2026· Zbornik Veleučilišta u Rijeci· Vol 14, pp. 499-509· 0 citations· 21 references
Abstract
The progressive decarbonization of maritime terminal design and operation includes a series of strategic decisions involving the engagement of relevant resources. The research in the field is focused on supporting these key decisions and selecting the most suitable parameters to describe the terminals’ environmental performance. Starting from an extensive data collection, the research presented in this paper involves: I) selection of environmental parameters available from public and reliable sources; II) consistency and reliability analysis of data concerning these parameters; III) search of correlation among these factors and parameters related to port terminal dimensions, equipment, and traffic; IV) selection of consolidated reliable correlations; V) use of correlations to derive priority in the implementation of the electrification of quays and other green port design criteria (e.g., dimension and equipment compatible with a certain level of emissions) or operational performances (e.g., traffic manageable with a level of tolerable emissions). The focus is on the uncertainties detected in global and local gaseous emissions estimation, with reference to container, cruise, and Ro-Ro terminals, and the identification of the potential effects of these uncertainties in the following methodological steps for appropriate modeling of the emission generation mechanisms and forecasting them depending on the composition of the fleets calling the ports. In this study, these uncertainties in emission factors are presented, interpreted, and correlated with various parameters in view of their systematic use in the definition of green design of ports, starting from the prioritization of the quays to be electrified.
Existing industrial buildings represent a critical but under-addressed field for operational carbon emission reduction, as retrofit decisions are constrained by production continuity, limited investment capacity, and heterogeneous technical options. This study developed a decision support framework integrating the Deci...
Daizhong Tang, Yue-Feng Cao, Shi-Kun Ma et al.· Buildings· 0 citations
The maritime shipping industry is responsible for approximately 3% of global greenhouse gas emissions. As a result, it faces growing regulatory and environmental pressure to shift towards cleaner alternative fuels. Green hydrogen, produced from renewable sources, is the possible alternative to change the maritime ind...
Mariam El-Jamal, Sayan Das, M. Güngörmüşler· Scientific Reports· 0 citations
Transport infrastructure is an essential foundation for the functioning of any state’s economy. At the same time, road construction belongs to material- and energy-intensive industries, whose activities are accompanied by a significant anthropogenic load on the environment. Road construction also requires large volumes...
Decarbonizing construction is vital to achieving global net-zero goals, yet research on the carbon footprint of earthmoving operations is limited. Current estimation methods rely on crude approximations and overlook key operational factors, hindering efforts to optimize these activities environmentally. The goal of...
Tayseir Hegazy, Ibrahim S. Abotaleb, S. Harb et al.· Journal of construction engi...· 0 citations
The selection of an optimal transport mode in modern logistics systems represents a complex multi-criteria decision-making problem requiring the simultaneous consideration of economic, operational, and environmental factors. This study applies the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method to determine the wei...
Nikola Petrović, Vesna Jovanović, J. Mihajlović et al.· Conference proceedings· 0 citations
The rapid development of smart ports has revolutionized the maritime industry, leveraging advanced technologies and data analytics to enhance efficiency, productivity, and sustainability. However, assessing and optimizing the performance of smart ports remains a complex challenge. This study proposes a comprehensive...
Thi Minh Nhut Vo, V. Nguyen· Engineering Research Express· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.