Search Results (31)

Hybrid electric mining trucks operating in open-pit environments encounter highly variable gradients and payload conditions that standard energy management strategies fail to address adequately. Existing approaches are predominantly calibrated for full-load scenarios and neglect the accelerated battery degradation resulting from sustained high-power cycling, undermining long-term operational viability. This study presents a multi-objective energy management framework that couples real-time driving condition recognition with dynamic programming (DP) optimization for a 130-tonne hybrid mining truck. Field data collected from an open-pit mine in Heilongjiang Province were used to construct six physically representative driving conditions via principal component analysis and K-means clustering. A Bidirectional Gated Recurrent Unit (Bi-GRU) network (2 layers, 128 hidden units per direction) was trained on a route-based temporal split, attaining 95.8% classification accuracy across all six conditions. Condition-specific powertrain modes were subsequently defined, and a DP formulation with a weighted-sum cost function was solved to jointly minimize diesel consumption and battery capacity fade—quantified through a semi-empirical effective electric quantity metric. A marginal rate of substitution (MRS) analysis was conducted to identify the optimal trade-off between fuel economy and battery life preservation. In the DP cost function, the weight coefficient μ (ranging from 0 to 1) governs the relative emphasis placed on battery degradation minimization versus fuel consumption minimization: μ = 0 corresponds to pure fuel minimization, whereas μ = 1 corresponds to pure battery degradation minimization. The MRS analysis identified μ = 0.1 as the knee point of the Pareto trade-off: relative to pure fuel minimization (μ = 0), this setting reduces effective electric quantity by 6.1% while increasing fuel consumption by only 1.4% (MRS = 4.36). Against a rule-based baseline, the proposed strategy improves fuel economy by 12.3% and extends battery service life by 15.7%. Co-simulation results were validated against onboard fuel-flow measurements; absolute simulated and measured fuel consumption values are reported route-by-route, with deviations within 4.5%. A three-layer BP neural network (3 inputs, two hidden layers of 20 and 10 neurons, 1 output) trained on the DP solution reproduces near-optimal performance—with fuel consumption and effective electric quantity increases below 1.0% and 1.1%, respectively—while reducing computation time by over 96% (from approximately 52,860 s to 1836 s for the 1800 s driving cycle), demonstrating practical feasibility for real-time deployment. Full article

This article addresses a major challenge in circular economy accounting: assessing the social dimension, particularly social ties, which are often immaterial and difficult to capture. It examines a case study of how a local project managing organic waste and unsold goods fosters social ties in a priority urban neighborhood in France, and how these dynamics can be apprehended through an alternative qualitative accounting approach. The study draws on an ethnographic case of the MatOrGa project, combining participant observation, semi-structured interviews, discourse grounded analysis, and actor and flow mapping. Situated within counter-accounting and critical accounting, the research emphasizes social ties that extend beyond purely economic logic, spanning social, ecological, and economic dimensions. The new concept of counter-accounting utterances is introduced to describe empirical accounts that make visible practices, relationships, and social effects often overlooked in conventional accounting and sustainability reporting. The study shows how ethnography can function as a form of counter-accounting, producing qualitative representations of social impact that resist standardization. The findings advance social and sustainability accounting by offering a situated and reflexive approach to assessing the social impact of circular economy initiatives, while also opening the way for context-sensitive non-financial reporting. Full article

Energy recovery technology is becoming a crucial part of modern approaches that address decarbonization, efficiency, and transitioning into a circular economy. In addition, apart from its advancements in efficiency and environmental benefits, its progress appears to be progressively limited due to its maturity and increasing complexity. In this case, innovation that focuses solely in the firm appears ineffective because more and more important knowledge in terms of innovation in processes and environmental aspects is becoming and remaining outside of organizational boundaries. In this paper, open innovation will be explored in its function as a structural innovation method of advancing energy recovery technology. The paper employs the narrative literature review of peer-reviewed literature indexed in the Scopus database to explore the implications of the outside-in model of open innovation, the inside-out model of open innovation, and the coupled model of open innovation with respect to the primary recovery processes of energy such as combustion, gasification, pyrolysis, anaerobic digestion, and landfill gas recovery. The literature incorporates findings about the implications of knowledge inflows and outflows with respect to the mentioned energy recovery processes. The results show that open innovation efficacy strongly varies according to the degree of technological maturity and performance issues, in that outside-in open innovation tends to be very effective in mature and semi-mature technology sectors, where incremental improvements in efficiency require specialized knowledge outside the industry, while coupled open innovation is crucial for addressing system-wide issues in areas such as emissions, regulatory compatibility, and infrastructure integration, while inside-out innovation is largely a means of facilitating technology dissemination and standardization once a degree of technological maturity had been realized. This study, through the association of selective open innovation practices with corresponding energy recovery technology and challenges, aims to provide a more nuanced perspective on the assistive potential of collaborative innovation in effecting sustainable development in energy recovery technology. Full article

Many emerging economies seek to lower carbon intensity while remaining heavily dependent on fossil fuels. This paper examines how sustainable finance, eco-innovation, and the energy mix shape Tunisia’s low-carbon transition. We use quarterly data for 2000–2023 and an econometric environmental-impact model that links carbon intensity to green finance, innovation, renewable and fossil energy, openness, income, and demographic factors. The results show that sustainable finance consistently reduces carbon intensity across all emission states, with stronger effects when emissions are high. The energy mix is crucial: a larger share of renewable energy lowers carbon intensity, while higher fossil energy use increases it and reinforces fossil carbon lock-in. Eco-innovation has its strongest mitigation effects in high-intensity situations, suggesting delayed effects linked to limited absorptive capacity and technology diffusion. Openness and demographic pressure tend to raise emissions through scale and consumption channels. Overall, the findings depict a finance-anchored but energy-constrained transition. They indicate that Tunisia and similar MENA economies can accelerate decarbonization by scaling credible sustainable finance instruments, speeding up renewable deployment, and strengthening the innovation and governance framework that supports green investment, innovation policy, and energy sector reform in semi-industrialized economies. Full article

Amid growing sustainability and ethical concerns, digital innovation increasingly requires integrating social, environmental, and governance responsibility into technological development. However, little is known about how organizations in emerging economies—particularly in North Africa—operationalize these principles in practice. This study addresses this gap by exploring how institutional and economic actors in Morocco incorporate responsibility principles into their digital innovation strategies. Adopting an exploratory qualitative design, we conducted 27 semi-structured interviews with digital managers from public organizations (ministries, institutions, and local authorities) and private firms (technology companies, start-ups, and large corporations). The central research question guiding this study is: How do Moroccan organizations perceive and implement the principles of responsible digital innovation (RDI)? Data were analyzed using NVivo 14 software through thematic coding and triangulated with policy documents to enhance validity. The results reveal growing awareness of digital sustainability issues—particularly energy efficiency, accessibility, and data protection—yet the degree of responsible practice varies by sector, firm size, and regulatory environment. Key obstacles include limited expertise, absence of ethical performance metrics, and competitive pressures constraining investment in RDI. Conversely, ethical charters, frugal design, and stakeholder engagement emerge as key drivers. The study concludes that embedding responsibility in digital innovation requires shared governance frameworks, supportive public policies, and cross-sector collaboration to promote inclusive and sustainable technological progress. While context-specific, this research opens avenues for comparative and quantitative studies on RDI across emerging economies. Full article

Accurately understanding the impact of Significant Wave Height (SWH) on mariculture productivity is crucial for developing a sustainable blue economy and mitigating the effects of increasing marine extreme events under climate change. However, a significant research gap exists in macroscale empirical tools capable of quantifying the complex, non-linear, and spatially non-stationary relationships between SWH and mariculture yield. Addressing this, our study focused on the Bohai and Yellow Seas, a critical mariculture region in China. We developed five novel SWH indices (LSDI, MSDI, HSDI, RSI, NDSI) to statistically link SWH with the Unit Area Yield (UAY) using buoy-calibrated ERA5 reanalysis data and regional fishery statistics. Geographically Weighted Regression (GWR) was further employed to uncover the spatial heterogeneity of this relationship. Results demonstrated that the Normalized Difference SWH Index (NDSI) most effectively captured the SWH-UAY relationship (r = 0.61, R² = 0.37), as its non-linear form integrates the positive effects of low SWH conditions and the negative effects of high SWH conditions. GWR analysis revealed significant spatial non-stationarity, with the SWH impact on yield being stronger in the eastern and southern open waters of the Yellow Sea and weaker in the northern semi-enclosed Bohai Sea. The index framework and spatial analysis method developed in this study provide a transferable tool for quantifying the impact of physical oceanographic processes on mariculture productivity at a macro scale, which can offer a scientific basis for climate-resilient mariculture zoning and adaptive management. Full article

Stingless bees, particularly Tetragonula pagdeni, are vital for both ecosystems and the economy due to their pollination services and nest products. However, little is known about their nesting habits. This study investigated the nesting ecology of Tetragonula pagdeni in West Bengal, India. The species was found inhabiting a variety of landscapes, including agricultural, forest, rural, semi-urban, and urban areas, with a greater abundance in rural areas featuring mixed vegetation. Colonies, which were eusocial, perennial, and cavity-nesting, occupied diverse substrates, including tree trunks, building walls, rock crevices, electric poles, and field ridges—tree trunks and walls being the most common. Wild nests were located at heights ranging from 0 to 13.46 m, mostly around 2 m. Nest entrances varied in shape (circular, oval, slit-like, or irregular), with a longest opening axis of 10.50 ± 2.94 mm, and were oriented in multiple directions. Internally, nests measured 198.31 ± 86.36 mm in length and 142.73 ± 17.28 mm in width. Nests featured brood zones surrounded by honey and pollen pots, along with structure-supporting elements like the involucra and pillars. Brood cells were light brown and oval; those for workers and drones were similar, while queen cells were larger. Honey pots were light to dark brown, oval, dome-shaped, or irregular. Each involucrum was a thin, flat sheet, and the pillar was short, narrow, thread-like. These findings offer valuable insights into the distribution, nesting behaviour, and nest architecture of Tetragonula pagdeni, supporting its conservation and sustainable management. Full article

Pressure on fresh water resources has been aggravated in recent decades, basically due to population growth, rapid urbanization, and global warming. Integrated engineering solutions and the circular economy, considering the urban water cycle as a whole, are becoming fundamental, particularly in arid and semi-arid regions under permanent or recurrent hydric deficit. This study aims to develop and present an integrated engineering solution for water supply, wastewater collection, and treated wastewater reuse for landscape irrigation in a large, topographically complex, and arid to semi-arid coastal urban region at the south of Santiago Island, Cape Verde. The region is one of the driest and most arid of the Island, with a current average annual precipitation between about 100 and 200 mm, and has very limited underground water resources. The main study area, with about 600 ha, has altitudes ranging from values close to sea level up to about 115 m and has several topographic difficulties, including several relatively rugged zones. The devised water supply system considers four altimetric distribution levels, three main reservoirs connected to each other by a serial system of pipelines with successive pumping, a fourth downstream reservoir for pressure balance in one of the levels, and desalinated water as the source. The sanitary sewer pipes of the urbanizations drain to an interceptor system that operates predominantly in open channel flow in a closed pipe. The long interceptor crosses laterally along the coast several very dug valleys in the path to the Praia Wastewater Treatment Plant in the east, and requires several conduits working under pressure for the crossings, either lifting or governed by gravity. The under-pressure pipeline system of recycled water is partially forced and partially ruled by gravity and transports the treated wastewater from the plant in the opposite direction of the interceptor to a natural reservoir or lake located in the region of urbanizations and the main green spaces to be irrigated. The conceived design of the interceptor and recycled water pipeline minimizes the construction and operation costs, maximizing their hydraulic performance. Full article

As sustainability becomes increasingly central to organizational strategy, social economy organizations (SEOs) are rethinking their business models. This study employs stakeholder analysis using the value mapping (VM) tool developed by Short, Rana, Bocken, and Evans for the development of the VOLTO JÁ project. The objective of the VOLTO JÁ project is to operationalize a senior exchange programme between SEOs. The VM approach extends beyond conventional customer value propositions to prioritize sustainability for all stakeholders and identify key drivers of sustainable business model (SBM) innovation. The multi-stakeholder methodology comprises the following elements: (1) sequential focus groups aimed at enhancing sustainable business thinking; (2) semi-structured interviews; and (3) workshop to facilitate qualitative analysis and co-create the VM. The findings are then categorized into four value dimensions: (1) value captured—improved participant well-being, enhanced reputational capital, mitigation of social asymmetries, and affordable service experiences; (2) value lost—underused community assets; (3) value destroyed—institutional and systemic barriers to innovation; and (4) new value opportunities—knowledge sharing, service diversification, and open innovation to foster collaborative networks. The study demonstrates that the application of VM in SEOs supports SBM development by generating strategic insights, enhancing resource efficiency, and fostering the delivery of socially impactful services. Full article

Blue Biotechnology (BBt) is a young and promising sector in the Mediterranean region with the potential to drive innovation and strengthen the Blue Economy (BE). However, its progress is constrained by fragmented coordination among stakeholders, impeding policy development and efficient resource management. Under this context, this study investigates the role of networks of diverse stakeholders, particularly the Spanish Blue Biotechnology Hub (BBHub) and a digital tool, ICT Matchmaking Tool (which connects network actors), in addressing these challenges by fostering collaboration, enhancing governance and supporting sustainable innovation. Building on this, the research employed the quadruple helix model (administrations, academia and research, industry and society), engaging 214 individuals from 130 organizations in the BBHub network. A survey assessed participants’ involvement and influence perceptions, followed by the formation of a discussion group “called sherpa group” of 10 key stakeholders for in-depth discussions through semi-structured interviews and meetings. Through this approach, key barriers to BBt and potential solutions for BE sustainable growth in Spain were identified, including regulatory obstacles, limited funding or weak public-private collaboration. Among the solutions proposed were the simplification of administrative processes to create new business, the creation of specific funding opportunities or the implementation of labelling policies to promote BBt products and value chains. Considering these findings, the study demonstrates that the BBHub network and ICT Matchmaking Tool could enhance stakeholder coordination, governance and decision-making processes in Spain. By addressing these gaps, these tools enable collaboration and better coordination among actors, contributing to sustainable marine resource use and innovation in the BBt and BE sector. However, sustained progress requires stable funding and stronger stakeholder commitments. In turn, as a broader implication, this research provides a replicable model for leveraging open innovation and multi-stakeholder frameworks to promote coordination, policy development and sustainable growth in the BBt and BE sectors. Thus, it offers insights into addressing governance challenges in Spain and the Mediterranean, advancing the use of marine bioresources through collaborative approaches. Full article

Recovering copper from end-of-life electronics, especially from printed circuit boards, provides significant economic benefits, reduces environmental impact, and supports a circular economy. This case study presents a data-driven approach to predicting copper recovery in the electrolysis stage of a bioleaching process by utilizing RGB sensor readings. We tested nine regression models using RGB values from experimental data. The gradient boosting model, optimized via response surface methodology (RSM), outperformed the others, with predictions matching 84% of observed patterns. These results demonstrate strong predictive capabilities, with scope for further accuracy enhancements. We offer an open-source, web-based digital twin designed specifically to monitor the bioleaching plant, enabling real-time and historical data analysis to support predictive maintenance. Our results underscore the potential to optimize the entire bioleaching process, marking a significant advancement for large-scale copper recovery. This study is the first to investigate predictive bioleaching continuous processes in a semi-industrial e-waste plant using RGB sensors, presenting a novel approach in the field. Full article

The recent enhancement of working conditions and social security for domestic service workers in Spain has enabled the integration of this group of female workers into the same legal framework as other employees. Despite the progress already made and the optimistic forecast that the ratification of Convention 189 in 2022 has opened, domestic workers continue to be one of the groups that suffer the most precariousness in Spain. Added to the laxity of the implementation of legislation is the strong presence of the underground economy and a care management model that facilitates the expansion of the deregulated market and the recruitment of irregular migrant women to occupy these precarious labor niches (live-in domestic workers). This article aims to identify the impact of psychosocial working conditions on the physical and mental health of female migrants who are live-in domestic workers in Madrid and Barcelona, Spain. The research employs semi-structured, in-depth interviews to understand the representations and experiences in migrant women’s health, by unveiling the meanings of their experiences through a thematic content analysis. The study concludes with a reflection on which psychosocial, legislative, and policy-level interventions are needed to improve the health and well-being of this population of migrant women. Full article

This research tackled the food waste problem in Saudi Arabia, with a particular focus on family restaurants, where this issue is evident. The study adopted a semi-structured survey, including structured and open-ended questions with family restaurants’ owner–manager/managers. The results of quantitative and qualitative data analysis showed that the most frequent types of food waste in family restaurants are starchy foods, especially bread and rice with a waste ratio above 50% of these items. Additionally, the average ratio of food waste was at least 20% of served food at sampled restaurants per customer. Three major reasons for this high rate of food waste were consumers’ behavior, e.g., positive attitude towards food waste; external factors, e.g., absence of a legal framework; and factors related to restaurants, e.g., food portion served and food cycle management. The results identified no applied strategies for handling food left over and reducing food waste at most (70%) of Saudi restaurants. This study calls for a national policy and program on managing food waste at Saudi family restaurants by adopting the 5Rs model for proper food waste management. Restaurants are encouraged to adopt green initiatives, such as “clean your plate” or “eat or waste” to stimulate their customers’ behavior for reducing their food waste and sustain the environment. This would support a green and circular economy. Full article

An urban revolution has brought a qualitative change related to the globalization of technologies and the economy. This, in turn, leads to changes in the city’s “human face”. Riyadh is the capital city of Saudi Arabia, which has been impacted by rapid population growth. The significant urban expansion negatively impacted various human characteristics as streets became more devoted to transportation than urban space. Various efforts have been made to re-establish the human aspects of streets by creating built environments and urban spaces. This study aims to determine the physical street features that impact Riyadh city streets’ livability. The study also determines people’s perception of the physical quality of Riyadh’s city streets. An exploratory sequential mixed research method has been adopted. Two separate qualitative and quantitative research approaches have been used to answer the research questions. Through a questionnaire survey and semi-structured interviews, the physical aspects of the case study street were assessed, and physical issues were identified. The finding of this study showed that physical issues such as scarce planting, lack of services for disabled people, traffic congestion, inadequate seating, and inadequate canopies and shelter are deteriorating the Riyadh city street livability. Responding to these physical problems will require measures to be built in municipalities to make Saudi cities more livable. The first practical measure is the provision of facilities such as seating and street furniture, adequate parking spaces, adequate shelter, and services for disabled people. The second is improving the quality of existing facilities, such as planting and landscaping. Lastly, traffic congestion can be controlled by changing Tahlia Street to a transit street that allows only public transport. Overall, the findings of this study will help planners and decision-makers create a livable environment within the framework of the re-humanization of the cities. A collaborative system to support the rehumanization of urban spaces should be adopted by encouraging smart design and improving the open spaces functions to fulfil the community need through a participative method, including the involvement of citizens. Full article

The aim of the paper is to analyze changes and peculiarities of behavior of economic agents with bounded rationality in the New Keynesian model, in which imported equipment and technology are one of the factors of production, and households consume only domestic products. The formation of output gap and inflation expectations by agents is based on stationary values of these variables and on extrapolation of the latest available data on inflation and the output gap. The weight shares of agents applying these rules change endogenously. Histograms of the frequency distribution of the degree of buoyancy and the impulse responses of monetary policy shocks and technology shocks to the variables under study show that a less open economy tends to go through an economic cycle with a smaller amplitude than a more rigid economy. Analyses of the trade-offs between the volatility of inflation and the output gap at different parameter values in the Taylor rule show their non-linear nature (in contrast to standard models with rational expectations). An important result obtained in this analysis is that the rational expectations hypothesis is more consistent with a closed economy than with an open one. Full article