Article
Chemistry, Applied
Hideaki Tokuyama, Ryo Aoyagi, Kazuto Fujita, Yuki Maekawa, Shohei Riya
Summary: Ethanol fermentation using a hybrid system containing free and immobilized yeast cells in macroporous hydrogel scaffold was studied, with immobilization achieved through NIPA and MTGA hydrogels. The hybrid system showed higher ethanol productivity than the control system, with macroporous hydrogel allowing stable growth of immobilized yeast cells. In steady-state fermentation, the hybrid system had significantly higher cell densities and ethanol productivities compared to the control system.
REACTIVE & FUNCTIONAL POLYMERS
(2021)
Article
Agronomy
Heeyoung Park, Sang Un Park, Byeong-Kwan Jang, Jeong Jae Lee, Yong Suk Chung
Summary: Kenaf, an annual fiber crop mainly grown in India and China, is emerging as a promising bio-based energy source due to its rapid growth, CO2 absorption capabilities, and high productivity. The study evaluated 10 different cultivars of kenaf for cellulosic ethanol production, finding that ethanol yield and productivity were significantly impacted by cultivar type, rather than biomass composition. Engineering yeast to utilize xylose under pH control can maximize ethanol production from kenaf.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2021)
Article
Engineering, Environmental
Minakshi Gohain, Maskura Hasin, Khalifa S. H. Eldiehy, Pritam Bardhan, Khairujjaman Laskar, Hridoyjit Phukon, Manabendra Mandal, Dipul Kalita, Dhanapati Deka
Summary: This study investigated the potential of using deoiled Scenedesmus obliquus for bio-ethanol production with different heterogeneous catalysts. Successful hydrolysis of the biomass was achieved using eco-friendly catalysts, leading to the production of bio-ethanol with a high yield and concentration through fermentation.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Agricultural Engineering
Ya Zhu Wang, Jin Zheng, Muhammad Nawaz, Fan Yang, Jiajun Hu, Min-Tian Gao
Summary: This study discovered that soluble polysaccharides from rice straw were conjugated with high levels of phenolic compounds. These conjugates significantly affected yeast growth and ethanol fermentation, improving their efficiency. The conjugates reduced osmotic stress and intracellular hydrogen peroxide levels, leading to higher yeast growth and ethanol production.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Article
Green & Sustainable Science & Technology
Bo Wu, Yan-Wei Wang, Yong-Hua Dai, Chao Song, Qi-Li Zhu, Han Qin, Fu-Rong Tan, Han-Cheng Chen, Li-Chun Dai, Guo-Quan Hu, Ming-Xiong He
Summary: The development of fuel ethanol is an important strategy to ensure energy security, with China becoming the third-largest ethanol producer globally. The Chinese ethanol industry is sensitive to corn prices and requires technological improvements. Additionally, research progress on cellulosic ethanol production and sustainable development strategies were discussed in the review.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Biology
Shankar Vijayalakshmi, Marimuthu Govindarajan, Norah Al-Mulahim, Zubair Ahmed, Shahid Mahboob
Summary: This study focuses on ethanol production from fermentation of golden trumpet flower substrate, optimizing the process to achieve the highest yield of bioethanol. It also explores immobilization strategies with agricultural waste and magnetic nanoparticles, as well as engine performance and emission studies with different blends of petrol and bioethanol.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Chaitanya Reddy Chilakamarry, A. M. Mimi Sakinah, A. W. Zularism, Irshad Ahamad Khilji, Sudhakar Kumarasamy
Summary: In this study, glycerol residue from the biodiesel industry was utilized as a cheap carbon source for synthesizing ethanol by immobilizing E. coli cells. Optimization of fermentation parameters resulted in successful ethanol production.
JOURNAL OF CHEMISTRY
(2022)
Review
Biotechnology & Applied Microbiology
Juhi Sharma, Vinod Kumar, Rajendra Prasad, Naseem A. Gaur
Summary: Lignocellulosic biomass is an abundant material on earth and can be processed by microorganisms to produce biofuels. Saccharomyces cerevisiae is an ideal candidate for consolidated bio-processing (CBP) to produce cellulose-based ethanol. However, there are still challenges in the process, such as incomplete substrate catabolism and low expression of heterologous proteins.
BIOTECHNOLOGY ADVANCES
(2022)
Article
Biochemistry & Molecular Biology
Maria Mavrommati, Seraphim Papanikolaou, George Aggelis
Summary: This study describes an Adaptive Laboratory Evolution (ALE) strategy to develop Saccharomyces cerevisiae populations with increased tolerance to ethanol. The evolved populations after 100 generations could survive for 1 hour at 23% v/v ethanol and for 2 hours at 25% v/v ethanol. The fermentation ability and growth rate of the yeast strains were significantly improved through ethanol-based evolution.
PROCESS BIOCHEMISTRY
(2023)
Article
Biotechnology & Applied Microbiology
Thais O. Secches, Carla F. Santos Viera, Thaynara K. E. Pereira, Victor T. O. Santos, Jade Ribeirodos Santos, Goncalo A. G. Pereira, Marcelo F. Carazzolle
Summary: This article introduces the combination of sugarcane and corn ethanol production methods in Brazil, and analyzes the performance of Brazilian industrial strains in corn ethanol production. The results show that certain strains demonstrate good tolerance and productivity under high temperature and high solids concentration conditions.
BIORESOURCES AND BIOPROCESSING
(2022)
Article
Energy & Fuels
Lakkana Laopaiboon, Suntaree Suporn, Preekamol Klanrit, Niphaphat Phukoetphim, Chalida Daengbussadee, Pattana Laopaiboon
Summary: Yeasts were isolated from potential sources and tested for ethanol tolerance and fermentation performance. Among 27 isolates, only five showed high ethanol tolerance and production efficiency, with SSJ01KKU performing the best under all conditions. Molecular taxonomic analysis revealed SSJ01KKU as S. cerevisiae and the other four isolates as Pichia caribbica.
Article
Biotechnology & Applied Microbiology
Viviani Tadioto, Junior Romeo Deoti, Caroline Muller, Bruna Raquel de Souza, Odinei Fogolari, Marcela Purificacao, Anderson Giehl, Leticia Deoti, Ana Carolina Lucaroni, Akinori Matsushika, Helen Treichel, Boris Ugarte Stambuk, Sergio Luiz Alves Junior
Summary: This study analyzed the effect of a recently discovered wild yeast strain, UFFS-CE-3.1.2, on ethanol production. The results showed that the strain was not significantly affected by furfural and NaCl, while acetic acid negatively affected glucose consumption. The pH positively influenced all the analyzed responses. Sugar concentration had a negative impact on ethanol, xylitol, and cellular biomass yields. A genetically engineered strain, JDY-01, showed higher xylose consumption and ethanol production, as well as better tolerance to acetic acid.
BIOPROCESS AND BIOSYSTEMS ENGINEERING
(2023)
Article
Energy & Fuels
Niel Bezuidenhout, Daneal C. S. Rorke, Eugene van Rensburg, Danie Diedericks, Johann F. Goergens
Summary: In order to improve process feasibility, it is necessary to use hardwood spent sulfite liquor (HSSL) as the main feedstock for bioethanol production without prior detoxification. The potential of non-detoxified HSSL as a feedstock for ethanol production was assessed using two recombinant Saccharomyces cerevisiae strains. The inhibitory effect of non-detoxified HSSL was mitigated by using a pulse fed-batch strategy, resulting in increased ethanol titer.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Biotechnology & Applied Microbiology
Kaori Itto-Nakama, Shun Watanabe, Shinsuke Ohnuki, Naoko Kondo, Ryota Kikuchi, Toru Nakamura, Wataru Ogasawara, Ken Kasahara, Yoshikazu Ohya
Summary: In this study, AI models were developed to predict ethanol yields in yeast fermentation cultures under high-sugar stress conditions using cell morphological data. The best performance was achieved by the neural network algorithm with an R2 value of 0.95, and it could predict ethanol yields up to 60 minutes in advance. Morphological data from cells cultured in low-glucose medium were not suitable for accurate prediction under high-glucose stress conditions. Feeding experiments revealed phase-dependent morphological changes. Monitoring yeast morphology under stress can aid in understanding intracellular physiological conditions and improve the management and stable production of desired biocommodities.
JOURNAL OF BIOSCIENCE AND BIOENGINEERING
(2023)
Article
Biochemistry & Molecular Biology
Jasmina Masten Rutar, Berta Cillero-Pastor, Ronny Mohren, Natasa Poklar Ulrih, Nives Ogrinc, Polona Jamnik
Summary: This study investigated the antioxidant effects of fermented and non-fermented Spirulina extracts on yeast cells at the proteome level. The results showed that fermented extracts upregulated differentially expressed proteins while non-fermented extracts downregulated most proteins involved in cellular processes. Additionally, lactic acid fermentation contributed to a higher downregulation of stress response proteins in the cells.
Review
Green & Sustainable Science & Technology
Richa Arora, Shuvashish Behera, Sachin Kumar
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2015)
Article
Microbiology
Richa Arora, Shuvashish Behera, Nilesh K. Sharma, Sachin Kumar
FRONTIERS IN MICROBIOLOGY
(2015)
Article
Biochemistry & Molecular Biology
Shuvashish Behera, Nilesh K. Sharma, Richa Arora, Sachin Kumar
APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
(2016)
Article
Biotechnology & Applied Microbiology
Nilesh Kumar Sharma, Shuvashish Behera, Richa Arora, Sachin Kumar
BIOPROCESS AND BIOSYSTEMS ENGINEERING
(2016)
Review
Biotechnology & Applied Microbiology
Nilesh Kumar Sharma, Shuvashish Behera, Richa Arora, Sachin Kumar, Rajesh K. Sani
JOURNAL OF BIOSCIENCE AND BIOENGINEERING
(2018)
Article
Biotechnology & Applied Microbiology
Shuvashish Behera, Ramesh Chandra Ray
ANNALS OF MICROBIOLOGY
(2015)
Article
Biotechnology & Applied Microbiology
Richa Arora, Shuvashish Behera, Nilesh Kumar Sharma, Sachin Kumar
BIOTECHNOLOGY AND BIOPROCESS ENGINEERING
(2019)
Article
Environmental Sciences
Suman Jagatee, Jyoti Ranjan Rout, Shuvashish Behera, Shidharth Sankar Ram, Mathummal Sudarshan, Chinmay Pradhan, Santi Lata Sahoo, Rama Chandra Mohanty
Summary: The present study investigated the structural, chemical, and elemental changes in sweet potato flour after hydrolysis by α-amylase and a mixture of α-amylase and glucoamylase. The results demonstrated efficient hydrolysis of starch, with Z. mobilis showing better production of bioethanol compared to S. cerevisiae. Elemental analysis revealed an increase in certain elements and a decrease in others in the fermented residue, with more variation observed in Z. mobilis.
WASTE AND BIOMASS VALORIZATION
(2021)
Article
Energy & Fuels
Ketaki Nalawade, Paharika Saikia, Shuvashish Behera, Kakasaheb Konde, Sanjay Patil
Summary: The bioprospecting of sugarcane bagasse was evaluated using different pretreatment methods. Alkali pretreatment exhibited higher lactic acid titer and yield compared to other methods. Cavitation with alkali pretreatment showed the second best performance in terms of lactic acid production.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Agronomy
Sanjay Patil, Kakasaheb Konde, Shuvashish Behera
Summary: This paper highlights the importance of producing compressed biogas (CBG) through anaerobic digestion and purification using press mud cake (PMC). The current use of PMC as filler material or fertilizer is not the best valorization route. Utilizing PMC for biogas production and further purification to produce CBG can generate additional revenue for sugar mills and have economic and environmental benefits.
Article
Agronomy
Shuvashish Behera, Nilesh Kumar Sharma, Sachin Kumar
Summary: The present study aimed to isolate, screen, and optimize hexose fermenting butanologens. A bacterium, NIBE-A1, was isolated and identified as Clostridium pasteurianum NIBE-A1, which showed potential for butanol production. The effects of pH and temperature on growth and solvent production were investigated and optimized. The study revealed the promising potential of the isolated bacterium for butanol production.
Article
Energy & Fuels
Nilesh Kumar Sharma, Shuvashish Behera, Richa Arora, Sachin Kumar
FRONTIERS IN ENERGY RESEARCH
(2017)
Article
Green & Sustainable Science & Technology
Richa Arora, Shuvashish Behera, Nilesh Kumar Sharma, Sachin Kumar
Proceedings Paper
Energy & Fuels
Nilesh Kumar Sharma, Shuvashish Behera, Richa Arora, Sachin Kumar
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN BIOENERGY RESEARCH
(2016)
Review
Biotechnology & Applied Microbiology
Shuvashish Behera, Richa Singh, Richa Arora, Nilesh Kumar Sharma, Madhulika Shukla, Sachin Kumar
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2015)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
