ASR - Energy Efficient Retrofit of an Unconditioned Bldg

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    Energy-efficient retrofit of an unconditioned institute

    buildingAanchal Sharma

    a, P. S. Chani

    a& S. Y. Kulkarni

    a

    aDepartment of Architecture and Planning, Indian Institute of Technology, Roorkee 247667

    Uttarakhand, India

    Published online: 05 Apr 2013.

    To cite this article:Aanchal Sharma, P. S. Chani & S. Y. Kulkarni (2014) Energy-efficient retrofit of an unconditioned institut

    building, Architectural Science Review, 57:1, 49-62, DOI: 10.1080/00038628.2013.769424

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    Architectural Science Review, 2014

    Vol. 57, No. 1, 4962, http://dx.doi.org/10.1080/00038628.2013.769424

    Energy-efficient retrofit of an unconditioned institute building

    Aanchal Sharma

    , P.S. Chani and S.Y. KulkarniDepartment of Architecture and Planning, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India

    (Received 29 February 2012, Accepted 20 January 2013 )

    The purpose of this study is to demonstrate the energy-efficient retrofitting of an existing unconditioned academic departmentbuilding in the campus of the Indian Institute of Technology, Roorkee, India. It is achieved with the use of energy simulationmodelling to examine the energy-saving benefits of power-consuming equipments, power generation through renewablesources improving thermal comfort through Energy Conservation and Building Code Indias compliance and motivating thebuildings occupants for energy-responsive behaviours. These strategies, when applied together, lead to an overall reductionof 40.4% in the total energy consumption. It was observed that the energy units saved for an unconditioned building aresignificantly lower than that of a conditioned building, but thepercentage changes are comparable for both the types.The heatgain results from simulation software also show that in such buildings external windows account for most of the heat gainwithin the building, whereas uninsulated walls result in heat loss throughout the year. Changes in the operative temperatureof the order of 0.54.0C are observed by proposing a green roof, false ceiling, wall insulation and high performance glass.

    If the same retrofits are applied to all other academic buildings, huge energy savings and cost benefits can be obtained.

    Keywords: energy-efficient retrofitting; unconditioned academic institute building; energy simulation modelling; EnergyConservation Building Code India; composite climate

    1. Introduction

    In India, unconditioned buildings form the largest chunk

    of the existing building stock due to a largely favourable

    climate and a developing economy; particularly in the gov-

    ernment sector. Many of the existing institutional buildings

    are more than 50 years old and were not designed keeping

    energy efficiency in mind. While new building construction

    incorporates state-of-the-art efficient technologies, old con-

    struction continues to perform poorly in terms of its energy

    efficiency (FORESIGHT 2008). This lacuna needs to be

    addressed, particularly in developing countries like India,

    which has a significant pool of such buildings.

    The Indian Institute of Technology Roorkee (IITR)

    is identified as one such campus which is more than

    150 years old and has a spread of about 365 acres. It

    houses about 18 academic departments, 10 hostels, vari-

    ous community and activity centres, sports facilities and

    several heritage buildings. The institute has a total con-

    nected electrical load of 7.3 MW and a contract demand

    of 8.6 MVA. The energy consumption of the institute for

    academic session 20092010 was 18,198 MWh approxi-

    mately. A meagre reduction of 1% in energy consumptionwill roughly save 182 MWh energy units or 144 MT of car-

    bon emissions at a 0.79 tCO2/MWh emission factor for

    India (CO2 Baseline Database for the Indian Power Sector

    2008). Therefore, energy-efficientretrofittingof the existing

    Corresponding author. Email: [email protected] research performed in this article forms a part of the ongoing Doctoral Research of Aanchal Sharma, the first author.

    buildings on the campus can lead to a significant reduction

    in the total energy consumption, which will not only reduce

    the monthly energy costs but also have a positive effect on

    the environment.

    Theprimary effort of this research is to apply therelevant

    energy-efficient solutions to an unconditioned academic

    institute building and to demonstrate any major (or minor)

    energy consumption and carbon emission reductions. The

    academic building of the Department of Architecture and

    Planning (DAP), IITR has been identified as a case study

    for this purpose.

    2. Literature review

    The existing literature show great paucity in energy-

    efficient designs for unconditioned buildings. The building

    energy codes of various countries like the United States,

    India and Canada focus largely on conditioned commer-

    cial buildings and are derived from standards produced

    by the American Society of Heating, Refrigerating and

    Air Conditioning Engineers (ASHRAE) (Evans, Shui, and

    Delgado 2009). In India, Energy Conservation BuildingCode (ECBC) sets the standards for the energy-efficient

    design and construction of commercial buildings with a

    minimum connected load of 500 kW or a conditioned

    floor space of 1000 m2 (Energy Conservation Building

    2013 Taylor & Francis

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    50 A. Sharmaet al.

    Code 2007). ECBC intends to improve the energy effi-

    ciency of the five building systems, viz. building envelope,

    heating ventilation and air-conditioning (HVAC) systems

    and equipments service hot water and pumping, interior

    and exterior lighting and electrical power. Even though it is

    recommended for building types other than commercial as

    well, not all other types of buildings have the requirements

    of HVAC systems and service hot water and pumping.

    A number of authors have also worked on the energy-

    efficient retrofitting models for commercial office buildings

    and propose multiple energy-efficient strategies. Yiquin,

    Rongxin, and Zhizhong (2008) estimated savings of

    7545 kWh/month by proposing a design with a combina-

    tion of a high-efficiency building envelope, high-efficiency

    lighting system and day lighting dimming in the perimeter

    area, and a high-efficiency HVAC system for a resource and

    development centre in Shanghai, China. In another retrofit

    programme, Anne and Neils (2002) predicted substantial

    reductions in thermal and electrical energy by using both

    passive solar and energy conservation techniques for 10European office projects. It is evident that significant work

    has been carried out to improve the energy performance of

    centrallyconditioned offices/commercial buildings: and the

    results show that cost-effective energy savings in the order

    of 2030% can be achieved (Dascalaki and Santamouris

    2002). However, very less text has been found for energy-

    efficient retrofitting of existing unconditioned buildings.

    A research study considering a similar type of uncondi-

    tioned academic institute has been demonstrated by Nashib

    and Mathur (2009) for the Malaviya National Institute of

    Technology Jaipur, India. It discusses the Clean Develop-

    ment Mechanism potential through the introduction of the

    renewable energy technologies like solar water heaters andsolar steam cooking and energy-efficient technologies in

    air conditioning and lighting. However, it does not explore

    the possibility of integrating an energy-efficient building

    envelope with energy-efficient air conditioning and light-

    ing technologies as was done by Yiquin, Rongxin, and

    Zhizhong (2008) for a centrally air-conditioned building.

    Warren and Peter (2008), in their study, have concluded

    that the most effective way to find energy-saving opportuni-

    ties in an unconditioned building is to improve the comfort

    of its primary users as it prevents them from using energy-

    consuming systems. ASHRAE Standard 55 (1992) specify

    the combinations of indoor space environment and personal

    factors that will produce thermal environmental conditionsacceptable to 80% or more of the occupants within a space.

    In 2002, ASHRAE proposed a newAdaptive Comfort Stan-

    dard (ACS) to complement the traditional Predicted Mean

    Vote-based comfort zone (de Dear and Brager 2002). ACS

    is now presented as an optional method for determin-

    ing acceptable thermal conditions in naturally conditioned

    spaces in ASHRAE Standard 55-2004 (2004).

    The European Commission (2006) supported a project

    wherein energy savings from behavioural changes of the

    occupants have been demonstrated in 70 public sector

    buildings. The energy consumption of a building can be sig-

    nificantly rationalized by changing the building occupants

    behavior, and the use of intelligent metering information is

    useful to determine the energy savings.

    Since it is evident that the existing unconditioned build-

    ing stock constitutes a major portion of building construc-

    tion and continues to perform inadequately in its current

    energy and carbon efficiency, it becomes imperative to

    analyse these for energy efficiency.

    3. Methodology

    Based on the findings of the literature review, energy-

    saving opportunities in an unconditioned academic institute

    building have been categorized into four subheads viz:

    (a) Energy conservation by upgrading to efficient

    energy systems;

    (b) Incorporating on-site renewable energy resources;

    (c) Improvisation of thermal comfort; and(d) Rationalizing the building occupants behaviour.

    To comply with the above-mentioned objectives, Design

    Builder simulation software has been identified to pre-

    dict the energy consumption, heat gain through building

    envelope and indoor ambient conditions of the case study

    building. A baseline model is prepared using the case

    studys site data, existing characteristics of information,

    type of construction, operational practices, occupancy pat-

    tern etc. (ECBC Tip Sheet 2009) and then rerun to simulate

    the effect of the proposed changes. The baseline data col-

    lected to model the case study are elaborated in Section

    4.1 and the simulated energy consumption of the buildingand heat gain through the existing building envelope are

    discussed in Sections 4.2 and 4.3.

    ECBC guidelines for the building envelope and the heat

    gain results from simulation softwarehave been used to pro-

    pose retrofits for the building envelope so as to improve the

    thermal comfort within the building. Since unconditioned

    academic institute buildings do not have HVAC and service

    hot water and pumping requirements, ECBC guidelines for

    the same are not being referred to. Any improvement in the

    thermal comfort due to the proposed changes will be anal-

    ysed according to ACS as listed in Section 5.3 of ASHRAE

    Standard 552004 (2004).

    Energy consumption results from simulation modellingbased on end-usage will help in identifying the equipments

    and systems to be upgraded. Once the proposed energy con-

    sumption is determined, the capacity of onsite electricity

    generation through renewable resources will be established.

    This will help to reduce not only the power load on the

    grid but also the carbon emissions associated with the tra-

    ditional power generation methods. To take it a step further,

    a close analysis of the behaviour of the occupants will

    help to create an awareness among them for more respon-

    sible energy-use behaviour. Section 5 elaborates all the

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    Architectural Science Review 51

    energy-conservation measures proposed for the case study

    based on the simulation results and discussions and four

    subheads already categorized in this section.

    4. Baseline model

    To provide an energy-efficient retrofit solution for a build-ing, it is necessary to analyse the existing facilities and

    features. The simulation results of the baseline model pro-

    vide a key foran effective retrofit alternative as a benchmark

    for computing the effect of the changes proposed. The

    baseline data for this case study are discussed in further

    detail.

    4.1. Data collection for development of baseline model

    Roorkee is located in the state of Uttarakhand, India, which

    is in close proximity to the Himalayas and the river Ganges

    and experiences extreme climate conditions, i.e. very hot

    summers and very cold winters, often termed as a com-posite climate (or a humid sub-tropical type of climate).

    The minimum and maximum temperatures in degree Cel-

    sius and total precipitation in millimetres for Roorkee city

    are demonstrated in Figure1(Wikipedia 2012).

    DAP was built in 1961 witha total floor areaof 4330m2

    spread over three floors. It has a rectangular footprint of

    55 m 33 m with its longer axis aligned in the east-west

    direction, a flat roof, a central green court of 26 m 11 m

    and a smaller court of 8 m 6 m with trees planted in them

    (Figure2). Rooms are arranged around the big courtyard

    with the main entry from the east. Facilities utilized by the

    students, i.e. lecture rooms, seminar rooms, design studios

    and computer labs are arranged in the northern part and all

    other facilities like staff rooms,faculty rooms andtoilets etc.

    are located in the southern part of the building (Figure 3).

    The building is naturally ventilated and has few window

    air conditioners. It has a tarred road in the east and a brick

    pavement for parking in the north. It also has a large land-

    scaped area with several trees in the north. In the south, the

    building has a green area with very few trees, and in the west

    it has another department. It has an RCC framed structure,

    and the external walls are 1-brick thick, i.e. 340 mm, with

    plaster on both sides. The southern wall on the first floor is a

    Figure 1. Roorkee climatic chart.

    Figure 2. Site plan of DAP, IITR.

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    52 A. Sharmaet al.

    Figure 3. Zoning plan of DAP, IITR.

    cavitywall construction in brick. Internal wall partitions are

    also in brick and plaster. Windows are in steel frame with

    a single pane clear glass of 6-mm thickness. The building

    roof and floor were originally done in cast-in situ cement

    concrete but later the flooring was topped with carpet and

    vinyl sheets in various rooms.

    In the design builder model (Figure4), DAP is dividedinto a total of 30 zones (Figure3) based on its occupancy

    and usage.

    4.2. Simulated results of energy consumption for

    baseline model

    The electricity data of DAP for the past 3 years reveal an

    average consumption of 49,493 kWh/annum. The annual

    energy consumption of DAP as per the simulation results is

    50,496 kWh, which, when compared with the actual energy

    Figure 4. Design builder model of DAP.

    consumption (Figure5), proves the accuracy of the created

    simulation model and hence can be considered as the base-

    line model and re-simulated to provide the energy-efficient

    retrofit solutions.

    From Figure 5, it is evident that the energy consumption

    is not uniform throughout the year and varies significantlyeach month. It was less than 3000 kWh for the months

    of February, June and November, whereas it was more

    than 5000 kWh for the months of January, April, August,

    September and October. Here, it is worth noting that the

    monthly energy consumption varies for the same weather

    conditions too. For example, in the month of December,

    energy consumption was less than 4000 kWh, but for the

    month of January, it was more than 5000 kWh. Similarly,

    in May and July, it was more than 4000 kWh, but for June

    it was about 2000 kWh. The reason for this monthly fluc-

    tuation of energy consumption is the occupancy pattern of

    the students, staff and faculty of the academic institute. The

    actualoccupancy pattern of thestudentsand staff is shown in

    Figures 6 and7, respectively. Since thestudentsare on vaca-

    tion during the months of March, May, June, July, October

    and December, these months energy consumption shows a

    dip as compared with the months following or preceding

    them (even if falling in the same season). Therefore, in this

    paper, importance is given to the analysis of energy sav-

    ings based on typical daily energy consumption (Figure8)

    because it follows a much regular pattern and is easier to

    analyse.

    The consumption pattern of electricity load based on

    the end usage (Figure 9) shows that lighting consumes 29%

    of total energy, whereas computer and equipments con-sume 24% electricity and other miscellaneous items (fans,

    coolers, heaters, ACs etc.) consume 47% of total energy

    use.

    4.3. Heat gain through the existing building envelope

    In order to improve the thermal comfort in the building,

    heat gain through the existing building envelope is anal-

    ysed for four zones, viz south-east (SE), south (S), west

    (W) and north-east (NE), on all three floors of the building.

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    Architectural Science Review 53

    Figure 5. Annual energy consumption.

    Figure 6. Student occupancy pattern.

    Figure 7. Staff occupancy pattern.

    Heat gain values are not discussed for the SE and W zones

    on the ground floor as they are unoccupied. The findings

    from this section will help to identify the building envelope

    configurations to be retrofitted.

    4.3.1. Roofs

    The simulated heat gain values through the roof for the

    four zones show high heat gain/loss in summers/winters

    (Figure10), which is highly undesirable for composite cli-

    mates. Heat gain/loss can be reduced by insulating the roof

    appropriately (Nayak and Prajapati 2006). Heat gain pro-

    files follow a regular pattern in all the four zones and it is

    evident that the S and NE zones follow a similar profile

    and show higher values of heat gain in summers and lower

    values of heat loss in winters as compared with the W and

    SE zones which show lower values of heat gain in summers

    and higher heat loss in winters.

    4.3.2. WallsFigure 11demonstrates the simulated monthly heat gain

    values through walls. Uninsulated walls result in heat loss

    throughout the year, which is an advantage in summers but

    not desirablein winters ASHRAE Standard55-2004 (2004).

    Net heat loss is highest in the S zone of the second floor and

    varies between 3.27 and 7.24 kWh/m2, whereas heat loss

    is less in the rest of the zones and lies in the range of 2.68

    1.66 kWh/m2. Since the southern walls on the first floor

    have a cavity wall construction, the heat loss is quite low

    as compared with the southern walls on the second floor.

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    54 A. Sharmaet al.

    Figure 8. Comparison of energy savings based on daily usage.

    Figure 9. Distribution of electricity load based on end-use.

    4.3.3. External windows

    Monthly heat gain through exterior windows is shown in

    Figure12and it is evident that most of the heat gain in

    DAP is happening through exterior windows. However, it

    is quite less in the NE zone as compared with the W and SE

    zones of the building. Heat gain through exterior windows

    in the S zone is quite less in summers because of the louvred

    windows, as shown in Figure4.Heat gain through exterior

    windows is much less on theground floor as compared to the

    first and second floors. Heat gain profiles through exterior

    windows for different zones show no correlation with each

    other. For the W zone, it is maximum in the month of June

    (11.48 kWh/m2

    ) and decreases gradually to 5.6 kWh/m2

    inwinters.

    5. Energy conservation measures

    5.1. Upgrading the systems

    If old fans (90 W) are replaced with the new energy-

    efficient fans (50 W) and traditional fluorescent tube lights

    (36 W) with new low-energy T5 light fittings (14 W), the

    annual energy consumption will reduce by 24.13%, i.e.

    14,719 kWh/annum over the baseline model (Figure13).

    The change in daily energy consumption after

    retrofitting the fans and lighting systems (Figure8) shows

    that the energy consumption of a typical summer workingday will dip from 264 to 183 kWh/day and that of a typ-

    ical winter working day from 222 to 181 kWh/day. It is a

    30.68% improvement in the daily consumption for a typi-

    cal summer day and an 18.47% improvement for a typical

    winter day.

    5.2. Renewable energy system

    Solar photovoltaic (SPV) systems in the range of 1

    100 kW are ideal for a wide range of applications (Bakosa

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    Architectural Science Review 55

    Figure 10. Simulated heat gain through roof.

    Figure 11. Simulated heat gain through walls.

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    56 A. Sharmaet al.

    Figure 12. Simulated heat gain through windows.

    and Soursos 2002). As per the Planning & Maintenance

    Guidelines for Solar Photovoltaic Power Supply (April

    2004), systems for day loads up to 30 kWh are easily

    manageable. Therefore, a grid-connected rooftop SPV sys-

    tem of 26 kW is proposed to support the daily demand of

    25.99kWh for indoor lighting of the building. After sup-

    porting the 5651 kWh annual power demand for interior

    lighting on SPV systems, the annual electricity bill will

    further reduce to 30,126 kWh, which is a total 40.39%

    reduction on the grid supply (Figure 13). A typical PV mod-

    ule of 3036 crystalline silicon solar cells of surface area

    100 cm2, connected in series, gives a peak power of approx-

    imately 50 W (Sick and Thomas 1996), i.e. a 1-kW system

    needs about 20 such modules and a surface area of about

    8 m2. Inorderto install anSPV systemof 26kW, a roofarea

    of about 210m2 will be required (Figure14).

    5.3. Thermal comfort

    As per the heat gain analysis, retrofits are proposed for the

    roof and wall assemblies of the southern faade on the sec-

    ond floor, and for the external windows of the SE faade on

    the second floor and western faade. Here, guidelines fromECBC for the Building Envelope have been considered in

    deciding the proposed U values of different assemblies.

    Figure 15 shows the actual and the proposed envelope

    configurations of the case study.

    5.3.1. Roofs

    The actual U-factor forroof configuraion is 3.375 W/m2-K,

    while ECBC recommends aU-factor of 0.409 W/m2-K for

    the roofs. Since the heat gain in summers through the roof is

    high for the S and NEzones,a green roof is proposed, which

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    Architectural Science Review 57

    Figure 13. Comparison of energy savings based on end-use.

    Figure 14. Proposed roof area for solar photovoltaic modules installation.

    will make the overall U-factor 0.404 W/m2-K and hence

    reduce the heat gain/loss in summers/winters (Castletona

    et al.2010). In theSE zone, to reducethe heat loss in winters,

    a false ceiling is proposed, which will make the U-factor

    1.267 W/m2-K.

    5.3.2. WallsFor the southern wall on the second floor, the actual

    U-factor is 1.242 W/m2-K, whereas ECBC recommends

    a U-factor of 0.440 W/m2-K. Therefore, a 50-mm-thick

    polystyrene insulation is proposed on the outer surface,

    making the overallU-factor 0.423W/m2-K.

    5.3.3. External windows

    As per ECBC, theU-factor for external windows should be

    3.3W/m2-K, whereas the actual U-factor provided in the

    building is 6.121 W/m2-K. After analysingthe performance

    of various glazing assemblies, a 6-mm clear pewter-coated

    glazing with a U-factor of 4.945 and solar heat gain coef-

    ficient of 0.218 is proposed for the southern windows on

    the second floor and the W zone windows on the first and

    second floors.

    Based on theabove building envelope retrofits,the base-

    line model was modified and resimulated to analyse theeffect on thermal comfort. Figures1618show a compara-

    tive analysis of thechanges in operativetemperatures forthe

    S, SE and W zones, respectively. It is evident that because

    of the above retrofits, operative temperatures drop by 0.5C

    to 4.0C. The maximum benefit of proposed retrofits is

    visible on the second floor of W zones. The change in oper-

    ative temperatures of this scale, however, did not fall in

    the acceptable range of ACS as described in Section 5.3 of

    ASHRAE Standard 55-2004 (2004). But the authors believe

    that it will help in the reduction of energy use during a

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    58 A. Sharmaet al.

    Figure 15. Actual and proposed building envelope configuration.

    seasonal change because it will postpone the dependency

    on fans and air conditioners by 23 weeks from winters to

    summers and alsopushback the use ofheaters atthe onset of

    winters. The effect of these retrofits on energy consumption

    in case of unconditioned buildings can only be analysed

    using intelligent metering.

    5.4. Behavioural changes

    It is a commonbelief that human behaviourtowards energy-

    consuming devices is guided by the thermal conditions of

    the environment. But a project report on intelligent meter-

    ing and behaviour changes (European Commission 2006)

    has concluded that training the buildings occupants in

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    Architectural Science Review 59

    Figure 16. Thermal comfort analysis of south zone.

    responsible energy use can significantly reduce the energy

    consumption. As a step forward in the same direction, a

    walkthrough visit to the case study building was performed;

    it was observed that the ceiling fans and lights of the studios

    and lecture hallswere connected to their respectiveswitches

    in an irregular pattern. Owing to this, users switched onall the fixtures when moving in but were not motivated to

    turn off the switches before leaving the room. However, if

    these had been connected in a regular pattern, as shown in

    Figure 19, users would have been prompted to switchon/off

    the required number of lights and fans only. It would thus

    decrease energy consumption to a certain extent which can

    be monitored through intelligent metering. A little effort

    in redoing the connections at no extra cost may result in

    substantial energy savings. As an alternative, occupancy

    sensors can also be installed at a nominal cost, and Nathan

    (2010) shows an average potential savings of 40% per year

    in energy used for lighting of unoccupied space.

    6. Conclusion

    In an unconditioned academic institute building situated ina composite climate, apart from computers and its acces-

    sories, general lighting and thermal control equipments are

    the biggest energy consumers. The results clearly show that

    it is possible to significantly reduce the energy demand

    of such buildings by applying simple cost-effective retrofit

    measures like energy-efficient lighting and fans.

    The key findings of this research are listed below:

    (1) For an unconditioned building, the energy-saving

    opportunities are four-fold. The energy efficiency

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    60 A. Sharmaet al.

    Figure 17. Thermal comfort analysis of south-east zone.

    canbe improved by (i)directly upgradingto energy-

    efficient systems, (ii) by providing on-site renew-

    able energy systems, (iii) upgrading to an efficient

    building envelope to improve thermal comfort,

    and (iv) by motivating building occupants for an

    energy-responsive user behaviour.(2) The energy units saved for an unconditioned build-

    ing are significantly lower than those for a con-

    ditioned building, but the percentage change is

    comparable for both types and is about 20%.

    (3) Apart from concentrating on energy-efficient sys-

    tems or renewable energy systems, thrust should

    be given on improving the thermal comfort of

    an unconditioned building because it reduces the

    reliability on window air conditioners, desert cool-

    ers and heaters.

    (4) The heat gain results from simulation software

    shows that in such buildings external windows

    account for most of the heat gain within the

    building, whereas uninsulated walls result in heat

    loss throughout the year.

    (5) The thermal comfort of unconditioned buildingscanbe improvedby providinga green roof to reduce

    heat gain in summers or by installing a false ceiling

    to reduce heat loss in winters. The only limitation

    here is that any change in the internal heat gain or

    operative temperatures does not affect the cooling

    or heating system loads; as there is no central air

    conditioning. Hence, the energy saving cannot be

    quantified usingsimulation software. However, one

    can quantify the change in operative temperatures

    within the building, which it improves by 0.5C

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    Architectural Science Review 61

    Figure 18. Thermal comfort analysis of west zone.

    Figure 19. Proposed connection of ceiling fans and lights with the switchboard.

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