Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Auditac carbon and cooling in uk office environments dunn knight
1. CARBON AND COOLING IN UK OFFICE ENVIRONMENTS
G.N. Dunn1* and I.P. Knight2
1
The Association of Building Engineers, Lutyens House, Billing Brook Road, Weston Favell,
Northampton, NN3 8NW, UK.
2
The Welsh School of Architecture, Cardiff University, Bute Building, King Edward VII
Avenue, Cardiff, CF10 3NB, UK.
ABSTRACT
This paper discusses the latest results and development from an ongoing programme of
research by the Welsh School of Architecture, studying the energy performance of air
conditioning systems used in Offices in the UK. Over the past five years major field energy
monitoring studies conducted in association with industry partners have established a
considerable knowledge of the energy performance of air conditioning systems in practice.
Based on the expertise and extensive empirical air conditioning performance data already
obtained further analysis is being undertaken to ascertain the effect of the building fabric on
the loads experienced by the AC systems studied. This is the final piece of research needed to
draw firm conclusions about what aspects of buildings, building services, their design and use
have the greatest effect on air conditioning energy performance, and hence atmospheric
carbon emissions, in the UK context. Many of the findings will have application at a
worldwide level as the results can be used to validate existing or proposed design models and
legislative control mechanisms.
The results obtained from this research are also contributing to the ‘Field Benchmarking and
Market Development for Audit methods in Air Conditioning’ (AUDITAC) project, a Europe
wide consortium project being undertaken on behalf of the European Commission.
INDEX TERMS
Air Conditioning, Energy Efficiency, Carbon Emissions, Monitoring, Modelling, Europe, UK.
INTRODUCTION
While the energy consumption and atmospheric carbon emissions from most building related
services are falling, in the UK those associated with air conditioning (AC) are growing as
more buildings become air conditioned (Pout 2002) due to increasing occupant expectations
of thermal comfort. This growth in carbon emissions conflicts with national commitments to
reduce greenhouse gas emissions, under the Kyoto protocol and the UK Government’s
additional goal to reduce emissions by 60% before 2050 (DTI 2003).
In practice, resolving this conflict is likely to involve the use of cleaner energy supplies,
improved integration of building and services design and promoting the use of highly energy
efficient AC systems. In order to achieve the latter, clear guidance on the appropriate use of
AC and which systems are the most energy efficient in practice, is urgently required.
A series of field energy monitoring studies of AC systems undertaken by the Welsh School of
Architecture over the past five years has started to answer many of the questions required to
*
Corresponding author email: gavin.dunn@abe.org.uk OR www.cardiff.ac.uk/archi/programmes/dunng2
2. establish which AC systems are the most efficient in practice. This monitoring also
established an extensive database of empirical AC energy performance data.
Building on this data the Welsh School of Architecture, in association with the Association of
Building Engineers (UK), are undertaking further research to ascertain the effect of the
building fabric loads on the performance of the AC systems studied. Combining this with the
detailed energy performance data already collected will enable the research to draw firm
conclusions on which aspects of buildings, building services, their design and use have the
greatest effect on AC energy performance, and hence atmospheric carbon emissions, in the
UK context.
This paper provides an overview of the findings from the field energy monitoring studies
already undertaken and explores the methods likely to be employed as the work is further
developed, as well as, the eventual outcomes from the research.
OVERVIEW OF FIELD MONITORING RESULTS
The field monitoring studies undertaken so far include a major independent study that
monitored the energy consumption in over 30 comfort cooling systems ‘as found’ in actual
UK office buildings, which monitored all cooling energy consumption at 15 minute intervals
over a three year period, as well as, a more detailed monitoring study that studied a number of
systems in greater detail. A number of papers on this research have been published to date by
the authors (Knight 2005, Knight 2004, and Knight 2002).
The overall aims of this research were to answer the following major questions:
• How Carbon efficient is our current AC systems in real buildings?
• Are some AC systems inherently more carbon efficient than others in practice?
• By how much is it possible to improve the average carbon performance of AC systems
in UK Offices using currently installed AC technology?
The cooling energy demand profiles obtained from this monitoring are presented in Figure 1,
which shows the average week-day daily energy consumption taken over the two consecutive
summers of 2001 and 2002 for each of the generic systems. These profiles are relatively
consistent between systems, with all systems showing an early morning start up load and a
peak afternoon load, though it is apparent that the Chilled Ceiling (red) systems consumed
substantially less energy per m2 to meet the comfort cooling loads encountered in the offices
studied.
Average July weekday comfort cooling energy consumption profile Range & Average July Weekday ILPR by System Type
35 9.0
30 8.0
25 7.0
20 6.0
W/m2
5.0
ILPR
15
4.0
10
3.0
5
2.0
0
1.0
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
0.0
All-air Fancoils Chilled DX Split VRF/VRV Unitary HP
All-Air (n=6) Fancoils (n=6) Chilled Ceilings (N=4)
(n=6) (n=6) ceilings (n=8) (n=4) (n=1)
DX Splits (n=8) DX VRF/VRV (n=4) Unitary (n=1) (n=4)
Figure 1. Average weekday cooling energy Figure 2. Average weekday cooling efficiency
consumption profiles by system type (ILPR) by system type
3. The data shown in figure 2 normalises the measured consumption for the internal heat gains
encountered per m2 in the offices monitored. The result is a dimensionless term we have
chosen to call the Internal Load Performance Ratio (ILPR). The figure clearly shows that
Chilled Ceiling type systems still consumed less than half the energy per m2 of the next most
efficient system type and this result is reflected in the annual energy consumption data shown
in Figures 3 and 4, for the cooling-only and reverse-cycle systems respectively.
Cooling Only Systems Annual Energy Consumption Reverse Cycle Systems Annual Energy Consumption
Vs National Benchmarks for Office Energy Use Vs National Benchmarks for Office Energy Use
200 300
kWh/m2 kWh/m2
Good Practice 250
150 Typical Practice
Typical Practice 200 Good Practice
kWh/m2
kWh/m2
100 150
100
50
50
0 0
Site 10 - Chilled Ceiling
Site 11 - Chilled Ceiling
Site 8 - Chilled Ceiling
Site 9 - Chilled Ceiling
Site 23 - Chilled Ceiling
Site 17 - DX Split
Site 18 - DX Split
Site 19 - DX Split
Site 20 - DX Split
Site 21 - DX Split
Site 22 - DX Split
Site 32 - Unitary HP
Site 12 - Fancoils
Site 13 - Fancoils
Site 14 - Fancoils
Site 15 - Fancoils
Site 16 - Fancoils
Site 28 - VRF HR
Site 29 - VRF HR
Site 30 - VRF HR
Site 31 - VRF HR
Site 1 - All-Air
Site 2 - All-Air
Site 3 - All-Air
Site 4 - All-Air
Site 5 - All-Air
Site 6 - All-Air
Site 7 - All-Air
Site 25 - DX Split
Site 26 - DX Split
Site 27 - DX Split
Site 24 - Fancoils
Note: Cooling energy consumption Note: Heating & cooling energy consumption
Figure 3. Cooing-only systems measured annual Figure 4. Reverse-cycle systems measured annual
energy consumption energy consumption
In the work undertaken so far, the effect of fabric and solar gains on the load imposed on each
system have yet to be analysed, but it is the authors belief that even with these loads
accounted for the Chilled Ceiling systems will still hold a clear efficiency advantage over the
other systems tested. This belief has been reinforced by the modelling results of AC seasonal
energy performance by other research (Dunn 2005).
One of the other important Table 1. Average annual run-hours by system type
findings from the study is that System type Cooling only Reverse cycle
control of the systems was patchy, (hours) (hours)
as the run-hours of many systems, All-Air 4904 n/a
shown in Table 1, bore no relation Fancoils 4686 7073
to the times they were actually Chilled ceilings 3180 5308
required. On average the DX Split 6560 4136
monitored systems ran twice as DX VRF n/a 6960
long as conservative estimates of All 4919 5848
the occupancies served suggested
they were needed. The data
Example Fancoil System Part-load Profile
suggests that 50% energy and 25%
Carbon savings appear feasible 20%
% of Time
15%
from effective time control alone.
10%
5%
Analysis of chiller part-load 0%
95-100%
10-15%
15-20%
20-25%
25-30%
30-35%
35-40%
40-45%
45-50%
50-55%
55-60%
60-65%
65-70%
70-75%
75-80%
80-85%
85-90%
90-95%
5-10%
1-5%
profiles revealed that virtually all
the systems were oversized for the
System Load (% Full-Load)
loads they actually encountered in
practice. An example chiller part Figure 5. Example measured part-load frequency profile
load profile is shown in figure 5.
4. Typically the systems studied had at least twice the peak capacity required during the study,
since few of the systems ran for any length of time at more than half their rated maximum
output leading to reduced system efficiency as well as increased capital and running costs.
Although further work is required to establish by how much oversizing affects the efficiency
and costs of the systems, one conclusion must be that current load estimation and sizing
methods are over estimating the loads actually encountered in UK practice and the data
suggests that this is certainly the case as the research has shown that current design standards
for UK offices do indeed appear to over estimate internal heat gains and only really apply at
the highest occupant densities. (Dunn 2003)
NATIONAL CARBON EMISSIONS FROM COOLING
The implications of this research to the prediction of UK carbon emissions from air
conditioning, is illustrated in figure 6, which shows predicted UK carbon emissions from air
conditioning up to the year 2020 using current UK Government market growth and electricity
carbon intensity estimates (DEFRA 2002). Three possible scenarios are presented:
• Scenario 1: assumes no Projected UK Carbon Emissions from Air Conditioning
1.0
major change to the way
0.9
we currently use air
0.8
conditioning
0.7
• Scenario 2: assumes all
MtC
0.6
new systems from 2005
0.5
onwards are as efficient as
0.4
the most efficient systems
0.3
currently available
• Scenario 3: assumes all 0.2
2000
2005
2010
2015
2020
AC systems, both new and
Scenario 1: Business As Usual
existing, are progressively Scenario 2: All New Systems Most Efficient Available
replaced with the most Scenario 3: Progressive Replacment of Existing Systems
efficient currently
Figure 6. Projected UK carbon emissions from comfort
available
cooling air conditioning
Scenario 3 shows that, if all AC systems were able to perform to the level of the most efficient
systems currently available then Carbon emissions from cooling could be reduced by 58%
from 2000 levels, despite the projected increased use of AC over this period and without
major change to the carbon intensity of national electricity supply.
FABRIC-SOLAR LOADS AND ENERGY PERFORMANCE
To refine the conclusions from the analysis already undertaken, the next stage of the study is
to thermally model the buildings already monitored to establish the solar and building fabric
loads experienced by the AC systems.
By combining the empirical field energy consumption data, thermal building modelling, and
actual weather data this research will be able to assess the integrated energy performance and
AC efficiency of each building and system, taking into account the heating and cooling loads
served, occupancy and management regimes, as well as the efficiency of each AC system in
practice.
5. Therefore the primary METHOD FOR CALCULATING AC SYSTEM EFFICIENCY:
output of this research THE UK OFFICE AIR CONDITIONING ENERGY PROFILING STUDY
will be an “in practice
system cooling BUILDING SURVEY: DYNAMIC SYSTEM
• Form THERMAL EFFICIENCY:
efficiency ratio” (SERIn- • Fabric MODEL:
pract) calculated from • System System efficiency =
the measured cooling • Controls Calculates calculated kW cooling
• Occupancy instantaneous provided divided by kW
system energy cooling load per energy consumed by
consumption and interval of refrigeration and
REGIONAL meteorological delivery Systems.
modelling of the loads METEOROLOGICAL data.
served within the MONITORING: Allows for the causes of
occupied buildings over • Temperature differences in energy
• Relative humidity consumption between
the monitoring period. • Irradiance sites to be isolated and
This method for identified.
calculating the AC MEASURED ENERGY CONSUMPTION:
system efficiency in • Primary refrigeration & heat rejection
• Delivery components
practice is illustrated in
Figure 7, where: Figure 7. Method for calculating AC system efficiency
• The System Energy Consumption is the measured energy consumption of the entire
system including all the sub-systems involved with servicing the system load obtained
from the field monitoring already undertaken.
• The System Load is the total load served by the system including the internal heat-
gains calculated from occupancy surveys and the fabric and solar loads within the
serviced space as modelled using a dynamic thermal model and weather data for the
same period.
This method will enable us to:
• definitively answer the question of which AC system types were the most efficient in
practice in the Case Study systems monitored,
• provide detailed profiles of the actual cooling loads encountered in UK offices,
• enable individual aspects of each building or system to be isolated to assess their
relative impact on overall energy performance.
These results will, therefore, provide the opportunity to answer a number of important
questions relating to building and services energy performance including; the relevance of
current design guidance to actual buildings and the relative importance of each parameter on
overall building energy and carbon performance. Empirical modelling criteria based on data
from actual buildings to provide reliable and realistic input values, thereby improving design
and research modelling applications. Design advance, able to provide accurate data on which
systems perform best in practice and when in terms of energy consumption and carbon
emissions as well as, underpin life-cycle building and system carbon and cost analysis and
assess the potential for integrated renewable and cogeneration systems.
EUROPEAN AUDITAC PROJECT
The results of all the research described are contributing to a two-year project funded by the
European Commission’s Intelligent Energy Europe programme and aims to increase the take-
up of system and building energy efficiency upgrades by developing, and encouraging the use
of energy auditing procedures for AC systems and case studies that demonstrate the
achievable benefits.
6. CONCLUSIONS
This research has started to answer many of the questions regarding the relative performance
of AC systems in practice and how we service our buildings, while also reducing Carbon
emissions. Overall it is clear that AC systems as currently used in the UK show the potential
for substantial improvements in system Carbon emissions performance, and significantly
these improvements can be accomplished through existing technology.
The field energy monitoring undertaken shows that generic chilled ceiling systems are the
most efficient way of delivering comfort cooling in UK offices, and to a lesser extent direct
expansion (DX) systems also have the potential to be very efficient, but often fail to achieve
their potential performance in practice due to poor operation and control. However, the work
also illustrates good design, plant sizing, maintenance and control practice is equally
important to achieve efficient cooling. Since the majority of systems monitored were
oversized current design standards appear to be contributing to the oversizing by
overestimating the loads served. Finally, a 50% saving in emissions appears possible from
time controls alone.
The further developments of this work aim to definitively answer the question of which AC
system types are the most efficient in practice and determine the relative impact of individual
aspects of building and AC system design on the overall energy and carbon performance, as
well as contribute to the European AUDITAC project. This should result in real
improvements to the energy and carbon performance of buildings throughout Europe by
providing the evidence required to fully capitalise on energy audits and inspections.
ACKNOWLEDGEMENTS
The Authors wish to thank the European Commission, the Carbon Trust, National Grid
Transco Plc and Toshiba-Carrier Air Conditioning UK Ltd. for their funding of this research.
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