International Journal of Innovative Research and Development

Abstract

As is well known that, the thermo-hydraulic boundary layer formation is dependent on the surface geometry and flow of fluid through the plates used for the flow. Therefore, an experimental investigation has been carried out to study the effect on thermo-hydraulic boundary layer by using 2W (4V) type of artificial roughness geometry of the absorber plate of solar air heater. The experiments were performed to collect the data for the forced convection flow of air in solar air heater rectangular duct; with one broad wall roughened by 2W shaped ribs. The evaluation of Reynolds number has been carried out for this artificial roughness geometry, in the absorber plate of solar air heater duct. The range of parameter used in this experiment has been decided on the basis of practical consideration of the system and operating conditions. The Result has been compared with smooth duct under similar flow and boundary conditions. It is found from the investigation that on increasing the roughness of a roughened plate the Reynolds number also increases, thus increasing the turbulence of the flow.

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Abstract

Improving energy efficiency can be a powerful tool for achieving sustainable economic development and most important for reducing energy consumption and environmentalpollution on national as well as international level. Unfortunately, energy efficiency is difficult to conceptualize and there is no single commonly accepted definition. Because of that, measurement of achieved energy efficiency and its impact on national or internationaleconomy is very complicated.

Gross domestic product is often used to assess the financial effects of applied energy

efficiency measures at the national and international levels. The growth in energyconsumption per capita leads to a similar growth in gross domestic product, but it isdesirable to provide for the reduction of these values.

The paper analyzes some standardindicators and the analysis has been applied to a very large sample ensuring reliability forconclusion purposes. National parameters for 128 countries in the world in 2011(2007) were analyzed. In addition to that, parameters were analyzed in the last year for global regionsand India.

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