Civil Engineering Reference
In-Depth Information
• Disaggregation Approach (UTADIS: Diakoulaki et al.
1999
): energy analysis
and policy making.
• Value tree method (Renn
2003
): evaluation of energy scenarios, waste energy
utilization.
• Multi-attribute utility analysis (Renn
2003
): selection of energy scenarios, waste
energy utilization.
• PROMETHEE (Georgopoulou et al. 1998; Goumas et al.
1999
; Haralambopo-
ulos and Polatidis
2003
; Cavallaro
2005
): promotion, planning and assessment
of
renewable
energy
sources;
geothermal
and
renewable
energy
projects;
''scenarios'' for geothermal resources; renewable energy plants.
• fuzzy sets (Zadeh
1965
) (Beccali et al.
1998
; Cavallaro and Ciraolo
2005
;
Gamboa and Munda
2007
; Jaber et al.
2008
; Alanne et al.
2007
): technologies
of energy conversion and heating distribution, renewable energy diffusion
strategies, wind energy plants, locating wind turbines.
• PAIRS (Salo and Hämäläinen
1992
): residential heating systems and the han-
dling of uncertainties related to the actual preferences of decision-makers for
type heating systems.
• Displaced
Ideal
(Mirasgedis
and
Diakoulaki
1997
):
electricity
generation
systems.
• Information deficiency method (Afgan and Carvalho
2002
): new and renewable
energy technologies (power plants).
• AHP (Saaty
2001
) method (Kablan
2004
, Nigim et al.
2004
; Jaber et al.
2008
;
Alanne et al.
2007
): evaluation of conventional and renewable energy sources
for household heating, prioritization of policy instruments, prefeasibility ranking
of alternative renewable energy sources.
MCDM is the most well-known branch of decision-making. It is a branch of a
general class of operations research (OR) models which deal with decision prob-
lems under the presence of a number of decision criteria. According to many
authors MCDM is divided into multi-objective decision-making (MODM) and
multi-attribute decision-making (MADM) (Triantaphyllou et al.
1998
). Different
authors have different names for the concept of MODM such as multiple-criteria
design, multiple objective mathematical programming or multi-objective optimi-
zation. MODM methods (Diakaki et al.
2010
; Asadi et al.
2012a
; Diakaki et al.
2008
; Wright et al.
2002
) and MADM methods (Gero et al.
1983
; Jaggs and Palmar
2000
; Flourentzou and Roulet
2002
; Rey
2004
; Kaklauskas et al.
2006
; Kaklauskas
and Zavadskas
2007
; Sliogeriene et al.
2009
; Alanne et al.
2007
; Diakaki et al.
2010
) are widely used in analyses of energy-efficient built environment.
MODM studies decision problems in which the decision space is continuous. A
typical example is mathematical programming problems with multiple objective
functions. The first reference to this problem is also known as the ''vector-
maximum'' problem (Triantaphyllou et al.
1998
). The alternatives in this class of
problems are not explicitly known, they are either infinite and not countable or
typically very large if countable. MODM methods sometimes using interactive
computer methods to involve the analyst explicitly in the process also directly seek
