BUG: Cannot `shift` Intervals that are not `closed='right'` (the default)
### Pandas version checks

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [X] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/getting_started/install.html#installing-the-development-version-of-pandas) of pandas.


### Reproducible Example

```python
import pandas as pd
pd.Series([pd.Interval(1, 2, closed='left'), pd.Interval(2, 3, closed='left')]).shift(1)
```


### Issue Description

[This line](https://github.com/pandas-dev/pandas/blob/1c986d6213904fd7d9acc5622dc91d029d3f1218/pandas/core/arrays/interval.py#L1058) in `shift` creates an empty `IntervalArray` without specifying which side the intervals are closed on. When that array and the one being shifted get concatenated, the following exception is raised:

```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/generic.py", line 11228, in shift
    new_data = self._mgr.shift(periods=periods, fill_value=fill_value)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/internals/base.py", line 312, in shift
    return self.apply_with_block("shift", periods=periods, fill_value=fill_value)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/internals/managers.py", line 363, in apply
    applied = getattr(b, f)(**kwargs)
              ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/internals/blocks.py", line 2020, in shift
    new_values = self.values.T.shift(periods=periods, fill_value=fill_value).T
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/arrays/interval.py", line 1097, in shift
    return self._concat_same_type([a, b])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/arrays/interval.py", line 1045, in _concat_same_type
    raise ValueError("Intervals must all be closed on the same side.")
ValueError: Intervals must all be closed on the same side.
```

### Expected Behavior

The following `pd.Series[Interval]` should be returned, closed on the same side as the original Series

```
0           NaN
1    [1.0, 2.0)
dtype: interval
```

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit                : 0691c5cf90477d3503834d983f69350f250a6ff7
python                : 3.11.5
python-bits           : 64
OS                    : Linux
OS-release            : 6.8.0-48-generic
Version               : #48~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Oct  7 11:24:13 UTC 2
machine               : x86_64
processor             : x86_64
byteorder             : little
LC_ALL                : None
LANG                  : en_US.UTF-8
LOCALE                : en_US.UTF-8

pandas                : 2.2.3
numpy                 : 2.1.3
pytz                  : 2024.2
dateutil              : 2.9.0.post0
pip                   : 24.3.1
Cython                : None
sphinx                : None
IPython               : None
adbc-driver-postgresql: None
adbc-driver-sqlite    : None
bs4                   : 4.12.3
blosc                 : None
bottleneck            : None
dataframe-api-compat  : None
fastparquet           : None
fsspec                : None
html5lib              : None
hypothesis            : None
gcsfs                 : None
jinja2                : 3.1.4
lxml.etree            : None
matplotlib            : 3.9.2
numba                 : None
numexpr               : None
odfpy                 : None
openpyxl              : 3.1.5
pandas_gbq            : None
psycopg2              : None
pymysql               : None
pyarrow               : None
pyreadstat            : None
pytest                : 8.3.3
python-calamine       : None
pyxlsb                : None
s3fs                  : None
scipy                 : 1.14.1
sqlalchemy            : None
tables                : None
tabulate              : None
xarray                : None
xlrd                  : None
xlsxwriter            : None
zstandard             : None
tzdata                : 2024.2
qtpy                  : None
pyqt5                 : None


</details>