Building policies in Europe

This page is a knowledge crystal of subtype variable. The page identifier is Op_en4068
Moderator:Jouni (see all)
Citation of this page: Ulla Haverinen-Shaughnessy, Jouni T. Tuomisto: Building policies in Europe. Opasnet 2011. [1]. Accessed 21 Nov 2024.
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Scope

What are potential building policies in Europe (EU-30) during the period 2010-2050 such that

they maintain or improve the building infrastructure,
they help to achieve the climate change mitigation targets,
they are economically feasible?

Definition

Data

Data come mainly from the Common Case Study. There are two main approaches within the study: the main approach looks at technical issues such as insulation and renovation of buildings or increase in biomass burning; the alternative approach looks also behavioural changes (such as room temperature decreases) and urban infrastructure (increasing urban density). The main approach is used in the assessments of the Common Case Study, but for completion, both are described here.

Dependencies

European climate scenarios.
Population of Europe by Country (includes migration).

Unit

-

Formula

Main approach

At the moment, only a part of the Common Case Study is implemented in Opasnet. Therefore, this variable actually only affects heande:HI:Air exchange rate for European residences, and the building policies are included in the formula of that variable.

Alternative approach

+ Show code - Hide code

 a <- c('EPBD 2002', 'EPBD 2008', 'More renewables', 'Behavioural changes', 'More efficient urban structures')
 b <- c('European BAU', 'European policy option')
 b <- paste( c(rep(b[1],5),rep(b[2],5)),'|', a)
 c <- c(rep(0,25), rep(1,25))
 dim(c) <- c(10,5)
 c <- rep( c(0,0,0,0,0,1,1,1,1,1),5)
 dim(c) <- c(10,5)
 for (i in 2:5) {c[i,i] <- 1}
 for (i in 2:5) {c[i+5,i] <- 0}
 rownames(c) <- b
 colnames(c) <- a
 n <- 5000
 d <- round(runif(n, 0.5, 10.5))
 c <- c[d,2:5]
 d <- 1:(5*n)
 dim(d) <- c(n,5)
 d[,1] <- 1:n
 d[,2:5] <- c
 colnames(d) <- c('obs', a[2:5])
 e <- data.frame(obs= rep(d[,1],4), policy= 0, Freq=0)
 for(i in 1:(4*n)){e[i,2] <- colnames(c)[round(i/n+0.49999)]}
 for(i in 1:(4*n)){e[i,3] <- c[i-round(i/n-0.50001)*n, round(i/n+0.49999)]}
 e

Result

Note!: The current (as of January 2011) result in Opasnet Base is that of the alternative approach. The result of the main approach is only presented here in a tabular form.

Main approach

**Building policies in Europe and their usage for different years in the Common Case Study.**
Policy	Year
	2010	2020	2030	2050
BAU: business as usual contains the implementation of already made decisions but no further actions	Assessed	Assessed	Assessed	Assessed
ALL: all such policies are implemented that are required to reduce the total greenhouse gas emissions by 70 % by 2050	Not assessed	Assessed	Assessed	Assessed
INSULATION: only building insulation policies from ALL are implemented (ALL also contains policies to increase biomass use, but these are not implemented here);	Not assessed	Not assessed	Not assessed	Assessed
RENOVATION: same as ALL except that ventilation is not improved in 50 % of those buildings that are insulated up to tighter standards (in other scenarios, insulation is always combined with improved ventilation).	Not assessed	Not assessed	Not assessed	Assessed

Alternative approach

**Combinations on building policies in Europe**
Policy	European BAU	European policy options
	European climate scenario
EPBD 2002	None of the policies below	All of the policies below
EPBD 2008 (proposal for recast)	None but this	All but this
More renewables in heating / cooling	None but this	All but this
Behavioral changes	None but this	All but this
More efficient urban structures	None but this	All but this

For an explanation about the logic of the policy combinations, see Road transport policies in Europe#Result.

**Description of policies on building policy options in Europe**
Policy	Reference (BAU)	Policy option
EPBD 2008 (proposal for recast)	No additional actions. Buildings represent approximately 40% of energy consumption and the potential energy saving is more than 20%.	Increased insulation of buildings and other recast actions. More energy efficient buildings provide better living conditions and save money to all citizens. The estimated impact of the recast is energy savings of 60-80 Mtoe in 2020 or the total EU energy consumption will be reduced by 5-6%.
Increased use of renewable energy sources	No additional actions.	Increased percentages (?) of heating / cooling is done by 1) wood burning and 2) heat pumps 3) solar / wind.
Behavioral changes	No additional actions.	On-demand heating, cooling and ventilation (based on occupancy / activities). Additional possible policies: heating, cooling and ventilation demands reduced, wider (unconditioned) indoor temperature ranges tolerated (thermal comfort based optimum is 18-24 C); maintenance of the natural defence systems promoted (inc. rehydration, fitness, acclimatization and reduction of excess weight).
Sustainable urban planning / more efficient urban structures	No additional actions.	Increasing land-use densities; larger percentage (?) of population living in cities (currently some 80% in Europe). Additional policies that may run parallel: Promoting higher density mixed-use development; Preventing urban sprawl; Increase in amount of waste recycled; Reduction in amount of contaminated land in the city; Reduced pesticide use in the city; Improved natural water quality; Increase in green purchasing; Improvements to existing green space (parks, woods); Increase in number of nature conservation areas in the city; Reduction in energy used by the city; Improved public safety; Sustainable transport; Less air pollution and noise; Increase in proportion of citizens satisfied with the environment in the city.

Downstream variables

Keywords

Building stock, decision making, energy, ventilation, neighbourhood.

References