Experimental investigation of the effects of silica/water nanofluid on PV/T (photovoltaic thermal units)

Radiative sky cooling cools an object on the earth by emitting thermal infrared radiation to the cold universe through the atmospheric window (8–13 μm). It consumes no electricity and has great potential to be explored for cooling of buildings, vehicles, solar cells, and even thermal power plants. Radiative sky cooling has been explored in the past few decades but limited to nighttime use only. Very recently, owing to the progress in nanophotonics and metamaterials, daytime radiative sky cooling to achieve subambient temperatures under direct sunlight has been experimentally demonstrated. More excitingly, the manufacturing of the daytime radiative sky cooling material by the roll-to-roll process makes large-scale deployment of the technology possible. This work reviews the fundamental principles of radiative sky cooling as well as the recent advances, from both materials and systems point of view. Potential applications in different scenarios are reviewed with special attention to technology viability and benefits. As the energy situation and environmental issues become more and more severe in the 21st century, radiative sky cooling can be explored for energy saving in buildings and vehicles, mitigating the urban heat island effect, resolving water and environmental issues, achieving more efficient power generation, and even fighting against the global warming problem.

Radiative sky cooling: Fundamental principles, materials, and applications

Water spray cooling technique applied on a photovoltaic panel: The performance response

Effects of various parameters on PV-module power and efficiency

Global advancement of cooling technologies for PV systems: A review

Performance evaluation of a PV (photovoltaic) module by back surface water cooling for hot climatic conditions

In this paper, the performance characteristics of a photovoltaic (PV) module are modeled numerically and validated experimentally for the typical climatic conditions of Dhahran, Saudi Arabia. The electrical model is developed using EES software including all the important parameters like cell temperature, maximum power point current, maximum power point voltage, electrical power, and maximum power point efficiency. The model results were compared with the experimental values obtained by exposing the PV panel to the local environmental conditions of Dhahran. The variation of cell temperature, maximum power point current, voltage, maximum power and efficiency of PV module was recorded for a typical day and the effect of climatic conditions including solar irradiance, ambient temperature and wind speed was quantified. Finally, the modeled results were found to be in close agreement with the experimental values with a correlation coefficient of r = 0.98 and root mean square error of e = 5.2% for the overall e...

https://journals.sagepub.com/doi/pdf/10.1260/0144-5987.33.6.909

Performance Evaluation of a PV Module under Climatic Conditions of Dhahran, Saudi Arabia

Designing and planning of the switching, signaling and support network is a fairly complex process in cellular mobile network. In this paper, the problem of assigning cells to switches in cellular mobile network, which is considered a planning problem, is addressed. The cell to switch assignment problem which falls under the category of the Quadratic Assignment Problem (QAP) is a proven NP--hard problem. Further, the problem is modeled to include an additional constraint in the formulation. The additional constraint is of the maximum number of switch ports that are used for a cell's Base Station Transceiver System (BTS) connectivity to the switch. The addition of the constraint on the number of ports on a switch has immense practical significance. This paper presents a non--deterministic heuristic based on Simulated Evolution (SimE) iterative algorithm to provide solutions. The methods adopted in this paper are a completely innovative formulation of the problem and involve application of Evolutionary Computing for this complex problem that may be extended to solutions of similar problems in VLSI design, distributed computing and many other applications.

A heuristics based approach for cellular mobile network planning

Network planning in the highly competitive, demand-adaptive and rapidly growing cellular telecommunications industry is a fairly complex and crucial issue. It comprises collective optimization of the supporting, switching, signaling and interconnection networks to minimize costs while observing imposed infrastructure constraints. This work focuses on the problem of assigning cells to switches, which comprise the Base Station Controller and Mobile Switching Center, in a cellular mobile network. As a classic instance of the NP-hard Quadratic Assignment Problem (QAP), deterministic algorithms are incapable of nding optimal solutions in the vast complex search space in polynomial time. Hence, a randomized, heuristic algorithm, such as Simulated Evolution is used in this work to optimize the transmission costs in cellular networks. The results achieved are compared with existing methods available in literature.

/pdf/designing-cellular-mobile-networks-using-non-deterministic-3p8bkuiddr.pdf

Abdul Subhan

Papers

Performance evaluation of a PV (photovoltaic) module by back surface water cooling for hot climatic conditions

Performance Evaluation of a PV Module under Climatic Conditions of Dhahran, Saudi Arabia

A heuristics based approach for cellular mobile network planning

Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics