Ensure access to affordable, reliable, sustainable and modern energy for all
With evident relevance to SDG 6, the research explores a water pollution control technology evaluation model based on the Pythagorean language neutrosophic set (PLNS) in the context of the pulp and paper industry. The authors' model aims to assist in the choice of appropriate water pollution control technology for those working within the paper industry. It is tested in an example based in China.
In the pursuit of improving engine performance and mitigating emissions, researchers have explored the intriguing domain of fuel blends incorporating butanol and gasoline. This innovative study aims to unravel the intricate dynamics between butanol and gasoline when utilized as a blended fuel in internal combustion engines. The current study integrates cutting-edge techniques such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) for the optimization of engine performance.
The research questions explore the recent progress and technological advancements in Wireless Power Transfer (WPT), the reflection of global engagement within the WPT community through publication trends and geographical distribution, and the alignment of thematic clusters with SDG goals. Questions also investigate the contribution of AI to WPT, challenges and barriers to WPT adoption revealed by bibliometric analysis, ways WPT technology can democratize technology access in marginalized regions, and specific recommendations to ensure WPT technologies effectively accelerate progress towards achieving a broader set of SDGs.
The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.
World Intellectual Property Day 2024 is highlighting the critical importance of intellectual property (IP) in catalyzing the human innovation and creativity needed for achievement of the United Nations Sustainable Development Goals (SDGs). This study provides an overview of the key debates and the recent evidence on the societal role of Intellectual property rights (IPRs).
In this paper the authors show how the heterogeneity in cities means that individual cities need specific low-carbon roadmaps, rather than a one-size-fits-all approach
This article supports SDG 7 by evaluating the geothermal potential of the granitic rocks which is important in long-term sustainable renewable energy projects due to increasing energy demand.
This article supports SDGs 7 and 13 by comparing the economy and carbon emissions of electrochemical energy storage (EES) and hydrogen energy storage (HES) in renewable energy storage, and it was found that lithium-ion batteries and certain HES routes perform best in LCOS and carbon emissions, supporting their use to achieve future decarbonization goals.
This article supports SDGs 7 & 13 by uncovering areas of consensus and disagreement between models and experts around the clean energy transition
The results of this study, which looks at the emissions and performance of the ICE fueled by ethanol, are in line with SDGs 7 and 13. Regarding optimization and prediction, the distinctive combination of ANN and RSM encourages sustainable industrialization, more conscientious consumption, and more ethical production patterns. All these are crucial components of SDGs 9 and 12. To make refined decisions and achieve improved performance and emissions, this research can benefit engine producers and researchers. This alliance between scholars and industry stakeholders supports SDG 17 (Partnerships for the Goals), which also encourages knowledge-sharing to advance the SDGs as a whole.
