This research developed novel methodologies to achieve cost effective solutions to
overcome many of the difficulties associated with unsteady state material recovery
network synthesis. The work focuses on the development of three different
methodologies: the first is a hierarchical multi-step methodology developed for the
design and scheduling of batch water (material of interest) recycle networks. A new
source- double tank-sink arrangement is introduced to overcome the limitation of samecycle
assignment by permitting sources to be optimally recycled within the same batch
cycle and/or storing and recycling sources to sinks in the following batch cycle. The
problem is solved in interconnected stages. First, network targets such as minimum fresh
water consumption and minimum waste water discharge are identified ahead of network
design. Once design targets have been identified, an iterative procedure is followed to
tradeoff fixed and operating cost to achieve a network design which has the minimum
total annualized cost (TAC). The second developed methodology is a one-step simultaneous approach to design and
schedule cost-effective batch water recycle networks. A new source-tank-sink
representation is developed to embed potential configurations of interest for design and
scheduling. As a result, water may be assigned from sources to sinks within the same
cycle (with or without a storage tank) and in two subsequent cycles using a double tank
arrangement. A mathematical formulation is developed to determine the network design
and sufficient information on the scheduling of the network with the minimum TAC in
one step.
The third methodolgy this research developed is a systematic procedure to schedule the
operation of an unsteady state material recovery network. The network has a set design
and receives a number of feedstocks (sources) that are to be processed into higher
value/quality products. The sources may be stored in tanks, mixed, and/or intercepted in
separation devices to produce the desired products while maximizing profits and meeting
all process constraints. The developed systematic procedure includes mathematical
formulations that allow available sources to be stored, mixed, intercepted and determine
the optimal scheduling scheme over time period ??with the objective of maximizing total
annualized profit of the network.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2008-12-126 |
| Date | 14 January 2010 |
| Creators | Rabie, Arwa H. |
| Contributors | El-Halwag, Mahmoud M. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation |
| Format | application/pdf |
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