Goal 7: Affordable and clean energy

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Climate Change; Energy; Sustainable consumption and production, Global

A Pythagorean language neutrosophic set method for the evaluation of water pollution control technology in pulp and paper industry

Engineering Applications of Artificial Intelligence, Volume 133, July 2024

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.

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Water and sanitation; Chemicals and waste, Global

AI for science in electrochemical energy storage: A multiscale systems perspective on transportation electrification

Nexus, Volume 1, Issue 3, September 2024

This paper systematically reviews the current state-of-the-art and future perspectives of AI in battery research and applications for EVs.

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Technology, Global

Evolution and Trends of Sustainable Approaches: Latest Development and Innovations in Science and Technology Applications - Chapter 13: Analysis of decision support systems for the green hydrogen value chain design: A comparison of literature and real-wo

Evolution and Trends of Sustainable Approaches: Latest Development and Innovations in Science and Technology Applications, 2024, Pages 209-226

This chapter ties into Sustainable Development Goal 7, Sustainable Development Goal 9, and Sustainable Development Goal 13 by promoting the adoption of green hydrogen as a clean and sustainable energy source, emphasizing the development of decision support systems for designing hydrogen supply chains which involves innovation and the creation of new infrastructure, and addressing the environmental consequences of conventional energy sources by focusing on green hydrogen as a viable solution to mitigate climate change impacts.

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Climate Change; Energy; Industry, Global

Climate Change and Circular Economics: Human Society as a Closed Thermodynamic System - Chapter 10: Final thoughts on approaching the future

Climate Change and Circular Economics, Elsevier, 2024, Pages 271-275

The content of the chapter aligns with UN SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action) by discussing strategies to reduce greenhouse gas emissions, promote clean energy technologies, and address the impact of climate change through the adoption of sustainable energy solutions.

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Energy; Climate Change, Global

RELX SDG Inspiration Day 2024

Elsevier

This year’s RELX SDG Inspiration Day will bring together global AI leaders, corporate representatives, investors, government, and NGOs to explore issues, gain practical insights and be inspired to take action in support of the Global Goals. Elsevier is proud to share this special collection of articles and chapters in celebration of this event.

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Special collections

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Artificial Intelligence, Global

Treatment and Utilization of Combustion and Incineration Residues - Chapter 28: Environmental impacts of combustion/incineration residue-derived products

Treatment and Utilization of Combustion and Incineration Residues, 2024, Pages 535-550

This chapter ties into Sustainable Development Goal 7 and Sustainable Development Goal 9 by promoting resource efficiency and cleaner energy processes through the sustainable utilization of combustion/incineration residues, and by fostering innovation in material utilization and supporting sustainable infrastructure development through the reuse of these residues in construction and industrial applications.

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Chemicals and waste; Industry; Sustainable consumption and production, Global

Managing energy transition alongside environmental protection by making use of AI-led butanol powered SI engine optimization in compliance with SDGs

Heliyon, Volume 10, 15 May 2024

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.

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Global

Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals - A bibliometric analysis

Energy Strategy Reviews, Volume 53, May 2024

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.

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Artificial Intelligence, Global

Nanomaterials for advanced energy applications: Recent advancements and future trends

Materials and Design, Volume 241, May 2024

This text ties into SDG 7 (Affordable and Clean Energy) and SDG 9 (Industry, Innovation, and Infrastructure). It focuses on the development and enhancement of inorganic multifunctional nanomaterials for energy applications, which are crucial for improving energy efficiency, storage, and conversion, thereby supporting sustainable energy solutions and innovative infrastructure development.

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