A model for determining the global solar radiation for Makurdi, Nigeria

Yohanna, Jonathan K.; Itodo, Isaac N.; Umogbai, Victor I.

doi:10.1016/j.renene.2010.12.028

Cited by 56 publications

(13 citation statements)

References 6 publications

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“…Chukwu and Nnachukwu [64] used artificial neural network (ANN) method for estimating global solar radiation for Makurdi and observed that their approach (ANN) yielded better performance over researchers that employed empirical model's Angstrom-Prescott [16][17]; Bamiro [65]; Swartmaann-Ogunlade, [66]; Burari and Sambo [67]; Augustine and Nnachukwu [68]. Olatomiwa et al [71] reported better performance using ANFIS method for Iseyin, Nigeria compared to several researchers that used empirical models Yohanna et al [72]; Abdalla [1994]; Bahel et al [74]; Bakirik [75]; ANN models Ramediani et al [76]; and ANFIS method Ramediani et al [76]. Ibeh et al [61] Tables 3, 6-9.…”

Section: Discussionmentioning

confidence: 99%

“…There are five layers for ANFIS, including fuzzification, rules, normalization, defuzzification and summation. Olatomiwa et al [71] analysed ANFIS for Iseyin, Nigeria using inputs such as maximum temperature, minimum temperature and sunshine hours. 15 years data was employed to train the model while 6 years of data was applied for testing.…”

Section: Artificial Neuro-fuzzy Inference System (Anfis)mentioning

confidence: 99%

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A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

Nwokolo

Ogbulezie

2017

IJPR

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A routinely research of solar radiation is of vital requirement for surveys in agronomy, hydrology, ecology and sizing of the photovoltaic or thermal solar systems, solar architecture, molten salt power plant and supplying energy to natural processes like photosynthesis and estimates of their performances. However, measurement of global solar radiation is not available in most locations across in Nigeria. During the past 5 years in order to estimate global solar radiation on the horizontal surface on both daily and monthly mean daily basis, numerous empirical models have been developed for several locations in Nigeria. As a result, various input parameters have been utilized and different functional forms used. In this study aims at comparing, classifying and reviewing the empirical and soft computing models applied for estimating global solar radiation. The empirical models so far utilized were classified into eight main categories and presented based on the input parameters employed. The models were further reclassified into several main sub-classes and finally represented according to their developing year. On the whole, 145 empirical models and 42 functional forms, 8 artificial neural network models, 1 adaptive neural fuzzy inference system approach, and 1 Autoregressive Moving Average methods were recorded in literature for estimating global solar radiation in Nigeria. This review would provide solar-energy researchers in terms of identifying the input parameters and functional forms widely employed up until now as well as recognizing their importance for estimating global solar radiation using soft computing empirical models in several locations in Nigeria.

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Section: Discussionmentioning

confidence: 99%

Section: Artificial Neuro-fuzzy Inference System (Anfis)mentioning

confidence: 99%

A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

Nwokolo

Ogbulezie

2017

IJPR

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“…It based on the annual average of the daily clearness index, the annual sky conditions which have six patterns, the harmattan-haze or dry season pattern from October/November, December, and January with occasional dust-free, dry season pattern from February, March, and April, and four rainy season patterns in August, July and September, June and / October and May [19]. The variations are in tune with these six patterns, while the diffuse coefficient has an almost constant value of about 0.24 the seasons [20]. The solar hours are relative 12 hours per day per annum from 6:42 am to 6:25 pm, with its pick at noon, as shown in Fig.…”

Section: A Case Studymentioning

confidence: 99%

Daylighting Performance Assessment of Side-Lit University Lecture Theatres in the Hot-Humid Climate of Makurdi in Nigeria

Ayoosu*,

Lim,

Leng

2020

IJRTE

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Daylighting is required to enhance visual comfort; whereas its illumination provides renewable functional interior lighting for specific programmes. Hence, this study examines the levels of daylight illumination for teaching and learning in two lecture theatres each located at the Federal University of Agriculture Makurdi (UAM) and Benue State University Makurdi (BSU) in Makurdi, Nigeria. The two buildings selected for the daylighting performance employed post-occupancy evaluation approach. A digital camera was employed to take photographs, whereas digital light meters were employed to evaluate the levels of illumination on the work plane. The results showed that 80% of the study space has inadequate indoor daylight illumination quantity and distribution as well as poor daylight ratios of 1.1and 0.9 for UAM lecture theatre and BSU lecture theatre, respectively Hence, the lighting conditions in the selected buildings fall short of the international lighting benchmarks (IESNA). Therefore, a pragmatic daylight design strategy is required to enhance daylight levels in the lecture theatres for energy-saving and visual comfort as well as onwards design and fusion in the national building code.

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“…The maximum values to be retained, in charge and discharge modes, correspond to the minimum between the estimated quantities, as presented by (14).…”

Section: Efficiency and Energy Storage Capacitymentioning

confidence: 99%

Design Methodology of a Multi-village Microgrid

2018

ijSmartGrid

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This paper deals the optimal sizing and location of the power plant in a microgrid interconnecting several villages. The case study is defined by eight villages of rural community of Dakoro, in Niger. The methodological approach proposed is based on a matrix of distances established from the geographical coordinates of the sites. This serves as a basis for the estimation of the losses as well as for estimation of the shortest path defining the architecture of the microgrid. The energy requirement is then estimated for sizing power sources (PV, diesel generator) and energy storage units. The particle swarm optimization method is applied to the data with some criteria and constraints. The proposed energy flow management strategy is tested on a realtime system according to different scenarios. The results are presented and analyzed.

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A model for determining the global solar radiation for Makurdi, Nigeria

Cited by 56 publications

References 6 publications

A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

Daylighting Performance Assessment of Side-Lit University Lecture Theatres in the Hot-Humid Climate of Makurdi in Nigeria

Design Methodology of a Multi-village Microgrid

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