Lisø PhD Dissertation Manuscript - NTNU
Lisø PhD Dissertation Manuscript - NTNU
Lisø PhD Dissertation Manuscript - NTNU
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Building economics of climate change<br />
For simplicity, we include maintenance in the conversion<br />
cost function whenever a conversion takes place.<br />
s s<br />
s<br />
V ( M) = v ( W, z ) −c( W,<br />
z ) −m<br />
3<br />
d 3<br />
Mi<br />
+ T all s∈S 2<br />
d<br />
2 2 2 2 2 2<br />
(9b)<br />
V 2s (T)=T 2s all s ∈ S Ti (9c)<br />
The V 2 -functions above are a kind of indirect utility<br />
functions and their values depend on the z and W values<br />
that are chosen in period 1. The choice of action in<br />
period 2 can be seen as a three-step procedure. First,<br />
the state of period 2 is observed. Next, the optimal effort<br />
under the M-strategy and the conversion activity under<br />
the C-strategy are calculated. In the last step, the value<br />
of the building under each of the three strategies are<br />
compared, and the strategy yielding the highest value is<br />
chosen.<br />
Similarly, the owner has three different possible<br />
actions in period 1. The object function for period 1<br />
choice will be somewhat more complex than the object<br />
functions for period 2. There are two reasons for this:<br />
(1) When the choices of period 1 are made, the<br />
future impact of climate change on building<br />
enclosure performance is not known. The value<br />
of the building under each of the possible<br />
actions in period 2 is affected by the choices of<br />
period 1.<br />
(2) The choices of period 1 will partly determine<br />
which actions are optimal in period 2. Hence the<br />
sets S Mi , S Ti and S Ci are affected by choices made<br />
in period 1.<br />
The period 1 value of the building under each of the<br />
strategies can be written as Equations 10a–c. The value<br />
of the building (NV 1 ) in period 1 is given in Equation<br />
10d.<br />
NV( M) = v ( Wˆ, z ) - c ( Wˆ,z)<br />
−m<br />
+ p dV ( C)<br />
1 1 1 1 1<br />
Â<br />
2s 2 2s<br />
CM<br />
s∈S 2s 2 2s 2s 2 2s<br />
 Â<br />
+ p dV ( M) + p dT (10a)<br />
MM TM<br />
s∈S s∈S 1 1 1 1<br />
NV( C) = v ( W, z ) −c( W, z ) −C(<br />
Wˆ, W)<br />
+<br />
2s 2 2s p dV ( C) +<br />
2s 2 2s<br />
p dV ( M)<br />
+<br />
 Â<br />
CC MC<br />
s∈S s∈S Â<br />
2s 2 2s<br />
p dT<br />
(10b)<br />
TC<br />
s∈S NV(T) = T 1 (10c)<br />
NV 1 = max(NV(T), NV(C), NV(M)) (10d)<br />
771<br />
Equations 9a–10c constitute a complex dynamic<br />
stochastic optimization problem. Instead of spelling out<br />
complete and general solutions to this optimization<br />
we will characterize some important properties of the<br />
solution.<br />
The paper is primarily addressing the uncertainty of<br />
future climate affects and the behaviour of owners of<br />
buildings. For this reason, the analysis in the remaining<br />
parts will focus on the choices made in the first period of<br />
the model. Period 2 choices are treated as they are<br />
nested within the period 1 choices.<br />
The maintenance strategy<br />
Previously in the paper we analysed the choice of effort<br />
(m) in the case where no conversions and no termination<br />
took place in the first two periods. The conclusion<br />
from this analysis is altered when taking into consideration<br />
that the owner knows that for some climate<br />
change scenarios she will terminate the building and<br />
for other scenarios, she will choose to rehabilitate or<br />
convert the building.<br />
The first order condition for the choice of effort in<br />
this more general case will be:<br />
1<br />
∂<br />
( − ) (<br />
1<br />
∂<br />
∂ ∂<br />
∂<br />
+<br />
−<br />
∂ ∂<br />
∂<br />
∂<br />
v c z<br />
∂<br />
z z m ∂ ∂<br />
d<br />
1 1<br />
2s<br />
2s<br />
1<br />
2 2sv<br />
c z<br />
1 1 Â p ) a<br />
2s<br />
2s<br />
1<br />
z z m<br />
= 1<br />
s∈S M<br />
s<br />
(11)<br />
As long as the sets S C and S T are non-empty, the<br />
expected marginal return on period 1 effort, for any<br />
level of m 1 , is lower than it is when conversions and<br />
‘early scrapping’ is not a part of the action set. Hence, in<br />
the presence of climate uncertainty a lower level of<br />
effort is put into the maintenance of a building.<br />
Furthermore, the probability of scrapping the building<br />
or converting it in period 2 will be higher if a given<br />
climate change scenario was anticipated than if it comes<br />
as a surprise. If the climate change scenario is not anticipated,<br />
the effort in period 1 will be chosen without<br />
taking the possibility of scrapping or conversion in order<br />
to adapt to a changed climate into consideration. Consequently,<br />
a higher level of effort is chosen, and the state<br />
of the building, measured by z, will be better than if<br />
effort is chosen according to Equation 11. This will<br />
increase the value of V 2 (M) for any s. As a result, for<br />
some s where V 2 (C) or V 2 (T) gives the maximum of<br />
(V 2 (C), V 2 (T), V 2 (M)) when m 1 is chosen according to<br />
Equation 11, V 2 (M) will give the maximum when the<br />
owner did not take climate change into consideration.<br />
In order to enhance the understanding of the consequences<br />
of choosing the M-strategy in period 1,<br />
Equation 10a is rewritten.