Environmental Performance of A Naturally Ventilated City Centre Library
Environmental Performance of A Naturally Ventilated City Centre Library
www.elsevier.com/locate/enbuild
Abstract
To tackle climate change it is essential to reduce carbon dioxide emissions. To this end, it is important to reduce the energy demands of non-
domestic buildings. Naturally ventilated buildings can have low energy demands but the strategy is difficult to implement in deep plan, urban
locations. The Frederick Lanchester Library at Coventry University, UK, incorporates natural ventilation, daylighting and passive cooling
strategies. By using lightwells and perimeter stacks to supply and exhaust air, it can be ventilated by natural means despite its deep plan form and
sealed façade. This paper describes the building and presents the energy consumption and the internal temperatures and CO2 levels recorded in
2004/2005. The building’s performance is compared to the original design criteria and good practice guidelines. Recommendations for the design
of such buildings are made and the likely performance in other UK cities is assessed. It is concluded that the building uses under half the energy of a
standard air-conditioned building and yet, in summer, can keep the interior comfortable and up to 5 8C below ambient. The design would perform
equally well in the typical weather conditions experienced at 13 other UK cities, but not in London. It is concluded that deep-plan, naturally
ventilated buildings with sealed facades, if well designed, could maintain thermal comfort in all but a very few UK locations, whilst consuming
much less energy than even good practice standards.
# 2007 Elsevier B.V. All rights reserved.
Keywords: Building design; Natural ventilation; Energy efficiency; Monitoring; Temperatures; CO2
Fig. 3. Sections through the building showing (a) the central exhaust lightwell and stacks and (b) the supply lightwells.
794 B. Krausse et al. / Energy and Buildings 39 (2007) 792–801
fins (see Fig. 1). This helps to reduce the risk of overheating and for night-time cooling is based on the BEMS’s self-learning
improves the effectiveness of the natural ventilation system. algorithm to ‘predict’ the likely (passive) cooling requirement
Since the library is used for a variety of purposes, the basic for the next day. Over-cooling is prevented by monitoring slab
square open plan floor layout has been adapted to provide a temperature.
range of suitable spaces. All floors remain predominantly open The building has been a marked success, with students and
plan, with a significant area taken up by book stacks (apart from library staff reportedly enjoying learning and working in the
the ground floor, which serves as an unofficial meeting place space. In addition to the 2500 entries per day, which it was
and provides access to the issue desks and main staff offices). initially designed for, the building attracts a large number of
Internal partitions create additional spaces. On each floor a ‘visitors’ who use it as a stop-over between lectures, increasing
number of zones with different occupancy and usage the daily throughput to 5000.
characteristics can therefore be identified, such as open plan
area with book shelves, silent study rooms, group study rooms, 3. Predicted performance
study desks with and without PCs (open plan), print and
photocopy rooms and offices (see for example Fig. 4). The main challenge in the design of naturally ventilated
The building is controlled by a Building Energy Manage- buildings in the UK is to provide comfortable indoor
ment System (BEMS) which operates dampers and windows temperatures during periods with high external temperatures.
depending on indoor and outdoor temperatures, wind speed and The dynamic thermal simulations carried out during the design
direction, and CO2 concentrations inside the library. Ventilation phase, using ESP-r [12] and the Kew67 weather data [13],
Fig. 4. Floor plan of the second floor showing the location of BEMS temperature and air quality sensors (each circle represents a sensor pair: one temperature and one
CO2 sensor). Data from sensor pairs A–D are currently logged while data from the other sensors (S) are currently not logged but may be included in further monitoring
phases.
B. Krausse et al. / Energy and Buildings 39 (2007) 792–801 795
indicated that the passive cooling and ventilation methods This paper makes opportunistic use of these data. However,
should be sufficient to provide comfortable conditions inside since the sensors from which data have been logged were not
the library even during the hottest periods. In their description chosen with performance analysis in mind, the data available do
of the operating concept Cook et al. state that ‘‘dry-resultant not allow a thorough statistical analysis. This paper will thus
temperatures would always be below 28 8C and that 27 8C use time series plots and summary statistics to evaluate the
would be exceeded for only 11 h of the year’’ [5]. Refined building’s thermal and ventilation performance. It is worth
BEMS controls (not simulated) were expected to ‘‘be capable noting, however, that additional BEMS sensors have recently
of reducing internal temperatures even further’’. been selected for data logging to aid future performance
These performance indicators suggest that the building analyses and to provide further explanations of the initial results
should satisfy the recently published overheating criterion presented in this paper.
published by the Chartered Institution of Building Services
Engineers (CIBSE), that: 4.2. Temperature sensors
dry resultant temperature should not exceed 28 8C for more The temperature sensors are designed to monitor air
than 1% of the occupied hours (CIBSE Guide A [14] and temperature. However, due to the close proximity of the
TM36 [15]); sensors to the wall surface, the logged temperature values may
not be equivalent to the true air temperature in the space and can
and may well also satisfy the criterion that: thus only be used as indicators for the conditions experienced
by the occupants. In order to quantify the relationship between
dry resultant temperature should not exceed 25 8C for more the sensor readings and parameters typically used to assess
than 5% of the occupied year (CIBSE Guide J [16]). thermal comfort, short-term monitoring studies are currently
being carried out. These include the measurement of operative
During the design phase, alternative design propositions temperature, PPD, PMV, air velocity and humidity. Once
were considered from a variety of view points, including cost, available, these data can be used to determine whether, and how
efficiency of space use, legibility of floor layouts, etc. The accurately, the BEMS temperature readings relate to the air
annual space heating and lighting energy use for each design temperature levels experienced by the occupants.
was also estimated, using the LT method [17]. This method is It is further worth noting that the CIBSE overheating
intended for comparison of design alternatives rather than for criteria, used here for performance assessment, are based on
reliably estimating actual energy demands. dry resultant temperature (DRT) as their target parameter. It is
It is interesting to see whether the measured internal tempe- probable that, during the summer days, the DRT is lower than
ratures concur with the predicted values and to compare the actual the air temperature because the thermal mass will have been
energy use with that which is typical of other building types, most cooled during the night. Therefore, it is likely that the
notably air-conditioned buildings—air conditioning is the frequency of occurrence of high temperatures as measured by
‘standard’ approach to conditioning a sealed, deep plan building. the BEMS sensors is an overestimate of the actual frequency
of occurrence of high dry resultant temperatures, i.e. the
4. Monitoring of temperature and CO2 levels building may actually perform better than the results
presented in this paper indicate. Further work is underway
4.1. BEMS sensors to clarify this matter.
In order to ensure comfortable internal conditions for all 4.3. CO2 sensors
occupants, the BEMS must be able to control ventilation and
temperatures in the different zones, i.e. open plan areas as well The BEMS air quality sensors log CO2 concentrations at
as enclosed study room and offices. Therefore, a large number hourly intervals. Inspection of the logged data showed that
of sensors are distributed throughout the space (Fig. 4). some CO2 sensors read consistently higher than others.
Based on readings from these sensors, individually However, comparison of the time series traces showed that
controllable dampers are adjusted to provide ventilation for the overall shapes of the profiles of all the sensors matched well
thermal comfort and air quality in each zone. In addition to their and that the values for individual sensors decreased to a
function as part of the building control system, the sensors can consistent minimum value over night. Considering that internal
contribute to the assessment of the building’s performance if CO2 concentrations during unoccupied periods (e.g. over night)
their readings are continuously logged. For a comprehensive are likely to be equivalent to the ambient CO2 concentration, it
analysis, long term monitoring data are required for a variety of was assumed that minimum values which exceeded the ambient
zones, ideally from all sensor locations. However, logged data concentration were in error due to calibration drift. The data
is currently only available for a limited number of BEMS from these sensors were therefore adjusted by an offset value so
sensors. Temperature and CO2 data, for example, are available that the baseline values of all sensors matched that of the sensor
for two locations on the ground and third floors, and four with the lowest baseline readings, i.e. night-time values of
locations on the second floor. Logged data for the first floor approx. 360–370 ppm, which is equivalent to typical back-
includes temperature only for three locations. ground CO2 concentrations [18].
796 B. Krausse et al. / Energy and Buildings 39 (2007) 792–801
Fig. 5. Internal and external temperatures during the monitoring period (June
2004–June 2005).
third floor and the ground floor, whilst on the first floor
temperatures remained below 25 8C throughout the entire
monitoring period. However, even on the third floor the CIBSE
2002 overheating criterion (less than 5% of occupied hours over
25 8C) was met, with temperatures greater than 25 8C only
occurring during 3.8% of the hours of use. The internal
temperatures never exceeded 27 8C, i.e. less than the 11 h
predicted at the design stage; which confirms the expectations
stated by Cook et al. [5] – that with intelligent BEMS control a
better building performance can be achieved than the
simulation results suggested.
Clearly the building meets the current CIBSE 2005/2006
criterion [14,15] that less than 1% of occupied hours should
exceed 28 8C.
Fig. 8. Example time series for all floors and ambient during moderate summer 7. Spatial variability of temperature and CO2 levels
weather.
greatest height of ventilation stack, and thus the greatest In order to investigate whether uniform conditions are
buoyancy driving forces, having the greatest night-time achieved across the deep plan library floors, time series data
temperature reductions. Regarding the other three floors, the from different locations on the second floor are compared.
third floor tended to be warmer than the second, which was Data for temperature and CO2 levels is available for a 6-
warmer than the first. Considering the relative stack heights on week period in summer 2005 (10 May–22 June 2005) from four
each of these floors, and yet their similar occupancy sensor pairs at locations A–D, as shown in Fig. 4. Sensors at A,
characteristics, this is perhaps to be expected. It reinforces C and D are located above study desks (without PCs) around the
the notion that it is the top floors of naturally ventilated side walls of the building, aligned with perimeter ventilation
buildings that are the most susceptible to overheating. stacks. The sensors at location B are located on an internal wall
Towards the end of the warm spell (Fig. 8), when ambient near the lift adjacent to the entrance door. All sensors are
temperatures generally stayed below 25 8C, the pattern of installed at a height of 1.5 m.
internal temperatures returned to that described above: daytime Time series plots, such as the 2-week plot in Fig. 9, clearly
peaks of around 24 8C and night-time minima of 21 8C. It is illustrate the different variability of the temperatures and CO2
interesting to note, however, that during this period, it is the concentrations. Although both parameters are influenced by
temperature profiles for the first and second floor that are very ventilation settings and occupancy levels, the CO2 curves show
similar. The third floor and ground floor are warmer, by 1 8C, distinct peaks, usually in the early afternoon, while the
perhaps because, on the third floor, the night ventilation cooling temperature curves rise throughout the day before decreasing
is less effective due to reduced stack height. The ground floor sharply at night due to the night-time venting strategy.
result is unexpected but could be due to a number of factors: The plots showed that there were slight temperature
observations from site visits and anecdotal evidence (from library differences across the floor during the period investigated.
staff) indicate that the ground floor is more densely occupied than Temperatures seem to be typically higher at locations A and B
anticipated, which, together with office partitions which act as a than at locations C and D, the average difference between A and
barrier to airflow, will lead to higher temperatures. It is also D being 0.52 8C. This could be due to movement of people
possible that modifications of the BEMS sensors and controls are through the doors leading to the main staircase causing an
required. Future monitoring studies will investigate this issue. exchange of air into the adjacent zones where sensors A and B
are located. It is interesting to note however that this pattern
6. Comparison of measured thermal performance with sometimes changes, with temperatures at location D rising to
guidelines and predictions similar levels as A while temperatures at the adjacent location C
remain lower. A likely cause is that there is a rather localised
The overheating statistics (Table 1) show that the effect of desk users on temperature levels in the close proximity
temperature levels most frequently exceeded 25 8C on the of sensor D. The presence of people at the desks below the
Table 1
Number of hours during which various temperature thresholds were exceeded between 26 June 2004 and 24 June 2005 during the occupied period
Guideline temperature (8C) Number of hours over stated temperature (h)/percentage of occupied hours over stated temperature (%)
Ambient Ground floor First floor Second floor Third floor
25 149 h/4.1% 78 h/1.95% 0 h/0% 32 h/0.8% 152 h/3.8%
27 73 h/2.0% 0/0 0/0 0/0 0/0
28 48 h/1.3% 0/0 0/0 0/0 0/0
798 B. Krausse et al. / Energy and Buildings 39 (2007) 792–801
Fig. 9. Temperature and CO2 levels measured at locations A–D on the second floor during the period 30 May 2005–12 June 2005.
sensor will warm the air and cause it to rise up towards the comparison for the whole building is possible, by presenting the
ventilation openings of the perimeter stack, i.e. vertically past library and benchmark data normalised by both floor area and
the sensor location, while sensor C on the adjacent stack (7 m period of occupancy (Table 2).
away) is likely to register little change in temperatures if the With an annual consumption of 0.049 kWh/(m2 h), the
desks directly below it are unoccupied. building performs significantly better than recommended in the
A similar observation can be made for the CO2 concentra- ECON19 good practice guidelines for office buildings [20]
tions. While the profiles of the data from the three sensors seem (Fig. 10). The building uses 51% less energy than the typical
to match in general, concentrations at one location occasionally air-conditioned building and 35% less than the typical naturally
increase significantly above the levels measured at the other ventilated open plan building. In fact, the Lanchester Library
locations. This often coincides with elevated air temperature at also performs better than an office building built to the good
the same location. Again, increased occupancy density at the practice standard for naturally ventilated open plan offices.
desks near the sensors is thought to be a likely reason for these
peaks. 9. Likely performance in other UK cities
The CO2 concentrations for occupied periods during the 6
weeks investigated were typically between 400 and 500 ppm, By comparing the weather data recorded in Coventry with
with occasional peaks of up to around 700 ppm. The maximum that for other UK location it is possible to infer how the the
CO2 concentration recorded was 720 ppm, which is below the library would perform at these other locations, and in particular
limit of 1000 ppm recommended for school buildings [19]. whether acceptable internal comfort conditions would be
These preliminary investigations suggest that the natural achieved. The UK CIBSE has recently produced weather data
ventilation strategy is working well, ensuring a sufficient
supply of fresh air and providing relatively uniform conditions
Table 2
across the second floor. More comprehensive monitoring
Energy consumption of library in 2004
campaigns, using additional sensors located throughout the
zones and covering a wider range of operating conditions and End use
comfort parameters, will reveal whether comfortable indoor Heating Electricity Cooling
conditions are consistently achieved. Total annual consumption (MWh) 1117 1012 205
Consumption per m2 (kWh/m2) 95 86 17
8. Energy consumption Consumption per m2 and per occupied 0.024 0.021 0.004
hour (kWh/(m2 h))
The library’s measured annual energy consumption of
electricity and gas for 2004, as determined from meter readings,
was 198 kW/m2. This includes the heating, lighting and power
consumption of the basement and the four levels of the library;
the two cannot be disaggregated. The basement is a computer
suite, accessible 24 h each day, with high power and lighting
loads and so is mechanically cooled. The library itself is
accessible for approximately 4000 h each year.
With this data it is difficult to make comparisons between the
energy consumption of the library and benchmark figures for
purely naturally ventilated buildings; or with energy use Fig. 10. Comparison of the library’s annual energy consumption during 2004
predictions for the library made at the design stage. However, a with ECON19 benchmark values for typical and good practice offices [20].
B. Krausse et al. / Energy and Buildings 39 (2007) 792–801 799
Fig. 11. Comparison of recorded exceedance hours from Coventry with Fig. 12. Comparison of recorded exceedance hours from Coventry with
CIBSE’s Test Reference Year data (TRY) from 14 UK cities. CIBSE’s Design Summer Year data (DSY) from 14 UK cities.
for 14 UK cities with locations ranging in latitude from Plymouth although in the middle of the city, where there is a substantial
and Southampton in the South to Edinburgh and Glasgow in urban heat island affect, comfort may well have been
Scotland and Belfast in Northern Ireland. Close to Coventry, data compromised [24]. The results indicate that the building would
is available for Birmingham and Nottingham. The other cities are also have maintained comfort during hot years (i.e. those that
Cardiff (Wales), Leeds, Manchester and Newcastle in the North are only exceed for 1 year in 10) at all locations except perhaps
of England, Norwich in the East, and Swindon and London in the Birmingham, Leeds and London. It is worth noting however,
South East. For each city there is a Test Reference Year (TRY), that the library performed well within the overheating criteria
which typifies conditions experienced at the site, and a Design limits and so it may well tolerate the higher temperatures
Summer Year (DSY) that is intended for use in analyses to assess experienced in Birmingham and Leeds in 1 year in 10.
the risk of summertime overheating in naturally ventilated
buildings. The TRYis composed of 12 individual months chained 10. Recommendation for designers
together, where each month is the most typical of that
experienced during a 20-year period, and the DSY is the third Whilst the library has performed well there are a number of
hottest year in the 20-year period, i.e. there is only 1 year in 10 recommendations that flow from the study that might assist the
that is likely to be hotter. The derivation of the years and some of designers of future buildings of this type. These are, in addition
their characteristics have been presented by others elsewhere to those commonly adopted in low energy building design (e.g.
[16,21–23]. exposed thermal mass and night-time ventilation, solar shading,
The total number of hours for which the recorded ambient high levels of insulation, good glazing specification, maximis-
temperature in Coventry exceeds various temperatures1 is ing daylighting):
compared with the corresponding values for the 14 TRYs and
DSYs in Figs. 11 and 12, respectively, with the number of hours
Table 3
over 25, 27 and 28 8C being listed in Tables 3 and 4. It is evident Number of hours for which various ambient dry-bulb temperature thresholds
that the Coventry temperatures show a similar trend to the TRY were exceeded at Coventry and in each CIBSE Test Reference Year
data but that that the number of hours with temperatures over
City Temperature threshold (8C)
30 8C is greater than in any of the other 14 cities. In the 26–
29 8C range, the Coventry temperatures exceed those for all 25 27 28
a
locations except London (Fig. 11). Comparing the Coventry Coventry 162 79 52
data with the DSYs, it can be seen (Fig. 12) that Coventry was Belfast 0 0 0
warmer in the range 26–29 8C than all but three of the other Birmingham 71 30 14
Cardiff 13 1 0
cities (Birmingham, Leeds and London) but only Leeds and Edinburgh 6 0 0
London had a higher occurrence of temperatures above 28 8C. Glasgow 0 0 0
Given that in Coventry the library satisfied all three of the Leeds 51 5 2
overheating criteria considered (Table 1), we may conclude that London 106 42 28
the building would have maintained comfort in 13 of the 14 UK Manchester 56 22 8
Newcastle 18 3 1
cities in a typical year. It may also have remained comfortable, Norwich 54 24 8
as defined by hours over 28 8C in the London environs, Nottingham 50 3 0
Plymouth 3 0 0
Southampton 46 11 7
1 Swindon 49 13 4
The Coventry hours have been normalised to account for the 679 missing
a
hours in September/October 2004 and January 2005. Year from 26/6/04 to 24/6/05.
800 B. Krausse et al. / Energy and Buildings 39 (2007) 792–801
12. Further work [8] M.J. Cook, C.A. Short, Natural ventilation and low energy cooling of
large, non-domestic buildings—four case studies, The International Jour-
nal of Ventilation 3 (4) (2005) 283–294.
This brief analysis has focused on long term temperature and [9] A. McDonald, Celebrating outstanding new library buildings. Society of
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[11] S. Pidwell, Lanchester Library by short and associates, Architecture Today
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