Article
Mathematics, Interdisciplinary Applications
Bing Xu
Summary: A cost accounting algorithm of environmental pollution control based on discrete probability was designed in this study, aiming at the problems of high error rate and long time of traditional algorithms. The algorithm showed good convergence and could accurately calculate the cost of ecological environmental pollution control, with low accounting error rate and computation time.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2022)
Article
Environmental Sciences
Friederike Ziegler, Peter H. Tyedmers, Robert W. R. Parker
Summary: Making food systems more sustainable is a major challenge for humanity. Life cycle assessment research has provided valuable insights for addressing this challenge. However, comparing the environmental impacts of different food products based on existing literature is challenging and requires more transparent and consistent methods. Through examples, we suggest best practices to enhance the aggregation of life cycle assessment studies in order to guide sustainable food systems.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2022)
Article
Environmental Studies
Matthew Brander, Francisco Ascui, Vivian Scott, Simon Tett
Summary: This study identifies five distinct accounting issues related to Negative Emissions Technologies (NETs) and proposes solutions. It suggests that carbon accounting methods should follow a 'reality principle' to report emissions and removals, and the correct accounting method should be used for its appropriate purpose.
Article
Green & Sustainable Science & Technology
Rohit Kalvakaalva, Mollie Smith, Stephen A. Prior, G. Brett Runion, Emmanuel Ayipio, Caroline Blanchard, Daniel Wells, David Blersch, Sushil Adhikari, Rishi Prasad, Terril R. Hanson, Brendan T. Higgins
Summary: This study used life cycle assessment to quantify the environmental impacts of decoupled biofloc aquaponics systems. The results showed that electricity, heating fuel, and feed were the major contributors to global warming potential and cumulative energy demand. Efforts to balance fish and plant production and reuse post-plant effluent are important in minimizing the environmental footprint of decoupled systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Food Science & Technology
Kevin Veliz, Leticia Chico-Santamarta, Angel D. Ramirez
Summary: This study evaluates the environmental impact of Ecuadorian bananas using life cycle assessment. The hotspots identified include fertilizer field emissions, cardboard packaging, rachis disposal, and maritime transport. Improvement measures should focus on reducing fertilizer usage and developing alternative solutions.
Review
Green & Sustainable Science & Technology
Yi-Chen Lan, Vivian Wy Tam, Weiqi Xing, Rina Datt, Zhonghua Chan
Summary: There is a lack of research on the environmental impacts of cut flowers from growing facilities to end consumers, and no review has been conducted on this topic. Current studies on life cycle assessment (LCA) of cut flowers show inconsistencies in the choice of functional unit and a focus on carbon footprint and energy consumption. The various flower species and cultivation methods make it challenging to compare environmental performance. To enhance environmental sustainability, suggestions include improving greenhouse technology, implementing integrated nutrient and pest management, introducing certification and labeling for cut flowers, developing sea transport with refrigerated containers, and increasing consumer awareness of environmental impact. There is still room for improvement in LCA of cut flowers, particularly in terms of allocation, waste treatment, and uncertainty analysis.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Batoul Modarress Fathi, Al Ansari, Alexander Ansari
Summary: The growth of European commercial aviation in the last century has come at the expense of environmental degradation, as greenhouse gas and CO2 emissions have increased. However, the industry is now under pressure to achieve net-zero emissions, with a target of reducing greenhouse gas emissions by at least 55% below the 1990 level by 2030 and achieving zero CO2 emissions by 2050. This study explores a sustainable path towards a green commercial aviation supply chain in Europe, highlighting the need for innovative technologies and practices in various stages of the aircraft life cycle.
Article
Green & Sustainable Science & Technology
Kotaro Kawajiri, Kaito Sakamoto
Summary: This study compares the GHG emissions of conventional CF production process and an improved CF production process using LCA method. The results show that the improved process can reduce 20% of GHG emissions, mainly due to the use of liquid-phase stabilization in fiber preparation stage with the advanced CF technology.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2022)
Article
Engineering, Environmental
Ville Uusitalo, Ladan Abrari, Mari Hupponen, Jouni Havukainen, Jarkko Levanen
Summary: This study assessed the climate impacts of biowaste collection and utilization, comparing different collection methods in terms of greenhouse gas emissions. The results showed that source separation of biowaste and directing it to biogas production can lead to lower overall greenhouse gas emissions. Encouraging people to source separate their biowaste should be made as easy and encouraging as possible to further reduce greenhouse gas emissions.
Article
Medicine, Research & Experimental
Alex Wilkinson, Ekaterina Maslova, Christer Janson, Yang Xu, John Haughney, Jennifer K. Quint, Nigel Budgen, Andrew Menzies-Gow, John Bell, Michael G. Crooks
Summary: The CARBON program aims to assess the carbon footprint of respiratory care and identify strategies for reducing greenhouse gas emissions. It will quantify the carbon footprint of medications and healthcare resource utilization and explore the impact of different treatment approaches on greenhouse gas emissions in patients with respiratory diseases.
ADVANCES IN THERAPY
(2022)
Article
Environmental Sciences
Zhongping Shen, Yongjun Guan, Yunbao Xu, Qifeng Xu, Andlib Zubaria
Summary: This study examines the effects of green financial investment and privatization on economic and environmental performance in China. The findings indicate that green financial investment has a positive impact on both economic and environmental performance, while privatization has a positive effect on long-term economic performance but negative consequences on environmental performance.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Multidisciplinary Sciences
Jiajia Zheng, Zih-Ee Lin, Eric Masanet, Ranjit Deshmukh, Sangwon Suh
Summary: The study indicates that while installing PV systems reduces annual costs and carbon emissions for households, adding battery storage increases lifecycle costs and has mixed impacts on emissions. By 2040, solar-plus-storage systems may have up to 31% higher lifecycle costs and up to 32% higher emissions compared to solar-only systems.
Article
Agronomy
Jan Lask, Jason Kam, Jan Weik, Andreas Kiesel, Moritz Wagner, Iris Lewandowski
Summary: Life cycle assessment (LCA) is a useful tool for evaluating environmental impacts, with global warming potential being a common focus. Developing LCA inventory for agricultural products like miscanthus can be challenging. A simplified model for calculating GHG emissions associated with miscanthus cultivation was developed in this study, providing practitioners with easy access to LCA knowledge.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2021)
Article
Green & Sustainable Science & Technology
Vijaya Subramaniam, Soh Kheang Loh, Astimar Abdul Aziz
Summary: The greenhouse gas analysis conducted in the Malaysian palm oil industry shows that the recycling of waste can significantly reduce carbon emissions in palm oil production. By utilizing waste as fuel and fertilizer substitutes, the environmental impact of palm oil production can be reduced.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Green & Sustainable Science & Technology
Silvia Guillen-Lambea, Raphael Abrahao, Monica Carvalho
Summary: Developing new clean power generation systems is important for the energy sector. This research assesses the environmental impacts of two medium power generation systems using consequential life cycle assessment methods. The results highlight the importance of considering the temporal variation of environmental impacts and the need for improved methodologies and standards in environmental assessments.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
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)