Session 1 - Montefiore
Session 1 - Montefiore
Session 1 - Montefiore
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esidential buildings, a traditional masonry house and a steel frame<br />
house, is carried out in three different climates: Belgium, Portugal<br />
and Sweden. A different life cycle scenario is taken into account for<br />
each location, in which the monthly temperatures, buildings<br />
insulation thicknesses, energy mix, heating and cooling systems are<br />
defined. This study allows us to compare the influence of several<br />
parameters on the LCA of residential buildings: the climate related<br />
to the temperatures and the buildings insulation thicknesses, the<br />
use of different materials, the energy mix and the heating/cooling<br />
systems.<br />
The influence of the energy mix of different countries on their<br />
GHG emissions is a recent research subject found in the literature,<br />
that it is generally studied at national scale, working on demandprofile<br />
changes, varying electricity supply and economic issues<br />
[38e42]. These studies highlight how a shift in the energy mix<br />
toward renewable sources would yield significant reductions in per<br />
capita emissions at the national scale, even without reducing<br />
energy consumptions, but do not give solutions at the local scale. At<br />
the local scale [25], studied the life cycle primary energy analysis of<br />
residential buildings (including low energy buildings) and<br />
concluded that the operational primary energy varied considerable<br />
depending on energy supply systems (cogenerated district heating,<br />
heat pumps, electric space heating, etc.) for all the buildings analysed.<br />
The choice of energy supply system had a greater effect on<br />
the primary energy use than the energy efficiency house envelope<br />
measures. The CO2 emissions from the building operation heavily<br />
depend on the carbon content of the fuel used in the supply<br />
systems.<br />
Studying the influence of the energetic performance of<br />
a building and the influence of occupants’ behaviours on the<br />
environmental impacts of this building, Blom et al. [23] developed<br />
a sensitivity analysis on different electricity mixes. Although each<br />
statement depends greatly on the location and the type of building<br />
that is considered, the conclusions of this study are that:<br />
The fraction of the environmental impact due to electricity<br />
consumption is higher than the proportion of electricity in the<br />
total energy content for all the studied scenarios. Therefore, the<br />
electricity mix used in the analysis widely influences the LCA of<br />
the building.<br />
A comparison between the Dutch electricity mix and an<br />
alternative electricity mix, using 35% renewable sources, based<br />
on European policy goals for 2020, shows that the 35%<br />
renewable sources scenario will not significantly reduce all the<br />
environmental impacts and will result in a maximum reduction<br />
of 14% in the Global warming potential.<br />
All the renewable energies have not the same environmental<br />
impact. The type of sustainable energy sources used to produce<br />
electricity greatly influences the environmental impact of the<br />
energy mix.<br />
While, in the present paper, a basic tool is implemented and<br />
verified against an already validated software, the companion<br />
paper studies the influence of the energy mix on the environmental<br />
impacts of specific houses, at different LCA stages, allowing to<br />
optimize their design. It also shows the complex interactions<br />
between building conception, climate, energy mix, materials and<br />
energy systems into the building.<br />
2. LCA: the basic tool<br />
2.1. Principles, definitions and tools<br />
The present assessment follows the recommendations of the ISO<br />
Standards 14000 series [43] and was made on the basis of a excel<br />
B. Rossi et al. / Building and Environment 51 (2012) 395e401 397<br />
Fig. 1. Operational and embodied energy for the two houses and the two methods.<br />
sheet developed by Pr. Mauritz Glaumann from the University of<br />
Gävle. Amongst other things, the tool was modified to take into<br />
account the climate over one year and more complex designs. For<br />
example, the energy demand for the space heating evaluation takes<br />
into account a scenario including business days and holidays, night<br />
and day demanded comfort temperatures, internal heat gains and<br />
solar passive heating. Two main impacts are calculated: (1) the<br />
Embodied energy/carbon and (2) the Operational energy/carbon<br />
(B6 and B7 of [36]).<br />
Embodied energy is an important concept inasmuch as it allows<br />
energy efficiency, together with operational energy [35]. Embodied<br />
energy represents the energy used for producing building materials<br />
(from the extraction of the raw materials to the manufacture<br />
of the final product, including transportation) and their implementations<br />
in the building. The total embodied energy comprises<br />
a direct component (the energy consumed directly at each phase)<br />
and an indirect component (the energy required indirectly to<br />
support the main processes which is less obvious and more difficult<br />
to measure) [24,31]. Operational energy represents the energy<br />
used in operating the building, that is to say the energy used for<br />
space heating and cooling, hot water, lighting, cooking and others<br />
appliances and equipment operation. Similarly, Embodied carbon<br />
and Operational carbon respectively represent the equivalent CO2<br />
emissions due to the extraction, production and transportation of<br />
the material and the construction of the buildings and the equivalent<br />
CO2 emissions linked to the operation of the building during<br />
its life time.<br />
The procedures and assumptions used herein to evaluate<br />
Embodied energy/carbon and Operational energy/carbon are presented<br />
in Sections 2.2 and 2.3.<br />
Fig. 2. Operational and embodied carbon for the two houses and the two methods.