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www.annex67.org
Bart BleysHead of Laboratory Water Technologies, ir.Belgian Building Research Institutebart.bleys@bbri.be | SørenØstergaard JensenSenior Project ManagerEnergy and Climate DivisionDanish Technological Institutesdj@teknologisk.dk | Anna Marszal-PomianowskaAssociated Professor, PhD.Department of Civil EngineeringAalborg Universityajm@civil.aau.dk |
Large-scale
integration of electricity production from renewable energy sources is often
suggested as a key technology striving towards a sustainable energy system,
mitigating fuel poverty and climate change. In many countries, the growing
share of renewable energy sources (RES) goes in parallel with the extensive
electrification of demand, e.g. replacement of traditional cars with electrical
vehicles or displacement of fossil fuel heating systems, such as gas or oil
boilers, with energy efficient heat pumps. At the same time, supporting the
operation of (low temperature) district heating grids supplied by different
renewable sources. These changes on both the demand and supply side impose new
challenges to the management of energy systems, such as the variability and
limited controllability of energy supply from renewables or increasing load
variations over the day. Consequently, managing the energy transition following
the traditional energy system viewpoint would lead to a grid operation closer
to its limits, with a possible consequent increase of the energy use at peak
periods, requiring more complex control problems with shorter decision times
and smaller error margins.
As
buildings account for approximately 40% of the annual energy use worldwide,
they are likely to play a significant role in providing a safe and efficient
operation of the future energy system. Buildings are able to deliver
significant flexibility services to the system by intelligent control of their
energy loads, both thermal and electric.
Buildings
can supply flexibility services in different ways, e.g. utilization of thermal
mass, adjustability of HVAC system use (e.g. heating/cooling/ventilation),
charging of electric vehicles, and shifting of plug-loads. Figure 1
illustrates a buildings capability to shift loads and thus using its
flexibility.
Figure 1.
Load shifting and peak shaving using the flexibility available in a building.
Although
various investigations of buildings in the Smart Grid/Smart Energy context have
been carried out, research on the relationship between Energy Flexibility in
buildings and future energy grids is still in its early stages. There is a need
for increasing knowledge on and demonstration of the energy flexibility
buildings can provide to future energy networks. At the same time, there is a
need for identifying critical aspects and possible solutions to manage this
energy flexibility, while maintaining the comfort of the occupants and
minimizing the use of non-renewable energy. For these reasons, the research
project Annex 67 [1] was launched in 2014.
Project duration2014 – 2019Operating AgentSørenØstergaard Jensen, Danish Technological Institute,
DenmarkParticipating countriesAustria, Belgium, Canada, P.R. China, Denmark,
Finland, France, Germany, Ireland, Italy, The Netherlands, Norway, Portugal,
Spain, Switzerland, UKFurther informationwww.annex67.org |
The project
objectives are:
·
the
development of a common terminology, a definition of ‘energy flexibility in
buildings’ and a classification method,
·
investigation
of user comfort, motivation and acceptance associated with the introduction of
energy flexibility in buildings,
·
investigation
of the energy flexibility potential in different buildings and contexts, and
development of design examples, control strategies and algorithms,
·
investigation
of the aggregated energy flexibility of buildings and the potential effect on
energy grids, and
·
demonstration
of energy flexibility through experimental and field studies.
The
following project deliverables are planned:
·
Principles
of Energy Flexible Buildings,
·
Characterization
of Energy Flexibility in Buildings,
·
Stakeholders’
perspective on energy flexible buildings,
·
Control
strategies and algorithms for obtaining energy flexibility in buildings,
·
Experimental
facilities and methods for assessing energy flexibility in buildings,
·
Examples
of Energy Flexibility in buildings,
·
Project
Summary Report.
A large
part of the energy demand of buildings – such as the energy for space
heating/cooling or white-goods – may be shifted in time, and, thus, it may
significantly contribute to increase the flexibility of the demand in the
energy grids.
One option
for generating flexibility is to make use of the thermal mass, which is
embedded in all building structures. Depending on the thermal mass properties,
such as the amount, the distribution, the speed of charging/discharging, etc.
of the thermal mass it is possible to shift the heating or cooling demand in
time for a certain period without jeopardizing the thermal comfort in the
building. Typically, the time constant of buildings varies between a few hours
to several days depending on the amount and exploitability of the thermal mass
together with the heat loss, internal gains, user pattern and the actual
climate conditions. In addition, many buildings use different types of
distributed energy storages (e.g. water tanks, and electrical batteries), which
may influence the Energy Flexibility of the buildings. One such typical storage
is the domestic hot water tank, which might be excess pre-heated before a low
energy level situation. The excess heat may be used for space heating but may
also be used for white goods such as hot-fill dishwashers, washing machines and
tumble dryers in order to decrease and shift their electricity need.
When
referring to Energy Flexibility in terms of consumer demand, there are two main
approaches, which meet the need to shift the energy demand: storage of
electrical energy/heat and demand flexibility. Storage of heat (as mentioned
above) is based on the utilization of the structural thermal mass (building
inertia) or on water tanks, whereas storage of electrical energy relies on
dedicated batteries or electric vehicles. The storage of heat can be done
efficiently in a number of ways, most commonly used are the heat pump
technology and hot water tanks. On the other hand, demand flexibility
(response) is achieved when the electricity consumption of controllable devices
(HVAC, washing machines, dishwashers, tumble dryers, electric vehicles, etc.)
is shifted from its normal consumption patterns in response to changes in the
price of electricity or to meet periods of high renewable generation.
One of the
first priorities of Annex 67 was to establish a clear definition of Energy
Flexibility. After an intensive literature review, following definition was
adopted [2]:
·
The
Energy Flexibility of a building is the ability to manage its demand and
generation according to local climate conditions, user needs and grid
requirements.
·
Energy
Flexibility of buildings will thus allow for demand side management/load control
and thereby demand response based on the requirements of the surrounding grids.
Another
main deliverable from Annex 67 is to determine a methodology for
characterization and labeling of Energy Flexibility
in buildings.
Two
approaches have been introduced to compute the flexibility characteristics: a
data-driven approach whereby system identification techniques are used to
identify the response function based on time series data of the system output (e.g.
energy use) and the penalty signal; and a simulation-based approach whereby the
flexibility characteristics are derived from simulating the system response to
respectively a flat penalty and a step penalty.
The
methodology [3] is based on the fact that the Energy Flexibility of a building
is not a fixed value but varies with the daily and seasonal weather conditions,
the use of the buildings, the requirements of the occupants e.g. comfort range,
the requirements of the energy networks, etc.
Figure 2 shows an example of the aggregated
response of buildings when receiving some sort of control signal – in the
following called penalty signal.
Figure 2.
Example of aggregated response when some buildings receive a penalty signal –
here a price [2]. The parameters in Figure are: τ is the time from
the signal is submitted to an action starts, α is the period from start of
the response to the max response, ∆ is the max response, β is the
duration of the response, A is the shifted amount of energy, and B is the
rebound effect for returning the situation back to the “reference”.
The penalty
signal can be chosen according to specific conditions: often the penalty signal
is a price signal, but can also be a signal based on the actual level CO2 or actual level of energy from renewable energy
sources (RES). For these signals the controller should minimize the price or CO2 emission or maximize the utilization of RES.
The penalty
signal can either be a step response (e.g. a sudden change of the price of
energy) as in Figure 2 in order to test different aspects
of the available Energy Flexibility in a building or clusters of buildings, or
it can be a temporal signal varying over the day and year (example see Figure 3)
according to the requirements of the energy networks. A step response test may
e.g. be utilized in simulations to test the capacity of e.g. a thermal storage.
Temporal signals will typically be used when utilizing the energy flexibility
in an area of an energy network and will concurrently feedback knowledge on the
available energy flexibility in this area.
Due to the
variation of the conditions for obtaining Energy Flexibility the focus is on a
methodology rather than a number. However, using the methodology numbers may be
obtained for the parameters mentioned Figure 2 and for
comparison with a reference case, where no flexibility is obtained. The latter
refers to labelling, where buildings including their energy systems may be
rated by their share of reduction on price/consumption/ CO2 -emissions etc. (depending on the target of the
labelling) when using penalty-aware control instead of penalty-ignorant
control.
Figure 3.
Top plot: the room temperature in a building is controlled by a penalty-aware
controller (green line) or a conventional controller (red line). Both
controllers are restricted to stay within the dashed lines. Middle plot: The
black columns give the penalty, while the green and red lines show when the two
controllers calls for heat. Bottom plot: the accumulated penalty for each of
the controllers. The penalty-aware controller results for the considered period
in 20 % less emission of CO2 compared to the
traditional controller [3].
Based on
the above described methodology, Annex 67 has given input to the EU study
on a Smart Readiness Indicator for implementation in EPBD [4]. Annex 67
has written a Position Paper explaining the view of Annex 67 regarding how
to consider Energy Flexibility – also in the Smart Readiness Indicator. There
is a need for an approach that takes in to account the dynamic behaviour of
buildings rather than a static counting and rating of control devices. It is
further important to minimize the CO2 emission in
the overall energy networks rather than optimize the energy efficiency of the
single energy components in a building.
Figure 4.
Position paper of Annex 67 on SRI.
The
position paper can be downloaded from the Annex 67 website www.annex67.org.
When
utilizing the Energy Flexibility in buildings the comfort and economy of the
buildings are influenced. If the owner, caretaker and/or users of a building
are not interested in delivering Energy Flexibility to the surrounding energy
grids, it does not matter how energy flexible the building is as the building
will not be an asset for the surrounding energy grids. It is, therefore, very
important to investigate and understand which barriers exist for the
stakeholders of buildings and how the stakeholders may be motivated to allow
their buildings to contribute with Energy Flexibility to stabilize the future
energy grids. Strategies to benefit both the total energy system and the
customers are, therefore, investigated.
Annex 67
is tackling the very challenging topic of Energy Flexibility in buildings. This
topic will become ever more important with the growing share of RES in
sustainable energy systems. So far, the project has been very productive. For
all available articles, conference papers, reports and other results, see www.annex67.org.
[1] IEA EBC Annex 67 “Energy Flexible
Buildings”. http://www.annex67.org.
[2] Jensen, S.Ø., Marszal-Pomianowska,
A., Lollini, R., Pasut, W.,
Knotzer, A., Engelmann, P., Stafford, A., Reynders,
G. (2017) IEA EBC Annex 67 Energy Flexible Buildings Energy and Buildings,
155, pp. 25-34, DOI: 10.1016/j.enbuild.2017.08.044.
[3] R.G. Junker, R. Relan,
A.G. Azar, R. Amaral Lopes, K. B. Lindberg, H. Madsen, Characterizing Energy
Flexibility for Buildings and Districts submitted to Energy and Buildings,
Applied Energy Volume 225, 1 September 2018, Pages 175-182 DOI:10.1016/j.apenergy.2018.05.037.
[4] Flemish Institute for Technological Research
NV (“VITO”) et al.: Support for setting up a Smart Readiness Indicator for
Buildings and related impact assessment. Study ordered and paid by the European
Commission, Directorate-General for Energy, Contract no.
ENER/C3/2016-554/SI2.749248; https://smartreadinessindicator.eu/. Mol/Belgium
2017-2018.
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