Differential modelling and simulation of solar power potential: a helio-application of biharmonic model

Nnamchi, Stephen Ndubuisi; Mundu, Mustafa M.; Nnamchi, Onyinyechi Adanma; Onochie, Uche Paul; Jagun, Z.O.

doi:10.1007/s40808-021-01232-2

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…The study area is explained in Figure 1, the study area includes the entire Uganda (All regions, ARs) covering 241,551 km 2 (Nnamchi et al, 2022), while the four regions making up ARs; the Northern Region (NR) is represented in Figure 1, measuring 85,392 km 2 (Nnamchi et al, 2022), the Eastern Region (ER) is shown in Figure 1 measuring 39,479 km 2 (Nnamchi et al, 2022), the Central Region (CR) is displayed in Figure 1 measuring about 61,403 km 2 (Nnamchi et al, 2022) and the Western Region (WR) is shown in Figure 1 measuring 55,277 km 2 (Nnamchi et al, 2022). Uganda is a sub-Saharan country, bordered to the north by South Sudan, to the east by Kenya, to the west by the Congo and to the south by Rwanda and Tanzania.…”

Section: Study Areamentioning

confidence: 99%

“…The differential model (Nnamchi et al, 2022) is applied in modelling and simulation of solar power potential, SPP (Wm 22 ) and equally applied in fluid mechanics (Sun et al, 2017), however, this paper extends the application to wind flow in solar fields. The differential (biharmonic) model is presented in Equation ( 11) as…”

Section: Differential Model Formulationmentioning

confidence: 99%

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Modelling and simulation of wind flow: A gradient method of identifying windy region

et al. 2023

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This paper presents biharmonic modelling and simulations of surface wind flow, which identify windy locales through wind speed gradients. The bulk measured and meteosat wind speed data encapsulate the wind isotachs and wind flow gradients, which are very useful in identifying windy locales. Thus, this paper presents a biharmonic wind flow model, BWFM for the development of wind isotachs and gradients to identify locales suitable for installing solar photovoltaic power plants within the study areas. The techniques include the acquisition of wind speed data (1980–2020) from the National Aeronautic and Space Administration (NASA), development of multiple BWFM solutions (free and forced) depending on the presence and absence of forcing function, respectively. The forcing function represents the topographic and orographic features of the study areas. The spatial development of isopleth of the study areas, unveiled the isotachs. The wind speed gradients were obtained by scalar computation of 2-D wind speed gradients. Comparison of forced solution with the threshold or maximum free solution engendered the identification of windy locales. The results of the model were validated against NASA data. The average wind speed threshold isotach (2.83 m/s) and wind gradient ([Formula: see text]) for the study areas (All Regions) were established by scalar computation of free solution gradients. The study areas include Northern, Eastern, Central and Western Regions recorded the following maximum forced average wind speeds (2.725, 2.755, 2.875 and 1.794 m/s, respectively) and maximum wind flow gradients (insignificant, 0.03767, 0.08469 and infinitesimal [Formula: see text], respectively). These results are useful for identifying windy locales for installation of solar and wind facilities.

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Section: Study Areamentioning

confidence: 99%

Section: Differential Model Formulationmentioning

confidence: 99%

Modelling and simulation of wind flow: A gradient method of identifying windy region

et al. 2023

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“…[10], conducted experimental investigations using a vapor compression device and R1234yf has a cooling capacity approximately 9% less than R134a. [14][15][16][17][18][19], conducted an experimental study on a variable displacement compressorequipped automobile air conditioning system and found that R1234yf systems perform less well than R134a systems when cooling capacity is same. [11], conducted a quick performance comparison of R1234yf and R134a in a vehicle bench tester and concluded that R1234yf had a poorer coefficient of performance and cooling capacity than R134a by 2.7 percent and 4%, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…[11], conducted a quick performance comparison of R1234yf and R134a in a vehicle bench tester and concluded that R1234yf had a poorer coefficient of performance and cooling capacity than R134a by 2.7 percent and 4%, respectively. [15], investigated the influence of condenser subcooling on the performance of an air conditioning system using R134a or R1234yf. Due to the thermodynamic differences between R1234yf and R134a, it was established that the COP of the system operating with R1234yf can benefit more from condenser subcooling.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Operational Parameters on the Performance of an Air Conditioning System

Sangotayo¹,

Nnamchi²,

Mundu³

2023

IDOSR JES

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Heat and moisture are removed from occupied spaces by air conditioning systems. Air conditioners regulate moisture and temperature, and improve air quality. Human efficiency is dramatically boosted and worker's efficiency is affected by their work environment. Human being is more comfortable and productive with air conditioning. After a few years of excellent operation, the system began to fail, resulting in numerous resident complaints. The goal of this study is to establish operational characteristic models for an air conditioning system's performance in order to fulfill future client requirements. The inlet and output temperatures as a function of local time were measured for the LSBLG 1200/MCF model central water chiller air conditioning system. The COP and EER curves were examined. MiniTAB 16.0 was used to establish the characteristic curves and models, according to the findings. The regression models are statistically significant at 97.7 percent and 91.1 percent for p-value less than 0.05 and R2 , respectively. The COP and EER values were calculated, and it was determined that the best cooling occurred between 1 and 3 p.m. The chiller and cooling tower achieve maximum coefficients of performance (COP) of 52 and 20, respectively. The chiller and cooling tower have EER ratings of 177 and 68, respectively. Regression analysis is used to develop models that characterize the statistical relationship between operational parameters such as input and outlet temperatures as a function of local time and response variables such as COP and EER. The performance of the system can be monitored using existing models. Keywords: Modeling, operational parameters, performance, and air conditioning system.

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Numerical modelling of wind flow for solar power generation in a case study of the tropical zones

Mundu

Nnamchi

Ukagwu

et al. 2022

Model. Earth Syst. Environ.

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Differential modelling and simulation of solar power potential: a helio-application of biharmonic model

Cited by 5 publications

References 47 publications

Modelling and simulation of wind flow: A gradient method of identifying windy region

Modelling and simulation of wind flow: A gradient method of identifying windy region

Modeling of the Operational Parameters on the Performance of an Air Conditioning System

Numerical modelling of wind flow for solar power generation in a case study of the tropical zones

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