Article
Green & Sustainable Science & Technology
Flavia Basile, Lorenzo Pilotti, Marco Ugolini, Giovanni Lozza, Giampaolo Manzolini
Summary: This paper applies an innovative optimization methodology to study the supply chain of biomethanol production in Sweden. The research considers the collection and transportation of biomass as well as the size of the biorefinery plant. The results show that the size of the biodiesel plants limits the collection of forestry residues. The study also finds that the low carbon intensity of Swedish electricity contributes to the low CO2 emissions of biomethanol.
Article
Energy & Fuels
Ignacio Vitale, Rodolfo G. Dondo, Matias Gonzalez, Mariana E. Coccola
Summary: In order to reduce the use of fossil fuels, forest residues and wood waste are considered as alternative sources of energy. However, the high logistics costs pose as a major barrier in utilizing these materials for bioenergy and biofuels production. This paper investigates the optimization of all logistics activities in the supply chain, aiming to minimize the total operative cost and determine the minimum profitable selling price of the produced wood pellets.
Review
Agricultural Engineering
Nibal T. Albashabsheh, Jessica L. Heier Stamm
Summary: This paper reviews literature on modeling and optimization studies of lignocellulosic biomass supply chains with densification processes, finding that baling is the most studied technique and optimization modeling is the most common analysis method. While pelleting and pyrolysis achieve higher density than baling, their role in the overall supply chain has been comparatively less studied. Future research opportunities include integrating mobile densification and introducing comprehensive biomass-to-biofuel supply chain optimization models.
BIOMASS & BIOENERGY
(2021)
Article
Energy & Fuels
Nicolas Gartland, Jeroen Pruyn
Summary: The design and preliminary estimations of biomass supply chains are crucial for matching energy supply to demand. This study developed a Mixed Integer Linear Programming model to analyze biofuel supply chains in Europe, assessing the feasibility and implementation potential of new marine fuels. The results showed a 72% reduction in greenhouse gas emissions compared to fossil fuels, with production costs ranging from 22-36 euro/GJ.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Mario Aboytes-Ojeda, Krystel K. Castillo-Villar, Yajaira Cardona-Valdes
Summary: The design of a biofuel supply chain network involves multiple uncertainties. This study proposes a bi-objective two-stage stochastic optimization model that considers the expected total cost and the CVaR as objective functions. A hybrid method based on a Simulated Annealing algorithm and the augmented epsilon-constraint method is developed to solve the problem, and it is tested using a realistic large-scale case study.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Energy & Fuels
Olli-Jussi Korpinen, Mika Aalto, K. C. Raghu, Timo Tokola, Tapio Ranta
Summary: In this paper, we reviewed 94 publications that focused on analyzing and optimizing energy biomass supply chains using spatial data. The study found that there has been an increase in the use of geographical information systems in this field, along with a diversity of methods, objectives, and data sources. However, case studies with spatial data from multiple countries were scarce in the reviewed papers. The paper also calls for the development of a standard way of reporting geographical contents to improve the comprehension and reproducibility of research in this field.
Article
Energy & Fuels
Fragkoulis Psathas, Paraskevas N. Georgiou, Athanasios Rentizelas
Summary: When designing biomass-to-biofuel supply chains, it is important to consider the uncertainty, seasonality, and geographical dispersion of biomass. This study presents a novel methodology that optimizes the design of biofuel supply chains using a decentralized network structure. The model takes into account variable biomass yield profiles and mobile fast pyrolysis technology. The results of a case study in Scotland revealed that storage capacity plays a crucial role in expanding the operational time window of processing facilities, while relocation costs have a minor impact on transportation costs.
Article
Green & Sustainable Science & Technology
Hatice Gunes Yildiz, Berk Ayvaz, Ali Osman Kusakci, Muhammet Deveci, Harish Garg
Summary: In recent years, population growth and lifestyle changes have led to an increase in global energy consumption. Providing energy from fossil fuels has negative consequences, such as supply constraints and greenhouse gas emissions. To reduce reliance on fossil fuels and pollution, renewable energy sources, including biomass, are crucial. This study proposes a multi-objective goal programming model to optimize a sustainable biomass-based renewable energy supply chain network design, with a focus on economic, environmental, and social performance.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Management
Er Raqabi El Mehdi, Himmich Ilyas, Nizar El Hachemi, Issmail El Hallaoui, Soumis Francois
Summary: This paper proposes a multiobjective, mixed-integer linear programming (MILP) model that integrates production scheduling, inventory management, and vessel assignment for a global supply chain. By conducting an exploratory analysis and designing a novel variant of the large neighborhood search metaheuristic, the implemented algorithm provides efficient solutions to large-scale, NP-hard problems in real-world instances.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Operations Research & Management Science
Qiaofeng Li, Halit Uster, Zhi-Hai Zhang
Summary: This paper introduces a bilevel design and pricing model to address the integrated biomass pricing and logistics network design problem. The model captures the dynamic decision process between a biofuel producer and farmers and incorporates unique characteristics such as harvesting time and frequency decisions and uncertainty in switchgrass yield. To solve the model efficiently, a Benders decomposition algorithm enhanced by surrogate constraints, strengthened Benders cuts, and in-out cut loop stabilization is proposed. The numerical experiments demonstrate the superiority of the proposed algorithm. A case study is conducted with real data from Texas to validate the capabilities of the model and solution approach, and significant insights are explored based on extensive experiments.
TRANSPORTATION SCIENCE
(2023)
Article
Energy & Fuels
Kolton Keith, Krystel K. Castillo-Villar
Summary: Biomass is abundant and can be converted into bio-oil, biochar, and syngas through pyrolysis. This study proposes a two-stage stochastic model that designs an efficient biomass supply chain considering the trade-offs between pyrolysis byproducts. The quality of biomass directly affects production yield and total cost.
Review
Green & Sustainable Science & Technology
Shirleen Lee Yuen Lo, Bing Shen How, Wei Dong Leong, Sin Yong Teng, Muhammad Akbar Rhamdhani, Jaka Sunarso
Summary: Given the increasing risk of climate change and depletion of non-renewable energy sources, biomass has become one of the most attractive alternatives for energy production worldwide. Comprehensive techno-economic analysis is essential to attract more investment in biomass-based industries, while considering uncertainties such as biomass availability, demand variation, and material price fluctuation in evaluation for more accurate feasibility estimation. The review paper provides an overview of different feasibility evaluation methods for biomass-based industries and discusses the importance of incorporating supply chain uncertainties into the evaluation model, using a Malaysian case study to illustrate the impact.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Industrial
Zoe Krug, Romain Guillaume, Olga Battaia
Summary: Implementing reverse supply chains (RSC) can bring benefits such as reducing pollution and creating new jobs, but it also comes with risks and unpredictable outcomes. This paper presents a model to help managers evaluate risks and opportunities, while maximizing total network profit when managing the reverse flow of end-of-life products in an existing supply chain. The decision-making process incorporates uncertainty and criteria to select the final solution.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Agricultural Engineering
Moheb Mottaghi, Samira Bairamzadeh, Mir Saman Pishvaee
Summary: This paper reviews the modeling and optimization of sustainable biomass supply chains, evaluating economic, environmental, and social sustainability. Through the classification and analysis of 178 relevant papers, factors such as sustainability dimensions, decision levels, and modeling approaches are discussed, and potential directions for future research are recommended.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Article
Energy & Fuels
Harald Fernandez-Puratich, Ricardo Rebolledo-Leiva, Diogenes Hernandez, Javier E. Gomez-Lagos, Bruno Armengot-Carbo, Jose Vicente Oliver-Villanueva
Summary: This research analyzes an optimization model for biomass supply to a combined heat and power (CHP) system in Mediterranean conditions, demonstrating that supplying residual biomass can reduce CO(2)e emissions. Pruning residues are identified as the optimal biomass supply option for CO(2)e emission minimization, while olive pomace is the top choice for cost minimization. Transport is not a major cost or environmental factor when biomass sources are within 30 km of the CHP system, and it is feasible to supply a small-scale CHP plant despite seasonal agricultural biomass availability, with potential for cost and environmental benefits optimization using other lignocellulosic biomasses.
Article
Thermodynamics
Stefania Moioli, Giorgia De Guido, Matteo Gilardi, Laura A. Pellegrini, Davide Bonalumi, Giovanni G. Lozza
Summary: This study presents experimental vapor-liquid equilibrium data for the isopropanol-water system at different pressures and discusses its nonideal behavior and the presence of a minimum boiling azeotrope. It also evaluates the reliability of the experimental measurements and compares the collected data with literature values.
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2021)
Article
Green & Sustainable Science & Technology
Giampaolo Manzolini, Gaia Lucca, Marco Binotti, Giovanni Lozza
Summary: This study compared the performance of different Heat Transfer Fluids in high-temperature Solar Tower plants and identified NaCI-MgCl2 as the best option with a slightly higher LCOE than the reference Solar Salts case through a detailed techno-economic analysis.
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.