Middle East

This chapter explores strategies to reduce air pollution through sustainable energy practices, urban design, and mobility solutions, aimed at creating environmentally friendly and economically sustainable cities. At the household level, transitioning from fossil fuels to renewable energy for electricity, cooking, and heating is essential, along with effective waste management and energy-efficient building designs. At the urban level, the “five-minute city” design is emphasized, promoting access to essential services within a short walk or bike ride, reducing reliance on private vehicles, and encouraging active transport. This chapter also underscores the role of urban green spaces in lowering pollution, enhancing public health, and mitigating the urban heat island effect. Finally, improvements in urban mobility—efficient public transport, infrastructure for walking and cycling, and fleet electrification—further support these goals. By adopting an integrated approach, cities can significantly improve air quality, foster economic sustainability, and enhance overall livability.
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Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy, Volume , 1 January 2025

This chapter explores the integration of artificial intelligence (AI) in biohydrogen production, a promising renewable energy technology. Biohydrogen is regarded as a potential renewable bioenergy resource. There are many processes through which it can be produced, for example, thermochemical and biological processes like pyrolysis, electrolysis, dark fermentation, and photo-fermentation. It is more economically viable when it is produced from waste materials such as waste biomass via microbial fermentation or light-driven chemical reactions. In the last decade, AI or intelligent systems have revolutionized scientific research. Prospectively, classical AI, machine learning (ML), and deep learning algorithms can be applied to optimize biohydrogen production processes. These techniques including reinforcement learning, artificial neural networks, and genetic algorithms can help optimize crucial influential parameters affecting biohydrogen production efficiency and yield. Random forest and support vector machine are two specific ML algorithms that can improve process monitoring, yield prediction, and address challenges for biohydrogen production by managing complex data, accurately predicting outcomes with improved scalability for industrial production processes. The chapter also highlights AI applications in biohydrogen production employing various AI tools like jellyfish optimizer and adaptive neuro-fuzzy inference system that optimize operational conditions in microbial electrolysis cells, enhancing hydrogen yield from wastewater. However, there are many challenges to implement AI-based systems in practice at large that include data limitations, real-world variability, scalability, and supportive technology to AI. Moreover, intelligent systems’ limited adaptability, to date proven credibility and human oversight importance were also discussed with associated ethical concerns. It also needs continuous monitoring and improvement for economically viable and sustainable production processes. Emerging technological trends in biohydrogen production focus on autonomous AI-based production systems, predictive modeling, appropriate management of supply chain, and sustainability valuation. Future AI developments aim to make biohydrogen production more cost-effective, efficient, and scalable.
The development and promotion of climate-smart livestock systems (CSLSs) are crucial for ensuring sustainable food security. Climate change poses significant challenges to livestock production systems, which are crucial for food security and support various sociocultural, economic, and environmental aspects of human life. To overcome these challenges and ensure sustainable food security, the development of CSLSs is essential. CSLSs aim to maintain livestock productivity, reduce greenhouse gas (GHG) emissions, and promote locally adapted animal genetic resources. Opportunities exist along the livestock production chain to minimize GHG emissions associated with enteric fermentation, manure management, and feed management. Strategies for CSLS include improving fodder quality, utilizing adapted animal breeds, providing nutritional supplements, and diversifying livestock herds. Diet manipulation, such as using feed resources with high nutritional content and digestibility, can potentially reduce CH4 emissions while increasing livestock productivity. Mixed crop–livestock systems and agroforestry (silvopastoral systems) are key components of CSLS, offering diverse adaptation benefits and multiple roles in livestock systems. The effective utilization of local animal genetic resources and the integration of indigenous knowledge systems with scientific knowledge can enhance adaptation measures and resilience in livestock systems. Addressing animal health issues is also crucial for ensuring CSLS and sustained food security. The development and implementation of CSLS are essential for mitigating the adverse impacts of climate change on livestock production systems and meeting the growing global demand for animal products. Indigenous knowledge is crucial for CSLSs, as it has been a long-standing aspect of livestock production. Women are natural change-agents in livestock production, and equal opportunities for men and women across generations should be promoted through climate-smart livestock technologies. Community-based breeding initiatives, particularly for women, can empower local small-scale farmers and enhance sustainability in livestock production systems. Therefore ignoring indigenous knowledge is counterproductive for the success of CSLSs. The adoption of CSLSs can ensure sustainable food security and contribute to a more resilient and sustainable agriculture sector. The chapter explores the development and promotion of CSLSs for sustainable food security.
Agriculture is key to global food security and is a pivotal component of the United Nations' Sustainable Development Goals. However, the increasing utilization of fossil fuels to power farm machinery is a source of concern due to the established negative consequences of greenhouse gas (GHG) emissions on climate variability, with dire consequences for plants, animals, human settlement, and social and economic activities. Therefore, a revolutionary campaign is needed for innovative, intelligent, and clean technological advancement in the agricultural sector, such that carbon emissions can be mitigated with increased penetration of renewable energy sources (RESs). The solar photovoltaic (PV) system offers tremendous advantages in reducing carbon emissions among land-based RESs. The usage of RES to power agricultural equipment has significantly reduced carbon emissions in the agricultural sector. Farmers are now adopting biogas - produced from wastes of organic materials like plants and animals, for cooking and powering farmhouses and equipment. Solar-powered water pump irrigation systems can reduce carbon emissions by 97%–98% compared to conventional fossil fuel-powered systems. A solar powered tractor was found to produce a carbon footprint of 5.75 kg CO2 eq kg−1 vehicle annually, showing a potential 90% reduction in emissions. Also, a RES-based water pump system, RES-based maize sheller, and RES-based incubator revealed a potential reduction in GHG emissions up to 98%, 89.61%, and 97%, respectively. This chapter, therefore, discusses the pursuit of net zero emission from the viewpoint of land-based renewable energy deployment and carbon-neutral agriculture drivers and tools. The chapter also addresses the issues associated with fossil-based energy sources in agriculture, modern and current trends in agriculture energy supply, carbon neural agriculture drivers, and future agricultural energy supply perspectives, including research and development considerations.
Female scientist in lab wearing blue surgical gloves

The Elsevier Foundation Chemistry for Climate Action Challenge is a collaboration between the Elsevier Foundation, a non-profit focused on inclusive research and health funded by Elsevier and Elsevier's Chemistry journals.  The Challenge represents a commitment from Elsevier to uncover practical, scalable solutions to specific issues caused by climate change in global South communities thereby advancing both Climate Action (SDG13) and Gender Equity (SDG5).

This chapter supports UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action) by promoting the transition to renewable energy sources, reducing greenhouse gas emissions, enhancing energy efficiency, fostering technological innovation, and emphasizing collaboration and innovation to drive the development of cleaner and more efficient energy solutions for a sustainable future.

Elsevier,

Michael Deighton, Chapter One - Introduction, Powering through the Transition, Elsevier, 2025, Pages 1-17.

This chapter supports UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), 11 (Sustainable Cities and Communities), 13 (Climate Action), and 17 (Partnerships for the Goals) by promoting the transition to renewable energy sources, reducing greenhouse gas emissions, enhancing energy efficiency, fostering technological innovation, and emphasizing collaboration and innovation to drive the development of cleaner and more efficient energy solutions for a sustainable future.

Event attendees at ATM Dubai

An exclusive whitepaper produced for Arabian Travel Market (ATM) by Digital Tourism Think Tank (DTTT) has highlighted that only 15% of UN Sustainable Development Goals (SDGs) related to tourism are on track to be achieved by 2030 according to the body, underscoring the need for more action to be taken across the sector.

Elsevier,

Cuce & Cuce, Solar Chimney Power Plants: From Theory to Practice, 2025, Pages 1-24

This chapter aligns with SDGs 7, 11, and 13, by introducing solar chimney power plants as a clean energy solution, and their role in supporting sustainable communities and climate.

Elsevier,

Agnes C. de Jesus, 18 - Environmental and Sociocultural Benefits and Challenges Associated with Geothermal Power Generation, Editors: Ronald DiPippo, Luis C.A. Gutiérrez-Negrín, Andrew Chiasson, Geothermal Power Generation: Developments and Innovation (Second Edition), Elsevier Science Ltd (Woodhead Publishing Series in Energy), 2025, Pages 533-570.

This chapter supports UN Sustainable Development Goals 7 (Affordable and Clean Energy), 13 (Climate Action), 9 (Industry, Innovation, and Infrastructure), and 11 (Sustainable Cities and Communities) by promoting clean and renewable energy solutions, mitigating climate change, fostering technological advancements, and contributing to sustainable urban and rural development.

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