Artificial Intelligence (AI) is increasingly playing a significant role in the design and
optimization of renewable energy systems. Many AI approaches and technologies are …

A bottom-up approach that takes into account solar energy availability and land resource
constraints is used to assess the technical potential for concentrating solar power (CSP) in …

The quick progress in solar energy technology has made it one of the most promising
alternatives to conventional energy systems in recent years. In this work, in order to make …

This paper proposes two bio-inspired heuristic algorithms, the Moth-Flame Optimization
(MFO) algorithm and Genetic Algorithm (GA), for an Energy Management System (EMS) in …

A bi-generation system combining direct absorption flat plate solar collector for medium
temperatures air-heating applications integrated with a thermoelectric generator was …

Particle-based concentrated solar power (CSP) systems have been identified as a high-
potential technology for lowering the levelised cost of electricity (LCOE) due to their higher …

Abstract Concentrated Solar Thermal (CST) offers a promising solution for large-scale solar
energy utilization as Thermal Energy Storage (TES) enables electricity generation …

Recently solar energy receives a great attention as an important source of renewable
energy. Solar energy is converted to electrical energy directly through photovoltaic (PV) or …

Concentrating solar plants with thermal energy storage offer a promising solution to store
large-scale solar energy and extend the generation profile to take the advantage of more …

Particle-based concentrated solar power (CSP) systems have been identified as a high-
potential technology for lowering the levelised cost of electricity (LCOE), due to their higher …