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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
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
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.
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.
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.
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.

REFERENCES
Department of Trade and Industry (DTI); “Our Energy Future – creating a low carbon
       economy”, UK Government, the stationary office, Norwich, 2003.
Department of the Environment, Food, and Rural Affairs (DEFRA); “UK Market
       Transformation Programme”, the UK Government, London 2002.
Dunn GN, Knight IP; “Evaluation of Heat Gains in UK Office Environments”, Worldwide
       CIBSE / ASHRAE Gathering of the Building Services Industry, Edinburgh, 24-26
       September 2003. ISBN 1-903287-43-X.
Dunn GN, Knight IP, Hitchin R; “Measuring System Efficiencies of Liquid Chiller and Direct
       Expansion”, The ASHRAE Journal, Vol. 47, No. 2, February 2005, pp. 26-32.
Knight IP & Dunn GN; “Air Conditioning Energy Efficiency in UK Office Environments”,
       International Conference on Electricity Efficiency in Commercial Buildings, Nice,
       France, (2002) pp. 8.
Knight IP, Dunn GN; “The Potential for Reducing Carbon Emissions from Air Conditioning
       Systems in UK Office Buildings”, International Conference on Electricity Efficiency
       in Commercial Buildings, Frankfurt, Germany, 21-22 April 2004.
Knight IP, Dunn GN; “Measured Energy Consumption & Carbon Emissions of Air-
       Conditioning and Heat-pumps in UK Office Buildings”; Building Services
       Engineering Research & Technology, CIBSE, Issue 26-1, London, March 2005.
Pout CH, Hitchin ER; “The potential impact of air conditioning on UK carbon emissions in
       the next 20 years”, 2nd International Conference on Improving Electricity Efficiency
       in Commercial Buildings, Nice, May 2002.

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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. REFERENCES Department of Trade and Industry (DTI); “Our Energy Future – creating a low carbon economy”, UK Government, the stationary office, Norwich, 2003. Department of the Environment, Food, and Rural Affairs (DEFRA); “UK Market Transformation Programme”, the UK Government, London 2002. Dunn GN, Knight IP; “Evaluation of Heat Gains in UK Office Environments”, Worldwide CIBSE / ASHRAE Gathering of the Building Services Industry, Edinburgh, 24-26 September 2003. ISBN 1-903287-43-X. Dunn GN, Knight IP, Hitchin R; “Measuring System Efficiencies of Liquid Chiller and Direct Expansion”, The ASHRAE Journal, Vol. 47, No. 2, February 2005, pp. 26-32. Knight IP & Dunn GN; “Air Conditioning Energy Efficiency in UK Office Environments”, International Conference on Electricity Efficiency in Commercial Buildings, Nice, France, (2002) pp. 8. Knight IP, Dunn GN; “The Potential for Reducing Carbon Emissions from Air Conditioning Systems in UK Office Buildings”, International Conference on Electricity Efficiency in Commercial Buildings, Frankfurt, Germany, 21-22 April 2004. Knight IP, Dunn GN; “Measured Energy Consumption & Carbon Emissions of Air- Conditioning and Heat-pumps in UK Office Buildings”; Building Services Engineering Research & Technology, CIBSE, Issue 26-1, London, March 2005. Pout CH, Hitchin ER; “The potential impact of air conditioning on UK carbon emissions in the next 20 years”, 2nd International Conference on Improving Electricity Efficiency in Commercial Buildings, Nice, May 2002.