Article
Green & Sustainable Science & Technology
Dharmaraj Sivasubramanian, Jin Gang Lee
Summary: In the construction industry, decision-making plays a crucial role in achieving sustainability. However, selecting sustainable alternatives as a result of the knowledge-intensive decision-making process and unreliable product information, particularly in SMEs, has become a challenge. This research develops a simple decision-making framework that considers life cycle cost and technology growth rate, providing visual comparison and anticipated outcome description to help decision-makers choose suitable sustainable products.
Article
Green & Sustainable Science & Technology
Laura Brenes-Peralta, Fabio De Menna, Matteo Vittuari
Summary: This study uses Interpretive Structural Modeling to identify and model the factors driving decisions towards sustainable coffee practices. Through case studies of shaded-coffee farms, it was found that the farm stage contributes the most to costs and environmental impacts in green coffee production. Knowledge and costs were identified as key driving factors for farmers' decisions, followed by certification schemes, policies, and the cooperative system. Emissions, biodiversity, and climate change adaptation act as linking factors, while water resource utilization is the most dependent factor.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Green & Sustainable Science & Technology
Carlos Moro
Summary: In previous literature, separate studies have applied multi-criteria decision-making (MCDM) methods and life cycle assessment (LCA) methods to evaluate cementitious materials. This study bridges the gap by comparing LCA methods with durability parameters integrated and MCDM methods for concrete mixtures, aiming to assess the differences between these two approaches in terms of overall sustainability. The study evaluates concrete mixtures containing conventional and recycled materials based on mechanical properties, durability parameters, environmental impact, and cost. The results highlight the positive impact of supplementary cementitious materials (SCMs) on concrete performance and the importance of reducing cement content for sustainability. The study also demonstrates the acceptable differences in ranking concrete mixtures using MCDM methods, offering flexibility in property weighting for concrete applications, while different LCA methods with durability integrated yield higher differences, emphasizing the superior consistency of MCDM methods. The sensitivity analysis emphasizes the significance of weight methods and concrete parameters, suggesting the need for standardized procedures for specific concrete applications to ensure reliable and relevant results.
Article
Green & Sustainable Science & Technology
Daniel Philipp Mueller, Michael Hiete
Summary: Product life cycle assessment (LCA) and sustainability assessment have proven to be powerful methods for identifying sustainability hotspots and supporting decision making. The novel a posteriori visualization presented in this study integrates scenarios to account for different use options, allowing decision makers to select satisficing sustainable alternatives while considering differing weighting preferences for the three pillars of sustainability. This approach supports consensus building among decision makers and leads to a consensus in product selection for relevant scenarios, ultimately resulting in the selection of more robust alternatives under a variety of use cases.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Chemistry, Multidisciplinary
Victor Tulus, Javier Perez-Ramirez, Gonzalo Guillen-Gosalbez
Summary: Most chemical products exceed environmental boundaries, especially in relation to greenhouse gas emissions. However, the level of transgression does not correlate with carbon footprints, suggesting that chemicals with higher emissions may not be less environmentally sustainable in absolute terms.
Review
Green & Sustainable Science & Technology
Jonathan Pryshlakivsky, Cory Searcy
Summary: Organizations are interested in Life Cycle Assessment to understand trade-offs in producing products. However, there is little research on its effectiveness, limitations, or drawbacks in decision-making. The universalism of Life Cycle Assessment is affected by organizational politics and bias, and recent trends are creating additional problems in decision-making.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Construction & Building Technology
Salim Barbhuiya, Bibhuti Bhusan Das
Summary: This review paper provides a comprehensive analysis of Life Cycle Assessment (LCA) methodologies applied to construction materials. It discusses the importance of LCA in the construction industry and provides an overview of LCA principles, phases, and key parameters specific to construction materials. The paper reviews LCA studies on various construction materials, explores recent advances in LCA for construction materials, and discusses challenges and future directions in LCA implementation for construction materials.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Review
Green & Sustainable Science & Technology
Hussien Hegab, Navneet Khanna, Neamat Monib, Amr Salem
Summary: The growth of environmental burdens and concerns has prompted the adoption of sustainable manufacturing to minimize resource depletion, global warming, and waste disposal. Additive manufacturing (AM) has become popular due to its wide range of applications and benefits. AM is efficient in producing customized and sophisticated products while also improving energy consumption, production costs, and production lead times. Additionally, it is environmentally sustainable, producing less waste and CO2 emissions, and enhancing the circular economy. Further research is needed to understand the long-term effects of AM on the environment.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Mattia Mele, Giampaolo Campana, Giovanni Fumelli
Summary: Arburg Plastic Freeforming (APF) is an advanced Additive Manufacturing technology that melts thermoplastics and deposits droplets layer-by-layer to build three-dimensional objects. The study shows that printer utilisation is the most significant factor for environmental impacts, and electrical consumption during 3D printing phase is crucial to human health and ecosystem quality.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Engineering, Environmental
Snehal Dewalkar, Sameer S. Shastri
Summary: This study proposes a comprehensive fuzzy formulated Multi-Criteria Decision Making (MCDM) framework that integrates Life Cycle Assessment (LCA) and Life Cycle Cost Assessment (LCCA) approaches to select the best suitable wastewater treatment (WWT) system for multi-storeyed residential buildings. Through literature survey, expert opinions, and questionnaires, the study identifies four dimensions of sustainability and associated indicators. The framework uses LCA and LCCA to assess environmental and economic sustainability parameters. It consists of three phases: identification of WWT systems, screening of criteria and indicators using Fuzzy Analytic Hierarchy Process (FAHP), and ranking of alternatives using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The study also suggests incorporating environmentally-friendly wastewater treatment tanks in multi-storeyed buildings. The proposed framework is tested by comparing the sustainability of the DOSIWAM system with other widely used WWT systems. The results show that DOSIWAM is the most suitable option, followed by MBR, SBT, SBR, MBBR, and ASP. Experts prefer natural treatment systems for their environmental and economic sustainability. Sensitivity analysis demonstrates the robustness of the DOSIWAM system. This framework provides a reliable basis for selecting the best WWT system for multi-storeyed residential buildings and can be used by local planning authorities to incentivize sustainable efforts.
JOURNAL OF WATER PROCESS ENGINEERING
(2022)
Article
Environmental Studies
Fatemeh Kazemi, Nazanin Hossein Pour, Hassan Mahdizadeh
Summary: Urban landscape development faces resource shortages and requires more sustainable methods. This research integrated decision-making methods to optimize city park design, reducing resource consumption and maintenance costs. The results showed that Value Engineering can balance costs and improve design quality.
Article
Computer Science, Interdisciplinary Applications
Tai-Wu Chang, Chun-Jui Pai, Huai-Wei Lo, Shu-Kung Hu
Summary: This paper proposes a sustainable supplier evaluation and selection framework for electronics manufacturing, including four dimensions of economic, social, environmental, and institutional sustainability. By integrating a modified method that combines attribute ratio analysis and the preference ranking organization method, an improved hybrid decision-making analysis model is developed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Manufacturing
Samruddha Kokare, J. P. Oliveira, T. G. Santos, Radu Godina
Summary: This paper evaluates the environmental and economic performance of wire-based directed energy deposition (WAAM) and compares it with other manufacturing processes. The study finds that CNC milling is the most economical and ecological option for the analyzed steel wall.
ADDITIVE MANUFACTURING
(2023)
Article
Engineering, Industrial
Neslihan Top, Ismail Sahin, Sachin Kumar Mangla, Muruvvet Deniz Sezer, Yigit Kazancoglu
Summary: This study investigates the impacts of redesigning products for transition to additive manufacturing (AM) on sustainable production processes. The results show significant reductions in material consumption and CO2 emissions compared to traditional manufacturing. Although the production time for traditional manufacturing is shorter, using AM requires additional time for mold design and manufacturing.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Energy & Fuels
Vasilis Apostolopoulos, Ioannis Mamounakis, Andreas Seitaridis, Nikolas Tagkoulis, Dimitrios-Sotirios Kourkoumpas, Petros Iliadis, Komninos Angelakoglou, Nikolaos Nikolopoulos
Summary: Building stock retrofitting is crucial for achieving sustainable goals in the building sector. This paper introduces a developed online tool called VERIFY, which performs dynamic life cycle analysis and global warming impact assessments for building renovation. The tool analyzes temporal profiles of energy consumption and temperature changes, and can exchange data with other energy simulation engines. The paper also evaluates the impact of energy retrofitting measures for a residential building in Athens, Greece, resulting in significant reductions in primary energy needs and CO2eq emissions.
Article
Green & Sustainable Science & Technology
Qi Gao, Jair Lizarazo-Adarme, Brian K. Paul, Karl R. Haapala
JOURNAL OF CLEANER PRODUCTION
(2016)
Article
Green & Sustainable Science & Technology
Amin Mirkouei, Pantea Mirzaie, Karl R. Haapala, John Sessions, Ganti S. Murthy
JOURNAL OF CLEANER PRODUCTION
(2016)
Review
Green & Sustainable Science & Technology
Amin Mirkouei, Karl R. Haapala, John Sessions, Ganti S. Murthy
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2017)
Article
Agriculture, Dairy & Animal Science
Derrick Risner, Avi Shayevitz, Karl Haapala, Lisbeth Meunier-Goddik, Paul Hughes
JOURNAL OF DAIRY SCIENCE
(2018)
Article
Engineering, Industrial
Hari P. N. Nagarajan, Karl R. Haapala
JOURNAL OF MANUFACTURING SYSTEMS
(2018)
Article
Engineering, Industrial
Kamyar Raoufi, Karl R. Haapala, Tom Etheridge, Sriram Manoharan, Brian K. Paul
Summary: Modular chemical process intensification improves efficiency and environmental performance of chemical processes using microscale operations and devices. Additive manufacturing and powder metallurgy processes are used to produce microscale chemical devices, but their sustainability performance needs further research.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Operations Research & Management Science
Javad Sadeghi, Karl R. Haapala
Proceedings Paper
Green & Sustainable Science & Technology
Hari P. N. Nagarajan, Arvind Shankar Raman, Karl R. Haapala
25TH CIRP LIFE CYCLE ENGINEERING (LCE) CONFERENCE
(2018)
Proceedings Paper
Engineering, Manufacturing
Kamyar Raoufi, Karl R. Haapala, Guel E. Okudan Kremer, Kyoung-Yun Kim, Carolyn E. Psenka, Kathy L. Jackson
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 4
(2017)
Proceedings Paper
Engineering, Manufacturing
Rothanak Chan, Sriram Manoharan, Karl R. Haapala
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 4
(2017)
Proceedings Paper
Engineering, Manufacturing
Vincenzo J. Ferrero, Arvind Shankar Raman, Bryony DuPont, Karl R. Haapala
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 4
(2017)
Article
Energy & Fuels
Amin Mirkouei, Karl R. Haapala, John Sessions, Ganti S. Murthy
Article
Engineering, Multidisciplinary
Carolyn E. Psenka, Kyoung-Yun Kim, Gul E. Okudan Kremer, Karl R. Haapala, Kathy L. Jackson
JOURNAL OF INTEGRATED DESIGN & PROCESS SCIENCE
(2017)
Proceedings Paper
Engineering, Manufacturing
Hari P. N. Nagarajan, Karl R. Haapala
45TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 45)
(2017)
Proceedings Paper
Engineering, Manufacturing
Kamyar Raoufi, Karl R. Haapala, Kathy L. Jackson, Kyoung-Yun Kim, Gul E. Okudan Kremer, Carolyn E. Psenka
45TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 45)
(2017)
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)