Optimization of grid-connected solar PV systems with Hybrid Energy Storage System: A case study of the Sri Lankan power system

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 114, P. 115634 - 115634

Published: Feb. 10, 2025

Language: Английский

---

Innovative Solutions for Combating Climate Change: Advancing Sustainable Energy and Consumption Practices for a Greener Future

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2697 - 2697

Published: March 18, 2025

This paper investigates strategies to address climate change by promoting sustainable energy technologies and consumption practices. It examines renewable sources such as solar, wind, geothermal their potential reduce greenhouse gas emissions. The study also explores optimization techniques, focusing on genetic algorithms (GAs) smart systems like grids microgrids, which enhance efficiency sustainability. research highlights the role of circular economy in fostering through recycling waste management. Furthermore, economic trade-offs between environmental harm, impact both fossil fuel energies. A dual methodological approach is employed: first, an endogenous growth model excluding factors, followed a modified version incorporating considerations. Using continuous algorithm data from 2000 2025, forecasts optimal trajectory for energy’s share global under two scenarios. findings suggest that could represent 82.4% total constraints, up current 45%. hindered challenges droughts, hydropower production. concludes achieving transition requires comprehensive policies integrating expansion, efficiency, protection. These provide important insights into optimizing pathways They serve foundation future policy recommendations, aiming ensure low emission balancing need with preservation environment.

Language: Английский

---

Optimizing the sizing of residential microgrids using a genetic algorithm as a decision support model

Management of Environmental Quality An International Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Purpose This study evaluates the performance of genetic algorithms (GAs) in optimizing sizing wind photovoltaic systems with battery energy storage (BESS). The objective is to determine whether GAs can balance generation and storage, improve system autonomy, reduce operating costs meet residential demand real-world environments. Design/methodology/approach A algorithm was used as a multi-objective optimization tool optimal solar panels, turbines BESS. model considers demand, climate variability resource intermittency. Metrics such total deficit (TED) were evaluated. results compared exhaustive search validate effectiveness GA. Findings GA identified an configuration TED 3.76%, autonomy 96.24% efficiency 95% cost USD 7,500. In contrast, achieved 4.3%, range 95.7% 90% at 8,000. Although both methods ensure performance, stands out for its computational ability multiple targets. Originality/value not only highlights usefulness designing hybrid microgrids that address renewable intermittency economic viability but also contributes sustainable development goal by promoting affordable solutions communities.

Language: Английский

---

Optimizing urban morphology: Evolutionary design and multi-objective optimization of thermal comfort and energy performance-based city forms for microclimate adaptation

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115750 - 115750

Published: April 1, 2025

Language: Английский

---