A review on classification and comparison of different models in solar radiation estimation

Tolabi, Hajar Bagheri; Moradi, Mohammad Hassan; Ayob, Shahrin Md.

doi:10.1002/er.3161

Cited by 19 publications

(5 citation statements)

References 63 publications

(89 reference statements)

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“…Accordingly, they provided a simpler approach with improved results compared with those of the classical models. Tolabi et al used empirical, simulation, and optimization methodologies leading to a new classification scheme for the solar radiation estimation. The seasonal periodicities are also taken into consideration by some other researchers using further improved models …”

Section: Solar Energymentioning

confidence: 99%

Innovative methodologies in renewable energy: A review

Şen

2019

Int J Energy Res

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Summary This paper is concerned with innovative approaches to renewable energy sources computation methodologies, which provide more refined results than the classical alternatives. Such refinements provide additional improvements especially for replacement of fossil energy usages that emit greenhouse gas (GHG) into the atmosphere leading to climate change impact. Current knowledge gap among each renewable energy source calculation is rather missing fundamentals of plausible, rational, and logical explanations for the interpretation of results. In the literature, there are rather complicated and mechanically applicable methodologies, which require input and output measurement data match with missing physical explanations. The view taken in this review paper is to concentrate on quite plausible, logical, rational, and effectively applicable innovative energy calculation methodologies with simplistic fundamentals. For this purpose, a set of renewable energy methodological approaches is revisited with their innovative structures concerning solar, wind, hydro, current, and geothermal energy resources. With the increase in the renewable energy utilizations to combat the undesirable impacts of global warming and climate change, there is a need for better models that will include physical environmental conditions and data properties in the probabilistic, statistical, stochastic, logical, and rational senses leading to refined and more reliable estimations with application examples in the text. Finally, new research directions are also recommended for more refined innovative energy system calculations.

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Section: Solar Energymentioning

confidence: 99%

Innovative methodologies in renewable energy: A review

Şen

2019

Int J Energy Res

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“…Here, it is defined as the regional radiation constant Nr for the horizontal roof. Then, formula (21) can be expressed as: The heating loss index qH of buildings is a fixed value in a specific region. Hence, the value of Nr/qH must be a constant.…”

Section: Relationship Between Solar Heating Potential Of Roof and Heamentioning

confidence: 99%

Potential of Solar Heating for Ultra-Low-Energy Passive Buildings in Cold Regions

Li¹,

Cao²,

Wang³

et al. 2019

IJHT

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The ultra-low-energy (ULE) passive buildings are an important trend of building energy conservation. China has been steadily pushing forward energy-saving policies for buildings, and started to promote the ULE passive buildings. Solar heating has a great application potential in the ULE passive buildings, which are required to consume a very low amount of energy. This paper establishes a simplified model of slab-type residential unit in cold regions of northern China, and correlates the areas of solar heating available on the south wall and the roof with the heating loss of the building, according to the change law of solar radiation. In addition, the calculation formulas for wall and roof heating factors were proposed under the ULE condition, and applied to compute the heating factors of major cities in northern China. The calculation results verify the effectiveness of the formulas. Through statistical analysis, it is learned that wall and roof heating factors are closely correlated with the regional latitude. Hence, the relationship between them were fitted, and verified by a case study in Shijiazhuang, China. The fitted relationship was proved correct, laying the basis for fast and accurate evaluation of solar heating potential in cold regions.

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“…S ßen (2007) provided a non-restrictive and non-linear relationship between sunshine duration and solar irradiation. Additionally, Tolabi et al (2014) in their study represented a new classification scheme for the solar radiation estimation techniques based on three categories: empirical models, simulated models and optimized models.…”

Section: Introductionmentioning

confidence: 99%