• Energy Research
• 2025-2025close
• ES close
• GB close
• US close
• Sustainability close

Engineers’ work impacts society and the environment and plays a central role in delivering on the United Nations Sustainable Development Goals. However, developing sustainability skills in engineering programs competes with a dense technical curriculum and has proven challenging. The mainstream adoption of generative AI (GAI) tools has prompted a review of teaching and learning, with expanding possibilities as new use cases emerge. This study reviews the impact that GAI is having on engineering education and proposes a framework for the use of GAI to facilitate greater socio-enviro-technical integration in the engineering curriculum. Based on a scoping review of the literature and a conceptual analysis, this paper provides a forward-looking perspective. Artificial intelligence (AI) is also transforming the practice of engineering, triggering the need to adjust graduate attributes accordingly. The increased productivity expected with the rise of AI in the workplace can scale-up the impact of engineering developments and underscores the need for graduates’ sustainability skills. Furthermore, engineers have a prominent role in the development of AI systems. Therefore, in advocating for the need to enhance graduate’s sustainability skills, we emphasize understanding its limitations and the sustainability of AI systems to address the paradox of AI for sustainability and the sustainability of AI itself.

The aim of this research is to find out whether education students and professionals are aware of the seriousness of climate change and the environmental crisis and whether they receive training to deal with it in their professional future. More specifically, this study aims to analyze if they are aware of the degrowth proposal and consider they should train themselves and future generations in it to tackle this ecosystemic crisis profoundly. The methodology used was qualitative, through focused semi-structured in-depth interviews. The results of the data analysis, carried out with Atlas.ti, are structured around four dimensions: (a) Climate change, sustainability-consumption-social implications, (b) Growth, degrowth, collapse, (c) Personal attitudes towards caring for the planet and (d) Educating/training for degrowth. It is concluded that there is a general awareness concerning degrowth as a relevant issue and a possible alternative, but this is not applied in educational and curricular practice. The need to review the initial training plans for future teachers to introduce these elements is discussed. A limitation of this study is the scarcity of literature on degrowth in education and the need to expand the research sample in order to generalize the findings obtained in the research.

This study critically examines the mediating role of employees’ eco-friendly behavior (EFB) and the moderating role of green organizational support (GOS) within the relationship between green human resource management (GHRM) and environmental performance (EP) in Turkey’s hospitality sector. As the global hospitality industry grapples with its significant environmental footprint, this research addresses an acute need for empirically grounded insights into how organizational strategies and employee behaviors can be leveraged to achieve sustainability objectives. The study draws on primary data collected from 346 employees across multiple five-star hotels in Turkey. Data collection was facilitated through structured surveys, and analysis employed confirmatory factor analysis and structural equation modeling. Results provide evidence for EFB’s mediating role and GOS’s moderating effects. Findings underscore the need for comprehensive GHRM strategies synergized with robust GOS systems to foster employee commitment to sustainability goals.

An economic assessment of an innovative solar thermal system called Application to Solar Thermal Energy to Processes (ASTEP) was conducted. It considered its three main subsystems: a novel rotary Fresnel SunDial, Thermal Energy Storage (TES) and Control System. Current Fresnel collectors are unable to provide thermal energy above 150 °C in high-latitude locations. Therefore, the key contribution of this study is the assessment of the economic performance of the ASTEP system used to provide high-temperature process heat up to 400 °C for industries located at low and high latitudes. The ASTEP system is installed at two end-users: Mandrekas (MAND), a dairy factory located in Greece at a latitude of 37.93 N and ArcelorMittal (AMTP), a manufacturer of steel tubes located in Romania at a latitude of 47.1 N. The life cycle costs (LCC), levelised cost of energy (LCOE), energy cost savings, EU carbon cost savings and benefit–cost ratio (BCR) of the ASTEP system were assessed. The results showed that AMTP’s ASTEP system had higher LCC and LCOE than MAND. This can be attributed to the use of two TES tanks and a double-axis solar tracking system for AMTP’s ASTEP system due to its high latitude location, compared to a single TES tank and single-axis solar tracking system used for MAND at low latitude. The total financial savings of the ASTEP system were EUR 249,248 for MAND and EUR 262,931 for AMTP over a period of 30 years. This study demonstrates that the ASTEP system offers financial benefits through its energy and EU carbon cost savings for industries at different latitudes while enhancing their environmental sustainability.

The Digital Grey Divide (DGD) is a phenomenon that refers to the digital inequality existing among the elderly in using digital tools. DGD could generate social exclusion and hinder elderly well-being because today many aspects of life are online. The objective of the research is to compare the urban and rural group to see if a digital divide is present and whether psychological and cognitive well-being can be predictors of usage. The research involved 100 elderly people (belonging to two different areas: one rural and one urban) aged 65 to 90 (M = 72.3; SD = 6.4) with intact cognitive functioning investigated by the MMSE test. A socio-anagraphic module to investigate digital use (DU), a questionnaire on cognitive reserve (CRIq), and a questionnaire investigating well-being (Ben-SSC) were administered. Results showed that the two groups differ in terms of access and use of digital tools (F = 28.34, p < 0.001), with the urban group reporting higher levels of access and use. Moreover, in the urban group, psychological well-being has an inverse relationship with digital, while in the rural group, the relationship between cognitive well-being and use is direct. Therefore, the study aims to highlight how even in developed countries there can be a digital divide (DD) given the risks of exclusion, particularly for the elderly population. For all these reasons, it is necessary to pursue interventions to achieve a higher level of digitalization and sustainable development among the population. Given the importance of this phenomenon, it is necessary to address the issue of DD in various spheres of life: political, social, economic and care.

Digitalization, digitalization, or digital transformation is a phenomenon without which it would be difficult to understand the reality of our time. Although it is often associated with the incorporation of technology into business, the economy, or our own lives, it goes further by involving a transformation process that can significantly improve sustainable corporate development. The work, from the perspective of bibliometric analysis, maps the state of the art in the area of study of digitization, digitization, digital transformation, and sustainability from 72 articles obtained from the Web of Science database, dating from the beginning of time to the year 2024, without limiting our search to a particular type of document or discriminating by year of publication. The software used to carry out this bibliometric analysis was SciMAT. The results allow us to establish digitalization as an area of research that is in full development and a link between different areas of research, with the areas of “Environmental Sciences” and "Green Sustainable Science Technology" being the most often addressed by academics. In addition, this study identifies digitalization and the blockchain as driving themes, leaving other topics such as challenges, artificial intelligence, information technology, or digital transformation with less importance. This allows researchers to expand existing knowledge in the field, position themselves in areas of high relevance and potential impact, and be a starting point for future research.

This study addresses risk management in quality management systems by analyzing risk prioritization using the multi-criteria methods Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Hierarchy Process (AHP). The primary objective was to identify and evaluate key risks, considering emerging factors such as climate change, to strengthen organizational resilience in the long term. A panel of 42 experts prioritized the following risk typologies: (i) geopolitical, (ii) economic, (iii) social, (iv) technological, and (v) environmental. The results revealed an increase in the importance of geopolitical and economic risks for 2024 compared to 2020, while technological and environmental risks decreased. Additionally, risks were projected over the next 10 years, highlighting extreme climate events and biodiversity loss as the most relevant for 2034. The findings emphasize the need for a proactive approach to risk management, aligned with ISO 9001:2015 standards and its recent climate change amendment published in 2024, to adapt organizational strategies for a constantly evolving global environment and ensure long-term sustainability.

In the current context of a necessary reduction in environmental impact, the reuse of heritage buildings is key. Although architectural rehabilitation already significantly reduces this impact, thermal comfort facilities present several challenges, both due to the huge visual impact they entail, compromising buildings’ historical values, as well as the environmental impact due to machines and ducts and the operating energy consumption. This paper demonstrates, through the case study of the Rocafort de Queralt Wine Cellar, that it is possible to reduce to nearly zero the thermal comfort facilities of converted heritage buildings for public cultural use. This historic building, considered one of the “Wine Cathedrals” in Spain, was built in 1918 and is characterized by its architectural style typical of Catalan modernism. The method applied was in situ monitoring, combined with dynamic simulation with DesignBuilder v7 software and NECADA software v2024, considering four different scenarios of the building: (1) the current state; (2) after passive improvements; (3) after architectural rehabilitation; and (4) subject to the climatic conditions expected for 2050 according to IPCC AR4 A2. The conclusions are surprising. In Scenario 2, 87% thermal comfort is reached with zero facilities, and 100% thermal comfort is reached when the location of cultural activities within the building is changed according to geographical orientation and the season of the year.

Last-mile logistics is one of the most complicated operations in the whole logistic process. This concept describes the final leg of a product travel from a warehouse or hub to specific customers. One of the last-mile logistics challenges that courier delivery companies face is route planning. Ineffective route planning can cause operational delays that cascade and affect several last-mile deliveries. Thus, numerous factors need to be considered to plan and optimize effective delivery routes. These involve many extraordinary and unpredictable events, including weather, traffic conditions, and traffic regulations. A lack of accessible data hinders dynamic, efficient, and reliable route planning, leading to these factors being overlooked. In this paper, we propose the use of open data (OD) to overcome these limitations. OD are information available for anyone to access, reuse, and distribute for free with minimal attribution and sharing restrictions. Therefore, the aim of this work is to examine the impact of incorporating specific open data elements on the performance of the Clarke and Wright algorithm, particularly in calculating savings, and identifying optimal routes. The results we obtained showed the effect of considering OD with an increase rate of approximately 2% on the total distance compared to not considering them.