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Dr. Satish Kumar_Schneider

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  • 8/2/2019 Dr. Satish Kumar_Schneider

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    ISA Vision Summit, Bangalore, February 21st, 2011

    Benchmarking Energy Use in Buildings and

    Cleanrooms

    Dr. Satish Kumar

    Energy Efficiency Ambassador

    Schneider Electric India Pvt. Ltd.

    (Formerly, Chief of Party, USAID ECO-III Project)

    ISA Vision Summit, Bangalore

    February 21, 2011

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    Outline

    Commercial Building Sector in IndiaBenchmarking Energy Use in the Building

    Sector

    Implementation Barriers & ChallengesECBC Implementation Strategy

    Conclusions & Recommendations

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    Commercial Buildings Sector in India

    Commercial Buildings Growth Forecast

    Currently, ~ 659 million m2 (USAID ECO-III Internal Estimate Using MOSPI, CEA andBenchmarked Energy Use data)

    In 2030,~ 1,900 million m2 (estimated) *

    66% building stock is yet to be constructed

    Year: 2010

    660

    million

    m2

    * Assuming 5-6% Annual Growth

    Current

    34%

    Yet to be

    Built66%

    1,930

    million m2

    Source: USAID ECO- III Project, Lawrence Berkeley National Laboratory

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    Projected Growth Across Building Sector in India

    Source: McKinsey Analysis

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    Growth of Electricity Consumption in Commercial

    Sector in India

    2820131381

    35965

    40220

    46685

    11.3

    14.611.8

    16.1

    0

    10000

    20000

    30000

    40000

    50000

    2003-04 2004-05 2005-06 2006-07 2007-08

    GWh

    Growth in % over the previous year

    SOURCE: Central Electricity Authority (2009).

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    Indian Power Supply: Current Situation and Future

    Projections

    Installed Capacity in India Approx. 160,000 MWProjected Capacity in 2030 800,000 MW

    600 MW capacity addition each week

    Continued deficit supply in 2007-08 (MOP) Peak power deficit of 16.6%

    Energy Deficit of 9.9%

    Source: Planning Commission of India and Central Electricity Authority

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    Electricity Scenario in India

    Domestic

    24%

    Commercial

    9%

    Industry

    38%

    Public Lighting

    1%

    Traction

    (Railways)

    2%

    Agricultutre

    21%

    Public Water

    Works &

    SewagePumping

    3%

    Miscellaneous

    2%

    1614

    14861433

    1020

    623

    439

    188101

    0

    200

    400

    600

    800

    1000

    1200

    1400

    1600

    1800

    Punjab Gujarat Delhi Maharashtra Madhya

    Pradesh

    West Bengal Assam Bihar

    ElectricityinkWh

    Source: Central Electricity Authority's 'Year End Review 2007-08'

    State-wise Per Capita Electricity

    Consumption During the Year 2007-08

    National Average

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    ECBC Compliance

    ENVELOPE

    HVAC

    LIGHTING

    ELECTRICAL POWER

    SOLAR HOT WATER &PUMPING

    MandatoryRequirements

    Prescriptive

    Whole Building

    Performance

    Trade-off option (for

    ENVELOPE only)

    COMPLIANCE APPROACHES

    Required for ALL

    Compliance Approaches

    Applicable BUILDING SYSTEMS

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    Energy Conservation Act 2001

    Government of India - creation of Bureau of Energy Efficiency (BEE)

    Powers and Functions of BEE vis--vis ECBC Prescribe ECBC for efficient use of energy

    Take suitable steps to prescribe guidelines for ECBC

    Link Energy Performance Index (from the EC Act) to the ECBC Prescriptive ComplianceApproach in order to facilitate the implementation of the Code

    [On Page 5, clause (j) of the EC Act, 2001 currently reads:

    "energy conservation building codes" means the norms and standards of energyconsumption expressed in terms of per square meter of the area wherein energy isused and includes the location of the building]

    Power of State Government:

    The State Govt., in consultation with BEE, may amend ECBC to suit the regional and local climatic conditions with respect to use of

    energy in the buildings

    direct the owner or occupier of a building (if notified as a Designated Consumer) tocomply with the provisions of ECBC

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    Use of Benchmark Numbers

    Building Level Benchmarks First Step, Less Costly

    Energy consumption per employee in an office

    Energy consumption per bed in a hospital

    Energy consumption per room in a hotel

    System Level Benchmarks Requires Metering Infrastructure, More Costly andData-Intensive

    Lighting System: 5 Watts/m2

    Equipment Power: 10 Watts/m2

    HVAC System: 50 m2/Ton of Refrigeration; 25 Watts/m2

    Chilled and Condenser water pumps: 10 Watts/GPM

    Air Handling Unit: 0.75 Watts/CFM

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    Benchmarking: Macro Analysis Building Population

    N=760

    N=861

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    Baseline Energy Use in Commercial Buildings

    Number ofBuildings

    Building TypeFloorArea(m2)

    Annual EnergyConsumption

    (kWh)Benchmarking Indices

    OFFICE BUILDINGS kWh/m2/year kWh/m2/hour

    145 One shift Buildings 16,716 20,92,364 149 0.068

    55 Three shifts Buildings 31,226 88,82,824 349 0.042

    88 Public Sector Buildings 15,799 18,38,331 115 0.045

    224 Private SectorBuildings

    28,335 44,98,942 258 0.064

    10 Green Buildings 8,382 15,89,508 141 -

    HOSPITALS kWh/m2/year kWh/bed/year

    128Multi-specialty

    Hospitals8721 24,53,060 378 13,890

    22 Government Hospitals 19,859 13,65,066 88 2,009

    HOTELS kWh/m2/yearkWh/room/yea

    r89

    Luxury Hotels (4 and 5Star)

    19,136 48,65,711 279 24,110

    SHOPPING MALLS kWh/m2/year kWh/m2/hour

    101 Shopping Malls 10,516 23,40,939 252 0.05642

    Source: Building Energy Benchmarking study undertaken by the USAID ECO-III Project

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    Why Regression Based Rating and Why Not Simple EPI

    Based Rating?

    Simple EPI based rating does not take intoaccount

    Physical characteristics

    Location characteristics

    Operating characteristics

    Regression based methodology:

    Energy consumption of a benchmarked building

    = function (Building use,physical, operationalandlocation characteristics).

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    Performance Based Rating

    1. Estimate energy consumed by benchmarked building

    log(kwh) = c0. + c1.climate + c2.log(%ac) + c3.log(bua) + c4.log(hrs) + c5.log(emp)

    2. Calculate performance relative to the benchmarked building

    (BPI)

    BPI=Actual Energy Consumed / Energy Consumed by the benchmarked building

    3. Compare candidate buildings BPI to other buildings and assign

    score to the performance differential

    0 1 2 3 4

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    Building Performance Index (BPI)

    BPI(ActualAnnualKWH consumed/Predicted KWH)

    CumulativePercent

    DataFitted Curve

    10 12 14 16 18

    10

    12

    14

    16

    ActualElectricityConsumed(Log)

    EstimatedElectricityConsumed(L

    og)

    lkwh

    - 3 - 2 - 1 0

    0.17 0.87

    8 .0 8 .5 9 .0

    0.093

    10

    12

    14

    16

    18

    0.83

    -3

    -2

    -1

    0

    lpac20.082

    0.290.081

    lbua0.11

    4

    6

    8

    10

    0.80

    8.0

    8.5

    9.0

    lhrs

    0.19

    10 12 14 16 18 4 6 8 10 12 3 5 7 9

    3

    5

    7

    9lemp

    Offices

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    10 12 14 16 18

    10

    12

    14

    16

    Actual Electricity Consumed(Log)

    EstimatedElectricityConsumed(Log)

    Performance Based Rating

    Building Performance Index

    (BPI) =

    Energy consumed by the

    benchmarked building

    Actual Energy Consumed

    BPI < 1

    Efficient Bldgs.

    BPI > 1

    Inefficient Bldgs.

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    Performance Based Rating

    EPI Percentile

    ~ 82 25%

    132 50%

    200 ~ 75%

    Building Type Office

    Built up area (m2) 2,000

    Annual Elec. Purchased (kWh) 100,000

    Annual Elec. Generated (kWh) 40,000

    Select Climate zone Hot and Dry

    Hours per day 12

    Days per Week 5

    Percent conditioned space 0.75

    Total number of employees 150

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    Performance Based Rating

    EPI Percentile

    ~ 72 25%

    116 50%

    175 ~ 75%Dynamic!

    Building Type Office

    Built up area (m2) 2,000

    Annual Elec. Purchased (kWh) 100,000

    Annual Elec. Generated (kWh) 40,000

    Select Climate zone Hot and Dry

    Hours per day 12

    Days per Week 5

    Percent conditioned space 0.75

    Total number of employees 150

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    Benchmarking of Cleanroom Facilities

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    Cleanroom Energy Benchmarking

    Cleanroom energy benchmarking data shows that there is a variety of chillerplant designs and operating efficiency for cleanroom facilities.

    Chiller plants usually serve cleanroom facility and adjacent spacessimultaneously and use significant energy and water.

    The efficiency level of the overall chiller plant is influenced by the efficiency

    of individual components and subsystems in the plant. Major components include chillers, water pumps, and cooling tower or

    condenser fans.

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    Benchmarked cleanroom energy usages in a semiconductor

    cleanroom facility

    Central Plant ChilledWater for Cleanroom

    Cooling

    12%

    Central Plant Chilled

    Water for Process

    Cooling

    7%

    Glycol Chilled Water40%

    Heating

    10%

    Cleanroom Fans

    14%

    Process

    16%

    Lighting

    1%

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    Benchmarked HVAC energy usages in a semiconductor

    cleanroom facility

    Chillers

    39%

    Cooling

    Towers

    7%

    Pumps

    17%

    MUAH + RCU

    Fans9%

    Hot Water +

    Steam

    25%

    Exhaust Fans

    3%

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    HVAC Air Systems

    Air Change Rates

    Recirculation air change rates (ACRs) are an important factor in contamination

    control in a cleanroom and are the single largest factor in determining fan and

    motor sizing for a recirculation air handling system.

    Many air change rate recommendations were developed decades ago with little

    scientific research to back them up. The recommended design ranges for ISO

    Class 5 (Class 100) cleanroom ACRs are from 250 to 700 air changes per hour.

    Higher ACRs equate to higher airflows and more energy use, and dont always

    achieve the desired cleanliness.

    Benchmarking has shown that most facilities are operated at or below the low

    range of recommended ACRs. A Sematech study has also verified that lowered airchange rates in cleanrooms are adequate in maintaining cleanliness. The actual

    operating ACRs documented for ten ISO Class 5 cleanrooms was between 94 and

    276 air changes per hour.

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    Global Trends

    Building Performance

    Labeling of Buildings and Facilities EN 16001

    ISO 50001

    IPMVP

    Automation and Controls Innovation Next Generation of Energy Management Systems

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    Thank You

    Contact Information:Satish Kumar, Ph.D.

    Energy Efficiency Ambassador

    Schneider Electric India Pvt. Ltd.Phone: +91-124-3305-039

    Email: [email protected]

    electric.com

    Useful Web Sites:http://www.bee-india.nic.in/ecbc.php

    http://www.eco3.org

    http://www.buildingenergytools.in/benchmarking

    http://www.buildingenergytools.in/eco

    nirman

    Acknowledgements:

    1. Bureau of Energy Efficiency, USAID, and ECO-III Project Team2. Kumar, S. et. al. (2010): Developing an Energy Conservation Building Code

    Implementation Strategy in India, ACEEE Summer Study on Energy Efficiency inBuildings, Asilomar, CA

    3. Kumar, S. et. Al. (2010): Performance Based Rating and Energy PerformanceBenchmarking for Commercial Buildings in India, BauSIM 2010, Vienna

    University of Technology, Vienna, Austria.

    http://www.bee-india.nic.in/ecbc.phphttp://www.bee-india.nic.in/ecbc.phphttp://www.eco3.org/http://www.buildingenergytools.in/benchmarkinghttp://www.buildingenergytools.in/benchmarkinghttp://www.buildingenergytools.in/benchmarkinghttp://www.buildingenergytools.in/benchmarkinghttp://www.eco3.org/http://www.bee-india.nic.in/ecbc.phphttp://www.bee-india.nic.in/ecbc.phphttp://www.bee-india.nic.in/ecbc.php