Article
Thermodynamics
Yoyon Wahyono, Hadiyanto Hadiyanto, Shabbir H. Gheewala, Mochamad Arief Budihardjo, Joni Safaat Adiansyah
Summary: The environmental impact of multi-feedstock biodiesel production is greater during the plantation stage compared to palm oil biodiesel production. This is mainly due to the use of fertilisers in agriculture. Cultivating multiple crops is more detrimental to the environment than cultivating only oil palm, as it requires more fertilisers. Therefore, the use of soybean, canola, and sunflower to produce multi-feedstock biodiesel is not recommended.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Marco Barbanera, Marco Castellini, Giorgia Tasselli, Benedetta Turchetti, Franco Cotana, Pietro Buzzini
Summary: This study aims to develop a full-scale plant for yeast biodiesel production from cardoon stalks and evaluate its environmental burden using a cradle-to-gate LCA approach. The analysis identified environmental hotspots in enzyme production and lipid extraction processes, with human carcinogenic toxicity being the highest environmental burden. Additionally, the study found that yeast biodiesel has negative GHG emissions due to environmental credits from co-products, making it a potential competitive alternative from an environmental perspective.
Article
Thermodynamics
Rui Huang, Jianfeng Li, Yumu Tang, Wenlu Song, Yujie Yu, Weijuan Yang, Jun Cheng
Summary: This study analyzed and compared four emerging scenarios for biodiesel production from wet microalgae using different strategies and solvents. The results showed that increased solvent usage led to new energy consumption and environmental impacts, with the best performance observed in LE-MHT and the worst in LE-PEF. Using eco-friendly solvents and increasing lipid recovery can further improve energy conversion and environmental performance.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Review
Green & Sustainable Science & Technology
Feng Long, Weiguo Liu, Xia Jiang, Qiaolong Zhai, Xincheng Cao, Jianchun Jiang, Junming Xu
Summary: The paper provides an overview of converting triglycerides into biofuels using various technologies and catalysts. It discusses critical aspects such as feedstock analysis, mechanism research, and catalyst development, as well as the production and application of biodiesel. Life cycle assessment and greenhouse gas emission evaluation are also reviewed to assess the renewability and sustainability of biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Ahmet Cosgun, M. Erdem Gunay, Ramazan Yildirim
Summary: This study analyzed a large database to investigate the factors influencing algal biomass and lipid production, and utilized machine learning techniques to determine the optimal conditions. Decision trees and association rule mining were used to identify specific combinations and conditions leading to high biomass and lipid content. The findings suggest that machine learning methods can effectively guide experimental works for producing renewable biofuels from microalgae.
Article
Energy & Fuels
Ahmet Cosgun, M. Erdem Gunay, Ramazan Yildirim
Summary: This work analyzed the biomass and lipid productivities of Yarrowia lipolytica using machine learning techniques. Decision trees and association rule mining were employed to identify the influential features and optimal conditions for biomass growth and lipid yield, providing theoretical support for the production of renewable biofuels.
Review
Chemistry, Physical
Mohammed Salaheldeen, Abdalbasit Adam Mariod, Mohamed Kheireddine Aroua, S. M. Ashrafur Rahman, Manzoore Elahi M. Soudagar, I. M. Rizwanul Fattah
Summary: Triglycerides, derived from natural sources such as virgin vegetable oils and animal fats, are the main components used for biodiesel production. Biodiesel, considered an attractive alternative fuel to diesel with environmental advantages, is typically produced through transesterification. Commercialization of biodiesel is limited by high production costs, with the transesterification route being a crucial factor. Various modifications to the conventional method and innovative technologies have been proposed to improve biodiesel production efficiency and lower costs.
Article
Computer Science, Artificial Intelligence
Erdener Ozcetin, Gurkan Ozturk, Zehra Kamisli Ozturk, Refail Kasimbeyli, Nergiz Kasimbeyli
Summary: This study proposes a model-driven decision support system for a ceramic sanitary ware company to solve its consolidated distribution problem. The system includes a mathematical model and a hybrid genetic algorithm, which optimize vehicle capacity and solve complex routing problems. By receiving order data, the system is able to generate cost-effective and visualizable distribution plans.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Environmental Sciences
Arson Edberg anak Erison, Yie Hua Tan, N. M. Mubarak, Jibrail Kansedo, Mohammad Khalid, Mohammad Omar Abdullah, Mostafa Ghasemi
Summary: Biodiesel, as a renewable and environmentally friendly option, faces current issues that hinder its development, with the utilization of impregnated magnetic biochar derived from waste PKS catalyst showing potential to reduce environmental impacts. Further research on life cycle cost and sensitivity analysis is needed to promote sustainable biodiesel production.
ENVIRONMENTAL RESEARCH
(2022)
Article
Agricultural Engineering
Jinshu Huang, Junqi Wang, Zhuochun Huang, Tengyu Liu, Hu Li
Summary: A light-induced photothermal process using a biomass-based catalyst was demonstrated to efficiently produce biodiesel from microalgae lipids at room temperature with a high yield of 96.8%. The process involved interfacial solar heating, which created a local photothermal catalytic system leading to evaporation and removal of water and facilitating the forward reaction. The photothermal catalyst showed higher conversion rate compared to the industrially used catalyst H2SO4 and had energy-saving and environmental advantages.
BIORESOURCE TECHNOLOGY
(2023)
Review
Biotechnology & Applied Microbiology
Mustafa Kamal Pasha, Lingmei Dai, Dehua Liu, Miao Guo, Wei Du
Summary: Biodiesel is considered a promising alternative to fossil fuels with similar properties and environmental benefits. Developing cost-effective catalysts and using a variety of feedstock are key to reducing production costs and optimizing the biodiesel manufacturing process. Process systems engineering provides an efficient approach to design and optimize biodiesel production systems, highlighting the challenges and opportunities for sustainable enzymatic biodiesel technology.
BIOTECHNOLOGY FOR BIOFUELS
(2021)
Article
Green & Sustainable Science & Technology
Hui Li, Junchi Wang, Xiaoling Ma, Yangyang Wang, Guoning Li, Min Guo, Ping Cui, Wanpeng Lu, Shoujun Zhou, Mingzhi Yu
Summary: The use of carbonized MIL-100(Fe) to support ammonium sulfate for synthesizing magnetic solid acid has led to an optimized catalyst (CIS) with superparamagnetic properties and high conversion rates for biodiesel production. The CIS showed a saturated magnetism of 22 emu/g and achieved a maximum conversion of 95.68% under mild conditions. Even with the presence of water content, the catalyst still maintained a high conversion rate.
Article
Materials Science, Multidisciplinary
Petra Zapp, Andrea Schreiber, Josefine Marx, Wilhelm Kuckshinrichs
Summary: Rare earth elements (REEs) are important for green technologies, but their mining and production often use unsustainable techniques. Life cycle assessment (LCA) is a recognized method for evaluating the environmental impacts. This article provides an overview of the environmental impacts of REE production, comparing major deposits and possible production routes. Alternative minerals are also discussed. The article highlights the potential for minimizing environmental effects through technology optimization and environmental safety strategies, but also acknowledges the challenges posed by different mineral types.
Article
Environmental Sciences
Rahim Zahedi, Abolfazl Ahmadi, Siavash Gitifar
Summary: This study focused on utilizing microalgae extraction to reduce water salinity and produce biodiesel as an environmentally friendly method. Results showed effective separation and reduction of salt content by microalgae, suggesting the use of microalgae to mitigate negative environmental impacts and enhance energy production capacity of hydropower plants.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Toni Meier, Torsten von Borstel, Birgit Welte, Brennan Hogan, Steven M. Finn, Mike Bonaventura, Silke Friedrich, Kerstin Weber, Tanja Draeger de Teran
Summary: The study quantified the environmental impacts of food losses in the food-service sector in Germany, showing variations in CO2 emissions, water usage, and land demand among subsectors. By implementing robust food waste management schemes, achieving the UN's goal of halving food waste by 2030 is within reach.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)