Review
Construction & Building Technology
Surayyn Uthaya Selvan, Soultana Tanya Saroglou, Jens Joschinski, Mariasole Calbi, Verena Vogler, Shany Barath, Yasha Jacob Grobman
Summary: Rapid urbanization has negative impacts on the built and biotic environment, requiring interdisciplinary mitigation strategies. Current nature-based solutions integrated into building envelope design have proven beneficial, but they often overlook the potential to support other living organisms. A multi-species approach is envisioned to facilitate more holistic envelope-design solutions.
BUILDING AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Mohamed Abdel-Basset, Abduallah Gamal, Ripon K. Chakrabortty, Michael Ryan
Summary: The study evaluated sustainable bioenergy production technologies in Egypt using a hybrid multi-criteria decision-making approach. Through DEMATEL and EDAS methods, the most suitable bioenergy technology was identified, providing useful information for energy policy decision makers.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Mohammad Masfiqul Alam Bhuiyan, Ahmed Hammad
Summary: In recent years, there has been a growing need for better resource efficiency, improved productivity, less waste, and increased value through sustainable construction practices in the construction industry. Traditional decision-making in selecting structural materials for construction projects often neglects social and environmental considerations. This research developed a decision support system that integrates multi-criteria decision-making techniques to select the most sustainable structural material, considering all aspects of sustainability. The developed system was validated through a case study and showed that user preferences play a significant role in determining the sustainable option.
Article
Thermodynamics
Mohsen Rezaei
Summary: A novel concept called possibilistic stochastic multi-attribute decision-making (PSMADM) is proposed in this study to address uncertainties in the field of energy policy. The approach is used to rank Iran's biodiesel development policies, with the results indicating that supporting the private sector for more participation in biodiesel development is the best alternative. The study also introduces a new scenario planning method for designing biodiesel scenarios, and utilizes fuzzy SWARA and fuzzy EDAS methods to solve different MCDM models.
Article
Environmental Sciences
Obed Nadari Amabogha, Hemda Garelick, Huw Jones, Diane Purchase
Summary: The use of plants for phytoremediation of metal contaminants from soils is cost-effective and energy crops can add value to the process. Selecting a suitable plant species is crucial, based on criteria such as translocation index, metal and drought tolerance, growth rate, lignocellulosic content, biomass production, calorific value, second generation attribute, and rooting system. This study used multi-criteria decision analysis (MCDA) to select plant species based on a systematic review survey, and identified sunflower and silvergrass as the top candidates for both phytoremediation and bioenergy production.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Egide Manirambona, Stephen M. Talai, Stephen K. Kimutai
Summary: This study prioritized Kenyan power technology options based on sustainable dimensions, evaluating them against economic, social, environmental, and technical factors. Solar PV and Wind emerged as the most promising technologies in Kenya, providing critical policy contributions to the government and energy projects investors.
Article
Computer Science, Artificial Intelligence
Meysam Rabiee, Babak Aslani, Jafar Rezaei
Summary: This paper proposes an anti-biased statistical approach for group decision-making, including extreme, moderate, and soft versions. By eliminating biased decision-makers and assigning different weights to DMs, the approach effectively addresses biased decision-making in various scenarios.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Construction & Building Technology
Laura Laguna Salvado, Eric Villeneuve, Dimitri Masson, Audrey Abi Akle, Nicolas Bur
Summary: This study proposes a Decision Support System based on Multi-Criteria Decision-Making for selecting technologies in building refurbishment. The system allows Decision Makers to browse the solutions space, specify criteria preferences, and assess technologies based on different variables. It is implemented and validated through a use case concerning the choice of insulating materials.
BUILDING AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Pawel Ziemba
Summary: In the contemporary literature on sustainability, there is a growing trend of using Multi-Criteria Decision Analysis (MCDA) methods instead of traditional sustainability indices. This article aims to scientifically analyze the applicability of various MCDA methods in decision-making problems related to sustainability. Based on a literature analysis, the article presents a set of features that determine the possibility of using individual MCDA methods in sustainability problems. The study found that MCDA methods, especially those based on arithmetic aggregation of criteria and fuzzy modifications of classical methods, are more commonly used in sustainability problems than classic sustainability indices. The use of MCDA methods provides more flexibility and functionality in sustainability assessment.
Review
Green & Sustainable Science & Technology
Jenny Gutierrez-Lopez, Ronald G. McGarvey, Christine Costello, Damon M. Hall
Summary: This study provides a systematic literature review of multi-criteria decision-making methods in solid waste management. The study emphasizes the limited inclusion of social impact in multi-objective decision-making and highlights the importance of quantifying social aspects and involving stakeholders in waste management decision-making. A methodological approach is suggested for integrating optimization, social aspects, and stakeholders in waste management.
Article
Environmental Sciences
Seda Sucu, Maria O. van Schaik, Ramazan Esmeli, Djamila Ouelhadj, Timothy Holloway, John B. Williams, Peter Cruddas, D. Brett Martinson, Wei-Shan Chen, Hans J. Cappon
Summary: In the context of circular economy, wastewater can be used to address challenges in transitioning to renewable resources for water, energy, and nutrients. Despite extensive research and development in resource recovery from urban wastewater, its implementation remains limited. This study introduces a decision support tool framework to assist in selecting the best treatment train for resource recovery, taking into account various factors such as operational limitations and sustainability objectives.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
Soheila Zarei, Omid Bozorg-Haddad, Vijay P. Singh, Hugo A. Loaiciga
Summary: Water use, inefficient irrigation methods, and climate change have led to depletion and insecurity of water resources, impacting the agricultural system's stability. Sustainable management performance requires defining benchmarks and comparing them, with indicators of water, energy, and food sustainability playing a crucial role. Through the use of Analytical Hierarchy Process (AHP), this study selected and ranked sustainability performance indicators (SPIs) for agricultural systems, with indicators such as water consumption and groundwater stability being identified as key for system sustainability on a basin scale.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Software Engineering
Aleksandr Podvesovskii, Alena Zakharova, Dmitriy Korostelyov, Aleksandr Kuzin
Summary: This article discusses the DecisionMaster decision support system, highlighting its structure, functions, and the various decision-making methods it can support. The system's ability to generalize decision problems and use multiple methods simultaneously makes it suitable for research, commercial projects, and education.
Article
Green & Sustainable Science & Technology
Raphael Dias Brandao, Evelyne Thiffault, Annie Levasseur
Summary: This paper presents a decision support tool to guide public decision makers in selecting the best residual forest biomass heating project and evaluating its sustainability.
Article
Urban Studies
Adeeb A. Kutty, Murat Kucukvar, Nuri C. Onat, Berk Ayvaz, Galal M. Abdella
Summary: Cities in the 21st century face challenges, and the development of smart cities offers hope for the future. However, the complexity of smart cities requires comprehensive evaluation. Fuzzy-based multi-criteria decision models provide a solution for dealing with uncertainties. This study proposes a novel fuzzy expert-based multi-criteria decision support model and classifies smart cities into high, medium, and low-performing categories through clustering analysis. The results show that London is the top-ranked smart city, and other cities also perform well in terms of sustainability, urban resilience, and livability.
Article
Environmental Sciences
Konstantina Dimakopoulou, John Douros, Evangelia Samoli, Anna Karakatsani, Sophia Rodopoulou, Despina Papakosta, Georgios Grivas, George Tsilingiridis, Ian Mudway, Nicholas Moussiopoulos, Klea Katsouyanni
ENVIRONMENTAL RESEARCH
(2020)
Article
Green & Sustainable Science & Technology
Eleni Feleki, Christos Vlachokostas, Nicolas Moussiopoulos
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Engineering, Environmental
Christos Vlachokostas, Charisios Achillas, Alexandra Michailidou, George Tsegas, Nicolas Moussiopoulos
Article
Green & Sustainable Science & Technology
Ch Vlachokostas, A. Michailidou, Ch Achillas
Summary: The increasing waste production worldwide and the need for sustainable energy access has led to a focus on Waste-to-Energy solutions. Multi-Criteria Decision Analysis is an effective tool to address the complex decision-making process in WtE management. Studies show a growing trend in research on WtEMS, with Asian and European countries leading the way in MCDA applications.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Environmental Sciences
Christos Vlachokostas, Charisios Achillas, Vasileios Diamantis, Alexandra V. Michailidou, Konstantinos Baginetas, Dimitrios Aidonis
Summary: The paper introduces a methodology for decision making in the efficient management of biodegradable waste, particularly focusing on energy and organic fertilizer recovery. It can be applied by public authorities, producers and stakeholders to promote sustainable waste management programs. A real-case study in Greece demonstrates the potential benefits of the proposed installation in managing waste and generating biogas and renewable energy.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Ranjeet S. Sokhi, Vikas Singh, Xavier Querol, Sandro Finardi, Admir Creso Targino, Maria de Fatima Andrade, Radenko Pavlovic, Rebecca M. Garland, Jordi Massague, Shaofei Kong, Alexander Baklanov, Lu Ren, Oksana Tarasova, Greg Carmichael, Vincent-Henri Peuch, Vrinda Anand, Graciela Arbilla, Kaitlin Badali, Gufran Beig, Luis Carlos Belalcazar, Andrea Bolignano, Peter Brimblecombe, Patricia Camacho, Alejandro Casallas, Jean-Pierre Charland, Jason Choi, Eleftherios Chourdakis, Isabelle Coll, Marty Collins, Josef Cyrys, Cleyton Martins da Silva, Alessandro Domenico Di Giosa, Anna Di Leo, Camilo Ferro, Mario Gavidia-Calderon, Amiya Gayen, Alexander Ginzburg, Fabrice Godefroy, Yuri Alexandra Gonzalez, Marco Guevara-Luna, Sk Mafizul Haque, Henno Havenga, Dennis Herod, Urmas Horrak, Tareq Hussein, Sergio Ibarra, Monica Jaimes, Marko Kaasik, Ravindra Khaiwal, Jhoon Kim, Anu Kousa, Jaakko Kukkonen, Markku Kulmala, Joel Kuula, Nathalie La Violette, Guido Lanzani, Xi Liu, Stephanie MacDougall, Patrick M. Manseau, Giada Marchegiani, Brian McDonald, Swasti Vardhan Mishra, Luisa T. Molina, Dennis Mooibroek, Suman Mor, Nicolas Moussiopoulos, Fabio Murena, Jarkko Niemi, Steffen Noe, Thiago Nogueira, Michael Norman, Juan Luis Perez-Camano, Tuukka Petaja, Stuart Piketh, Aditi Rathod, Ken Reid, Armando Retama, Olivia Rivera, Nestor Y. Rojas, Jhojan P. Rojas-Quincho, Roberto San Jose, Odon Sanchez, Rodrigo J. Seguel, Salla Sillanpaa, Yushan Su, Nigel Tapper, Antonio Terrazas, Hilkka Timonen, Domenico Toscano, George Tsegas, Guus J. M. Velders, Christos Vlachokostas, Erika von Schneidemesser, V. P. M. Rajasree, Ravi Yadav, Rasa Zalakeviciute, Miguel Zavala
Summary: This study, coordinated by the WMO/GAW programme, aims to understand the behavior of key air pollutants during the COVID-19 pandemic period. The analysis focuses on changes in air quality in cities across the globe, with decreases observed in NO2 and NOx concentrations correlating with reduced mobility. However, complex signals suggest that sources other than vehicular emissions significantly contributed to the changes in air quality.
ENVIRONMENT INTERNATIONAL
(2021)
Article
Green & Sustainable Science & Technology
Ch Kouridis, Ch Vlachokostas
Summary: This paper presents a methodological scheme to estimate the environmental and social benefits associated with promoting vehicle fleet electrification in urban areas, focusing on the three largest cities in Greece. Implementing electrification of vehicles helps reduce energy consumption, emissions, and save social costs.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Environmental Sciences
Eleni Feleki, Nicolas Moussiopoulos
Summary: Mediterranean cities need to reduce emissions to achieve the goals of the Paris Agreement, and can adopt methodologies developed for this purpose. The new framework is guiding cities towards a greener and more sustainable transition, enabling the Mediterranean Basin to join the global push towards net-zero emissions.
Article
Engineering, Marine
Theodoros Nitis, Nicolas Moussiopoulos
Summary: This paper highlights the role of geoinformatics in coastal meteorology and climatology, specifically in improving the performance of a Mesoscale Meteorological Model. The development of a new scheme utilizing satellite data and Geographic Information Systems is evaluated using the coastal Metropolitan Area of Athens as a case study. The results show a general improvement in model performance, with temperature showing the best improvement, followed by wind direction and wind speed.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Physics, Fluids & Plasmas
George Efthimiou, Fotios Barmpas, George Tsegas, Nicolas Moussiopoulos
Summary: The aim of this study is to develop an algorithm for predicting wind speed statistics in renewable energy environments, achieved through two phases including the construction of a WSS database and using the algorithm to find records with similar meteorological conditions. The CFD model, including RANS and LES turbulence methodologies, is evaluated using experimental data from the MUST wind tunnel experiment.
Article
Geosciences, Multidisciplinary
Antti Hellsten, Klaus Ketelsen, Matthias Suehring, Mikko Auvinen, Bjoern Maronga, Christoph Knigge, Fotios Barmpas, Georgios Tsegas, Nicolas Moussiopoulos, Siegfried Raasch
Summary: Large-eddy simulation (LES) is a physically sound approach to study complex turbulent processes, but high computational costs are often prohibitive. Implementing an online LES-LES nesting scheme can reduce computational costs and improve solution accuracy.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)