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nonlinear semi-infinite programming solver
Development of the
NSIPS
software package.
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process modeling and optimization in wastewater treatment
plants WWTP
optimal design is an interdisciplinary area requiring
mathematicians and chemical and biological engineering
expertise. Poor regions in the North of Portugal need
effective Wastewater Treatment Plant (WWTP) proposals with
reduced installation and operation costs. In this project,
we propose to address the problem of modeling WWTP unitary
processes in the most efficient and economic manner. To
conduct this study, a detailed and efficient analysis of the
existing models is required.
Most of the previous experiences concerning WWTP optimal
design rely on simulation methodologies. Mainly, they find
the best combination of the design variables in order to
achieve the minimum cost, choosing one among some possible
designs. Following an optimization point of view, this
project aims to define a set of equality and inequality
constraints, which come from WWTP unitary processes
modeling, mass and flow balances, and operational
conditions, and a cost function that reflects investment and
operational costs, so that we obtain an optimization problem
that describes with detail and accuracy a WWTP, aiming to
minimize costs.
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solving large-scale integer programs
This project aims to solve
large-scale integer programs combining penalty techniques
based on exponential functions, the volume algorithm and
heuristics.
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