Feasibility analysis of hydrogen production potential from rooftop solar power plant for industrial zones in Vietnam

Phap, Vu Minh; Sang, Le Quang; Quang, Ninh Nguyen; Binh, Doan Van; Hung, Bui Bao; Huyen, Cu Thi Thanh; Tung, Nguyen Thanh

doi:10.1016/j.egyr.2022.10.337

Cited by 14 publications

(6 citation statements)

References 29 publications

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“…However, the substantial mutual shading between high-rise buildings may have affected the potential of PV installations on the building facade. In contrast, the larger roof area, horizontal orientation, and minimal shading of single-story industrial blocks led to a higher proportion of high-quality solar radiation [13]. Consequently, the roofs of single-story industrial buildings appear to be the preferred location for developing solar resources.…”

Section: Characteristics Of the Distribution Of Solar Radiation On Bu...mentioning

confidence: 98%

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Optimizing Solar Power Generation in Urban Industrial Blocks: The Impact of Block Typology and PV Material Performance

Wang,

Li,

et al. 2024

Buildings

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The block-scale application of photovoltaic technology in cities is becoming a viable solution for renewable energy utilization. The rapid urbanization process has provided urban buildings with a colossal development potential for solar energy in China, especially in industrial areas that provide more space for the integration of PV equipment. In developing solar energy resources, the block layout and the PV materials are two critical factors affecting the distribution of solar radiation and generation. However, few studies have analyzed how to select the most suitable PV materials for different layouts of industrial blocks to obtain the best generation. This study considered the layout of industrial blocks and PV materials simultaneously, and the generation yield was calculated when combined. A total of 40 real industrial block cases were constructed, and radiation distribution data on building surfaces of different block cases were calculated. Data on both were combined to calculate the generation of different PV materials for each block type. The findings indicated that single-story industrial blocks possessed the highest potential for solar radiation, primarily due to the higher percentage of roof area. The influence of PV materials on the installation rate of different building facades varied, with the installation rate of the west facade being the most impacted by PV performance and the roof being the least impacted. Using different PV materials in industrial blocks could lead to a 59.2% difference in solar generation capacity. For single-layer industrial blocks, mono crystalline and poly crystalline silicon were preferable to achieve higher power generation. In contrast, multi-story and high-rise industrial blocks were best suited for a-Si and CIGS to attain higher cost performance. The methods and results of this study guided the selection and installation of PV equipment in various block typologies, thereby improving the refinement of solar resource development, maximizing solar resource utilization, and promoting the development of energy conservation and carbon reduction in cities.

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Section: Characteristics Of the Distribution Of Solar Radiation On Bu...mentioning

confidence: 98%

“…The extensive adoption of solar energy in industrial buildings located within urban areas offers tremendous potential and numerous advantages [12][13][14]. Industrial buildings generally have substantial underutilized roofs and facades, providing ideal locations for solar energy development.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Solar Power Generation in Urban Industrial Blocks: The Impact of Block Typology and PV Material Performance

Wang,

Li,

et al. 2024

Buildings

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“…As reported, solar energy could be harvested for a large number of use purposes such as electricity production (Ghodbane et al, 2020;Y. Khan et al, 2024;, heat production (Faisal Ahmed et al, 2021;Franzese et al, 2020;Said et al, 2022b), distillation (Gandhi et al, 2022;Larik et al, 2019;Tri Le et al, 2020), food drying (Lingayat et al, 2020;Madhankumar et al, 2023;Murugavelh et al, 2019), and hydrogen production (Hoang et al, 2023c;Okonkwo et al, 2022;Phap et al, 2022). However, weather variables vary throughout the year, photovoltaic (PV) electricity output is by nature stochastic and experiences sporadic swings.…”

Section: Application Of ML In Solar Energymentioning

confidence: 99%

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Le,

Paramasivam,

Adril

et al. 2024

Int. J. Renew. Energy Dev.

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This review article examines the revolutionary possibilities of machine learning (ML) and intelligent algorithms for enabling renewable energy, with an emphasis on the energy domains of solar, wind, biofuel, and biomass. Critical problems such as data variability, system inefficiencies, and predictive maintenance are addressed by the integration of ML in renewable energy systems. Machine learning improves solar irradiance prediction accuracy and maximizes photovoltaic system performance in the solar energy sector. ML algorithms help to generate electricity more reliably by enhancing wind speed forecasts and wind turbine efficiency. ML improves the efficiency of biofuel production by optimizing feedstock selection, process parameters, and yield forecasts. Similarly, ML models in biomass energy provide effective thermal conversion procedures and real-time process management, guaranteeing increased energy production and operational stability. Even with the enormous advantages, problems such as data quality, interpretability of the models, computing requirements, and integration with current systems still remain. Resolving these issues calls for interdisciplinary cooperation, developments in computer technology, and encouraging legislative frameworks. This study emphasizes the vital role of ML in promoting sustainable and efficient renewable energy systems by giving a thorough review of present ML applications in renewable energy, highlighting continuing problems, and outlining future prospects

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“…Given the potential of solar and wind in Vietnam, green H 2 production using solar and wind energy is very promising. In a recent study by Vu et al [49], they reported that the hybrid power system installed in industrial zones in Can Tho, Quang Nam, and Binh Thuan provinces could produce approximately 17 tons of green H 2 per year to supply the FC operation depending on the potential of solar energy in each province. In general, solar and wind potential along with map of solar and wind energy projects in Vietnam are depicted in Fig.…”

Section: Potential For Green Hydrogen In Vietnammentioning

confidence: 99%

Green hydrogen economy: Prospects and policies in Vietnam

Hoang

Pandey

Lichtfouse

et al. 2023

International Journal of Hydrogen Energy

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Feasibility analysis of hydrogen production potential from rooftop solar power plant for industrial zones in Vietnam

Cited by 14 publications

References 29 publications

Optimizing Solar Power Generation in Urban Industrial Blocks: The Impact of Block Typology and PV Material Performance

Optimizing Solar Power Generation in Urban Industrial Blocks: The Impact of Block Typology and PV Material Performance

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Green hydrogen economy: Prospects and policies in Vietnam

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