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Natasa DjuricSINTEF Energy Research, Department of Energy Processes, NO-7465
Trondheim, Norway, natasa.djuric@sintef.no | Vojislav NovakovicNorwegian University of Science and Technology (NTNU), Department of
Energy and Process Engineering, NO-7491 Trondheim, Norway, vojislav.novakovic@ntnu.no
| Frode FrydenlundSINTEF Energy Research, Department of Energy Processes, NO-7465
Trondheim, Norway, frode.frydenlund@sintef.no |
In order to
perform a proper building energy labeling, it is important to document and
measure building energy use. Documentation, measurements, and quality control of
building energy performance would increase in importance as new concepts are implemented and
further step towards zero emission building are taken. Lifetime commissioning (LTC) has
been recognized as a quality control tool for building energy performance
through the entire system lifetime [1-3].The relationship between the
standards developed under the European Energy Performance of Buildings Directive (EPBD) umbrella and LTC is
explained in [4].
Measurement
and monitoring of the building energy performance can be challenging and
expensive depending on the monitoring platform, the monitoring platform ownership,
the age of the building, when the building monitoring platform was installed,
etc. Due to the above mentioned importance of the energy measurement, the
research work on building performance energy monitoring has initiated different
activities, Annex 47, Cost-effective Commissioning for Existing and Low Energy
Buildings [5] and Annex 53, Total Energy
Use in Buildings: Analysis and Evaluation Methods [6].
The aim of this
article is to show the total electricity use in two low energy office buildings
in Norway. A few years of energy monitoring data are presented. The research
work on these low energy buildings has been reported to Annex 53.
Detailed
data have been collected for two low energy office buildings in Norway through the
research project Lifetime commissioning for energy efficient
operation of buildings [7]. The detailed building
data were collected by using LTC procedures, which are explained in [4]. These two analyzed buildings are located
in Trondheim and Stavanger. Both buildings are role model buildings for the
Norwegian Energy Efficiency Agency [8].
The first building is a low energy office building in
Trondheim, Norway, with a heated area of 16 200 m². The design outdoor temperature is -19°C,
while the average annual outdoor temperature is 6°C. The building has been in
use since September 2009. Since then the number of occupants has been
increasing. Eight variable air volume (VAV) systems were installed
in the building with a maximum air volume from 12 500 m³/h to 22 000 m³/h.
Specific air flow rate was 8.9 m³/h/m². A brief overview of the installed VAV systems
is given in Table 1. The
overview gives the performance of the installed ventilation systems, which includes
air flow rate, fan power, and specific fan power of the entire ventilation
system (SPFe).
Table 1. VAV systems in the office building
in Trondheim.
System ID | Air flow rate | Fan power | SFPe (kW/(m³/s) | ||
Supply fan | Exhaust fan | Supply fan | Exhaust fan | ||
36.01 | 22,000 | 22,000 | 7.47 | 6.89 | 2.17 |
36.02 | 22,000 | 22,000 | 7.47 | 6.89 | 2.17 |
36.03 | 20,000 | 20,000 | 6.30 | 5.83 | 2.01 |
36.04 | 20,000 | 20,000 | 6.30 | 5.83 | 2.01 |
36.05 | 15,000 | 15,000 | 4.68 | 4.28 | 1.97 |
36.06 | 18,000 | 18,000 | 6.50 | 5.88 | 2.30 |
36.07 | 14,500 | 14,500 | 5.07 | 4.53 | 2.21 |
36.08 | 12,500 | 12,500 | 3.97 | 3.52 | 1.99 |
All the ventilation systems in Table 1
were VAV systems with modern Static Pressure Reset Demand Control Ventilation
(SPR-DCV) that is frequently called optimized
VAV [9]. In the low energy office
building in Trondheim heating was provided by radiators, while cooling of the IT
rooms was provided by fan-coils. The heating energy for ventilation, space
heating, and domestic hot water was supplied by district heating and heat
pumps. There were two heat pumps installed. The first heat pump was a
reversible heat pump providing part of the heating energy for ventilation in
the winter period, while in the summer period the evaporator of the heat pump
provided cooling for ventilation. This heat pump is a water/air heat pump and it
supplies eight heating/cooling coils in the air handling units given in Table 1. Depending on the evaporation and condensation temperatures, maximum
heating capacity of the condenser can be 550 kW, and maximum compressor
power 150 kW. This heat pump has three compressors, which are step-wise
controlled. The second heat pump was a cooling plant which provided cooling for
IT rooms, while the condenser heat was utilized to support heating. This
cooling plant has a maximum heating capacity of the condenser of 260 kW, maximum
compressor power of 60 kW, and maximum evaporator load of approximately
200 kW depending on the evaporation and condensation temperatures.
Detailed information of the first case building can be found in [10].
The second case
building is located in Stavanger, Norway, where the design outdoor temperature
is -9°C, while the average annual outdoor temperature is 7.5°C. This building
has been in use since June 2008 and is rented as an office building. The heated
area of the building is 19 623 m² and it was designed for 1 200
occupants. Currently, there are about 1 000 occupants. The ventilation
system consists of three variable air ventilation systems, where the maximum
air volume is 90 000 m³/h for two ventilation systems and 75 000 m³/h
for the third system. A brief overview of the installed ventilation system
is given in Table 2. Specific air flow
rate was 12.9 m³/h/m².
Table 2. Ventilation systems in the office
building in Stavanger.
Ventilation system | Air flow rate | Fan power | SFPe (kW/(m³/s) | ||
Supply fan | Exhaust fan | Supply fan | Exhaust fan | ||
360.010 | 90,000 | 90,000 | 38.8 | 41.6 | 4.64 |
360.011 | 75,000 | 75,000 | 32.6 | 32.7 | 4.69 |
360.012 | 90,000 | 90,000 | 38.8 | 41.6 | 4.64 |
The three VAV
systems operate with constant air pressure. The higher SFPe in Table 2 could be explained by an additional pressure drop in double façade. In
the second case building, the fresh air was supplied to offices and then
extracted via a central atrium. The extracted air was used for heat recovery in
ventilation and finally extracted through double façade. Heating is provided by
radiators and ceiling panels, while cooling is provided by fan-coils. Heating
energy for ventilation, space heating, and domestic hot water is supplied by
district heating and supported by condenser heat. Cooling energy is supplied by
two cooling plants. Heat realized from the cooling plant condensers is used as
additional energy for heating. This way, the cooling devices are at the same
time heat pumps. The installed heat pumps are frequency controlled. The
installed cooling capacity of one heat pump is 200 – 600 kW and the compressor
power 50 – 130 kW, while the cooling capacity of the second heat pump is
420 – 1200 kW and the compressor power 120 – 300 kW. Detailed
information of the second case building can be found in [11].
The first
case building is equipped with a high number of energy meters, which include
measurement of electricity for light, appliances, ventilation, etc. The second
case building has a lower number of energy meters, but a higher data quality of
the energy measurements. Before the hourly profiles of electricity use are
presented, the issues in measurements and data logging are explained.
The first
case building located in Trondheim is equipped with 74 energy meters, where 66
meters are for electricity and eight meters are for heating and cooling
measurements. The technical platform for the energy measurement was separated
from the building energy management system (BEMS). Therefore, there is no
history of the energy measurements in the BEMS of the first case building. These
energy measurements were transferred to an energy savings company database. The
use of two different technical platforms for building management and energy
monitoring, where energy consumption had not been logged in the BEMS, could be
an issue. This issue can be explained with poor functional integration, because
the labeling of the system and components in the energy service company was slightly
different than in BEMS and it might be that what was shown as the compressor
electricity use was that of another equipment. Specifically, it can be
difficult to estimate energy use of equipment that has its own control unit.
Such equipment can be heat pumps, cooling plants, and air handling units. Even
thought equipment manufacturers guarantee good data transfer from the equipment
control unit to the BEMS, there can be many problems in the data transfer. Challenges
in heat pump performance estimation are reported in [12], while other issues and data reliability are explained in [13].
The hourly
profile of the electricity use in the office building in Stavanger for one week
in September 2009 is shown in Figure 1. In Figure 1, electricity use profiles are summed
up. The electricity use was independent of the outdoor temperature, but instead
determined by the building users. In average over the year, hourly electricity
profiles were varying from 180 kW during non-occupied periods to 550 kW
during occupied periods. By comparing hourly electricity use profiles over several
years, it was found that the hourly electricity profiles were quite similar as
in Figure 1.
Figure 1. Hourly profiles of electricity use
in the office building in Stavanger.
In Figure 1 it is possible to notice that both fans and cooling plant contribution
to the total electricity use was low. Actually, electricity use was dominated
by the use of appliances such as PCs. The reason for the low energy use of the
cooling plant was that the heat pumps were oversized (for the current purpose)
as explained in [14]. Most of the year, one
heat pump was working and the second heat was shut down. For example, in 2009
both heat pumps were in use only 116 hours. In August 2011, most of the PCs in
the building were replaced by laptops and the operation time of the ventilation
system was decreased by one hour. These measures resulted in decreasing the hourly
electricity profiles to approximately 160 kW during non-occupied periods and
to 460 kW during occupied periods. Results of these measures on the total
electricity use will be shown in the next Section.
The hourly
profile of the electricity use in the office building in Trondheim for one week
in November 2010 is shown in Figure 2. The electricity use in Figure 2was summed up
by the purpose of the electricity use.
Figure 2. Hourly profiles of electricity use
in the office building in Trondheim.
In Figure 2El. substation implied electricity for circulation pumps and
additional devices necessary for the substation operation. In the case of the
office building in Trondheim, electricity use was also independent of the
outdoor temperature, but instead determined by the building users. In average
over the year, hourly electricity profiles were varying from 70 kW during
non-occupied periods to 200 kW during occupied periods. The electricity
consumption of the fans was determined by the building users as it is possible
to notice in Figure 2. The VAV systems were controlled by
presence sensors, meaning the fans were operating only when there were users in
the building. The electricity consumption of the heat pump and chiller was
quite constant as shown in Figure 2. The reason for this was that the
heat pump and chiller were oversized and the compressors were
in operation all the time at the lowest step and thereby using constant power.
In Figure 2, it is
possible to notice that appliances,
lighting, chiller, heat pump, and IT server contributed mostly to the hourly
profiles during non-occupied periods as well as during occupied periods.
The total
electricity use for the office buildings in Trondheim and Stavanger are shown
in Figure 3 and Figure 5, respectively. Recall that the number of occupants increased in the
office building in Trondheim, as shown in Figure 4.
Figure 3. Total electricity use for the
office building in Trondheim.
Figure 4. Number of occupants in the office
building in Trondheim.
By
comparing the results in Figure 3and Figure 4 it is possible to notice that the
total electricity use increased with an increase in the number of occupants.
Further, in Figure 3, it is noticeable that appliances,
light, cooling plants, and electricity for the IT server contributed the most
to the total electricity use. This could also be assumed based on the hourly
profiles in Figure 2, because appliances, light, cooling
plants, and IT server were dominating in the hourly profiles. Finally, specific
electricity use for the office building in Trondheim per m² is given in Table 3. The results in Table 3 are sorted based on the highest
specific use.
Table 3. Specific electricity use in the
office building in Trondheim.
Purpose | Appliances | Light | Cooling plants | IT server | Fans | Substation | Elevators | El.cars |
Specific use (kWh/year/m²) | 15.1 | 14.3 | 8.4 | 6.4 | 6.0 | 1.0 | 0.3 | 0.1 |
The total
electricity use over three years for the office building in Stavanger is shown
in Figure 5. Two energy saving measures were
implemented in this building since August 2011, as mentioned before. These
measures decreased the hourly electricity profiles and resulted in a 30 MWh
decrease in the total monthly electricity use.
Figure 5. Total electricity use for the
office building in Stavanger.
The article
presented electricity use in two low energy office buildings in Norway. Appliances,
light, cooling plants, and IT server seemed to dominate to the total
electricity use of the low energy buildings. The reasons for the relatively
high electricity use of the cooling plant were oversizing plant and the choice
of plant unsuitable for its current purpose. Results for the office building in
Trondheim showed that the optimized
VAV system resulted in an electricity use for the fans of 6 kWh/year/m².Results on the electricity use in
the office building in Stavanger showed that simple energy efficiency measures
gave a definite decrease in the total electricity use. The results of our
research on LTC showed the importance of proper energy measurements to enable
proper decision making, energy labeling, and proof of concepts.
This work
was financially supported by the Research Council of Norway and the other members of the project: Life-Time
Commissioning for Energy Efficient Operation of Buildings (project number
178450/s30). The
authors are thankful to Lars O. Nord, NTNU, for English proofreading.
[7] Lifetime
commissioning for energy efficient operation of buildings, http://www.sintef.no/pfk.
[8] Enova
SF, http://www.enova.no/.
[11] N.
Djuric, Lifetime commissioining at Vassbotnen 23 i Stavanger, Technical report,
TR A7094 SINTEF
Energy Research, 2011.
[13] N.
Djuric, V. Novakovic, Identifying important variables of energy use in low
energy office building by using multivariate analysis, Energy and Buildings, doi:10.1016/j.enbuild.2011.10.031
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