Vol. 2 No. 1 (2024)

This issue presents advanced research in renewable energy systems, advanced materials engineering, intelligent optimization, smart building energy management, data-driven supply chain control, and water infrastructure resilience. The published studies evaluate the operational performance of flat-plate solar collectors enhanced with nanofluids to improve thermal efficiency and analyze the influence of grain-orientation-induced anisotropy on cyclic fatigue behavior in nickel-based alloys produced via selective laser melting, compared with conventionally machined specimens.

The issue further investigates multi-objective optimization of energy consumption and thermal comfort in smart HVAC systems using metaheuristic algorithms, and assesses adaptive energy management algorithms in smart buildings through data-driven sustainability and operational efficiency metrics.

Additional contributions examine data-driven prediction and control of the bullwhip effect in multi-echelon supply chains by integrating machine learning with operational transactional data, and evaluate spillway performance and downstream flood risk based on long-term hydrological and structural records.

All contributions have undergone a rigorous peer-review process and aim to advance energy efficiency, material durability, intelligent system optimization, and infrastructure resilience through interdisciplinary and technology-oriented research.