International Journal of Energy Technology and Policy (5 papers in press)

Special Issue on: OA Multiscale Energy Systems for Renewable Energy Storage

• Open Access

  Optical fibre distributed sensing system based on high-power ultra-narrow linewidth laser ( Free Full-text Access )

  by Long Li, Mingyue Liu, Qingtao Wu, Xinpeng Zhang, Zhankun Liu, Yulun Zhang 
  Abstract: This study aims to explore the fiber distributed sensing system based on high-power ultra-narrow linewidth single-mode fiber lasers to achieve monitoring and protection of important areas such as borders, military restricted areas, power plants, nuclear power plants, prisons, etc. The study uses ultra-narrow linewidth single-mode fiber lasers as light sources, and uses the OTDR interference mechanism to interfere with the Rayleigh scattered light of each part of the optical cable to achieve sensing. The test results show that the maximum deviation between the transmission length and the center length of the light source in each band does not exceed 0.06nm, and the center length offset of the two measurements is less than 0.01nm. The system has good safety performance, high sensitivity, a wide range of applications and low cost advantages, and can complete precise measurements.
  Keywords: optical fibre distributed sensing system; fibre laser; high power; ultra-narrow linewidth.
  DOI: 10.1504/IJETP.2025.10072198
   
  

Regular Issues

• Sustainable fuels for thermal power generation for sustainable energy supply in a low-density population cluster  
  by Izuchukwu Francis Okafor, Nwachukwu Paul Nwachukwu, Ifeanyi Wilfred Okonkwo, Ikenna David Okeke 
  Abstract: Fossil fuels for thermal power generation have been the dominant fuels for energy generation, which are unsustainable and harmful to the environment. This study examined thermal power generation with biomass briquette fuel and solar thermal energy for sustainable power supply in a low-density population cluster. The power supply situation in Nigeria was highlighted. Regenerative Rankine thermal plant with biomass fuel and concentrated solar thermal power (CSTP) plant was examined for improvement in thermal efficiency. Engineering equation solver was used in solving the mathematical formulations generated in this study. It was found that the thermal efficiency of the plant increased with temperature. Potentially, the plant can operate at peak thermal efficiency if the operating parameters are optimized, and can switch to either biomass fuel to handle solar intermittency issues or to solar thermal to conserve biomass fuel, indicating the novelty of hybrid fuel sources for sustainable thermal power generation.
  Keywords: solar thermal power; regenerative Rankine; power plant; thermal efficiency; power generation.
  DOI: 10.1504/IJETP.2025.10069114
   
  
• Supply chain governance for sustainable solar energy system: impact of artificial intelligence  
  by Monica Bhatia, Pradyumn Chaturvedi, Vikas Khare 
  Abstract: This paper delves into various facets of supply chain management for solar energy systems, with a particular focus on the profound impact of AI. Paper explore the current state of solar energy supply chain management, emphasizing the need for improved efficiency, environmental sustainability, and reliability. The creation of a semantic network for supply chain management of solar energy systems highlight the significance of structured knowledge representation, fostering intelligent decision- making and real-time responsiveness to dynamic operational challenges. Paper examine into the push-pull view of the solar energy supply chain, where AI plays a pivotal role in orchestrating demand-driven and efficient operations. Additionally, this paper includes a comprehensive SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of supply chain management in the solar energy sector. The SWOT analysis identifies critical areas for improvement and underscores the transformative potential of AI.
  Keywords: logistic management; inventory management; SWOT analysis; supplier selection; artificial intelligence.
  DOI: 10.1504/IJETP.2025.10070456
   
  

Special Issue on: Advancing Sustainable Development Banking Strategies Energy Transition and Green Economies

• Empowering communities: a case study of sustainable solutions to address load shedding in South Africa  
  by Chané De Bruyn  
  Abstract: South Africans have been plagued by varying stages of load shedding, with 2023 seeing a record-breaking 332 days of load shedding. This prolonged crisis has had severe repercussions, impacting local economic development, water services, food security, education and healthcare. As it affects businesses across all sectors, productivity, employment, and overall growth, addressing this issue is crucial for sustainable development and maintaining a thriving local economy. Using a case study approach, this paper assesses South Africa’s first 'smart town’, that through collaboration and innovative measures have been able to manage their own electricity demand, ensuring the continuation of business and economic activity. This study examines the significance of empowering local communities, discusses important tactics for encouraging community involvement, and provides a compelling case study of sustainable development projects led by empowered communities.
  Keywords: community empowerment; loadshedding; community led development; sustainable development; community; South Africa.
  DOI: 10.1504/IJETP.2025.10071921
   
  
• The impact of AI on China’s energy policy for EVs  
  by Klemens Katterbauer, Sema Yilmaz, Hassan Syed, Gözde Meral 
  Abstract: China’s national energy policy is fundamentally oriented toward achieving a low-carbon economy, with electric vehicles (EVs) serving as a key pillar in this transition. AI plays a crucial role in enhancing energy efficiency, optimizing grid integration, accelerating the widespread adoption of EVs. This report provides a comprehensive analysis of AI’s contributions to China’s EV-related energy policies, examining its applications, benefits, challenges, future developments. AI technologies are instrumental in facilitating China’s ambition to achieve carbon neutrality by 2060. In the energy distribution, AI significantly enhances grid stability through the implementation of smart charging systems, vehicle-to-grid(V2G) technologies, predictive analytics. However, several challenges must be addressed to realize these advantages. These are data security, the digital divide in rural areas, the high costs, the need for regulatory frameworks that balance innovation with compliance. Consequently, AI represents a transformative tool in advancing China’s EV adoption and aligning its energy policies with long-term sustainability objectives.
  Keywords: artificial intelligence; energy policy; electric vehicles; China; carbon neutrality.
  DOI: 10.1504/IJETP.2025.10072079