Analysis of Energy Consumption in the Building as the Basis for Development of the modular model Predictive Control System.
Crnokic, Boris ; Ljesic, Gordan ; Stojkic, Zeljko 等
Analysis of Energy Consumption in the Building as the Basis for Development of the modular model Predictive Control System.
1. Introduction
Energy efficiency is a very important aspect of the development of
modern society. Due to the non-optimal design of buildings, imperfect
heating and cooling systems or insufficiently efficient energy
management systems, energy consumption in practice is higher than the
building itself demands. Approximately 40% of world energy consumption
is caused by the operation of various systems in buildings, which
includes heating, cooling and air conditioning systems. [1] Conventional
energy management systems (EMS) did not give the desired results in
terms of energy savings. Model predictive control (MPC) has been
recognized as one of the essential solutions to achieve considerable
energy savings in buildings. [2] In order to address the problem of
energy efficiency, more and more scientific and professional projects
are being launched all over the world, in the EU, including separate
regions such as the Danube region. One of those projects is also
"Smart Building--Smart Grid--Smart City (3 Smart)" project.
Project is co-funded by the European Union through Interreg Danube
Transnational Programme, and partners from the following countries are
involved: Croatia, Slovenia, Austria, Hungary, Bosnia and Herzegovina
and Serbia.
Current tendencies in the Danube Region to integrate
energy-efficiency measures and renewable energy are not followed by
their adequate interactions to enable optimal operation of the building
as a whole. Distribution system operators are reluctant in allowing
renewable energy in the grid as it engages investments into the grid and
increases costs for its correct and secure operation. The main objective
of the 3Smart (Fig 1.) project is to provide a technological and
legislative setup for cross-spanning energy management of buildings,
grids and major city infrastructures in the Danube Region. It will
provide optimal economical value to energy-efficiency and renewable
energy investment in the building and at the same time it will result in
optimized costs on the grid side whereas grid and buildings will also
interact through exchanging energy and prices data. This is expected to
motivate installation of distributed storages in both buildings and
grids for improving energy security in the Danube Region. [3]
This paper presents one part of the project 3Smart, the
thermodynamic model of the EPHZHB business building in Tomislavgrad
(Bosnia and Herzegovina) which was used as one of the pilot buildings.
The model is created in IDA ICE professional building modelling software
and its performance verified against energy consumption data from energy
bills. Building is consisted of one floor + ground floor and roof. The
building is equipped with an advanced central control unit for
heating/cooling, which enables the data acquisition from the building
zone side to a central database. Based on these, the control commands
for individual fan coils will be computed and transferred back through
the existing communication network. This will result in a fully
controllable building and in such way enable the zone-level smart
predictive control for the entire building.
2. Building architecture
The building that is being considered in this paper is a pilot
building of a project partner EPHZHB (JP Elektroprivreda Hrvatske
Zajednice Herceg Bosne). Construction of the building in Tomislavgrad
(Fig. 2) was finished in 2013. It has a useful area of 973,85 [m.sup.2]
and is located in the industrial zone of "Vucilov brig". The
building has a quadratic shape with ground floor dimensions 23,45 x
23,45 [m] which enables a rational arrangement of office space at the
circumference of the building and the central position of the entrance
hall and the meeting room. All offices have same illumination, but
because of simple construction quick and easy modifications are possible
if necessary. Illumination is the same in all working areas and comes
laterally, and the corridors are illuminated through glazed door walls.
Meeting rooms are illuminated and ventilated indirectly across the
hallway and lobby, and these two problems are solved through special
treatment in installation projects. In the central area are also
facilities that do not require lighting (sanitary block, kitchen,
elevator) so all the useful space on the facade is used for office
lighting. In the entrance hall are vertical communications, staircase
and elevator. [4]
3. Building construction and materials
The technical-constructive solution consists of a proper raster of
supporting walls with reinforced concrete horizontal and vertical
cerclages, and if necessary with poles and beams. The structure between
two floors is made of reinforced concrete slab (MB 30) with a thickness
of 20 cm. The foundations were made of reinforced concrete slabs (MB 30)
with a thickness of 60 cm. The walls are made of bricks with a thickness
of 25 cm with thermal insulating facade system with a thickness of 15
cm. The roof structure consists of a wooden substructure on which a high
quality panel is mounted. Thermal insulation is also mounted on
reinforced concrete slab under the roof. External load-bearing walls are
built with porotherm bricks (25 cm). On the inside of the wall is a
layer of internal plaster (3 cm). Thermal insulation facade (15 cm)
consists of: facade styrofoam (EpS), construction adhesive,
polypropylene mesh and mineral facade plaster. All internal bearing
walls are made of gypsum board panels with a thickness of 22 mm with
aluminium substructure, 10 cm of stone wool insulation and perforated
acoustic panels (12 mm). The wall height is about 3.60 m and the fire
resistance class is 90. Total surface area of the internal bearing walls
is 781,08 [m.sup.2]. [3] Detailed thermal properties of construction
materials used in the building are given in Table 1.
3.1. Thermal bridges and infiltration
For the model of business building in Tomislavgrad the list of
thermal bridges is shown in Figure 3 .a. Values used in the IDA ICE
software have been obtained by studying cases in the literature [5],
[6], [7], [8], [9]. The determination of the coefficients from the above
mentioned literature was made for similar materials and compounds as in
the EPHZHB business building in Tomislavgrad. These are approximate
values due to the complexity of the procedure for determining the
thermal bridges. We did not have the ability to do a detailed
examination of the building for that purpose.
Infiltration values are taken from the research of blower-door test
from the other pilot building in the project (Faculty of Electrical
Engineering and Computing building--UNIZGFER skyscraper building) [10].
We took the same data for "Air tightness": 3.7 ACH and
"at pressure difference": 50 Pa. Infiltration for business
building in Tomislavgrad defined in IDA-ICE is shown in Figure 3.b.
3.2. Heating/cooling system installations
Heating/cooling according to the main mechanical installation
project, building is provided with following installations [11]:
* Heat pump
* Engine room
* Fan coil installation
* Radiators installation
* Air handling units
* Server room cooling
* Ventilation
* Automatic regulation system
To ensure cold (hot) water 7/12[degrees]C (45/40[degrees]C), a heat
pump with air-cooled condenser is installed. Water circulation is
ensured via circulation pumps. Electricity is used as a basic energy
source, and an electric boiler 88 kW is also placed in the engine room
as an additional one, and at the temperatures below 7 [degrees]C as
basic hot water source. Heating and cooling of the offices, conference
rooms and halls are provided by parapet and ceiling fan coils. Steel
panel radiators are provided in sanitary facilities, and they are
connected to the fan coil pipeline. Ventilation is done via channel
fans, suction valves, grilles and air ducts. Automatic regulation system
and central monitoring and control system include management and control
of HVAC. [11]
4. Building simulation model in IDA-ICE software
Based on all the information given, detailed building model is
constructed in simulation software IDA-ICE [3]. Figure 4 shows 3D model
of the building with: 3D view of the whole building, sectioned 3D view
of first floor and 3D model of typical zones.
5. Simulation scenario and responses
Simulation scenario is chosen to fit the building occupancy
profile, heating and cooling demands, window opening scenarios, etc.
Heating and cooling system in the building is a typical two-pipe
system which implies seasonal heating and cooling. Cooling season covers
approximately the period from May, 15th until October, 1st. The rest of
the year only heating is available. On a daily basis heating/cooling
system operates in two regimes, daily regime defined with working hours
from 6:00-18:00 h and night regime outside working hours. During cooling
season, temperature is regulated only in daily regime. In heating
season, temperature is regulated in both regimes. In daily regime user
can set arbitrary comfort conditions within some reasonable temperature
range. Night regime is set automatically.
Occupancy schedules for the zones used as offices are generated in
accordance with the zones occupancy from for EPHZHB business building
technical documentation [3]. It is assumed that offices are not occupied
during weekends and holidays. For all offices, it is assumed that
working hours are from 08:00-17:00 h, with working break from 12:00-
13:00. To simulate the occupancy of toilets, kitchenettes, hallways and
stairways, cumulative occupancy is simulated such that each of these
zones is occupied with 2 persons per hour. To speed up the simulations,
door opening is not simulated due to the usually short duration of such
interrupts.
Since building does not have air handling units installed for every
room in the building, the fresh air supply depends on window opening.
Air handling unit provides fresh air supply as well as ventilation for
conference room on the ground floor, regulation room on first floor,
hallways, restrooms and for all other rooms that do not have exterior
walls. To ensure the fresh air, a ceiling air-chamber is located in
lowered ceilings, for each room in particular. Air handling unit
consists of:
* pressure fan
* air heater/air cooler with G3 filter
* regulatory blinds.
The air handling unit has the heater/cooler built-in regulator set,
which maintains the temperature of the intake air in the winter time
22[degrees]C, and in the summer time 24 [degrees]C. The heater has the
freezing protection. In transition periods, the fresh air supply system
can, apart from the ventilation, cover any heat loss or heat gain. For
all other rooms/zones (mainly for offices) fresh air is obtained by
occasionally opening the windows. Opened windows with active
heating/cooling are major sources of unnecessary energy dissipation.
Since window opening is inevitable for ensuring healthy working
environment, in the simulation scenario windows are opened two times per
30 minutes during in one working day (from 08:00-17:00 h). The windows
are opened from 08:00-08:30, and then again from 13:00-13:30. In all
zones only one window is opened at the same time.
Lighting in the building is LED lighting so it does not contribute
significantly to overall thermal energy consumption. Lighting is
simulated such that the lights are on when zone is occupied and light
intensity is below 500 Lux. The lights are turned off when daylight in
office reaches 10000 Lux. Rated input per unit is 50 W. Electrical
equipment is allocated across the model such that every person in every
permanently occupied zone, has its own personal computer and monitor,
and one printer per office with 150 W emitted heat per unit.
Weather data used for simulations are data gathered on a
meteorological station close to the business building for year 2016. The
data are provided by project partner EPHZHB. The data comprises outdoor
temperature, direct and diffuse solar irradiance, wind speed and
direction, and humidity.
6. Simulation results
Monthly energy demand for the simulation scenario in IDA-ICE
software, defined in Chapter 5, for heating and cooling season in 2016
is given in Table 2.
Monthly energy consumption for heating and cooling seasons in 2016.
is shown on graph depicted on Figure 5. Total floor area of the building
is 973,85 [m.sub.2] so thermal energy demand for heating in simulation
scenario, for 2016., is 77,41 kWh/[m.sup.2].
When running the simulation, one can choose an arbitrary sampling
time for the zone level data such as mean air temperature, operative
temperature, heat from heating and/or cooling room units, window thermal
losses, heat from lighting, heat from occupants, etc. Such information
can be of great importance for running a building model identification
procedure when data from a real building are missing or are hard to
reach. To capture the behaviour and impact of all disturbances affecting
the building behaviour minute sampling time has been chosen.
Simulation results for typical south oriented zone with the
construction as shown on Figure 6.
Daily zone temperature variations for an arbitrary selected north
oriented zone are shown on Figure 7.
7. Comparison with the real data
Total monthly energy demand for the EPHZHB business building during
heating and cooling season in 2016. is given in Table 3.
Months are separated by the heating season and the cooling season.
Only May and September fall in both seasons, so in that two months part
of energy consumption is used for heating and part for cooling. By
analysing the results of the simulation, and climate conditions in those
months, we concluded that:
* In May approximately 80% of thermal energy was used for heating,
and 20% of thermal energy was used for cooling.
* In September approximately 80% of thermal energy was used for
cooling and 20% of thermal energy was used for heating.
Presented results are measured as the energy consumed for the
entire building. These measurements are reduced by the energy
consumption of lighting, computer equipment and other smaller consumers.
Because we do not have precise results of separate energy consumption
for heating/cooling, an estimation has been made that this group of
electrical equipment has part in total energy consumption with
approximately average of 1100 kWh/month. Here we have to consider the
essential information from EPHZHB that in 2016. Only the ground floor of
the building was in use. The first floor was not used (the staff did not
work in the offices), however, heating and cooling systems worked
throughout the year. Taking this into account, Table 4 shows
approximately monthly energy demand for heating and cooling season in
2016.
Total floor area of the building is 973,85 [m.sup.2] so thermal
energy demand for heating in 2016 is 87,82 kWh/[m.sup.2], and for
cooling is 11,51 kWh/[m.sup.2]. Monthly energy consumption for heating
and cooling in 2016. is shown on graph depicted on Fig. 8.
In 2016, the total energy consumption in the building was 109.941
kWh, thereof thermal energy consumption was 96.733 kWh, which is 88 % of
the total energy consumption in the building. When compared with the
simulation results, the real thermal energy consumption in 2016. is in
average 11% higher than the expected building consumption defined with
the expected use scenarios. This implies possible energy savings over
11%, i.e. approximately 5.000 KM (2.500 EUR) per year when the building
usage would be aligned with the presumed simulation scenario.
Comparison of simulation scenario results in IDA-ICE and real
energy consumption in 2016. is shown on graph depicted on Figure 9.
8. Conclusion
This paper presents a comparison of energy consumption parameters
obtained from the energy dynamic model of the building and actual energy
consumption parameters, as the basis for development of the future
modular Model Predictive Control system. Comparison implies possible
energy savings over 11%, i.e. per year when the building energy usage
would be aligned with the presumed simulation scenario. Energy savings
obtained through simulation in IDA-ICE takes into account weather data,
comfort requirements and heat disturbance estimation to optimize energy
consumption in each zone (room). This concept represents the basis for
development of modular MPC system for pilot buildings in 3Smart project.
Most of the buildings in the Danube region has analogous problem with
building-side EMS. EMS is either non-existing or it is limited to
particular ineffective subsystems. Such deficiencies result in excessive
energy consumption, and ultimately with economical underperformance of a
building. This knowledge provides the ability to create an optimized EMS
in the building, and sets a good basis for creating modular software
tool for energy management on building side. This concept will result
significant economic gains and improved comfort compared to conventional
EMS systems. The savings that would arise from this innovative EMS would
not be negligible, especially when considering the application of such a
system to larger buildings, even to entire cities.
DOI: 10.2507/28th.daaam.proceedings.041
9. References
[1] Birkeland J. (2002) "Design for Sustainability: A
Sourcebook of Integrated, Eco-logical Solutions", Birkeland J.,
Eartscan Publications Ltd, 1-274, Sterling, ISBN: 1853838977,
9781853838972
[2] Martincevic A., Vasak M., Lesic V. (2016) "Model
predictive control for energy-saving and comfortable temperature control
in buildings", IEEE, Control and Automation (MED), Athens
[3] 3SMART project documentation (2017); [Online]. Available:
http://www.interreg-danube.eu/ approved-projects/3smart
[4] I.P.N. d.o.o. for design execution and supervision (2012), The
main project of a business building in Tomislavgrad, Book I. Project
Architecture, Posusje
[5] EQUA Simulation AB, IDA Indoor Climate and Energy, Sweden.
[Online]. Available: http://www.equa-solutions.co.uk/en/software/idaice
[6] Little J., Arregi B., (2011) "Thermal
Bridging-Understanding its critical role in energy efficiency",
Construct Ireland, Issue 6., Vol. 5, 2011.
[7] Whale L. (2016), "An introductory guide to thermal
bridging in homes", Zero Carbon Hub, London
[8] Schock Isokorb[R], (2014) "Design Guide-Solutions to
Prevent Thermal Bridging", Kitchener, Ontario
[9] Constructive Details Ltd, (2014) "Thermal bridging
solutions for external wall cavity details using Porotherm",
Bucknalls Lane, Watford
[10] Martincevic A., Vasak M., (2017) "Dynamic building model
for building simulation in a professional tool--UNIZGFER skyscraper
building", 3Smart Deliverable D4.5.1, [Online]. Available:
http://www.interreg-danube.eu/
approved-projects/3smart/section/deliverables
[11] Starcic A., Vasak M., Mandrapa S., Medugorac M., et al. (2017)
"Pilots conceptual projects with detailed analysis of pilot's
current technical state and requirements and preliminary cost-benefit
analysis of the planned investments", 3Smart Deliverable D6.2.1,
[Online]. Available: http://www.interreg-danube.eu/
approved-projects/3smart/section/deliverables
Boris Cmokic, Gordan Ljesic, Zeljko Stojkic & Maryana Bandic
Glavas
University of Mostar, Faculty of Mechanical Engineering, Computing
and Electrical engineering, Matice hrvatske bb, 88000, Mostar, BiH
Caption: Fig. 1. The conceptual layout of 3Smart platform [3]
Caption: Fig. 2. All sides of the considered building [4]
Caption: Fig. 3. a) Building thermal bridges defined in IDA-ICE; b)
Infiltration for building defined in IDA-ICE
Caption: Fig. 4. IDA-ICE 3D model of the building
Caption: Fig. 5. Monthly energy consumption for heating/cooling in
2016--IDA-ICE simulation
Caption: Fig. 6. Simulation results for typical south oriented
office for the period from January 16.--22.2016.
Caption: Fig. 7. Simulation results for an arbitrary selected north
oriented zone on January 23. 2016.
Caption: Fig. 8. Monthly energy consumption for heating and cooling
in 2016.
Caption: Fig. 9. Comparison of simulation scenario results in
IDA-ICE and real energy consumption in 2016.
Table 1. Detailed properties of construction material used in the
building
Layers
(inside-outside) Thick-
Building element (top-bottom) ness m
External walls Render 0,020
Porotherm bricks 0,250
Construction adhesive 0,001
Facade Styrofoam (EPS) 0.100
Construction adhesive 0,001
Polypropylene mesh 0,003
Construction adhesive 0,001
Mineral facade plaster 0,020
Internal Default Gypsum board 0,022
walls walls Perforated acoustic panel 0,012
Stone wool 0,100
Aluminium substructure --
Perforated acoustic panel 0,012
Gypsum board 0,022
Sanitary Ceramic tiles 0,008
blocks
walls Gypsum board 0,022
Perforated acoustic panel 0,012
Stone wool 0,100
Aluminium substructure --
Perforated acoustic panel 0,012
Gypsum board 0,022
Ceramic tiles 0,008
Floors Ground Floor coating:
floor polyamide carpet, 0,008
ceramic tiles, 0,010
decorative stone 0,025
Flooring screed MB 30 0,060
Separating layer 0,001
Thermal layer-stone wool 0,050
Reinforced concrete slab MB 30 0,600
Synthetic waterproof foil 0,002
Tampon-gravel 0,200
Tampon-stone 0,200
First Floor coating:
floor polyamide carpet, 0,008
ceramic tiles, 0,010
decorative stone 0,025
Flooring screed MB 30 0,060
Separating layer 0,001
Thermal layer-stone wool 0,050
Reinforced concrete slab MB 30 0,200
Ceilings Aluminium substructure --
Air gap 0,600
Gypsum board 0,022
Roof Aluminium sheet metal plates 0,001
Synthetic (Wolfin) foil 0,024
Geotextile layer 0,002
Wooden boards 0,002
Stone wool 0,100
Wooden beams 0,100
Reinforced concrete slab MB 30 0,200
Glazing Clear float glass --
Layers Thermal
(inside-outside) conductivity
Building element (top-bottom) W/mK
External walls Render 0,800
Porotherm bricks 0,141
Construction adhesive --
Facade Styrofoam (EPS) 0.035
Construction adhesive --
Polypropylene mesh 0,100
Construction adhesive --
Mineral facade plaster 1.400
Internal Default Gypsum board 0,160
walls walls Perforated acoustic panel 0,370
Stone wool 0.035
Aluminium substructure --
Perforated acoustic panel 0,370
Gypsum board 0,160
Sanitary Ceramic tiles 1,200
blocks
walls Gypsum board 0,160
Perforated acoustic panel 0,370
Stone wool 0,035
Aluminium substructure --
Perforated acoustic panel 0,370
Gypsum board 0,160
Ceramic tiles 1,200
Floors Ground Floor coating:
floor polyamide carpet, 0,250
ceramic tiles, 1,200
decorative stone 1,700
Flooring screed MB 30 0,412
Separating layer --
Thermal layer-stone wool 0,035
Reinforced concrete slab MB 30 2,600
Synthetic waterproof foil 0,190
Tampon-gravel 1.441
Tampon-stone 1,700
First Floor coating:
floor polyamide carpet, 0,250
ceramic tiles, 1,200
decorative stone 1,700
Flooring screed MB 30 0,412
Separating layer --
Thermal layer-stone wool 0,050
Reinforced concrete slab MB 30 2,600
Ceilings Aluminium substructure --
Air gap 0,230
Gypsum board 0,160
Roof Aluminium sheet metal plates 160,000
Synthetic (Wolfin) foil 0,190
Geotextile layer --
Wooden boards 0,170
Stone wool 0,035
Wooden beams 0,170
Reinforced concrete slab MB 30 2.60
Glazing Clear float glass 1,45
Layers
(inside-outside) Density
Building element (top-bottom) kg/[m.sup.3]
External walls Render 1 800
Porotherm bricks 750
Construction adhesive --
Facade Styrofoam (EPS) 29
Construction adhesive --
Polypropylene mesh 900
Construction adhesive --
Mineral facade plaster 880
Internal Default Gypsum board 950
walls walls Perforated acoustic panel 117
Stone wool 30
Aluminium substructure --
Perforated acoustic panel 117
Gypsum board 950
Sanitary Ceramic tiles 2000
blocks
walls Gypsum board 950
Perforated acoustic panel 117
Stone wool 30
Aluminium substructure --
Perforated acoustic panel 117
Gypsum board 950
Ceramic tiles 2000
Floors Ground Floor coating:
floor polyamide carpet, 1100
ceramic tiles, 2000
decorative stone 2700
Flooring screed MB 30 1200
Separating layer --
Thermal layer-stone wool 30
Reinforced concrete slab MB 30 2500
Synthetic waterproof foil 87
Tampon-gravel 1674
Tampon-stone 2700
First Floor coating:
floor polyamide carpet, 1100
ceramic tiles, 2000
decorative stone 2700
Flooring screed MB 30 1200
Separating layer --
Thermal layer-stone wool 0,035
Reinforced concrete slab MB 30 2500
Ceilings Aluminium substructure --
Air gap 1,23
Gypsum board 950
Roof Aluminium sheet metal plates 2800
Synthetic (Wolfin) foil 87
Geotextile layer 0,20
Wooden boards 550
Stone wool 30
Wooden beams 550
Reinforced concrete slab MB 30 2500
Glazing Clear float glass 2500
Layers Specific
(inside-outside) heat
Building element (top-bottom) J/kgK
External walls Render 790
Porotherm bricks 1000
Construction adhesive --
Facade Styrofoam (EPS) 1213
Construction adhesive --
Polypropylene mesh 1700
Construction adhesive --
Mineral facade plaster 2300
Internal Default Gypsum board 840
walls walls Perforated acoustic panel --
Stone wool 1000
Aluminium substructure --
Perforated acoustic panel --
Gypsum board 840
Sanitary Ceramic tiles 1000
blocks
walls Gypsum board 840
Perforated acoustic panel --
Stone wool 1000
Aluminium substructure --
Perforated acoustic panel --
Gypsum board 840
Ceramic tiles 1000
Floors Ground Floor coating:
floor polyamide carpet, 1700
ceramic tiles, 1000
decorative stone 920
Flooring screed MB 30 840
Separating layer --
Thermal layer-stone wool 1000
Reinforced concrete slab MB 30 1000
Synthetic waterproof foil 840
Tampon-gravel 881
Tampon-stone 920
First Floor coating:
floor polyamide carpet, 1700
ceramic tiles, 1000
decorative stone 920
Flooring screed MB 30 840
Separating layer --
Thermal layer-stone wool 1000
Reinforced concrete slab MB 30 1000
Ceilings Aluminium substructure --
Air gap 1006
Gypsum board 840
Roof Aluminium sheet metal plates 896
Synthetic (Wolfin) foil 840
Geotextile layer --
Wooden boards 2500
Stone wool 1000
Wooden beams 2500
Reinforced concrete slab MB 30 1000
Glazing Clear float glass 910
Table 2. Monthly zone level thermal energy consumption during
heating and cooling season in 2016.
Thermal energy consumption Season
(zone level) [kWh]
For heating For cooling
1. January 15.179,0 3,8
2. February 10.198,0 24,2 Heating season
3. March 9.157,0 181,3
4. April 4.452,0 231,5
5. May 2.200,0 1.210,0 Heating
May Cooling
6. June 1.063,0 1.875,0
7. July 811,1 3.052,0 Cooling season
8. August 900,5 2.554,0
9. Sept. 2.181,0 1.085,0 Cooling
Sept. Heating
10. October 5.092,0 420,0
11. November 9.005,0 41,3 Heating season
12. December 15.143,0 4,3
Overall: 75.381,6 kWh 10.682,3 kWh
Table 3. Monthly energy consumption during heating and
cooling season in 2016.
Month Energy consumption for Season
entire building [kWh]
1. January 17.370 --
2. February 15.028 -- Heating season
3. March 17.503 --
4. April 8.517 --
5. May 10.529 Heating
May Cooling
6. June -- 2.930
7. July -- 3.991 Cooling season
8. August -- 3.787
9. Sept. 3.505 Cooling
Sept. Heating
10. October 5.599 --
11. November 7.557 -- Heating season
12. December 13.618 --
Overall: 95.725 kWh 14.216 kWh
Table 4. Monthly zone level approximately thermal energy
consumption during heating and cooling season in 2016.
Month Thermal energy consumption Season
(zone level) [kWh]
For heating For cooling
1. January 16.271 --
2. February 13.929 -- Heating season
3. March 16.404 --
4. April 7.417 --
5. May 7.543 1.886 Heating
May Cooling
6. June -- 1.831
7. July -- 2.892 Cooling season
8. August -- 2.678
9. Sept 481 1.925 Cooling
Sept. Heating
10. October 4.500 --
11. November 6.458 -- Heating season
12. December 12.518 --
Overall: 85.521 kWh 11.212 kWh
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