An Economical And Relatively Efficient Implementation of the Real–Time Solar Tracking System

Kalhoro, Sabir Ali; Musavi, Sayed Hyder Abbas; Ali, Sikandar; Rahoojo, Saadullah; Nawaz, Asim

doi:10.17993/3ctecno.2019.specialissue2.68-99

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Foremost of those is that the quantity of irradiation falling on the surface of the PV modules, that successively depends on the climate. If irradiation were the sole parameter influencing of power output [19][20][21][22][23][24][25].…”

Section: Wind and Solar Energy Resources Potential Across Coastal Megmentioning

confidence: 99%

Wind and Solar Energy Resources Potential across Coastal Mega Cities, of Pakistan

2019

IJRTE

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Pakistan has the vast potential of renewable energy (RE) resources but still, rely on the pricy fossil fuel-based power generation. The developed nation work on the shifting of conventional resources based generation into renewable energy-based generation, but Pakistan still engages to negotiate fossil fuel trade. However, Pakistan has 1100Km of the coastal belt that acquires the huge potential of RE. The different metrological department measure the RE exists in Pakistan, the World Bank Group is one of them. The World Bank group observe the solar and wind potential across the megacity of Pakistan including Karachi. In this research, we have explored the World Bank efforts by highlighting the availability of the solar and wind power across coastal megacity, of Pakistan. The main focus is on the estimates of global horizontal irradiation (GHI) parameter of solar and wind speed for wind resources along with the yearly values provided by the World Bank. The wind power depend on wind speed across so, in this research, the wind speed is observed across the coastal megacity of Pakistan for the wind turbine installation. The wind speed data is occupied from the World Bank site to explore wind model for the future power supply across Karachi of Pakistan. Similarly, the solar irradiation calculation is very much important to install solar models. So we have select the GHI for the solar observation across Karachi of Pakistan. The GHI data is taken from the World Bank site and exploring on excel to find the future power generation across coastal megacity of Pakistan. Both wind speed and GHI parameter are observed by a yearly basis. It is detected that the regular trend for each of the selected years is related to the next year so the perceived trend of GHI and wind speed is valid for the upcoming year. Hence the GHI and wind speed availability indicate the installation of solar penal and wind turbine for the power generation across the coastal megacity of Pakistan. The GHI and wind speed experimental data for the coastal megacity contain a huge amount of solar and wind potential. The planner needs to explore this energy by installing a suitable quantity of the solar plant and windmills for power generation.

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Section: Wind and Solar Energy Resources Potential Across Coastal Megmentioning

confidence: 99%

Wind and Solar Energy Resources Potential across Coastal Mega Cities, of Pakistan

2019

IJRTE

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“…The World Bank group helps to choose the site that needed by many specialists to avoid subjective biases, usually wishing on rough estimations wherever the topography wasn't absolutely. Therefore, this study proposes a procedure methodology that estimates the potential of solar energy for prioritizing and choosing sites for power production from the PV system exploitation in public offered digital numerical maps (Reyes et al, 2019;Shahid, Kalhoro, Ara, Bano & Perween, 2019;Kalhoro et al, 2019;).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2019

3C Tecnología

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Intelligent disaster management and green computing constitute rapidly expanding research areas spanning the fields of soft computing, environmental technologies, computer science, engineering and information management. The explosion of Open and Big Data have given rise to new opportunities for understanding and solving formerly intractable environmental and disaster management challenges. The use of Big Data has now been mainstraimed into all recent trends in computing and engineering as well different disciplinary fields such as computational biology, disaster response, healthcare, social networks, finance, transportation and telecommunications. This special issue provides a unique and powerful vehicle for disseminating the latest research dealing with intelligent disaster management and green computing research, development, applications and its intelligence. The rise of Big and Open Data-and the ease with which scientists, communities, thought leaders and decision makers can access it-redefining how governments, civil society and the private sector operate. References to Big and Open Data have grown exponentially over in the past several years, and examples of big data abound, giving rise to a new philosophy of 'open-source environmental governance and disaster management', that promotes a linkage between the principles of the disaster science, green computing and open-source and open-content movements.This set of distinguished eighteen papers strengthens interdisciplinary linkages between the fields of green computing and disaster science investigates current gaps in environmental technologies and and the opening of new research directions in the era of Big and Open Data era. Rather than separating the engineering technologies from its 'real world' impact, those contributing to this special issue have demonstrated attention to the issues of societal resilience, environmental governance and disaster risk reduction and that their work informs. Accordingly, this special issue helps 3C Tecnología. Glosas de innovación aplicadas a la pyme.

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