Abstract
In this
contribution, an
optimization
-
based approach
is presented for optimal process
selection and design for domestic
wastewater treatment plant
s
(WWTP
s
).
In particular,
we address the issue of
uncertainties
by formulating
the WWTP design problem as a
Stochastic Mixed Integer
(Non)
Linear Programming (sMI
(N)
LP) problem
, which is then
solved to determine the optimal process
selection and
flow diagram
(i.e. the
interconnection between process units)
that
meet
s
a set of
performance criteria including
effluent
quality requirements
, cost and technical requirements.
The application of the
fr
amework is highlighted
using
a case study aiming at designing a new WWTP under
different objective function scenarios.
For the uncertainty analysis, sources
related to
influent
wastewater composition, operational cost and effluent permit requirements
are
s
tudied
and robust design candidates are generated and discussed.
Original language | English |
---|---|
Book series | Computer Aided Chemical Engineering |
Volume | 33 |
Pages (from-to) | 37–42 |
ISSN | 1570-7946 |
DOIs | |
Publication status | Published - 2014 |
Event | 24th European Symposium on Computer Aided Process Engineering - Budapest, Hungary Duration: 15 Jun 2014 → 18 Jun 2014 |
Conference
Conference | 24th European Symposium on Computer Aided Process Engineering |
---|---|
Country/Territory | Hungary |
City | Budapest |
Period | 15/06/2014 → 18/06/2014 |
Keywords
- Design
- Modelling
- Superstructure optimization
- Uncertainty analysis
- Wastewater treatment