Abstract
In order to meet EU objective of nearly zero-energy
building, mismatch problem is an inevitable side effect,
which requires suitable criteria to quantitatively
evaluate the problem. There are two commonly used basic
indices for matching analysis: on-site energy fraction
(OEF) and on-site energy matching (OEM). OEF indicates
the proportion of the load covered by the on-site
generated energy, while OEM indicates the proportion of
the on-site generated energy that is used in the load
rather than being dumped or exported. However, with rapid
development of energy technology, matching problems
become more complicated when a system involves different
energy forms, energy conversions, storages, and hybrid
grid connections. In order to meet these challenges, six
matching indices are defined based on the extension of
the two basic indices. Four examples at one time-step are
presented for the usage of these extended indices'
equations. Furthermore, in order to evaluate the
applicability of these extended indices in a dynamic
simulation process, the hourly and daily matching
situations of one Finnish single-family house with hybrid
grid connections are simulated for one summer's day. It
shows that the extended matching indices are powerful
tools for assessing the matching situation of
increasingly complicated on-site energy systems.
| Original language | English |
|---|---|
| Pages (from-to) | 423-438 |
| Journal | Energy and Buildings |
| Volume | 64 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- export of renewable
- hybrid grid
- matching analysis
- matching indices
- mismatch
- renewable assited building
