Mathematical Optimization Techniques in Sustainable Energy Systems Engineering

¹Ugwu Chinyere Nneoma, ¹Ogenyi Fabian C. and ^1,2Val Hyginus Udoka Eze*

¹Department of Publication and Extension Kampala International University Uganda

²Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Western Campus, Ishaka, Uganda

*Corresponding Author: Val Hyginus Udoka Eze, udoka.eze@kiu.ac.ug, Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Western Campus, Ishaka, Uganda (ORCID: 0000-0002-6764-1721)

ABSTRACT

This paper highlights the forefront of mathematical optimization techniques within sustainable energy systems engineering, encompassing both theoretical innovations and practical applications. The focus extends to key components such as microgrids, power systems, and energy carriers, integrating decision-making processes crucial for optimal investment, operational, and maintenance strategies. By leveraging multi-objective and many-objective frameworks, this issue addresses the critical balance between computational effort and solution quality, tailoring solutions to decision-makers preferences. As global energy systems face transformative pressures due to environmental concerns, this issue underscores the role of mathematical optimization in advancing the efficiency and sustainability of energy infrastructures. The discussion spans a variety of methodologies, including linear programming, mixed-integer programming, and robust optimization, with applications in renewable energy systems siting, sizing, and integration.

Keywords: Mathematical, Optimization, Techniques and Sustainable Energy

CITE AS: Ugwu Chinyere Nneoma, Ogenyi Fabian C. and Val Hyginus Udoka Eze (2024). Mathematical Optimization Techniques in Sustainable Energy Systems Engineering. RESEARCH INVENTION JOURNAL OF ENGINEERING AND PHYSICAL SCIENCES 3(1):33-41