04.02.2013 Views

An innovative greywater treatment system for urban areas ... - SuSanA

An innovative greywater treatment system for urban areas ... - SuSanA

An innovative greywater treatment system for urban areas ... - SuSanA

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

2.4 GREYWATER TREATMENT VIA MBR TECHNOLOGY - ANALYSIS AND<br />

EVALUATION OF INTERNATIONAL TRANSFERABILITY VIA MULTI CRITERIA<br />

DECISION ANALYSIS<br />

Prior to the assessment of the transferability of membrane bioreactor <strong>treatment</strong><br />

technology, it is necessary to find a decision making tool which can support the process. It is<br />

difficult to come up with a decision that determines in which regions of the world <strong>greywater</strong><br />

<strong>treatment</strong> using MBR is reasonable. The technology of membrane bioreactor provides a<br />

capable method to recycle <strong>greywater</strong> with an effective cleaning process. It requires minor<br />

space and provides a high quality. However, the investment costs and energy consumption<br />

of the plant is relatively high. In this respect, international applications need to be identified,<br />

where the requirements and circumstances harmonise ideally with MBR technology, such as<br />

water scarcity combined with lack of space and high reuse requirements <strong>for</strong> permeate. Due<br />

to many influencing factors, this challenge has to be mastered by a decision making tool.<br />

Certainly it can be answered only by taking into account the immediate context of a specific<br />

application. However, it is important that it is based on transparent criteria. Not every factor<br />

has the same importance; there<strong>for</strong>e it is necessary to find a capable instrument <strong>for</strong> decision<br />

making.<br />

2.4.1 DECISION MAKING TOOL<br />

Figure 16 illustrates different methods of multi criteria decision analysis (MCDA) in a tree<br />

structure. At first, there is a main distinction between multi objective decision making<br />

(MODM) and multi attributive decision making (MADM). Based on the number of alternatives<br />

under evaluation, MADM methods are designed to select discrete alternatives, while MODM<br />

are more adequate when dealing with multi-objective planning problems with a theoretically<br />

infinite number of continuous alternatives (Mendoza & Martins, 2006).<br />

To identify the international transferability of MBR technology, the multi attributive decision<br />

making (MADM) is an appropriate method based on a particular number of alternatives.<br />

Within the MADM there is the group of multi criteria methods, here the preference structure<br />

of decision-maker is incorporated in the model. The analysis per<strong>for</strong>ms a complete mapping<br />

and evaluation of pre-selected crucial characteristics.<br />

A reasonable model within the group of multi criteria methods is the multi attribute utility<br />

theory (MAUT), it is based on strict adherence to use theoretical rationality axioms. In<br />

contrast, the utility analysis is a more heuristic method. The cost benefit analysis (CBA) is<br />

regarded as a preliminary investigation on these two methods mentioned be<strong>for</strong>e and will not<br />

be described here. Finally the analytic hierarchy process (AHP) represents a standardized<br />

and process-oriented method (Rohr, 2004).<br />

goal<br />

programming<br />

methods of<br />

mathematical<br />

programming<br />

Multi criteria decision analysis (MCDA)<br />

multi objective<br />

decision methods<br />

(MODM)<br />

...<br />

outranking<br />

multi attributive<br />

decision methods<br />

(MADM)<br />

multi attribute<br />

utility theory<br />

(MAUT)<br />

cost benefit<br />

analysis (CBA)<br />

multi crteria<br />

methods<br />

analytical<br />

hierarchy<br />

process (AHP)<br />

utility analysis<br />

Figure 16: Overview of multi criteria decision making methods; (Oesterdiekhoff, 1993; modified)<br />

17

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!