Technology Providers Research Articles

Strategies for decarbonizing European district heating: Evaluation of their effectiveness in Sweden, France, Germany, and Poland

Decarbonizing the EU's district heating is crucial for meeting climate goals and securing a sustainable energy future. Currently, district heating suffers from inefficiency, high operating temperatures, significant distribution losses, and reliance on fossil fuels. Literature highlights strategies for reducing emissions, including integrating low-carbon heat sources, lowering supply temperatures, and employing efficient technologies like heat pumps and combined heat and power (CHP). However, the individual effectiveness of these strategies in reducing emissions within existing networks remains unassessed. This study addresses the gap by applying a comprehensive model that evaluates energy and emissions across the district heating supply chain, coupled with a derivative-based sensitivity analysis. We apply this methodology to the national-level district heating systems of Sweden, France, Germany, and Poland. Results indicate that the impact of decarbonization strategies on district heating emissions varies significantly by the system's characteristics, i.e., the energy mix in power and district heating supply and the presence of CHP plants. Primarily, incorporating more low-carbon heat sources emerges as the most effective method for emission reduction across nearly all examined countries. A 1 % increase in the share of low-carbon heat sources can potentially cut emissions by 0.8–1.3 kg CO2e per GJ of heat. In countries like Sweden and France, where the power generation already relies heavily on low-carbon resources, technologies which convert electricity to heat—such as heat pumps and electric boilers—rank as the second most effective approach. In contrast, for countries like Germany and Poland, with their moderate to low use of low-carbon power, reducing distribution losses and decreasing heat demand prove more effective, with emission reductions ranging between 0.8-1.3 and 0.7–1.2 kg CO2e per GJ in these countries, respectively. Additionally, cutting down power generation in fossil fuel-based CHP plants significantly reduces emissions in these regions. While green hydrogen and carbon capture and storage (CCS) also contribute to emission reductions, a 1 % increase in green hydrogen's share might decrease emissions by just 0.3–0.5 kg CO2e per GJ of heat, highlighting their lower effectiveness compared to the aforementioned strategies. These insights hold value for both district heating operators and for technology suppliers seeking decarbonization pathways. This is also true for policymakers focused on climate change mitigation, guiding the distribution of subsidies and R&D investments.

The Impact of Ventilation System Type on the Microclimate of Boar's Pen and Their Clinical Triad Parameters

The purpose of the study was the impact of different types of ventilation systems in boar`s pen on the microclimate and their physiological parameters. The control group of boars was kept in a house with a transverse ventilation system, and the animals of the experimental group were kept in a geothermal air supply. It was found that, regardless of the season, transverse ventilation provides a significantly higher air velocity and relative humidity: in Winter - 0.15 m s–1 and 5.4%; in Spring - 0.35 m s–1 and 5.3%; in Summer - 0.41 m s–1 and 0.7%; in Autumn - 0.28 m s–1 and 8.1%. Maintaining a stable temperature by the normative values in the boar housing was due to geothermal ventilation, regardless of the season, especially the "basement effect" was observed in the summer months, where the air temperature was cooled to 4.5°C (P < 0.001), compared to the transverse ventilation system. Compared with the boars in the experimental group, under the influence of the temperature increase in Summer, the boars in the control group increased significantly the respiratory rate to 50.9 ppm (P < 0.001) and heartbeat rate of 45.7 ppm (P < 0.001). An increase in rectal temperature in boars at elevated ambient temperature under both air ventilation systems was not found. The obtained results make it possible to introduce the use of cost-effective geothermal air supply technology in pig farms to harmonize the physiological parameters of boars to meet their biological needs, even in closed housing to improve their welfare.

A Novel Rotating Wireless Power Transfer System for Slipring with Redundancy Enhancement Characteristics

This study investigates the dynamics of wireless power supply technology under rotation and its system redundancy, aiming to design a redundant, rotating wireless power supply system. In order to satisfy specifications of redundancy and fault tolerance, the circuit design of the wireless power transmission system was developed, and a planar three-sector coil coupling mechanism was designed; finally, the stability and power output characteristics of the system were assessed under static and dynamic working conditions, and the results show that the maximum output power of the system can reach 3 kW and the efficiency is more than 91% under both static and dynamic working conditions. The study improved the rotating wireless charging system’s efficiency, which improves the energy utilization efficiency.

Assistive technology and daily living challenges among students with disabilities at University of Gondar, Ethiopia: a qualitative study

Background Disability influences activities of daily living, leading to unsafe conditions, poor quality of life, and dependence on others and assistive technologies. Despite limited access and unmet needs, assistive technology enables users to participate in education and be independent members of their community. Students with disabilities in higher education face many challenges in their day-to-day activities and evidence is limited in the study area. Therefore, this study aimed to explore assistive technology experience and daily living challenges among students with disabilities in higher education. Method A descriptive qualitative study design was employed at the University of Gondar, Gondar, Ethiopia, between December 20, 2022, and January 20, 2023. A purposive sampling method was employed to recruit 14 students with disabilities. An in-depth interview was employed using semi-structured questionnaires. Open Code version 4 software for coding and reflexive thematic analysis approach was employed for the analysis. Result A total of 14 students with disabilities were included in an in-depth interview. Four main themes emerged, which included activities of daily living, attitudes toward people with disabilities, barriers to accessibility, and access to assistive technology. Conclusion Barriers to activities of daily living among students with disabilities were poor accessibility of infrastructural facilities, lack of teaching/learning materials in an accessible format, and negative attitudes. The present study’s finding is needed to support students in higher education for their academic achievement and to design appropriate rehabilitation strategies and policies on the accessibility of physical infrastructures, inclusive education, and the provision of assistive technology

Methodological approach for assessing new incentives for soil health business models in EU

Soil health business models can lead to the maintenance of sustainable and competitive agriculture. The agricultural policy in the EU pursues different incentives to encourage adoption of environmentally oriented practices. Investments in soil health can lead to significant benefits not only for the environment but for society as well. The aim of this paper is to present the methodological approach for assessing new incentives for soil health business models in the frame of the NOVASOIL project. The goal is to investigate the opportunities and gaps of new incentives for redirection of financial streams and policy support measures for provision of innovative soil health technologies. The methodology includes two phases. The first one comprises of targeting new incentives for soil health and then identifying the corresponding gaps and opportunities. The second one continues the analysis with assessing the selected incentives with the BOCR-ANP model.

Multi-scope decarbonization and environmental impacts evaluation for biomass fuels co-firing CHP units in China

Co-firing of waste biomass as low-carbon fuels in combined heat and power (CHP) units is an indispensable energy supply technology providing regional electricity and heat, especially in industrial parks, that can combat climate change and support the achievement of Sustainable Development Goals (SDGs) in China. In this study, we proposed a life cycle material-energy-carbon integrated GHG accounting framework for CHP units converting waste to energy with co-firing of sludge and biomass pellets, including supply and value chains. This framework enables the prediction of multi-scope GHG emissions and environmental impacts associated with co-firing based on the properties of biomass fuels. It facilitates the selection of suitable biomass fuels according to decarbonization or reduced environmental impact objectives. When considering CO2 emissions alone, co-firing with sludge appears to be a beneficial option due to the economic gains from waste disposal. However, this also leads to increased GHG emissions unless avoided emissions from original disposal are considered, thus highlighting the need to expand the regulatory framework pertaining to GHG emissions that recognizes non-CO2 GHG emissions. Additionally, the practice of co-firing biomass fuels presents a complex interplay between enhanced decarbonization effects but potentially more significant environmental impacts when the co-firing ratio increases, highlighting the trade-offs between enhanced decarbonization and environmental challenges. Leveraging this framework, our study evaluated the national decarbonization potential through the deployment of CHP units with sludge or biomass co-firing across various provinces, indicating that biomass pellets co-firing could lead to more substantial GHG emission reduction.

Flexible copper: Exploring capacity-based energy demand flexibility in the industry

Different forms of flexibility can help in balancing variable generation. This work focuses on industrial demand-side flexibility applied in copper production, which is expected to grow for the build-out of green technologies.This study assesses the potential of capacity-based energy demand flexibility (over-sizing production processes) in an industry embedded in fully renewable energy systems. For this, an optimization model for multi-vector energy systems planning is extended so that it also includes the sizing and operation of a production process. A case study is presented for copper production, with greenfield results until 2050.Results show that flexibility at the concentration and refining stages belongs to the cost-optimal system design, at least over the next decade. At current costs, the potential cost savings in the energy system for the production process through capacity-based demand flexibility range from 5 % to 12 %, depending on the technology scenario. These potential savings are expected to decrease over time if cost reductions of renewable energy supply and storage technologies materialize. Technology scenarios considering seawater pumped-hydro energy storage yield lower costs over the entire projected period.

Analysis of Municipal Water Supply and Drainage Pipe Design Technology

The quality and safety of residents’ water rely heavily on the design of municipal water supply and drainage pipes. Therefore, this paper aims to enhance the optimization of municipal water supply and drainage pipe design by focusing on design requirements, principles, and key elements. Drawing from relevant design optimization experiences, technology advancements, and optimization measures, the research will analyze and consolidate the essential aspects of municipal water supply and drainage pipe design. The goal is to fundamentally elevate the quality standards of these designs, ensuring they meet the criteria for engineering project excellence. Through this comprehensive approach, we aim to contribute to the improvement and sustainability of water supply and drainage systems, safeguarding the well-being of residents.

Characterizing Smart Cities Based on Artificial Intelligence

Cities worldwide are attempting to be labelled as smart, but truly classifying as such remains a great challenge. This study aims to use artificial intelligence (AI) to classify the performance of smart cities and identify the factors linked to their smartness. Based on residents’ perceptions of urban structures and technological applications, this study included 200 cities globally. For 147 cities, we gathered the perceptions of 120 residents per city through a survey of 39 questions covering two main pillars: ‘Structures’, referring to the existing infrastructure of the city, and the ‘Technology’ pillar that describes the technological provisions and services available to the inhabitants. These pillars were evaluated across five key areas: health and safety, mobility, activities, opportunities, and governance. For the remaining 53 cities, scores were derived by analyzing pertinent data collected from various online resources. Multiple machine learning algorithms, including Random Forest, Artificial Neural Network, Support Vector Machine, and Gradient Boost, were tested and compared in order to select the best one. The results showed that Random Forest and the Artificial Neural Network are the best trained models that achieved the highest levels of accuracy. This study provides a robust framework for using machine learning to identify and assess smart cities, offering valuable insights for future research and urban planning.

Photovoltaic cells with transparency for glass coverage: case study in party space

Sustainable energy and technological development in electricity generation processes offer opportunities for the development and utilization of new photovoltaic technologies in construction. Photovoltaic cells for glazed surfaces, known as double glass or double-skin, have been applied in modern buildings due to their attributed characteristics that can enhance thermal comfort, provide natural lighting for internal areas, ensure privacy in external environments, and reduce energy consumption. The objective of this study is to investigate the viability of using double glass in the glazed roof of a family party venue. The qualitative method, a case study, was employed to assess the demand for electrical energy in the building and the potential use of double glass photovoltaic technologies. Market research was initially conducted with technology suppliers, enabling the evaluation of characteristics for the technological and economic feasibility of the project. The results show that the installation of double glass photovoltaic technology offers 40% transparency to solar radiation through the roof, resulting in thermal and luminous comfort. In terms of economic viability, the study demonstrates the possibility of return on investment in 4.6 years, considering energy generation, reduced building energy costs, and installation expenses. The installation of double glass technology, according to market research, is economically viable and generates local electrical energy for residents, providing comfort in the environment and enhancing the quality of life for occupants.

Exploring rehabilitation providers’ perspectives of assistive technology access after the implementation of a paediatric AT provision program in rural South India

A paediatric Assistive Technology (AT) Provision Program was implemented by a non-governmental rehabilitation facility in rural South India to support rehabilitation providers in providing needed AT access for children with disabilities. Capacity-building measures for providers and other supports based on the AT needs, barriers, and facilitators to AT access were implemented that aligned with the AT global report for low-middle income countries (LMIC). This study explores how the initiatives from the AT Provision Program have influenced the perspectives of rehabilitation providers on AT access. Using a qualitative design eight paediatric rehabilitation providers were purposively sampled for virtual semi-structured interviews. Findings were analysed using thematic analysis. Six overarching themes were identified: (1) Stigma associated with AT use, (2) Organisational response to changing needs, (3) Financial factors related to family socioeconomic status and the organisation providing AT services, (4) Inequity of AT service access in rural areas, (5) Provider AT awareness and confidence and, (6) Quality assurance. Rehabilitation providers’ experiences informed future AT capacity-building strategies within a low-resource context. Our findings provide valuable insights for the development of comprehensive AT Provision Program initiatives to provide AT access for children with disabilities in LMIC settings.

Quantum fuzzy decision-making for analyzing the service progress life cycle of renewable energy innovation investments

Innovative and effective solutions can be produced by using advanced technologies to increase renewable energy innovation investments. However, many actions taken to increase these investments may cause the costs of enterprises to reach an unmanageable level. As a result, a priority analysis is needed to identify the most critical issues, but in literature, there are limited studies in the literature regarding this issue. Accordingly, the purpose of this study is to evaluate the service progress life cycle of renewable energy innovation investments. A novel model is presented in this process while integrating different approaches. First, the service progress life cycle of renewable innovation investments is weighted. In this scope, two-generation technology S-curve and facial action coding system-based Quantum Spherical fuzzy M-SWARA are considered. Secondly, the renewable innovation investment alternatives are ranked. In this framework, the integer patterns and facial action coding system-based Quantum Spherical fuzzy TOPSIS are taken into consideration. Additionally, these investment alternatives are also ranked by using VIKOR technique to test the validity of the proposed model results. Moreover, a sensitivity analysis is conducted by considering 8 different cases so that coherency of the results can be tested. The main contribution of this manuscript is the consideration of the FACS system to increase both the originality and effectiveness of the proposed model and the development of new technique named M-SWARA. Additionally, conducting a priority evaluation helps to identify the efficient investment strategies to increase renewable energy innovation. It is defined that the same findings can be achieved by both TOPSIS and VIKOR techniques. Furthermore, sensitivity analysis also indicates the same rankings as well. It is understood that the proposed model provides coherent and reliable findings. The findings denote that maturity is the most critical stage of the service progress life cycle of the renewable energy investments. Moreover, advanced technologies are found as the best alternative of the renewable innovation investments for the service progress life cycle. Hence, it is recommended that R&D activities should be prioritized for the provision of advanced technologies in the renewable energy sector. For this purpose, research centers, universities, private sector companies and government institutions can work for the development of innovative and advanced technologies.

Technological Provision on Employee Green Behavior: Implementation on Technology-based Start-up Company in Indonesia

Technological Provision on Employee Green Behavior: Implementation on Technology-based Start-up Company in Indonesia

Resilience in supply chain management: lessons learned from disruptions like the COVID-19 pandemic

The ravaging impacts of the COVID-19 pandemic on global supply chains and its exposures of the vulnerabilities of the supply chain process has been examined in this paper. Importantly, the failure of supply chain resilience and the post-COVID-19 lessons necessitated the need to examine the need for resilience in supply chain management process. The paper examined the concept of resilience and its application in supply chain management, and covered strategies for developing resilience in supply chain management, which includes: identification and assessment of associated risks, diversification of supply chain channels, enhancing collaborations and effective communication among stakeholders, inventory management and supply chain flexibility, technology adoption and digitalization, scenario planning and simulations, as well as robust continuity planning. The paper also identified the challenges of supply chain resilience building. The paper provides valuable insights into how organizations can better handle future supply chain operations by considering the intrinsic development of resilience, which will enable them to better withstand and quickly recover from future disruptions.

Flexible wearable sensors for crop monitoring: a review.

Crops were the main source of human food, which have met the increasingly diversified demand of consumers. Sensors were used to monitor crop phenotypes and environmental information in real time, which will provide a theoretical reference for optimizing crop growth environment, resisting biotic and abiotic stresses, and improve crop yield. Compared with non-contact monitoring methods such as optical imaging and remote sensing, wearable sensing technology had higher time and spatial resolution. However, the existing crop sensors were mainly rigid mechanical structures, which were easy to cause damage to crop organs, and there were still challenges in terms of accuracy and biosafety. Emerging flexible sensors had attracted wide attention in the field of crop phenotype monitoring due to their excellent mechanical properties and biocompatibility. The article introduced the key technologies involved in the preparation of flexible wearable sensors from the aspects of flexible preparation materials and advanced preparation processes. The monitoring function of flexible sensors in crop growth was highlighted, including the monitoring of crop nutrient, physiological, ecological and growth environment information. The monitoring principle, performance together with pros and cons of each sensor were analyzed. Furthermore, the future opportunities and challenges of flexible wearable devices in crop monitoring were discussed in detail from the aspects of new sensing theory, sensing materials, sensing structures, wireless power supply technology and agricultural sensor network, which will provide reference for smart agricultural management system based on crop flexible sensors, and realize efficient management of agricultural production and resources.

Sustainable All-Day Thermoelectric Power Generation From the Hot Sun and Cold Universe.

Energy conversion from the environment into electricity is the most direct and effective electricity source to sustainably power off-grid electronics, once the electricity requirement exceeds the capability of traditional centralized power supply systems. Normally photovoltaic cells have enabled distributed power generation during the day, but do not work at night. Thus, efficient electricity generation technologies for a sustainable all-day power supply with no necessity for energy storage remain a challenge. Herein, an innovative all-day power generation strategy is reported, which self-adaptively integrates the diurnal photothermal and nocturnal radiative cooling processes into the thermoelectric generator (TEG) via the spectrally dynamic modulated coating, to continuously harvest the energy from the hot sun and the cold universe for power generation. Synergistic with the optimized latent heat phase change material, the electricity generation performance of the TEG is dramatically enhanced, with a maximum power density exceeding 1000mWm-2 during the daytime and up to 25mWm-2 during the nighttime, corresponding to an improvement of 123.1% and 249.1%, compared with the conventional strategy. This work maximizes the utilization of ambient energy resources to provide an environmentally friendly and uninterrupted power generation strategy. This opens up new possibilities for sustained power generation both daytime and nighttime.

The Mediating Role of Self-Determination in the Relationship Between Assistive Technology and Employment Outcomes for People with Disabilities in Saudi Arabia

The current research study conducts an investigation of the dynamic relationship between three key variables: assistive technology (AT) provision, self-determination (SD), and employment outcomes (EOs) as they pertain to persons with disabilities (PwDs) in Saudi Arabia (KSA). The main objective of the study is to investigate the function of AT in improving EOs for PwDs and contextualize the mediating effect of SD on the observed relationship. The study features a quantitative study design which utilizes survey data obtained from a sample size of 120 PwDs. The study participants are employed in either private or public sector organizations situated in Riyadh and Al-Jouf regions of KSA. The conducted survey provides measurements, using a Likert scale, for AT provision, various aspects of SD (decision-making autonomy, self-belief, self-advocacy, goal setting, and persistence and resilience), and EOs (job placement, satisfaction, retention, income level, and career advancement). For data analysis, the study utilizes the partial least square-structural equation modeling. The study findings demonstrate significant direct and indirect effects of AT provision on EOs for PwDs—with SD playing a key mediating role. Specifically, positive effects of AT can be observed in job placement, satisfaction, income level, retention, and career advancements—SD is observed as a key facilitator of AT adoption and effectiveness (EFF) within workplace settings. The findings emphasize the key role of AT investment (accessibility and EFF) in the enhancement of the SD skills of PwDs, and the resulting effect of more inclusive workplace environments for PwDs in KSA.

Chinese early childhood educators’ beliefs and experiences around using touchscreens with children under three years of age

ABSTRACT Research shows that educators’ technology beliefs and experiences strongly shape their technology adoption and utilization in educational practices. This mixed-method study investigated very young children’s educators’ touchscreen use and their beliefs and experiences in China. Rich quantitative findings (N = 1276) revealed the availability of touchscreen devices mainly computers and laptops in early childhood educational settings and this technology provision aligns with Chinese traditional teacher-centred educational practices. Despite their highly reported digital skills, educators’ overall use of touchscreen technologies with very young children was low and there was a lack of confidence in using them with children. It appears that confidence is more influential for Chinese educators in deciding to use technology with very young children than their digital skills. Implications for educational policies and designing effective professional learning and development for early childhood educators to enhance their digital competence are discussed.

Assistive technology: Occupational therapy assessment and services for people with dementia

Introduction: Research suggests that services are not effectively providing suitable assistive technology for people with dementia. There is a need to understand the challenges facing practitioners to identify where service changes should be focussed to improve this situation. Method: This study used an online survey to explore the experiences of 41 occupational therapists working with people with dementia, and/or assistive technology. Eight participants subsequently agreed to participate in online discussion groups. Group discussions were transcribed and checked. Data responses from group discussions and open questions in the survey were analysed thematically using the person-centred framework to identify domains supporting or obstructing effective assistive technology service delivery. Results: Forty-one occupational therapist participants described challenges to providing person-centred assistive technology services. These included restricted access to assistive technology interventions, limited knowledge regarding developments in the field, variable funding, unsupportive systems, limited relevant training and difficulties working across health and social care sectors. Conclusion: There is a need to revise the systems surrounding the provision of assistive technology for people with dementia. Occupational therapists need access to training relative to this field, and systems need to be adapted to support the provision of person-centred care by widening access to assistive technology.

The role of agglomeration in digitalisation and productivity: an empirical examination of manufacturing SMEs in South Korea

ABSTRACT This study examines the relationship between regional agglomeration and the digitalisation of manufacturing small and medium enterprises (SMEs), and how this interplay affects their productivity. Using two analytical models, we investigate the correlation of regional agglomeration factors such as industrial specialisation, related and unrelated variety, urbanisation economies and the spatial concentration of suppliers with SMEs' digitalisation level in South Korea. Our findings indicate that related variety within regional agglomerations positively influences digital innovation, facilitating knowledge spillovers particularly beneficial for SMEs with higher levels of digitalisation. The study reveals a differentiated impact of agglomeration economies on SMEs based on their digital maturity. While high-level digitalised enterprises benefit from related variety and urbanisation economies, those in the initial stages of digital adoption gain proximity to digital technology suppliers. The 2SLS models further demonstrate that digitalisation significantly enhances productivity across all levels of digital technology adoption among SMEs. This study emphasises the conditional nature of the effects of regional agglomeration on digitalisation and productivity, advocating for nuanced support strategies that cater to the varying digital maturity stages of SMEs, which are valuable for policymakers and business leaders in fostering a supportive regional ecosystem that propels SMEs towards greater productivity in the digital economy.