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Dick van DijkMSc Applied PhysicsEPB-research –The NetherlandsEPB-research@dickvandijk.nl |
Previous
series of articles (REHVA 2015/1, REHVA 2016/3 and REHVA 2016/6) introduced the
new set of international (CEN, CEN ISO) standards for the assessment of the
overall energy performance of buildings (EPB).
The
strongest interest is in those EPB standards that are ‘collectively’ needed to
calculate the overall energy performance, either for existing buildings, for
new buildings or for new building designs.
The core of
the energy performance calculation can be found in:
·
EN
ISO 52000-1, Energy performance of
buildings — Overarching EPB assessment — Part 1: General framework and
procedures ([1],
[2]); and
·
EN
ISO 52016-1, Energy performance of
buildings - Energy needs for heating and cooling, internal temperatures and
sensible and latent heat loads - Part 1: Calculation procedures ([3], [4]),
supplemented
by series of other EPB standards (see overview in [9]):
·
providing
input data on:
−
outdoor
climatic conditions,
−
indoor
environment conditions and conditions of use,
−
building
components,
·
assessment
of the energy performance of the technical building systems for heating,
cooling, ventilation, domestic hot water and lighting, as function of –and
interacting with- the energy needs calculation and with building or system
automation and control;
·
‘post-processing’
of the overall and partial energy performance into numerical indicators, energy
requirements and ratings.
EN ISO
52000-1 provides the modular and over-arching framework
for the assessment of the energy performance of buildings. It provides a common
basis for calculated and measured energy performance, and also for energy
performance inspection, at whole building, building units or building element
level. The framework
comprises:
·
identification
and classification of the building or building unit to be assessed (“assessed
object”) and zoning,
·
determination of the assessment
boundary and perimeters,
· assessment of the energy flows at the assessment boundary, and,
· weighting of the energy flows according to primary energy factors or other metrics, e.g., CO2 emission and aggregation to the energy performance and the renewable energy contribution.
For the calculation of the energy performance
the overarching EPB standard (EN ISO 52000-1) lists different options for the
time interval: hourly, monthly, seasonal, yearly and bin. This article provides
some background information why an hourly time interval is recommended. The calculation interval is one of
the key issues to obtain a transparent and coherent overall structure, with all
of the interactions at different levels and with a coherent set of input data.
For use in the context of building regulations it is essential that the procedures to calculate the energy performance of a building are not only accurate, but also robust (applicable to a wide range of cases). It is also essential that they are reproducible (unambiguous) as well as transparent and verifiable (e.g. for municipalities, to check compliance with national or regional minimum energy performance requirements) and applicable/affordable (e.g. for inspectors, assessing the energy performance assessment of an existing building).
In other words, it is important to find a balance between transparency, robustness and reproducibility of the calculation method, an affordable and reliable set of input data, and sufficient appreciation of the wide variety of available energy saving technologies.
Therefore, the accuracy of the model should always be in proportion with the limits and uncertainty in input data and with the required robustness and reproducibility of the method: a balanced accuracy.
Consequently, the most accurate, complete and state of the art method is not necessarily the most appropriate method for a specific calculation.
Many technologies, in particular for low energy buildings, are strongly and dynamically interacting with the hourly and daily variations in weather and operation (solar blinds, thermostats, needs, occupation, accumulation, mechanical ventilation, night time -free cooling- ventilation, weekend operation, etc.). This has a strong effect on the heating and cooling calculation.
Therefore,
it is no surprise that the choice between hourly or monthly calculation
procedures is most prominently visible in the calculation of the energy needs
for heating and cooling.
EN ISO
52016-1 provides the procedures for the calculation of the energy needs for
heating and cooling. It supersedes the well-known EN ISO 13790:2008 (Energy performance of buildings -- Calculation of
energy use for space heating and cooling).
In line
with the overarching EPB standard, it contains a monthly and an hourly
calculation method, side by side. A “bin” method is not an option, as explained
further on. A building simulation tool is not recommended either, as also
explained further on.
As
introduced in previous articles ([5], [6], [7]), one of the main new features
of EN ISO 52016-1 is the new specific hourly method to calculate the energy
needs for heating and cooling, internal temperatures and sensible and latent
heat loads, in parallel to the simple monthly method which remained in essence
the same as the method in EN ISO 13790.
With the hourly calculation method the thermal balance of the building or building zone is made up at an hourly time interval.
Additional applications covered in the hourly method of EN ISO 52016-1 are:
·
calculation
of internal temperatures, e.g. under summer conditions
without cooling or winter conditions without heating;
·
calculation
of heating or cooling load under system design conditions.
The effect of specific system properties can also be taken into account, such as the maximum heating or cooling power and the impact of specific system control provisions. This leads to system-specific loads and needs, as introduced further on.
In the monthly calculation method of the energy needs for heating and cooling, correction or adjustment factors are required to account for the dynamic effects mentioned above, in a kind of statistical way. These factors are usually pre-calculated, based on a large series of building simulations with e.g. variations of daily weather and conditions of use.
"Bin" refers to a statistical method, where the frequencies of occurrence of short time interval values for one or more boundary condition variables (e.g. hourly values for the outdoor air temperature) are allocated to defined intervals (the "bins"). The calculation is then done bin by bin, by using the value of the variable in the middle of the bin as a boundary condition and multiplied by the frequency of the respective bin.
This method is especially of value when calculations with longer time intervals for some parts (e.g. monthly or seasonal for the building) need to be combined with calculations of technologies where the influence of the variation of a driving force is essential and averaging is not acceptable (e.g. the outdoor temperature for air-to-water heat pumps).
The limitation of the bin method is that there is no 'memory' between the bins. In case of energy storage systems or in case of heat accumulation in building elements, a bin does not know how much heat was accumulated or released during the previous time interval, because the bins are not sequential in time as e.g. an hourly time interval.
This limitation is the reason why a bin method is not an option for the calculation of the energy needs for heating and cooling in a building: the heat accumulation in the building mas typically stretches over several days.
A standard reference method for the calculation of the energy performance of buildings should be realistic, sufficiently sensitive (=discriminating between technologies and their performance), fair and robust. But a standard calculation method should also be affordable, reliable, verifiable, transparent, reproducible and affordable.
Typically a detailed full dynamic simulation tool is regarded as a suitable alternative reference approach, provided that sufficient information is available on all the input data (including operating conditions) and their variations.
In practice, however, a detailed full dynamic simulation tool introduces a lot of choices, details and complexities that makes it quite a job to use it as a reference tool for a standard method to calculate the energy performance of buildings; in particular for use in the context of building regulations where reproducibility and transparency are key quality aspects of the standard method.
Conclusion: depending on the technologies and/or physical processes a suitable reference method is a tailored choice and not necessarily a detailed simulation tool.
A direct hourly calculation does not need the correction factors that are needed in the monthly method to account for the dynamic effects. But the challenge for an hourly method is to avoid the need for too many input data from the user, which would introduce uncertainties that could easily lead to a loss of overall accuracy.
The
hourly and the monthly method in EN ISO 52016-1 are closely linked: they use as
much as possible the same input data and assumptions.
The main goal of the hourly calculation method compared to the monthly method is to be able to take into account the influence of hourly and daily variations in weather, operation (solar blinds, thermostats, heating and cooling needs, occupation, heat accumulation, etc.) and their dynamic interactions for heating and cooling.
This tailoring to the goal
enables to avoid the need for extra input to be supplied by the user compared
to the monthly calculation method.
And
the hourly method yields
as additional
output monthly results
which can be compared with the monthly method or be a basis for the derivation
of the correlation factors for a monthly method for a specific location and building
type.
See flow chart in Figure 1.
In the hourly method, only the standard writers will have to introduce extra data: hourly operation schedules and weather data. On the other hand, the standard writers don't need to prepare and maintain tables with pre-calculated factors (on operation of blinds, effect of solar shading, etc.).
Moreover, these hourly data are available anyway, e.g. for applying the principle of equivalence for novel technologies. The hourly method brings these data to the visible foreground of the method.
Figure 1. EN ISO 52016-1: links between the hourly and
the monthly method.
The hourly calculation procedures in ISO 52016 1 are best suited to reveal the influence of the system on the energy loads and needs for heating and cooling:
· undersized heating or cooling power,
· recoverable heat losses,
· adjustment of the temperature set-points (value and time-schedule) due to imperfect system control, and
· limitation of the heating or cooling season for the calculation defined by the operation time of the respective technical systems.
But also for the interaction the other way around: to take into
account the influence of the calculated hourly heating and cooling load and
indoor temperature on the performance of the technical systems and their
components (as described in the system related EPB standards).
As
illustrated in Figure 2 versus Figure 3,
the thermal balance in buildings changes dramatically compared to the past:
nowadays the solar and internal gains have a relatively much larger influence
on the energy needs for heating and cooling.
Figure 2. Illustration of the thermal
balance in case of buildings in the past: the difference between the heat
losses and the heat gains (è the
energy need for heating) is large and much less fluctuating as in low energy
buildings (compare Figure 3).
Figure 3. Illustration of the thermal
balance in case of low energy buildings: the difference between the heat losses
and the heat gains (è the
energy need for heating) is small and more fluctuating.
Due to
relatively much larger solar and internal gains the (low) energy needs are much
more dependent of the highly fluctuating heat gains, in combination with the
heat accumulation in the thermal mass of the building. This makes it much more
difficult to find proper and robust correction factors that are needed to take
into account the dynamic effects.
Another major drawback of the monthly method is the following:
Because there are possibly months with both heating and cooling needs, and because this cannot be predicted without doing the actual calculation, two independent calculations are performed:
1) for each month a calculation of the heating needs, with assumptions for the heating mode (e.g. on the use of solar blinds, ventilation, etc.)
2) for each month a calculation of the cooling needs, with assumptions for the cooling mode (e.g. on the use of solar blinds, ventilation, etc.)
Evidently this can lead to strange assumptions and to incomprehensible results.
In the hourly method it is simply determined at hourly basis whether there is a heating or a cooling need and the inertial effect of heating or cooling or overheating during previous hours is taken into account automatically.
A number of other dynamic effects add to the problems for a monthly method in addition to the influence of hourly and daily variations in weather:
The hourly
and daily variation in operation and/or in energy
performance of dynamic technologies or processes (see Figure 4).
Examples of relevant dynamic technologies or processes (related to building and building elements or technical building systems and their interactions):
· nocturnal temperature set back, occupation (internal gains) and operation (ventilation system, shutters/blinds, …);
· weekend temperature set back, occupation (internal gains) and operation (ventilation system, shutters/blinds, …)
· solar shading by e.g. overhangs (passive heating, cooling needs, lighting needs);
· movable solar shading provisions (cooling and lighting needs);
· adaptive facades;
· nocturnal ventilation (free cooling);
· heat recovery unit (ventilation): frost protection in winter; use of by-pass in summer;
· variable ventilation air flow rates;
· heat pump, with performance strongly depending on the source temperature and with auxiliary back up heater;
· other system components with load dependent system efficiencies;
· cooling system with limited cooling capacity (comfort cooling).
Figure 4. Illustration of hourly patterns that have a dominant influence on the thermal balance, with as a consequence that the use of monthly mean values can be problematic, even more so in case of buildings with deviating weekend operation.
In the monthly method these influences are taken into account by monthly correlation factors, such as the utilization factors for heating and for cooling needs, supplemented by additional correction factors (e.g. for night and weekend temperature set back) and detailed pre-calculated tables that are based on agreed reference cases which cannot always be representative for all building types and ages.
Some of these tables can be very voluminous, e.g.:
· Solar shading factors (for overhangs or other shading objects): shading reduction factors per location, orientation and tilt, per month (provided in EN ISO 52016-1 for only a few selected cases). In the hourly calculation method it takes only a few equations (provided in EN ISO 52016-1).
· Movable solar shading provisions: for each set of criteria for open/closed: pre-calculated tables with time-average (weighted) reduction factor for the solar energy transmittance of windows per location, orientation and tilt, per month (provided in EN ISO 52016-1 for only a few selected cases). In the hourly calculation method the choice between properties for “open” and properties for “closed” are simply determined hourly, on the basis of the criteria for open/closed (provided in EN ISO 52016-1).
In the monthly method, the interaction between the calculation of the energy needs and the system energy use can lead to the need for several additional correction factors. And it is often difficult to predict to what extent these might be neglected, because that will depend on the specific situation.
For example: preheating and precooling in an air handling unit to a constant supply air temperature (output): see Figure 5: the fluctuating outdoor temperature leads to momentary preheating followed by momentary precooling. In the hourly method this is correctly calculated; in the monthly method, when the preheating and precooling is simply based on the average outdoor temperature the energy needs may be significantly underestimated.
Figure 5. Illustration of the need for additional correction factors in the monthly method: the calculation based on the monthly calculation method may strongly underestimate the, preheating and precooling needs in an air handling unit.
As shown in the examples above, for low energy buildings and buildings with dynamically (inter-)acting technologies, the monthly method is no longer the simple transparent method that it used to be. Due to the necessity to introduce several correction or adjustment factors, the original transparency and robustness of the monthly method has been lost: the more of the above mentioned dynamic technologies and processes are included in the monthly calculation method, the less transparent the monthly calculation method becomes, and the more an hourly method becomes transparent.
In case of a simple monthly method the designer's choice for, e.g., applying external movable solar shading, or the quality of the heat recovery unit, or the choice for a bypass in the heat recovery unit, or for comfort cooling, will be based on a highly simplified, very average situation, disregarding the specific impact which is a function of the specific design or given building. There is no level playing field for these techniques.
As a consequence, having a monthly method, the
pressure will increase to come up with tabulated correction factors to
differentiate between specific low and high quality technologies. These
tabulated values are derived by hourly calculation methods, but will make the
monthly method more complicated and less transparent than intended.
By the way, an hourly calculation method does not require that all input quantities and all parts of the calculation are hourly based: if a component has a small impact on the overall result, or if it’s functioning is only a very weak function of the actual conditions, it may assumed to be constant. This applies for instance for the U-value of building elements, but also for several components in the technical building systems.
More information on the set of EPB standards, with extensive background information and explanation, is provided at the website of the EPB Center [9].
One of the recently added features of the website is a complete overview of all EPB standards and their accompanying technical reports (http://epb.center/support), with information how the documents can be obtained. At each document a link is provided to the page in the ISO catalogue or CEN database where a summary and other information on the document can be found.
The set of Energy Performance of Buildings (EPB) standards has been published in summer 2017. For the calculation of the energy performance the overarching EPB standard (EN ISO 52000-1) lists different options for the time interval: hourly, monthly, seasonal, yearly and bin. This article provides some background information why an hourly calculation time interval is recommended.
In case of low energy buildings and in case of
modern high performance technologies that are sensitive for the dynamic
conditions and dynamic user requirements a well-chosen hourly calculation
method is more transparent, more accurate and not necessarily more complex than
a simple monthly method.
The
claim that the monthly method can be useful for simple cases, like for existing
residential buildings, may be true if no mayor energy efficiency improvements
are going to be considered. However, this is in strong contrast with the energy
saving policy we are committed to.
[1] EN ISO 52000-1:2017, Energy performance of buildings – Overarching EPB assessment – Part 1: General framework and procedures.
[2] CEN ISO/TR 52000-2:2017, Energy performance of buildings – Overarching EPB assessment – Part 2: Explanation and justification of ISO 52000-1.
[3] EN ISO 52016-1:2017, Energy performance of buildings –
Energy needs for heating and cooling, internal temperatures and sensible and
latent heat loads – Part 1: Calculation procedures.
[4] CEN ISO/TR 52016-2:2017, Energy
performance of buildings – Energy needs for heating and cooling, internal
temperatures and sensible and latent heat loads – Part 2: Explanation and
justification of ISO 52016-1 and ISO 5207-1.
[6] Dick van Dijk, Marleen Spiekman & Linda Hoes – van Oeffelen, EPB standard EN ISO 52016: Calculation of the building’s energy needs for heating and cooling, internal temperatures and heating and cooling load, REHVA Journal, Vol. 53, Issue 3, May 2016.
[7] Dick van Dijk & Marleen Spiekman, EN ISO 52016 and 52017: Calculation
of the building's energy needs for heating and cooling, internal temperatures
and heating and cooling load, REHVA Journal, issue: "EPB standards published for formal
vote", Vol. 53, Issue 6, December 2016.
[8] Dick van Dijk, Spotlight on the EN ISO 52000 family of EPB standards, The REHVA European HVAC Journal, Volume 54, Issue 6, December 2017.
[9] The EPB Center: see website: http://www.epb.center.
The strongest interest is in those EPB standards that are ‘collectively’ needed to calculate the overall energy performance, either for existing buildings, for new buildings or for new building designs.
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