detailed programme - SIMS - Scandinavian Simulation Society

Keyword: hydropower, optimization, genetic algorithm
Abstract: State of the art: Local optimization is common knowledge but leads to
difficult calculations and time consuming search for an optimum. Global
optimization is difficult in spreadsheets or matlab software but becomes easy in a
software using Genetic Algorithms. An Objective Function is built by finding the
net present value of the future income from energy sales and subtracting the
financial and running costs. The basic equations are studied; different objectives,
resource utilization policies and environmental considerations are discussed with
respect to their influence on the result. In the final phase a Genetic Algorithm
routine search out an optimum and this is demonstrated on a case study
example.Authors: Jonas Eliasson, Gudmundur Ludvigsson
Organization: Univ Iceland, Iceconsult
Paper 4
Title: ACAUSAL MODELLING AND SIMULATION OF STANDALONE SOLAR POWER
SYSTEMS AS HYBRID DAE
Keyword: Hybrid DAE, Photovoltaic, Battery, C-DC converter, Modelica, Acausal
modeling, Standalone solar power system
Abstract: Due to the presence of algebraic constraints and its different modes of
operation, a standalone solar power system consisting of photovoltaic arrays,
battery bank, electrical load, and a converter is becoming more complex and can
no longer be modelled using conventional causal techniques based on ordinary
differential equations. A more appropriate way to model these complex systems
is to use hybrid differential algebraic equations (hybrid DAE). In effect, in this
paper, we propose a nonlinear hybrid DAE-based model of a standalone solar
power system. The model is developed using the Modelica language that allows
object-oriented and acausal modelling of multi-mode systems. The developed
model is solved employing general purpose hybrid DAE solvers to simulate the
system. The results of the simulation indicate good accuracy for the variables of
components as well as the proper match with the information available from
manufacturer datasheets. It is shown that the simulation provides sufficiently
accurate prediction of the transient behaviour of the system including mode
transitions which is vital for any model-based controller.
Authors: Arash M. Dizqah, Krishna Busawon, Alireza Maheri, Peter Fritzon.
Organization: Northumbria University, Linköping University.
Paper 11
Title: CFD Modelling of Gas Explosions
Keyword: confined explosions, CFD, multiple obstacles, RANS model, simulation,
deflagration
Abstract: Nowadays, safety is an integral part of industrial projects. Neglecting
safety causes financial and personal tolls. Many severe accidents which cause
large losses are happened by explosion of fuels. Piper Alpha, Macondo accident in
Mexican gulf and Buncefield explosion are some examples related to neglecting
safety. Severity of explosions in oil and gas industries is so high because of
processing and storing a large amount of fuels and high level of congestion. In
order to investigate the factors that affect explosion behavior, many researches
have been done. Different methods are used to examine explosion behavior.
Experimental and simulation methods are two ways of investigation.
Experimental method is one of testing methods in oil and gas industries. Many
experiments had been done until 1992.However scales of those experiments were
much smaller than similar cases in real world. So extrapolation’s results may not