Showing 461 - 480 results of 1,356 for search '(( 10 (((per OR peter) decrease) OR (((nn decrease) OR (mean decrease)))) ) OR ( 10 i decrease ))*', query time: 0.24s Refine Results
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    Study of the effects of dust, relative humidity, and temperature on solar PV performance in Doha: Comparison between monocrystalline and amorphous PVS by Touati F.A.

    Published 2013
    “…It was estimated that 100 days of dust accumulation over monocrystalline PV panels, caused the efficiency to decrease by around 10%. This limitation makes solar PVs to represent an unreliable source of power for unattended or remote devices and thus strongly suggests the challenge of cleaning the panel's surface regularly or injecting technical modifications. …”
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    Simulation and Optimization of an LNG Plant Cold Section by Katebah, Mary Anna

    Published 2018
    “…Using the short cut method, optimization revealed that optimized MR composition resulted in almost 10% MR compression power and 6% plant operating cost savings, whereas new intermediate propane evaporation pressures, identified using detailed simulation, and flowrates decreased the propane compression power and operating costs by around 3.6%, and 2%, respectively. …”
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    Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021 by Austin, Carter

    Published 2024
    “…HIV-related deaths decreased by 39·7% (33·7–44·5), from 1·19 million (1·07–1·37) in 2010 to 718 000 (669 000–785 000) in 2021. …”
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    Concentrated Solar Power Plant for Key Locations in Doha Qatar by Elbeh, Mutaz Bargas

    Published 2017
    “…One of the pillars of the Qatar National Vision 2030 is the protection and preservation of the environment by decreasing the dependency on hydrocarbon resources and promoting the use and development of renewable energy sources. …”
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    Concrete Pavement Truck Equivalence Factors For Upgrades by Razouki, Sabah Said

    Published 1999
    “…Presented in this paper are the upgrade truck equivalence factors for single unit trucks of type, 1.2 and 1.22 which are not covered by AASHTO. The equivalency factors for front and rear axles of single unit trucks were developed using AASHO Road Test equation after considering the decrease in front axle load and the increase in rear axle load due to the axle load redistribution on upgrades. …”
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