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Insert the title here - EVUR - TU Berlin

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sound evaluation of energy systems grew significantly. Sustainable development claims that<br />

at least <strong>the</strong> economic, ecological and social impacts of an activity are considered equally. 1<br />

For sustainable development within energy supply energy systems have to be looked at from<br />

different disciplines as to incorporate all <strong>the</strong> consequences brought along with <strong>the</strong>ir<br />

implementation. This approach makes an evaluation of energy systems more complex. In<br />

addition to that participation of stakeholders becomes more important as energy systems face<br />

an increasing opposition of <strong>the</strong> public. Not only decentralized energy systems like wind<br />

power plants have to deal with problems of acceptance. In Germany utilities are struggling<br />

with approval processes from local governments as <strong>the</strong> public offers resistance to <strong>the</strong> building<br />

of new central power plants. T<strong>here</strong>fore, participation of stakeholders in decision processes of<br />

new energy systems is necessary for <strong>the</strong> success and stability of energy systems. As energy<br />

issues are usually complex, dynamic, dealing with uncertainty and different stakeholders,<br />

<strong>the</strong>re is a need for new decision tools such as multi criteria decision analysis (MCDA)<br />

(Loken07).<br />

But how widespread are MCDA methods for energy decisions already? In this paper a review<br />

of <strong>the</strong> recent literature is published to analyse <strong>the</strong> potential of MCDA for real world<br />

applications. A classification is presented to indicate trends and challenges.<br />

Multi criteria decision making or analysis is a generic term used for methods that help people<br />

to make decisions in cases when <strong>the</strong>re is a trade off between conflicting criteria (Loken07).<br />

Multi criteria methods have been developed in <strong>the</strong> discipline of “Operations Research” which<br />

is part of applied ma<strong>the</strong>matics. Literature offers different appellations that are sometimes used<br />

simultaneously. T<strong>here</strong>fore, a short description of differences is given below.<br />

T<strong>here</strong> are two main groups of multi criteria methods that are distinguished<br />

(Zimmermann1991):<br />

• In Multi Criteria Decision Analysis or Making (MCDA/MCDM) <strong>the</strong>re exist a limited<br />

amount of previously known alternatives that have to be evaluated and ranked.<br />

Depending on <strong>the</strong> method applied a complete or a partial ranking can be achieved.<br />

• In Multi Objective Decision Making (MODM) an optimal solution will be calculated<br />

out of a set of unlimited feasible alternatives. The alternatives are not predetermined<br />

but instead a set of functions is optimised subject to certain conditions. Here <strong>the</strong> best<br />

solution is sought.<br />

Since <strong>the</strong> origin of Multi Criteria Decision Making in <strong>the</strong> 1960s two main schools have<br />

evolved that underline different approaches and methods:<br />

• “European School” with <strong>the</strong> approach of “Multi Criteria Decision Aid”(MCDA)<br />

• “American School” with <strong>the</strong> approach of “Multi Criteria Decision Making” (MCDM)<br />

The principle of MCDM is based on clear preferences of an unspecified decision maker. A<br />

clear structured optimisation problem will be solved with a ma<strong>the</strong>matical process (Omann04).<br />

MCDA compared to MCDM gives more importance to <strong>the</strong> process of decision aiding than on<br />

1<br />

T<strong>here</strong> are different approaches available. For fur<strong>the</strong>r information compare (Kopfmüller00), (Empacher99),<br />

(Omann00)

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