Elsevier,

Integrated Strategies for Developing Sustainable Energy Systems: From Carbon Capture to Energy System Optimization, 2026, Pages 1-12

This chapter supports UN SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action) by introducing a comprehensive approach that integrates sustainable energy systems, carbon capture, circular economy, and sustainable development.

Elsevier,

Next Generation Renewable Thermal Energy Harvesting, Conversion and Storage Technologies, Emerging Technologies and Materials in Thermal Engineering Series, 2026, Pages 177-216

This chapter supports the UN SDGs by advancing sustainable and affordable clean energy (SDG 7), promoting industry innovation and infrastructure (SDG 9), and ensuring responsible consumption and production through improved nanomaterial coatings for solar energy efficiency (SDG 12).

Elsevier,

Next Generation Renewable Thermal Energy Harvesting, Conversion and Storage Technologies, Emerging Technologies and Materials in Thermal Engineering Series, 2026, Pages 449-484.

This chapter supports the UN SDGs by advancing sustainable and affordable clean energy (SDG 7), promoting innovation and infrastructure (SDG 9), and contributing to climate action through efficient geothermal energy utilization (SDG 13).

This study develops a capacity expansion model with grid operational detail and high spatial resolution to examine decadal pathways to carbon neutrality by 2060 considering localized and temporal impacts.

Researchers assess the critical mineral demand required to meet sustainability goals using a bottom-up, scenario-based approach and examine how mineral bottlenecks affect sub-technology choices.
This study outlines a two-stage sequential optimization framework in which the first stage optimizes the social welfare of the agricultural and bioenergy sectors, and the second stage incorporates the land-use change from bioenergy development to examine the regional solar energy capacity.
Using learning curve models and counterfactual inference, esearchers quantify their respective contributions to the decline in total installed cost of wind and PV power.
Elsevier,

Meeting SDGs in Smart City Infrastructures, Federation, Interoperability, and Discoverability, Smart Cities, 2026, Pages 151-189

This chapter supports UN SDGs 11, 7, and 3 by discussing how AI can improve various aspects of urban planning, transportation, public safety, and environmental management to create more livable and sustainable cities; highlighting AI as a key enabler for optimizing energy distribution, identifying areas for conservation, and integrating renewable energy sources to help cities achieve climate-neutrality goals; and explaining how AI can enhance healthcare services through personalized monitoring, diagnosis, and treatment, as well as improve access to basic healthcare for citizens.

This chapter supports UN SDGs 7, 11, and 13 by offering a structure for urban policy-makers to create sustainable and energy-efficient cities by means of combined urban design, creative policy development, and environmentally friendly transportation options.
The article examines the complex systemic risks and vulnerabilities arising from the transition to renewable energy and climate change, emphasizing the need for integrated risk management and collaboration to enhance resilience for first responders and policymakers.

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