Institution
Technical University of Crete
Recent research
- Climate & EnvironmentOpen access
Cold Ironing can substantially reduce emissions from berthed vessels, but it transfers large and highly variable electrical loads to port-side photovoltaic and battery assets whose condition changes during operation. Static monitoring references may therefore interpret normal age...
- Materials & EnergyOpen access
Iron-based catalysts are widely investigated for CO2 hydrogenation to light olefins due to their low cost, abundance, and ability to form oxidic and carbidic phases involved in the RWGS-FTS pathway. However, supports and promoters can obscure the intrinsic role of iron phase evol...
- BiologyOpen access
ABSTRACT Suboptimal foods, that is, safe and nutritious products that deviate from market standards because of cosmetic defects, packaging damage, or proximity to date labels, constitute a major source of avoidable food waste. Evidence on how firms can reduce this waste and captu...
- Engineering & TechnologyOpen access
This study investigates the influence of soil–structure interaction (SSI) on the Hybrid Force–Displacement (HFD) seismic design method for steel moment-resisting frames (MRFs). The HFD method, which combines the benefits of force-based and displacement-based design, is extended t...
- Climate & EnvironmentOpen access
Distributed Agent-Based Scheduling of Smart Port Operations under Cost and Emissions Constraints
Abstract This paper presents a distributed, emission-aware scheduling framework for smart port energy management, designed to coordinate heterogeneous flexible electric loads under operational, economic, and environmental constraints. The proposed approach addresses the coordinat...
- Society & EconomicsOpen access
The strategic significance of sustainability disclosures in financial markets has been heightened by the institutionalization of environmental, social, and governance (ESG) reporting. Nevertheless, there are ongoing apprehensions about the extent to which ESG communication accura...
- Engineering & TechnologyOpen access
Precise prediction of pressure drop and drag-reduction performance is essential for improving the hydraulic efficiency and reducing the energy demand of crude-oil pipeline transportations. Therefore, this study aims to develop an integrated computational fluid dynamics (CFD)–mach...
- Society & Economics
Explainable Optimized Machine Learning for Predicting Student Self-Regulated Learning
This study examined the utility of an optimized, explainable machine learning (ML) model for predicting students’ self-regulated learning (SRL). Participants were 823 middle school students (52.6% girls) from randomly selected public schools who completed in-person measures of re...