes that a single level model does not adequately represent the interactions in the supply chain. The timberlands system has two major decision makers: harvesters and manufacturers. Bilevel models are two-level turn-based models with each level representing a decision maker. The...

article

MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces

Rakshita Agrawal, Matthew J. Realff, Jay H. Lee

Computers and Chemical Engineering > 2013 > 56 > Complete > 101-113

Partially observed Markov decision processes (POMDPs) serve as powerful tools to model stochastic systems with partial state information. Since the exact solution methods for POMDPs are limited to problems with very small sizes of state, action and observation spaces, approximate point-based solution methods like PERSEUS have gained popularity. In this work, a mixed integer linear program (MILP) is...

article

The Design of a Sustainability Assessment Standard Using Life Cycle Information

Di Lu, Matthew J. Realff

Journal of Industrial Ecology > 17 > 4 > 493 - 503

Sustainability assessment standards are currently being developed for a range of building products. This activity has been stimulated through the considerable success of the U.S. Green Building Council's (USGBC) LEED™ standard. Transparent life cycle–based standards can guide manufacturers to design products that have reduced environmental impact. The use of a sustainability standard can certify performance...

article

Design and simulation of an organosolv process for bioethanol production

Jesse Kautto, Matthew J. Realff, Arthur J. Ragauskas

Biomass Conversion and Biorefinery > 2013 > 3 > 3 > 199-212

Organosolv pulping can be used as a pretreatment step in bioethanol production. In addition to ethanol, organosolv pulping allows for the production of a pure lignin product and other co-products. Based on publicly available information, conceptual process design and simulation model were developed for an organosolv process. The simulation model was used to calculate the mass and energy balances and...

article

A high-flux polyimide hollow fiber membrane to minimize footprint and energy penalty for CO2 recovery from flue gas

Ryan P. Lively, Michelle E. Dose, Liren Xu, Justin T. Vaughn, more

Journal of Membrane Science > 2012 > 423-424 > Complete > 302-313

Using a process-guided approach, a new 6FDA-based polyimide — 6FDA–DAM:DABA(4:1) — has been developed in the form of hollow fiber membranes for CO ₂ recovery from post-combustion flue gas streams. Dense film studies on this polymer reveal a CO ₂ permeability of 224 Barrers at 40°C at a CO ₂ feed pressure of 10psia. The dense films exhibit an ideal CO ₂ /N ₂ ...

article

On defect propagation in multi-machine stochastically deteriorating systems with incomplete information

Rakshita Agrawal, Matthew J. Realff, Jay H. Lee

Journal of Process Control > 2012 > 22 > 8 > 1478-1489

In many manufacturing environments, costly job inspection provides information about the random deterioration of the machines. The resulting maintenance and inspection problem is extensively studied for a single machine system by using the framework of Partially Observable Markov Decision Processes (POMDPs). In this work, this concept is extended to multiple operations and multiple job types by considering...

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INFONA - science communication portal

Search results for: Matthew J. Realff

Analysis of energetics and economics of sub‐ambient hybrid post‐combustion carbon dioxide capture

Lifecycle greenhouse gas emissions for an ethanol production process based on genetically modified cyanobacteria: CO₂ sourcing options

Techno‐economic analysis of 1,4‐butanediol production by a single‐step bioconversion process

A parametric study of the techno‐economics of direct CO₂ air capture systems using solid adsorbents

Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty

Applying Direct Yellow 11 to a modified Simons’ staining assay

Stochastic optimization with value function approximation for micro-grid operation

Uncertainty quantification via bayesian inference using sequential monte carlo methods for CO₂ adsorption process

A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity

Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents

Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests

Modeling and experimental validation of carbon dioxide sorption on hollow fibers loaded with silica-supported poly(ethylenimine)

Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics

Protein engineering of cellulases

Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility

MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces

The Design of a Sustainability Assessment Standard Using Life Cycle Information

Design and simulation of an organosolv process for bioethanol production

A high-flux polyimide hollow fiber membrane to minimize footprint and energy penalty for CO2 recovery from flue gas

On defect propagation in multi-machine stochastically deteriorating systems with incomplete information

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