Local Versus National:
Designing Supply Systems For Individual
Net Zero Energy Buildings With Flexible
Electricity Prices
Author(s)
C. Milan, M. P. Nielsen & C. Bojesen
Abstract
The building sector has obtained increased awareness throughout the last
decades due to its notable contribution to global greenhouse gas (GHG)
emissions. One approach to decrease these emissions is the concept of net zero
energy buildings (Net ZEB), which produce as much energy out of renewable
sources as they consume through public grid connections on an annual balance.
A global design solution for these buildings does not exist, since the energy
resource availability is different everywhere. In earlier publications a
methodology was presented which allows for the cost optimal design of
individual energy supply systems based on on-site weather and building
conditions, as well as considering the expected energy consumption profile.
However, local planning processes are problematic if they do not take regional or
national impacts into account. Given the grid connection, the local building
solution also has an impact on a national scale by exchanging electricity.
Therefore it is important to implement respective grid loads into the planning
process in order to avoid technology choices, which might counteract grid
stability or cost inefficiencies at other sites. The aim of this paper is to adapt the
earlier proposed methodology by integrating flexible national electricity prices
and thus taking account for the aforementioned effects. The methodology is
applied in a case study for a single family house under Danish conditions. The
results show that the system configuration might not necessarily be changed but
an adaptation in the mode of operation is important and could even lead to cost
reductions when allowing for flexible tariffs.
Keywords: net zero energy buildings, zero energy buildings, cost optimization,
renewable energies, supply system design, MILP, linear programming.
Keywords
net zero energy buildings, zero energy buildings, cost optimization,
renewable energies, supply system design, MILP, linear programming.
Related Book
Other papers in this volume
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