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Giulia
VergerioTEBE-IEEM Group,
Energy Department, Politecnico di Torino, Turin and Energy Center-Lab,
Politecnico di Torino, Turin, Italygiulia.vergerio@polito.it | Cristina
BecchioTEBE-IEEM Group,
Energy Department, Politecnico di Torino, Turin and Energy Center-Lab,
Politecnico di Torino, Turin, Italycristina.becchio@polito.it | Ana TisovHuygen Engineers & Consultants, Maastricht,
Netherlandsa.tisov@huygen.net |
Most of the
energy consumptions in buildings is related to space conditioning. In
particular, the energy demand for cooling is expected to increase in the next
years, and mechanical ventilation systems are more and more needed in high
performing building to guarantee comfort to the occupants without compromising
the energy performance of the building itself. As a consequence, the HVAC
sector has a key role in bolstering the improvement of the energy efficiency of
the building sector and the subsequent reduction of energy-related greenhouse
gases (GHG) emissions. In particular, the European Roadmap to 2050 has
identified the need of the building sector to achieve by 2050 a 90% reduction
of GHG emissions with respect to 1990 level [1]. In this regard, the need to
prepare a national plan addressing the existing building stock is stressed in
the new Energy Performance of Building Directive 2018/844/UE [2]. In particular, the Directive
underlines that building renovation strategies have to be fostered taking into
account the multiple benefits coming from retrofit as the increase in comfort,
air quality, health, etc.
Figure 1. The
multiple benefits of energy efficiency according to the new EPBD [3].
The new
EPBD also introduces the concept of the building readiness to smartness,
defined as the capability to respond to both the occupants and the grid needs.
This concept is measured as a percentage score, obtained as a weighted sum of
the building readiness over the maximum score possible in regarding to different
criteria. Within these criteria, also comfort, health and information to the
occupants are mentioned as areas of interest. The methodology is based on a
check-list approach, where the analyst has to identify the set of technologies
inside the building and define their level of functionality that, according to
a predefined scoring system, correspond to a specific level of readiness to
smartness per each impact area. In this framework, a challenge in the planning
of renovation strategies is the definition of proper metrics and tools able to
take into account the multiple benefits related to the renovation itself.
Technologies that can be deployed in the renovation process, as innovative HVAC
technologies, should be evaluated taking into account their impacts not only in
terms of energy efficiency, but also on the matters mentioned in the updated
regulation panorama (i.e. indoor air quality, comfort, health, etc.).
Another
challenge to tackle while planning renovation for buildings is the broadly
recognized issue of the energy performance gap. It is defined as the difference
between the real energy consumption of a building and the one assessed during
its design phase. This discrepancy is mainly due to the influence of occupants.
Consequently, education of occupants to increase their awareness about how
their actions impact on energy consumptions of buildings cannot be disregarded
in pursuing the European goals for the building sector.
In this
paper, the H2020 Mobistyle project contribution is
underlined, with a particular attention on the need of the implementation of
new Key Performance Indicators (KPIs).
Mobistyleis a Horizon2020 European project aiming to
drive behavioural changes in buildings occupants, leveraging on the three
issues of energy, indoor environmental quality (IEQ) and health [4]. To reach this objective, personalized
ICT solutions (Mobile App, Game and Dashboard) are deployed at different demo
cases level. The Mobistyleapproach is based on the provision
of personalized feedback and on the deployment of a tailored awareness campaign
to increase people perception about how their habits can influence energy
consumptions and IEQ in buildings, but also their health and well-being. The
set of tools and methodologies deployed within Mobistyle
project and the experience obtained in the pilots represent a contribution with
regards to the need to educate occupants about their impacts on energy
consumptions of buildings to control the performance gap.
Figure 2. The
Mobistyle concept.
However,
this set of tools need a validation process according to a well-defined
evaluation procedure. Accordingly, the objective of Working Package 3 is to
formulate a methodology to (i) define, gather,
elaborate and address energy, IEQ and health data to users aimed at providing a
behavioral change [5], [6], and to (ii) evaluate the
effectiveness of the proposed Mobistyle strategies[7]. Within Mobistyle,
some single-domain KPIs are identified as part of the evaluation methodology to
measure the outcomes of the project in terms of energy consumptions, IEQ and
occupant behavior patterns in the different demo
cases before and after the Mobistyle solutions
deployment [7]. More interestingly, the KPIs to be
displayed to the users through the ICT tools are defined according to the
specific behavioral action plans, and translated into
meaningful information and actionable tasks for building occupants [6]. The core of this paper is in the
further implementation of the traditional single-domain KPIs towards new KPIs
able to give a contribution with regards to the need to define new metrics able
totake into account multiple benefits
in the evaluation procedures.
To define new
KPIs, the starting point is thinking about the traditional domain KPIs and the expected
correlations, keeping in mind value and relevance of the proposal:
·
Value: Which is the derived knowledge from the new KPI?
·
Relevance: Who would be interested in the new KPI and for which purpose?
In the
followings, different examples of KPIs developed within Mobistyle
project, with some insights about possible stakeholders which would be possibly
interested in them, are reported.
A fist
indicator proposed is the carbon intensity of the stock, defined as the sum of
all the final consumptions of the stock weighted on the GHG emission factors
characteristic of each energy carrier. This KPI can be used to know the
specific environmental performance of the stock and to identify possible
improvements brought by the exploitation of different fuels. It can be a
relevant index for the policy makers, whose need, between others, is to
identify how far the building stock is from a targeted performance.
Accordingly, within Mobistyle, a benchmark value on a
set of residential building located in Aalborg, Denmark, will be computed based
on the Equation (1).
(1) | |||
where “d”
is for day of the monitoring period and “coeff.
emissx” are the emission factors
characteristic of each energy carrier x. |
| ||
In
interventions aiming at improving the energy performance of a building, it’s
fundamental to improve also the IEQ. The Mobistyle
project focuses on thermal comfort and indoor air quality, monitoring the
indoor air temperature, the indoor air relative humidity and the indoor
concentration of both CO2 and Volatile Organic Compounds
(VOC). There are several studies which try to assess to which extent the
overall comfort perception of the occupants is influenced by each of these
parameters [8]. Thus, another new KPI is
represented by the sum of weighted percentage of hours in class II of comfort
(as defined according to the EN 15251 [9]) according to the four measured
parameters over the total hours of the monitoring period.
[%] | (2) | ||
where “d” is for day of the monitoring period; “n”: total
number of days; “Oh” are the total daily hours and “hOR(x)” the daily hours where the parameter x
is out from the comfort range; “T”: hourly mean indoor air
temperature, “RH”: hourly mean indoor relative humidity; “CO2”:
hourly mean CO2 concentration; “VOC”: hourly mean Volatile Organic
Compounds concentration. |
| ||
Each
parameter has the same weight (α1 = α2 = α3 = α4), but by changing them it is possible to
assess which parameter is influencing the most the overall percentage of hours
in comfort and thus to disclose to the occupants where the criticalities in
terms of IEQ are. The KPI is validated by its application to different demo
cases of the Mobistyle project. Similarly, the
nominator of Equation (2) can be replaced with a measure of severity of
discomfort.
When there
is not correspondence between the energy manager (who is paying for the energy
bills) and the occupants (who is benefitting from the guaranteed comfort), the
former could be interested not on the comfort level, of interest of the latter,
but on the economic implication of a potential discomfort. Then, another KPI is
defined borrowing the model developed in [10], reported in Equation (3).
[%] | (3) |
In
particular, the function defines the level of performance in % based on the
indoor temperature “T” (with 100% of performance around
22°C). The computation proposed in this paper is performed on an hourly-base,
considering the hourly mean temperature per each working day as input. The productivity
level is monetized by multiplying the percentual obtained thanks to this model
for the hourly salary of an employee, as defined in Equation (4).
[€] | (4) | |
where “d” is for day of the
monitoring period; “n”: total number of
days; “Oh” are the total daily hours; “T”: hourly mean indoor air temperature per each hour i; “L”: hourly salary of an employee per each hour i. |
The KPI
will be validated on the Slovenian demo case (some offices in the university
building). The outcome represents the economic value of keeping proper
temperature level in office spaces. If the energy bill for climatization
(normalized over the number of occupants) is divided by the result of Equation
(4), both computed on data covering the same time span, new knowledge about
the financial balance between the costs to keep comfortable indoor temperature
(through climatization) and the benefits in terms of productivity can be
disclosed.
The Mobistyle platform collects all the methodologies and tools developed during the project. The bridge between the Mobistyle platform and the external market of stakeholders is represented by the Mobistyle Open User Platform (MOUP), a software service based on open standards. Its main value proposition lies in giving additional combined information from the gathered data to the stakeholders through new KPIs. Accordingly, the KPIs proposed in this paper will be tested and offered via the MOUP as benchmark values on combined information about buildings performances.
To
summarize, the paper wanted to underline the contribution of the H2020 Mobistyle project in face of the two identified needs of i) taking into account the multiple benefits of
renovation strategies; ii) educating occupants about their impacts on buildings
energy consumptions to control the performance gap. In particular, new KPIs
relevant for different stakeholder (policy makers, building occupants and
building managers), which will we tested within (and offered via) the MOUP, has
been discussed.
This work
is part of the research activities of an international project financed by
European Community MOBISTYLE – Motivating end users Behavioral
change by combined ICT based tools and modular Information services on energy
use, indoor environment, health and lifestyle. It has received funding from the
European Union’s Horizon 2020 research and innovation programme under the grant
agreement No. 723032.
[1]
European Commission, A Roadmap for moving to a competitive
low carbon economy in 2050, COM (2011), 112, 2012,
Brussels, Belgium.
[3]
Buildings Performance Institute Europe (2019). Building renovation in the Clean
Energy Package: implications at local, national and EU levels, 2019, Brussels, Belgium.
[4]
Op’t Veld P. et al. (2016). MOBISTYLE MOtivating
End-Users Behavioral Change by Combined ICT Based
Tools and Modular Information Services on Energy Use, Indoor Environment,
Health and Lifestyle. Proposal of MOBISTYLE
Horizon 2020 EU project.
[5]
Fabi V., Barthelmes V. M., Becchio C., Corgnati S.
(2017). Detailed monitoring and information
campaign parameters (objectives, data requirements, monitoring tools,
information services) based on combined feedback about energy, IEQ and health. Deliverable D 3.1 of MOBISTYLE Horizon 2020 EU
project.
[6]
van MarkenLichtenbelt
W., Tisov A., d’Oca S., Vasilevskis S., Barthelmes V. M.,
Becchio C., Vetrsek J., Herczakowska J., Marciniak P. (2018). Development
indicators based on environmental conditions. Deliverable D 3.2 of
MOBISTYLE Horizon 2020 EU project.
[7]
Barthelmes V. M., Becchio C., Fabi V., Litiu A. V.,
Vergerio G., Corgnati S. P. (2018). Evaluation
Method to Test the Effectiveness of the Combined Feedback Campaigns. Deliverable D 3.3 of MOBISTYLE Horizon 2020 EU
project.
[8]
Ncube M., Riffat S. (2012). Developing
an indoor environment quality tool for assessment of mechanically ventilated
office buildings in the UK e A preliminary study. Building and Environment
53 (2012) 26-33.
[9]
CEN (2007). Indoor Environmental Input
Parameters for Design and Assessment of Energy Performance of Buildings-
Addressing Indoor Air Quality, Thermal Environment, Lighting and Acoustics. EN 15251 Standard.
Brussel: European Committee for Standardization.
[10]
Seppanen O., Fisk W. And Lei Q.
H. (2006). Effect
of temperature on task performance in office environment, in Proceedings of Cold Climate HVAC conference,
Moscow.
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