Process alternatives, systematic experimental surveys, simulation studies, and process optimization are often cut down, which leads to processes more expensive and pollutive than their optimum.
Our meta-analysis reveals five research gaps and opportunities for future methodological fusion at the intersection between such approaches, including the analytics-survey, experiments-analytics, experiments-analytics-surveys, simulation-experiments and analytics-simulation interfaces.
Our work therefore sought to present a survey of simulation tools suitable for cloud architectures.
This study first quantified luminous comfort with a dynamic daylighting metric, average daylight autonomy (Ave .DA300), from a questionnaire survey and simulation work.
For this survey process simulation data have been made available by technology owner, Sargas AS, for a coal-fired Sargas block rated at 100 MWe.
The survey uses simulation technique using the SunTool software with reference to dimensions of the house facades calculated at hourly interval from 7.00am to 6.00pm.
Rani and Moreira (2010) presented a survey of simulation and optimization modeling approaches used in reservoir systems operation problems and concluded that the two approaches when combined give the best results.
We refer the interested reader to Gillespie (2007), Barrio et al. (2010) and Erban et al. (2007) for a survey of simulation methods for stochastic reaction networks.
There are already some surveys on simulation tools for WSNs [8, 10]; however, the existing surveys of simulation tools mainly focus on the comparison of some particular simulators.
Hydro-ecological modelers often use spatial variation of soil information derived from conventional soil surveys in simulation of hydro-ecological processes over watersheds at mesoscale (10 100 km2).
