Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches

Article Computer Science, Artificial Intelligence

Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

Yingfeng Chen et al.

Summary: The study introduces a constraint multi-objective model to address the impact of load characteristics on the design of hybrid renewable energy systems, along with a corresponding algorithm to tackle this issue.

COMPLEX & INTELLIGENT SYSTEMS (2022)

Add to Collection

Article Chemistry, Physical

Optimal economic study of hybrid PV-wind-fuel cell system integrated to unreliable electric utility using hybrid search optimization technique

M. M. Samy et al.

Summary: This study proposes a hybrid system utilizing renewable energy resources to address power outages in distant districts. By optimizing design and considering costs, it demonstrates economic viability, providing an effective solution for supplying and selling electricity in the grid.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2021)

Add to Collection

Article Thermodynamics

A techno-economic assessment of hybrid energy systems in rural Pakistan

Fahad Ali et al.

Summary: This study aims to develop a rural energy system design framework and analyze the techno-economic feasibility of hybrid energy systems for rural electrification in a village in Pakistan. The results suggest that a community power system based on solar PV is the most feasible solution, and grid-integrated systems are more economical than off-grid systems. The hybrid energy system is capable of providing continuous electricity to the site 24/7.

ENERGY (2021)

Add to Collection

Article Energy & Fuels

The role of energy storage systems in resilience enhancement of health care centers with critical loads

Jun Liu et al.

Summary: The study proposes a hybrid microgrid solution, including renewable energy sources, energy storage systems, and diesel generators, to enhance the hospital's resilience during power outages. By evaluating the resilience performance and introducing a resilience index to measure the amount of unmet electrical load demand, it is found that optimizing the wind turbine system, diesel generator, and other components can improve resilience.

JOURNAL OF ENERGY STORAGE (2021)

Add to Collection

Article Thermodynamics

Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria

Charafeddine Mokhtara et al.

Summary: This study explores the optimal design of a diesel/PV/wind/battery hybrid renewable energy system (HRES) for the electrification of residential buildings in rural areas, taking into account climate diversity and building energy efficiency. GIS tools were used to develop a renewable energy potential map for Algeria, and the particle swarm optimization algorithm was employed to minimize energy cost while maximizing system reliability and renewable fraction. Different optimal HRES configurations were identified based on building efficiency levels, with some locations achieving a COE as low as $0.21/kWh.

ENERGY (2021)

Add to Collection

Article Energy & Fuels

An adaptive Marine Predators Algorithm for optimizing a hybrid PV/DG/Battery System for a remote area in China

Guoqing Yu et al.

Summary: This study aims to propose a new optimal configuration for a hybrid photovoltaic/diesel generator/battery system to refine the load demand of a rural area in Hoxtolgay, China, in order to minimize CO2 emissions, annualized cost, and loss of load probability. The optimization results were improved using the epsilon-constraint method and an adaptive version of the Marine Predators Algorithm (AMPA). The proposed system achieved the lowest CO2 emissions among the others.

ENERGY REPORTS (2021)

Add to Collection

Article Energy & Fuels

Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction

M. F. Roslan et al.

Summary: This study presents the development of an optimal power scheduling controller using lightning search algorithm for energy management of distributed energy resources in a microgrid system. The optimized controller aims to minimize total operating costs, reduce environmental emissions, and solve complex constraint optimization problems. Comparative analysis shows that the lightning search algorithm offers a more cost-effective solution with significant cost savings and carbon dioxide emission reductions compared to other optimization algorithms.

APPLIED ENERGY (2021)

Add to Collection

Article Chemistry, Physical