Article
Green & Sustainable Science & Technology
Qi Liu, Mingmao Cai, Bin Yu, Shuying Qin, Xiaochun Qin, Jiupeng Zhang
Summary: There are complex uncertainties in road life cycle assessment (LCA) analysis process that need to be addressed to avoid biased results and decision-making. This study developed a system and conducted a case study to quantify uncertainty and perform sensitivity analysis for carbon emissions (CEs) in pavement life cycle. The results showed that uncertainty in the model form had the greatest impact on results, and the use and maintenance phases were key for improving reliability of CEs. The study provides a theoretical basis for improving the quality of road LCA CE results and makes recommendations for green and low-carbon road engineering development.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Xiaoqu Han, Yanxin Li, Lu Nie, Xiaofan Huang, Yelin Deng, Junjie Yan, Dimitrios-Sotirios Kourkoumpas, Sotirios Karellas
Summary: With the increasing integration of renewable energy sources into the power grid, the need for large-scale energy storage systems (ESSs) has become crucial. This study developed a cradle-to-grave life cycle analysis model to evaluate the environmental sustainability of prominent electrochemical energy storage technologies, including lithium iron phosphate batteries (LIPBs), nickel cobalt manganese oxide batteries (NCMBs), and vanadium redox flow batteries (VRFBs). The greenhouse gas (GHG) emissions of these ESSs were analyzed under different scenarios and their potential reduction in emissions was predicted. The results provide insights for optimizing environment, policy, and business models for large-scale energy storage in low-carbon power systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Studies
Wang Chen, Xian-Xun Yuan
Summary: This paper presents a comprehensive eco-efficiency assessment for six promising long-life asphalt pavement (LLAP) designs, finding that under the baseline design scenario, the inverted, enhanced semi-rigid base, and composite asphalt pavement perform best in terms of greenhouse gas emissions, total embodied energy, and life-cycle cost. In most cases, the enhanced semi-rigid base and inverted designs are the most eco-efficient solutions, although the composite pavement may surpass the enhanced semi-rigid base for longer design life. The raw material phase is identified as the most critical source of environmental impacts across all life-cycle activities.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Feng Ma, Wenhao Dong, Zhen Fu, Rui Wang, Yue Huang, Jenny Liu
Summary: This paper estimated the greenhouse gas emissions of 16 maintenance technologies and identified the ones with the least emissions. Among preventive maintenance technologies, micro-surface and fog seal have the lowest emissions. A reasonably designed maintenance plan for the entire life cycle can significantly reduce the greenhouse gas emissions of asphalt pavements.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Fusong Wang, Inge Hoff, Fei Yang, Shaopeng Wu, Jun Xie, Na Li, Lei Zhang
Summary: This study compares the energy consumption and Greenhouse Gas (GHG) emissions of advanced asphalt pavement constructions using self-healing, steel slag recycling, and warm mix technology. Results show that warm mix asphalt pavement is the most environmentally friendly overall, but the environmental burdens generated in materials extraction stage are significant. Factors such as recycled materials applications, transport distance managements, and located climate conditions have a striking impact on the environmental effects of asphalt pavement construction.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Alan Rotz, Robert Stout, April Leytem, Gary Feyereisen, Heidi Waldrip, Greg Thoma, Michael Holly, David Bjorneberg, John Baker, Peter Vadas, Peter Kleinman
Summary: Through simulation of dairy farms in different regions, it was found that the dairy industry in the United States has a certain impact on national environmental indicators such as greenhouse gas emissions, fossil energy use, water resources, and nitrogen loss. While the environmental footprint of dairy farms in the U.S. is relatively small in the national context, their contribution to reactive nitrogen losses is significant.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Construction & Building Technology
Zhuocheng Duan, Qiong Huang, Qiming Sun, Qi Zhang
Summary: This study examines the life cycle greenhouse gas emissions (LCGHGE) and life cycle primary energy (LCPE) of three high-rise residential buildings in cold regions of China. The results show that cross laminated timber (CLT) buildings and hybrid CLT buildings have lower LCGHGE compared to conventional reinforced concrete (RC) buildings. Additionally, the operational phase of RC buildings has lower energy consumption and greenhouse gas emissions compared to CLT alternatives. CLT demonstrates great recycling potential and biomass residues during the end-of-life stage.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Bojana Petrovic, Ola Eriksson, Xingxing Zhang
Summary: The aim of this study was to investigate the impact of building design changes, differentiation of biogenic carbon from fossil carbon, and inclusion of external benefits on the carbon accounting of a wooden single-family house. Life cycle assessment (LCA) was used to analyze the greenhouse gas emissions of different building design scenarios, while life cycle cost (LCC) was used to assess the costs. The results showed that an improved building design with positive and negative emissions considered in scenario 4 had the lowest embodied GHG emissions.
BUILDING AND ENVIRONMENT
(2023)
Article
Engineering, Environmental
Timothy R. Simon, Daniel Inman, Rebecca Hanes, Gregory Avery, Dylan Hettinger, Garvin Heath
Summary: This study compares the carbon impacts of different energy storage technologies and finds that pumped storage hydropower has the lowest life cycle greenhouse gas emissions. The study focuses on the assessment of closed-loop pumped storage hydropower (PSH) in the United States and its global warming potential. The results suggest that closed-loop PSH offers climate benefits over other energy storage technologies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
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)
Article
Green & Sustainable Science & Technology
Jhuma Sadhukhan, Sohum Sen, Siddharth Gadkari
Summary: This paper discusses a novel digital output that utilizes mathematical computation for life cycle sustainability assessment in order to support design decisions for systemic holistic sustainability. The study reveals that self-generation in electricity sector is more sustainable in terms of reducing social costs and environmental impacts compared to electricity imports, and biomass combined heat and power systems within bioenergy sector are more feasible than microbial fuel cells.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Sebastian Kolb, Jakob Muller, Natalia Luna-Jaspe, Jurgen Karl
Summary: Hydrogen imports are seen as a promising solution for the decarbonization of the German energy system. This study compares the environmental performance of liquefied hydrogen imports from Chile, Canada, and Morocco, and shows that renewable hydrogen imports can outperform domestic production in certain cases.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Studies
Xiaodan Chen, Hao Wang, Radley Horton, Josh DeFlorio
Summary: This study aims to quantify the life-cycle carbon footprint of asphalt pavement under warming temperatures due to climate change. It found that increasing temperatures lead to faster structural deterioration of pavement, requiring earlier or more frequent overlay treatments, which in turn increase CO2 emissions in material and construction stages but reduce emissions during pavement use. Climate change causes greater CO2 emissions over time during the study period.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Review
Biotechnology & Applied Microbiology
Fangjie Liu, Muhammad Shafique, Xiaowei Luo
Summary: This review examines the life cycle assessment of alternative fuels, comparing different assessment frameworks, identifying emission hotspots, and providing recommendations for future research. The analysis shows that all stages, except for hydrogen use, have an environmental impact, but the boundaries and inventories vary due to differences in raw materials, production processes, and products. Further refinement of the assessment is needed, and future research should consider the various impacts of alternative fuels in transportation on social, economic, and environmental aspects.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2023)
Article
Energy & Fuels
Hassan Ghasemi-Mobtaker, Ali Kaab, Shahin Rafiee, Ashkan Nabavi-Pelesaraei
Summary: This study used mathematical, artificial neural networks (ANNs), and adaptive neuro-fuzzy inference system (ANFIS) methods to predict the output energy, economic profit, and global warming potential (GWP) of wheat production in the central area of Hamadan province, Iran. The results indicated that the ANFIS model provided the best prediction, followed by the ANN model considering non-linear parameters.
Article
Construction & Building Technology
Alena J. Raymond, Alissa Kendall, Jason T. DeJong, Edward Kavazanjian, Miriam A. Woolley, Kimberly K. Martin
Summary: Fugitive dust at construction sites can affect air quality and respiratory health, prompting contractors to use dust control strategies to comply with environmental regulations. Water application is the most common mitigation strategy, but alternatives like magnesium chloride are also utilized. Despite reducing dust emissions, these strategies have other environmental impacts throughout their life cycle.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Article
Engineering, Environmental
Jessica Dunn, Margaret Slattery, Alissa Kendall, Hanjiro Ambrose, Shuhan Shen
Summary: Batteries have the potential to reduce greenhouse gas emissions from on-road transportation significantly, but there are concerns over material production and criticality. Circular economy strategies can mitigate impacts and secure regional supplies, requiring the development of recycling and manufacturing infrastructure in each region.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Engineering, Environmental
Elias Marvinney, Alissa Kendall
Summary: This study presents a comprehensive life cycle assessment of almond production in California, revealing significant variability in environmental impacts across regions and over time, highlighting the need for spatially and temporally resolved agricultural LCAs.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2021)
Article
Energy & Fuels
Su Jin Choi, So Won Choi, Jong Hyun Kim, Eul-Bum Lee
Summary: This study developed two core modules for a digital EPC contract risk analysis tool to help contractors identify and manage risk provisions. By automatically extracting risk-involved clauses and building a machine learning model, the accuracy rates of risk clause extraction were improved.
Article
Agriculture, Dairy & Animal Science
Sarah C. Klopatek, Elias Marvinney, Toni Duarte, Alissa Kendall, Xiang (Crystal) Yang, James W. Oltjen
Summary: This study investigated the performance, carcass quality, financial outcomes, and environmental impacts of four grass-fed and grain-fed beef systems in California. The results showed that these systems differ in terms of animal performance, carcass quality, and environmental effects, with no system having absolute superiority.
JOURNAL OF ANIMAL SCIENCE
(2022)
Review
Engineering, Environmental
Pablo Busch, Alissa Kendall, Colin W. Murphy, Sabbie A. Miller
Summary: This study reviews previous research on cement and concrete decarbonization and analyzes the most common proposed measures along with their level of action, stakeholders involved, barriers to implementation, and policy actions. The primary technical measures identified for decarbonization include improved energy efficiency, fuel switching, carbon capture utilization and storage, and reduction of the clinker-to-cement ratio for cement production, and alternative binders, material and construction efficiency, and CO2 uptake by concrete for concrete production and end-uses. However, there is less clarity about preferred policy solutions and key barriers, indicating a need for further research.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Chae-Yeon Kim, Jong-Gwan Jeong, So-Won Choi, Eul-Bum Lee
Summary: This study proposed a purchase order recognition and analysis system (PORAS) that utilizes artificial intelligence (AI) to automatically detect and compare risk clauses in purchase orders (POs) between plant owners and suppliers. The system significantly reduces the owner engineer's review time of risk clauses, improving work efficiency in the plant industry.
Article
Green & Sustainable Science & Technology
So-Won Choi, Eul-Bum Lee
Summary: This study aims to analyze critical risk clauses in ITB documents to enhance the competitiveness of EPC contractors. Two models, rule-based and train-based, were developed and suggested to be used together for ITB analysis.
Article
Engineering, Environmental
Jessica Dunn, Alissa Kendall, Margaret Slattery
Summary: Lithium-ion battery recycling is crucial for reducing the environmental impact of electric vehicles and securing domestic supply chains. However, the US lacks policies for battery recycling. The European Union has proposed recycled content standards to promote a circular battery ecosystem. This analysis suggests that a significant portion of cobalt, lithium, and nickel demand in the future could be met through retired supply, but domestic recycling is more expensive than exporting to China. Policy measures may be necessary to ensure the domestic recycling of critical materials.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Energy & Fuels
Sun-Feel Yang, So-Won Choi, Eul-Bum Lee
Summary: This study used machine learning to predict the spot LNG price index (JKM) and reduce price fluctuation risks for LNG importers. The LSTM model performed the best, but its performance decreased during the COVID-19 period. The ML models' performance can be improved through additional studies.
Article
Green & Sustainable Science & Technology
Ho-Jin Cha, So-Won Choi, Eul-Bum Lee, Duk-Man Lee
Summary: The complexity and age of industrial plants have led to an increased need for equipment maintenance and replacement. To address the challenge of reducing the process and review time of equipment purchase order (PO) documents, a purchase order knowledge retrieval model (POKREM) was developed. POKREM utilizes knowledge graph (KG) technology and a hierarchical structure to create a graph database for accurate and efficient document search. The implementation of POKREM resulted in a significant reduction in PO document review time and improved work efficiency for engineers.
Article
Green & Sustainable Science & Technology
So-Won Choi, Bo-Guk Seo, Eul-Bum Lee
Summary: This study aims to improve the efficiency of the electric arc furnace (EAF) process by predicting tap temperature in real time and automatically setting the input power. A tap temperature prediction model (TTPM) was developed using a machine learning algorithm, resulting in reduced temperature deviation and energy consumption. Economic evaluation showed good feasibility, and the reliability of the system was verified through ten months of successful operation.
Article
Computer Science, Information Systems
Sang-Hyuk Lee, So-Won Choi, Eul-Bum Lee
Summary: Recently, there has been an increase in equipment replacement and maintenance repair and operation (MRO) optimization in Korean industrial plants, particularly steel-making factories, due to aging and deterioration. To address this, plant owners need to review equipment supply contracts (purchase order documents) with suppliers and vendors promptly. However, the efficiency and quality of the review process vary among engineers due to differences in manual skills and experience. This study developed a general provisions question-answering model (GPQAM) that combines knowledge graph (KG) and question-answering (QA) techniques to facilitate the search for semantically connected contract clauses during equipment purchase contract reviews.
Article
Green & Sustainable Science & Technology
Jin-Seong Choi, So-Won Choi, Eul-Bum Lee
Summary: This study aimed to develop a predictive maintenance model for detecting equipment failures in laser welders in a steel plant. The model combined an auto-encoder (AE) and a long short-term memory (LSTM) model to achieve high accuracy. The LW-PMM achieved an accuracy rate of 97.3% and a precision rate of 79.8%.
Article
Green & Sustainable Science & Technology
Mark T. Lozano, Alissa Kendall, Ali A. Butt, Arash Saboori, John Harvey, Changmo Kim
Summary: Cities and subnational jurisdictions play a crucial role in mitigating global climate change through climate action plans (CAPs). A study in California found that many CAPs lack quantitative information on the cost and emissions reductions of proposed strategies, leading to a framework developed for comparing strategies based on life cycle emissions and costs. The framework was piloted with two California counties, revealing strategies with cost savings and some that increased emissions. Future work should explore integrating life cycle and annual accounting methods for more effective decision-making.
ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY
(2021)
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)