Article
Energy & Fuels
Yuntian Ge, Lin Li, Lingxiang Yun
Summary: Cellulosic biofuel is seen as a promising alternative to fossil fuels, but its commercialization has been hindered by high costs in the supply chain, particularly in manufacturing. This paper introduces a new model for optimizing the cellulosic biofuel supply chain, showcasing significant cost reductions and highlighting the importance of factors such as refinery construction cost and biofuel throughput in supply chain design.
Article
Green & Sustainable Science & Technology
Mohammadamin Zarei, Mohammad H. Shams, Haider Niaz, Wangyun Won, Chul-Jin Lee, J. Jay Liu
Summary: This study proposes a multi-stage stochastic program for strategic and tactical planning in multi-feedstock biofuel supply chain networks. The results show that considering risk can increase biofuel production cost, and biomass transportation is the most affected part of the supply chain.
Article
Management
Wei Feng, Yiping Feng, Qi Zhang
Summary: This study addresses multistage robust mixed-integer optimization with decision-dependent uncertainty sets, proposing a framework that allows consideration of both continuous and integer recourse. By leveraging recent advances in constructing nonlinear decision rules and introducing discontinuous piecewise linear decision rules for continuous recourse, the authors derive a tractable reformulation of the problem. Computational experiments show that properly modeling endogenous uncertainty and mixed-integer recourse can significantly reduce the conservatism in the solution.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Energy & Fuels
Tasmin Hossain, Daniela Jones, Damon Hartley, L. Michael Griffel, Yingqian Lin, Pralhad Burli, David N. Thompson, Matthew Langholtz, Maggie Davis, Craig Brandt
Summary: The sustainability of the biofuel industry in the US depends on developing mature conversion technology and planning appropriate conversion plants and logistics systems to transform biomass resources into biofuels. Large-scale production of cellulosic biofuels is crucial for future sustainability.
Article
Computer Science, Interdisciplinary Applications
Eric G. O'Neill, Rafael A. Martinez-Feria, Bruno Basso, Christos T. Maravelias
Summary: This paper proposes an integrated stochastic mixed-integer linear programming model for optimizing biofuel supply chain and landscape design. The model takes into account the interactions between uncertainty, spatial variability, and environmental impact. It provides solutions for finding supply chain configurations that can better handle uncertain biomass yields, and presents an approach for collecting and processing real-world data. A case study located in Michigan, USA demonstrates the capabilities of the model.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Biswajit Sarkar, Bablu Mridha, Sarla Pareek, Mitali Sarkar, Lakshmi Thangavelu
Summary: This paper proposes an optimization model for planning a sustainable biomass-to-bioenergy supply chain network, which investigates various factors such as crop residuals, transportation, biorefineries, biogas plants, and market centers, while considering costs, carbon emissions, and production capacity in the model. The study reveals that the cost of bioenergy production accounts for 54.12% of the total cost, transportation is the major contributor to carbon emissions, and implementing a multi-setup-delivery-multi-delivery policy can reduce the overall supply chain cost.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Xuehao Feng, Rui Song, Wenwei Yin, Xiaowei Yin, Ruiyou Zhang
Summary: This study investigates a bulk cargo distribution problem in a multimodal transportation network considering both the transportation modes of inland waterways and containerization technology. A mixed-integer linear programming model is developed to optimize transportation mode selection, vehicle routing, depot selection, and cargo quantity for containerization. Numerical experiments based on the Yangtze River network show that containerization transportation can decrease total transportation costs. The study provides insight into the decision making of logistics companies and government policymaking.
Article
Biotechnology & Applied Microbiology
Bingquan Zhang, Changqiang Guo, Tao Lin, Andre P. C. Faaij
Summary: This study developed a three-step optimization approach to economically optimize the biofuel supply chain while considering environmental factors such as greenhouse gas emissions and soil organic carbon. A case study was conducted to demonstrate the impact of biomass availability and procurement costs on the supply chain layout. The study also highlighted the potential of biofuels at certain cost levels and the decreasing GHG emission credit from the gasification-FT process with a higher share of renewable electricity generation.
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2022)
Article
Agronomy
Juan P. Sesmero, Nathanial U. Trull, Benjamin M. Gramig
Summary: The study shows that including switchgrass in the feedstock mix of a biofuel plant can reduce production costs, decrease carbon footprint, and not displace food crops. However, high transaction costs and farmers' reluctance to grow switchgrass on marginal land may hinder its inclusion in the feedstock mix.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2021)
Article
Mathematics
Hongbin Liu, Guopeng Song, Tianyu Liu, Bo Guo
Summary: This study presents a two-layer solution method for emergency logistics planning in a multimodal traffic network. The inner layer focuses on single-task route recommendation, while the outer layer coordinates the execution of multiple tasks and solves the multi-commodity emergency logistics problem. Extensive computational results and sensitivity analysis demonstrate the effectiveness and practicality of the proposed approach.
Article
Green & Sustainable Science & Technology
Hossein Savoji, Seyed Meysam Mousavi, Jurgita Antucheviciene, Miroslavas Pavlovskis
Summary: This paper presents a new mathematical model aiming to minimize CO2 emission and total costs in the biofuel supply chain, creating a green supply chain network. Uncertain data regarding CO2 emission and biofuel demand were addressed using a robust possibilistic programming approach. The applicability and performance of the model were demonstrated based on an experimental example.
Article
Economics
Yue Zu, Ruhollah Heydari, Kiran Chahar, Yudi Pranoto, Clark Cheng
Summary: This article presents a novel solution called Pre-blocking through Re-waybilling to minimize railcar cuts in freight railways by re-assigning empty railcars to customers, while considering supply, demand, and feasibility constraints.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Computer Science, Software Engineering
Xian Yu, Siqian Shen
Summary: In this study, we investigate multistage distributionally robust mixed-integer programs with endogenous uncertainty. We propose two ambiguity sets based on decision-dependent bounds and empirical moments. We show that the subproblems in each stage can be formulated as mixed-integer linear programs. Additionally, we extend the moment-based ambiguity set and derive mixed-integer semidefinite programming reformulations. We develop methods to approximate the optimal objective value and solve the problem using the Stochastic Dual Dynamic integer Programming (SDDiP) method. Numerical experiments demonstrate the effectiveness of the proposed approach in solving multistage facility-location problems with decision-dependent distributional ambiguity.
MATHEMATICAL PROGRAMMING
(2022)
Article
Management
Maryam Daryalal, Merve Bodur, James R. Luedtke
Summary: This study introduces Lagrangian dual decision rules (LDDRs) for multistage stochastic mixed-integer programming (MSMIP), which overcome the difficulty of applying decision rules to problems with integer decisions. Two new bounding techniques based on stagewise and nonanticipative Lagrangian duals are proposed, and their effectiveness is demonstrated through numerical experiments.
OPERATIONS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Hans Georg Bock, Dominik H. Cebulla, Christian Kirches, Andreas Potschka
Summary: The study focuses on optimizing multimodal chromatography processes using a recent mechanistic model and mathematical framework, and finds that good separation can be achieved in a two-component system, with both salt concentration and discrete pH playing important roles in the purification process.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Shasha Wang, Harsha Gangammanavar, Sandra D. Eksioglu, Scott J. Mason
IEEE TRANSACTIONS ON SMART GRID
(2019)
Article
Engineering, Industrial
Hadi Karimi, Sandra Duni Eksioglu, Amin Khademi
Article
Engineering, Industrial
Gokce Palak, Sandra Duni Eksioglu, Joseph Geunes
Article
Economics
Fei Xie, Yongxi Huang
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2018)
Article
Economics
Fei Xie, Changzheng Liu, Shengyin Li, Zhenhong Lin, Yongxi Huang
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2018)
Article
Computer Science, Interdisciplinary Applications
Zahra Azadi, Sandra D. Eksioglu, Burak Eksioglu, Gokce Palak
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Operations Research & Management Science
Zahra Azadi, Harsha Gangammanavar, Sandra Eksioglu
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Operations Research & Management Science
Hadi Karimi, Sandra D. Eksioglu, Michael Carbajales-Dale
Summary: This study proposes a stochastic biobjective optimization model to analyze the economic and environmental impacts of biofuel power supply chains, using a life cycle assessment approach to derive emission factors and chance constraints to capture biomass energy content uncertainty. A cutting plane algorithm with sample average approximation method is used to model chance constraints and find high confidence feasible solutions, showing that it provides local Pareto optimal solutions with high confidence and reasonable computational time.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Operations Research & Management Science
Site Wang, Harsha Gangammanavar, Sandra Eksioglu, Scott J. Mason
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Operations Research & Management Science
Mario Aboytes-Ojeda, Krystel K. Castillo-Villar, Sandra D. Eksioglu
Summary: The production of biofuels is a feasible alternative to fossil fuel production. By optimizing the inbound delivery of biomass through a stochastic programming model, the costs of biofuel production can be minimized. A novel hub-and-spoke network is proposed to minimize the impact of poor biomass quality. Numerical results show the significant influence of biomass quality on network design and cost. The proposed L-shaped with connectivity constraints approach outperforms the benchmark method in terms of solution quality and computational effort.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Amin Khademi, Sandra Eksioglu
Summary: Several studies have shown that biomass cofiring can be a viable short-term option for coal-fired power plants to reduce emissions when supported by appropriate tax incentives. An optimal tax credit strategy for biomass-rich regions is proposed and solved through a Stackelberg/Nash game with a mixed-integer bilinear program formulation. A case study using real data from Mississippi and Arkansas compares the optimal tax credit schemes and provides insights on efficient tax credit mechanisms.
Article
Agricultural Engineering
Yuan Guo, Qiushi Chen, Yidong Xia, Tyler Westover, Sandra Eksioglu, Mohammad Roni
BIOMASS & BIOENERGY
(2020)
Article
Operations Research & Management Science
Amogh Bhosekar, Sandra Eksioglu, Tugce Isik, Robert Allen
Summary: Inventory management and material handling decisions significantly impact the service levels and costs of hospitals and operating rooms. Coordinating these decisions can improve service levels, and delivering surgical instruments on time for short-duration surgeries can reduce inventory levels.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Sandra D. Eksioglu, Berkay Gulcan, Mohammad Roni, Scott Mason
Summary: In this study, a model is proposed to optimize the thermochemical conversion process by blending biomass materials and adjusting the quality of feedstock. The model takes into account the stochastic nature of biomass quality and ensures that process requirements are met most of the time. Results show that the identified blends consist mainly of pine and softwood residues, with the cost of the centralized supply chain being 2%-6% lower than the decentralized supply chain.
NAVAL RESEARCH LOGISTICS
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Mowen Lu, Harsha Nagarajan, Russell Bent, Sandra D. Eksioglu, Scott J. Mason
2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC)
(2018)
Article
Agricultural Engineering
Yinping Xiang, Meiying Jia, Rui Xu, Jialu Xu, Lele He, Haihao Peng, Weimin Sun, Dongbo Wang, Weiping Xiong, Zhaohui Yang
Summary: This study investigated the impact of the non-antibiotic pharmaceutical carbamazepine on antibiotic resistance genes (ARGs) during anaerobic digestion. The results showed that carbamazepine induced the enrichment of ARGs and increased the abundance of bacteria carrying these genes. It also facilitated microbial aggregation and intercellular communication, leading to an increased frequency of ARGs transmission. Moreover, carbamazepine promoted the acquisition of ARGs by pathogens and elevated their overall abundance.
BIORESOURCE TECHNOLOGY
(2024)
Review
Agricultural Engineering
Weixin Zhao, Tianyi Hu, Hao Ma, Dan Li, Qingliang Zhao, Junqiu Jiang, Liangliang Wei
Summary: This review summarizes the effects and potential mechanisms of biochar on microbial behavior in AD systems. The addition of biochar has been found to promote microbial colonization, alleviate stress, provide nutrients, and enhance enzyme activity. Future research directions include targeted design of biochar, in-depth study of microbial mechanisms, and improved models.
BIORESOURCE TECHNOLOGY
(2024)
Review
Agricultural Engineering
Christina Karmann, Anna Magrova, Pavel Jenicek, Jan Bartacek, Vojtech Kouba
Summary: This review assesses nitrogen removal technologies in reject water treatment, highlighting the differences in environmental impacts and economic benefits. Partial nitritation-anammox shows potential for economic benefits and positive environmental outcomes when operated and controlled properly.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Wei-Hao Huang, Ying-Ju Chang, Duu-Jong Lee
Summary: This study modified pinecone biochar with layered double hydroxide (LDH) to enhance its adsorption capacity for heavy metal and phosphate ions. The LDH-biochar showed significantly improved adsorption capacities for Pb2+ and phosphate, and a slight increase for Cu2+ and Co2+. The LDH layer enhanced the adsorption through various mechanisms.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Chao Song, Fanfan Cai, Shuang Yang, Ligong Wang, Guangqing Liu, Chang Chen
Summary: This paper developed a machine learning model to predict the biochemical methane potential during anaerobic digestion. Model analysis identified lignin content, organic loading, and nitrogen content as key attributes for methane production prediction. For feedstocks with high cellulose content, early methane production is lower but can be improved by prolonging digestion time. Moreover, lignin content exceeding a certain value significantly inhibits methane production.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Sang Min Lee, Ju Young Lee, Ji-Sook Hahn, Seung-Ho Baek
Summary: This study successfully developed an efficient platform strain using Yarrowia lipolytica for the bioconversion of renewable resources into adipic acid, achieving a remarkable increase in production level.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Sefkan Kendir, Matthias Franzreb
Summary: This study presents a novel approach using magnetic separation to efficiently harvest freshwater microalgae, Chlorella vulgaris. By combining pH-induced calcium phosphate precipitation with cheap natural magnetite microparticles, harvesting efficiencies up to 98% were achieved in the model medium.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Ishaq Kariim, Ji-Yeon Park, Wajahat Waheed Kazmi, Hulda Swai, In-Gu Lee, Thomas Kivevele
Summary: The impact of reaction temperature, residence time, and ethanol: acetone on the energy compositions and yield enhancement of biocrudes was investigated. The results showed that under appropriate conditions, biocrudes with high energy and low oxygen content can be obtained, indicating a high potential for utilization.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Xiyue Zhang, Xiyao Li, Liang Zhang, Yongzhen Peng
Summary: Intermittent aeration is an innovative approach to enhance nitrogen removal in low carbon-to-nitrogen ratio municipal sewage, providing an efficient strategy for the continuous plug-flow AOA process.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Xu Yang, Mahmoud Mazarji, Mengtong Li, Aohua Li, Ronghua Li, Zengqiang Zhang, Junting Pan
Summary: This study investigated the impact of magnetite on the nitrogen cycle of pig manure biostabilisation. The addition of magnetite increased N2O emissions and decreased NH3 emissions during composting. It also increased the total nitrogen content but should be considered for its significant increase in N2O emissions in engineering practice.
BIORESOURCE TECHNOLOGY
(2024)
Review
Agricultural Engineering
Ty Shitanaka, Haylee Fujioka, Muzammil Khan, Manpreet Kaur, Zhi-Yan Du, Samir Kumar Khanal
Summary: The market value of microalgae has exponentially increased in the past two decades, thanks to their applications in various industries. However, the supply of high-value microalgal bioproducts is limited due to several factors, and strategies are being explored to overcome these limitations and improve microalgae production, thus increasing the availability of algal-derived bioproducts in the market.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Martin Kerner, Thorsten Wolff, Torsten Brinkmann
Summary: The efficiency of using enriched CO2 from flue gas for large-scale production of green microalgae has been studied. The results show that the use of membrane devices and static mixers can effectively improve the CO2 recovery rate and maintain the suitable pH and temperature during cultivation, achieving a more economical and sustainable microalgae production.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Rui Ma, Ji Li, Rd Tyagi, Xiaolei Zhang
Summary: This review summarizes the microorganisms capable of using CO2 and CH4 to produce PHAs, illustrating the production process, factors influencing it, and discussing optimization techniques. It identifies the challenges and future prospects for developing economically viable PHAs production using GHGs as a carbon source.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Bing Wang, Peng Zhang, Xu Guo, Xu Bao, Junjie Tian, Guomin Li, Jian Zhang
Summary: The addition of zeolite in the co-composting of chicken manure and straw significantly reduced the emissions of ammonia and N2O, and increased the nitrate content. Zeolite also promoted the abundance of nitrification genes and inhibited the expression of denitrification genes.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Rohit Dey, Franziska Ortiz Tena, Song Wang, Josef Martin Messmann, Christian Steinweg, Claudia Thomsen, Clemens Posten, Stefan Leu, Matthias S. Ullrich, Laurenz Thomsen
Summary: This study investigated the operation of a 1000L microalgae-based membrane photobioreactor system for continuous secondary wastewater treatment. The research focused on a green microalgae strain called Desmodesmus sp. The study aimed to understand key trends and optimization strategies by conducting experiments in both summer and winter seasons. The findings showed that maintaining low cell concentrations during periods of light inhibition was beneficial for nutrient uptake rates. Effective strategies for enhancing algae-based wastewater treatment included cell mass recycling and adjusting dilution rates based on light availability.
BIORESOURCE TECHNOLOGY
(2024)
