Laser power transfer (LPT) is one of the leading technologies in long-distance power transmission with its advantages such as enabling high power transmission and suitability for mobile applications. The transmitter part, which includes the laser diode (LD) and the driving circuit, directly affects system efficiency. Continuous wave (CW) lasers are used in studies due to their high power and continuous radiation. However, one of the main disadvantage of the mentioned system is the high cost of LD. In this study, the use of pulsed LDs in LPT applications is proposed because of their small size and low cost. On the other hand, appropriate operating point of pulsed LD is a missing information in literature. In order to contribute literature with this information, the pulsed LD is used for LPT and the effect of driving voltage amplitudes, frequencies, and duty cycles are analyzed to demonstrate the importance of determining the appropriate operating point of the pulsed LD and that pulsed LDs can be used in LPT.

Laser power transfer (LPT) technology is an emerging wireless power transfer technology that offers a promising way to transfer energy over long distances. The transmitter section, being a pivotal component of LPT systems, has conventionally employed continuous mode (CM) lasers. However, pulsed mode (PM) lasers have gained increasing attention due to their economic, flexible, and efficient designs. In this study, an economical and modular transmitter system is proposed for LPT applications. Through the utilization of 10 PM laser diodes, an uninterrupted power transfer capability was achieved. The results of the study showed an efficiency rate of 7.62% and a significant cost saving of $293.

The decarbonization of railway transportation requires energy-efficient propulsion technologies capable of reducing fossil fuel dependence and improving the operational efficiency of rail systems. Hydrogen fuel cell (FC)–battery hybrid powertrains have emerged as a promising alternative for non-electrified high-speed railway lines due to their potential for energy-efficient operation and reduced environmental impact. However, the optimal sizing and coordinated operation of these hybrid energy sources remain a challenging problem because energy efficiency, component degradation, and system cost are strongly interrelated. This study proposes a degradation-aware mixed-integer linear programming (MILP) framework for the optimal sizing and energy management of a FC–battery hybrid propulsion system for high-speed trains. The optimization simultaneously determines the capacities of FC stacks, battery modules, and hydrogen storage while minimizing the overall lifecycle cost and improving system energy utilization. Battery and FC degradation models are incorporated into the optimization problem through linearized formulations to ensure realistic long-term operation. The proposed framework is evaluated using real operational data in the approximately 71 min high-speed rail corridor between Bursa and Osmaneli in Türkiye. Simulation results show that increasing battery capacity significantly reduces FC stress while enabling more efficient energy utilization through regenerative braking and power balancing. The results indicate that optimal battery sizing can notably improve system performance, reducing the total lifecycle cost from $1.12\times {10}^9$ USD to $5.65\times {10}^8$ USD, while decreasing the required number of fuel cell units from 31 to 18 and mitigating fuel cell degradation. The proposed approach provides an effective design tool for energy-efficient hydrogen-powered railway systems.

Extending flight endurance is critical for unmanned aerial vehicles (UAVs) deployed in post-disaster surveillance missions. This study proposes a hybrid battery–laser power system in which a ground-based laser source continuously tracks and charges a photovoltaic (PV) array mounted on a UAV, and develops an integrated optical–thermal–electrical model coupled with a battery-sizing optimization framework. Using a realistic trajectory derived from experimentally measured UAV flight data, the results show that the proposed hybrid system reduces the required battery capacity by up to 23.8% compared with a laser-off configuration. Alternatively, for the same battery capacity, laser-assisted operation extends the achievable mission duration by approximately 23%, enabling longer disaster-relief missions without increasing the UAV payload. These findings provide practical design guidance for developing laser-powered UAV systems for extended disaster-relief operations.

This study presents a dynamic energy management system tailored for smart residential buildings, integrating thermal and electrical models to achieve both natural gas and electricity bill cost reduction. By harnessing wind and solar energy sources, the system aims to meet the diverse energy needs of modern homes. Through load shifting and thermal storage strategies, known as power-to-heat (P2H) approaches, the system ensures efficient renewable energy utilization while maintaining resident comfort. Validation of the proposed system was conducted using real-world data from the Yıldız Technical University Smart Home Laboratory, demonstrating its practical applicability and effectiveness. Results indicate significant reductions in both natural gas and electricity consumption, leading to substantial cost savings. Specifically, the proposed system reduced natural gas consumption by 3.79% and electricity consumption by 35.62%, highlighting its potential to enhance energy efficiency and sustainability in residential settings.