Optimization Research on a Novel Community Integrated Energy System Based on Solar Energy Utilization and Energy Storage DOI Creative Commons
Xunwen Zhao, Hailin Mu, Nan Li

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1151 - 1151

Published: Feb. 26, 2025

Integrated energy systems (IESs) are essential for enabling the transition in communities and reducing CO2 emissions. This paper proposes a novel IES that combines photovoltaic (PV) solar thermal with coordinated electrical storage to meet demands of residential communities. The system also incorporates hydrogen production fuel cell vehicles. A dual-objective optimization model was developed, minimizing both economic costs system’s performance evaluated using data from case study Dalian, which showed successfully reduced annual total cost emissions compared conventional systems. key findings PV electrolysis provides environmental advantages. integration offers higher efficiency, while supplies enhance coordination. Additionally, carbon trading prices effectively reduce emissions, but excessively high do not always lead better emission outcomes. introduces comprehensive, multi-energy approach optimizing supply, contributing insights field sustainable

Language: Английский

Coupling RDA-RPR-NSGAII optimization design method for comprehensive performance of Building Integrated Photovoltaics DOI

Shilei Lu,

Hongcheng Zhu, Q. C. Lin

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111869 - 111869

Published: Jan. 1, 2025

Language: Английский

Citations

1
Optimizing Urban Block Morphology for Energy Efficiency and Photovoltaic Utilization: Case Study of Wuhan DOI Creative Commons

Ruoyao Wang,

Yanyan Huang, Guoliang Zhang

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1118 - 1118

Published: March 29, 2025

With global carbon emissions continuing to rise and urban energy demands growing steadily, understanding how block morphology impacts building photovoltaic (PV) efficiency consumption has become crucial for sustainable development climate change mitigation. Current research primarily focuses on individual optimization, while block-scale coupling relationships between PV utilization remain underexplored. This study developed an integrated prediction optimization tool using deep learning physical simulation assess design parameters (building morphology, orientation, layout) affect performance. Through a methodology combining modeling, potential assessment, simulation, the quantified parameters, utilization, consumption. Results demonstrate that appropriate forms layouts reduce shadow obstruction, enhance system capability, simultaneously improve reducing The provides improved accuracy, enabling planners scientifically maximize generation minimize use. Extensive experimental validation demonstrates model analytical methods proposed in this will help break through limitations of research, making PV-energy analysis at scale possible, providing scientific basis achieving low-carbon transformation sector.

Language: Английский

Citations

0
Data-driven distributionally Robust stochastic optimal dispatching method of integrated energy system considering multiple uncertainties DOI

Yixing Zhou,

Hongjuan Hou,

Haoran Yan

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136104 - 136104

Published: April 1, 2025

Language: Английский

Citations

0
Impact of Azimuth Angle on Photovoltaic Energy Production: Experimental Analysis in Loja, Ecuador DOI Creative Commons

Angel Correa-Guamán,

Alex Moreno-Salazar,

Diego Paccha-Soto

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1998 - 1998

Published: April 13, 2025

Efficient solar energy capture is crucial for renewable development, particularly in equatorial regions with consistent radiation. This study evaluated the impact of azimuth angle panels on photovoltaic production Loja, Ecuador. Three systems east and west orientations were installed, data continuously collected from June 2022 to May 2023. Descriptive comparative statistical analyses, including one-way ANOVA Kruskal–Wallis tests, employed assess differences between systems. Additionally, an analysis average hourly was conducted better understand diurnal variations their relationship demand. Results showed no significant east- west-oriented systems, although east-facing a slight advantage certain months, October December. Seasonal found have greater influence than orientation, suggesting that climatic factors should be prioritized when designing installations areas. The findings indicate not decisive factor optimizing efficiency Moreover, demonstrated typical daily curve midday peaks, misaligned morning evening demand, which could affect future design strategies.

Language: Английский

Citations

0
Optimization Research on a Novel Community Integrated Energy System Based on Solar Energy Utilization and Energy Storage DOI Creative Commons
Xunwen Zhao, Hailin Mu, Nan Li

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1151 - 1151

Published: Feb. 26, 2025

Integrated energy systems (IESs) are essential for enabling the transition in communities and reducing CO2 emissions. This paper proposes a novel IES that combines photovoltaic (PV) solar thermal with coordinated electrical storage to meet demands of residential communities. The system also incorporates hydrogen production fuel cell vehicles. A dual-objective optimization model was developed, minimizing both economic costs system’s performance evaluated using data from case study Dalian, which showed successfully reduced annual total cost emissions compared conventional systems. key findings PV electrolysis provides environmental advantages. integration offers higher efficiency, while supplies enhance coordination. Additionally, carbon trading prices effectively reduce emissions, but excessively high do not always lead better emission outcomes. introduces comprehensive, multi-energy approach optimizing supply, contributing insights field sustainable

Language: Английский

Citations

0