Article
Energy & Fuels
Matteo Prussi, Lorenzo Laveneziana, Lorenzo Testa, David Chiaramonti
Summary: The freight sector is expected to play a crucial role in modern economies, which calls for urgent actions to reduce environmental pressure. The use of electricity is a major option for decarbonizing transportation, especially in heavy-duty vehicles. In this article, a comparison and modeling of various options for using electricity to power heavy-duty vehicles, such as e-fuels, eLNG, eDiesel, and liquid Hydrogen, were performed. The results showed that using electricity directly or in the production of low-carbon e-fuels can significantly reduce greenhouse gas emissions. Considering not only the absolute emissions reduction potential but also new infrastructure needs and technology maturity is important when comparing different technologies.
Article
Chemistry, Physical
Akihiro Watabe, Jonathan Leaver
Summary: The emergence of used fuel cell vehicles significantly improves economic and emissions savings, especially when they exceed 55%-70% of the total light-duty vehicle fleet. The study highlights the importance of fuel cell cost and electrolyser efficiency in achieving benefits, and shows that the cumulative life cycle emissions in the vehicle fleet can increase depending on the production method of hydrogen. Maintaining the early time growth of fuel cell vehicles to around 50% by 2030 could help Japan achieve its 2050 emissions reduction target.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Michal Wojcieszyk, Yuri Kroyan, Ossi Kaario, Martti Larmi
Summary: A mathematical model based on fuel properties was developed to accurately estimate fuel consumption and tailpipe CO2 emissions from heavy-duty vehicles. The model was applied to simulate the effect of different renewable fuel blends, showing that some blends increase fuel consumption while others improve fuel economy.
Article
Multidisciplinary Sciences
Jonathan Vincents Eriksen, Sebastian Marco Franz, Julius Steensberg, Adam Vejstrup, Mikkel Bosack, Rasmus Bramstoft, Fabian Scheller
Summary: This study assesses future demand for renewable fuels in Germany by combining technological progress and socio-economic pathways in an energy system analysis. The findings show that renewable fuel demand varies depending on electrification levels, and considering socio-economic aspects and behavioral change can significantly alter demand projections.
Article
Energy & Fuels
Philipp Runge, Christian Solch, Jakob Albert, Peter Wasserscheid, Gregor Zoettl, Veronika Grimm
Summary: The transformation towards climate neutrality requires renewable electricity and climate-neutral energy carriers such as hydrogen and its derivatives. This paper examines the economic efficiency of various imported e-fuels for the year 2035, and finds that the choice of production site has a major impact on mobility cost. Methanol, cryogenic hydrogen, and liquid organic hydrogen carriers are the most favorable options for all examined locations.
Article
Green & Sustainable Science & Technology
Lorenzo Usai, Christine Roxanne Hung, Felipe Vasquez, Max Windsheimer, Odne Stokke Burheim, Anders Hammer Stromman
Summary: Electric vehicles are crucial for reducing emissions from light duty vehicles, with fuel cell electric vehicles (FCEVs) offering potential benefits in driving range and fueling/charging rates. However, challenges such as lack of fueling infrastructure and high production costs hinder widespread adoption. Constant data updates and early detection of environmental impacts are necessary to guide technological progress. Assessments show that FCEV systems have lower environmental performance in certain components, but future technological developments combined with renewable energy sources could lead to significant reductions in environmental footprints.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
A. Dotto, F. Satta, U. Campora
Summary: In recent years, there has been increasing interest in methanol, ammonia, and methane-hydrogen blends as green fuels for the maritime sector. This study investigates the energy, environmental, and economic performances of these alternative fuels on large-size cruise ships. The study considers different routes, operating conditions, and seasons, and focuses on power configurations integrating combined gas electric and steam plants with reciprocating engines. The results show that methane-hydrogen blends have the highest cogeneration efficiencies and that ammonia and methane-hydrogen blends comply with future environmental regulations. Methanol is seen as a short-term option due to compliance issues. The economic viability of these power plants is also assessed, with comparable costs for ammonia and methanol-fueled ships, but higher costs for methane-hydrogen blends.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Environmental
Marco Raugei, Mashael Kamran, Allan Hutchinson
Summary: The UK is aggressively electrifying its light duty vehicle fleet with a goal to ban the sale of new internal combustion engine cars by 2030. Research indicates that a shift towards shared mobility schemes is crucial to offset resource depletion and environmental impacts. The development of electric vehicles helps reduce carbon emissions and air pollution.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Environmental Studies
Lih Wei Yeow, Yuting Yan, Lynette Cheah
Summary: Alternatives to conventional diesel engines, such as battery electric vehicles (BEVs) and hydrogen fuel cell vehicles (FCVs), offer promising solutions for decarbonizing road freight. A study comparing the life cycle greenhouse gas (GHG) emissions of diesel, BEVs, and FCVs in Singapore found that BEVs powered by the 2019 electricity mix had lower GHG emissions than conventional diesel, while doubling battery capacity to meet travel range requirements increased emissions. FCVs using gaseous hydrogen achieved GHG reductions of 23-30% while meeting range requirements. Obtaining updated and reliable data on vehicle production is critical for assessing emerging technologies and enacting evidence-based decarbonization policies for road freight.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Environmental Studies
Chunhua Ju, Huajin Liu, Aidi Xu, Jie Zhang
Summary: This research analyzes the impacts of e-commerce and green logistics on the sustainable development of 21 emerging and developing countries in Asia from 2000 to 2021. The results show that e-commerce, green logistics, green electricity generation, good governance, and ICT diffusion have a positive effect on sustainable development. However, the consumption of fossil fuels poses a significant obstacle to achieving sustainability. Additionally, foreign direct investment does not significantly affect the sustainable development index. It is important for countries to promote digital literacy and attract green foreign direct investment to foster sustainable practices.
Article
Energy & Fuels
Zitong Liao, Morteza Taiebat, Ming Xu
Summary: Vehicle-to-Grid (V2G) services use idle EV batteries for energy storage, but face issues like inconvenience and degradation. Shared autonomous electric vehicle (SAEV) fleets could be a solution, with V2G reducing operating costs by up to 19.6% and generating an average revenue of $2,272 per vehicle annually while saving 66.5 tons of GHG emissions per vehicle per year.
Article
Green & Sustainable Science & Technology
Albert Alonso-Villar, Brynhildur Davidsdottir, Hlynur Stefansson, Eyjolfur Ingi Asgeirsson, Ragnar Kristjansson
Summary: This paper uses Iceland as a case study to assess the feasibility and impact of different alternative fuel heavy-duty trucks, considering factors such as energy security, technical feasibility, and air pollutant emissions. The results suggest that battery-electric trucks have the highest environmental and economic benefits, while renewable diesel is a potential solution for regional trucks.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Christian Moretti, Vikas Patil, Christoph Falter, Lukas Geissbuhler, Anthony Patt, Aldo Steinfeld
Summary: This study analyzes the technical performance, costs and life-cycle greenhouse gas emissions of producing various fuels using air-captured water and CO2, and concentrated solar energy as the heat source. The study found that, in the near-term future, these solar thermochemical fuel production pathways can achieve cost-competitiveness compared to e-fuels, with minimum fuel selling prices ranging from 42-76 euro/GJ. In the long-term future, advancements in technology could further improve the solar-to-fuel efficiency, resulting in even lower minimum fuel selling prices and over 80% greenhouse gas savings.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Thermodynamics
Antonio Garcia, Javier Monsalve-Serrano, Rafael Lago Sari, Shashwat Tripathi
Summary: This study explores different pathways to reduce CO2 emissions in urban public transportation systems through hybrid powertrains and alternative solutions such as e-fuels, obtaining valuable findings in the case study of Valencia.
Article
Energy & Fuels
Leo Strobel, Jonas Schlund, Marco Pruckner
Summary: In recent years, electric vehicles have become the primary tool for decarbonization in the transport sector. However, the widespread adoption of electric vehicles also presents new opportunities and challenges for regional and national power systems. This study finds that optimizing the charging of electric vehicles can help avoid national peak loads and integrate more renewable energy, but it may increase peak loads at transmission grid substations.
Article
Business
Jafar Heydari, Pegah Bineshpour, Grit Walther, M. Ali Ulku
Summary: This paper addresses conflicting objectives in a two-echelon retailer-manufacturer green retailing channel and develops a coordination mechanism to reconcile both members' interests. By applying the novel revenue-cost sharing along with a buyback (RCS&B) contract as an incentive mechanism, conflicts can be effectively managed and ordering and sales effort decisions throughout the channel can be coordinated.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2022)
Article
Management
Michael Wolff, Tristan Becker, Grit Walther
Summary: Replacing fossil fuels with renewable liquid fuels can significantly reduce emissions in the transport sector, but requires extensive investments. We develop a mathematical model to determine the optimal design and operation of renewable fuel supply chains to support policy decisions. The model considers various resource origins and decision factors.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Environmental
Valentin Sommer, Tristan Becker, Grit Walther
Summary: The study examines the impact of political regulations on the economic and environmental burden of necessary treatment infrastructure for end-of-life glass and carbon fiber reinforced plastic waste. Through Lifecycle Impact Assessments and mathematical optimization tools, the research shows how recycling quotas affect the design of recycling systems.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Transportation Science & Technology
Nicolas Dirks, Maximilian Schiffer, Grit Walther
Summary: Cities worldwide are facing air quality issues due to transportation emissions. Replacing traditional buses with electric buses provides an opportunity to improve air quality. Bus network operators are seeking optimal transformation plans to integrate electric buses into their fleets, considering the installation of necessary charging facilities. A comprehensive integration of electric buses is feasible and economically beneficial, with medium-power charging facilities and medium-capacity batteries being the optimal choice.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Operations Research & Management Science
Hendrik Schaap, Maximilian Schiffer, Michael Schneider, Grit Walther
Summary: User-centered logistics that aim at customer satisfaction are important in the growing e-commerce and home delivery industry. This study focuses on the vehicle routing problem with multiple time windows (VRPMTW) and presents an algorithm that optimizes delivery routes by selecting the best time window for each customer. The algorithm improves the average solution quality compared to other algorithms and demonstrates the benefits of offering multiple time windows for logistics service providers and customers.
TRANSPORTATION SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Ali Abdelshafy, Grit Walther
Summary: This paper analyzes the potential of coupling Carbon Capture and Utilization (CCU) with the supply chains of the construction industry by carbonating concrete products and waste concrete. The results show that the annual sequestration capacity in the German state of North Rhine-Westphalia is up to 1 Mt CO2, with an average transportation distance of 37.4 km. This study provides insights into the CO2 sequestration capacities and transportation costs in the CCU value chain.
JOURNAL OF CO2 UTILIZATION
(2022)
Article
Energy & Fuels
Anika Linzenich, Linda Engelmann, Katrin Arning, Tristan Becker, Michael Wolff, Grit Walther, Martina Ziefle
Summary: The study found that location is the most important factor when choosing fuel production facilities, followed by raw material transport, while plant size and raw material type are less significant. The most preferred scenario is to install a small bio-hybrid fuel production plant in an industrial area rather than in agricultural or pristine environments.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Construction & Building Technology
Ali Abdelshafy, Grit Walther
Summary: This paper presents a Dynamic-Locational MFA model that integrates spatial, temporal, and material characteristics of construction and demolition waste (CDW) into material flow analysis. It quantifies the supply and demand of CDW recycling and identifies the synergies between recycling and construction activities. This is important for resource efficiency and restructuring the value chain of the construction sector.
BUILDING RESEARCH AND INFORMATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Makbule Kandakoglu, Grit Walther, Sarah Ben Amor
Summary: This paper proposes a new robust multicriteria clustering methodology for portfolio decision making, considering uncertain criteria evaluations, decision maker preferences, and constraints. The methodology combines an Integer Programming model and the PROMETHEE method to generate optimal portfolios that comply with given constraints. The proposed model is enhanced by embedding it into the SMAA framework to consider uncertainties. The methodology is validated using data from a bridge maintenance program.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Review
Engineering, Environmental
Julia Schleier, Martin Simons, Kathrin Greiff, Grit Walther
Summary: This study aims to quantify the future waste masses of EPS-based ETICS in Germany and evaluate alternative treatment options. The results show a significant increase in waste quantities, highlighting the need for more recycling methods and planning of waste treatment infrastructures.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Ali Abdelshafy, Daniel Franzen, Amelie Mohaupt, Johannes Schuessler, Andreas Buehrig-Polaczek, Grit Walther
Summary: This study focuses on the CO2 emissions associated with cast iron production and introduces an interdisciplinary framework to study the environmental impact, technical performance, and production costs. The results highlight the role of the smelting process and renewable energies in reducing the carbon footprint. Increasing the steel scrap content can achieve significant reductions in CO2 emissions.
JOURNAL OF SUSTAINABLE METALLURGY
(2023)
Article
Green & Sustainable Science & Technology
Rainer Radloff, Ali Abdelshafy, Grit Walther
Summary: North-Rhine Westphalia is a major hub for steel production in Germany and Europe, with a heavy reliance on primary production route resulting in significant CO2 emissions. The paper aims to quantify the changes in energy and material flows over time by integrating top-down energy and material flow models with bottom-up process models, in order to develop prospective scenarios towards climate-neutral steel production by 2045. The findings highlight the additional demand for renewable energies and the impact of partial recourse to natural gas as a reducing agent, providing relevant implications for policymakers to develop realistic strategies for carbon neutrality.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Philipp A. Trotter, Tristan Becker, Renaldi Renaldi, Xinfang Wang, Radhika Khosla, Grit Walther
Summary: This review examines the links between food cold chain and sustainable development goals and identifies areas that need further research and exploration. It suggests explicitly considering the interconnections between sustainable development goals, deploying system-level approaches, and focusing on localized solutions in underdeveloped contexts.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Sepehr Hendiani, Grit Walther
Summary: In this study, a new method called TOPSISort-L is proposed to classify alternative solutions under different circumstances by using the likelihoods of IVIFSs. By developing the conventional fuzzy TOPSIS technique with a newly proposed decision matrix, a novel selection mechanism for ideal solutions, and a likelihood-based closeness metric, this method can achieve accurate classification when characteristic profiles information is available and approximate classification when it is missing. Finally, the validity and adaptability of the method are demonstrated by comparing it with various existing methodologies.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Chemistry, Multidisciplinary
Angel L. Merchan, Thomas Fischoeder, Johann Hee, Marcus S. Lehnertz, Ole Osterthun, Stefan Pielsticker, Julia Schleier, Till Tiso, Lars M. Blank, Juergen Klankermayer, Reinhold Kneer, Peter Quicker, Grit Walther, Regina Palkovits
Summary: Plastics have become an integral part of life and pose major environmental challenges. The circular economy aims to address this by utilizing plastic residues as valuable raw materials. Biomass-based bioplastics offer the potential for closed carbon cycles, but their increasing market penetration requires appropriate recycling technologies. This minireview summarizes current knowledge on the recycling of novel biomass-based bioplastics and highlights the importance of maintaining chemical functionality. Available methodologies for thermal, chemo-catalytic, and bio-catalytic recycling are discussed, along with insights from LCA studies. The review emphasizes the need for viable technologies for chemical recycling in the growing field of biomass-based plastics.
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)
