Annual Energy Consumption Greenhouse Gas (GHG) Emissions. 9 Huntley Street. Conservation and Demand Management (CDM) Plan

Transcription

1 Annual Energy Consumption Greenhouse Gas (GHG) Emissions 9 Huntley Street Conservation and Demand Management (CDM) Plan June 2014

2 Contents 1.0 Background and Facility Status Summary Annual Energy and Water Demand and Consumption Estimated Energy Use and GHG Emissions in a TMY Energy Intensity Compares Favorably with Similar Facilities Goals and Objectives for Optimized Performance and Operation Plan to Vacate Site in 2½ Years Limits Investment Options Potential New CDM Measures Not Economic Maintain Existing Efficient Management and Operation Renewable Energy Generation Ground-Source Energy Solar Energy Harnessed Intent to install and Operate Heat Pump Technology Senior Management CDM Plan Approval Appendix A - Green Energy Act CDM Plan Casey House Appendix B Base-Year Statistical Analysis B.1 Description of Statistical Reports B.2 Electrical Energy Base-Year Statistical Analysis B.3 Electrical Demand Base-Year Statistical Analysis B.4 Natural Gas Base-Year Statistical Analysis B.5 Water Base-Year Statistical Analysis Appendix C Architectural, Occupancy and Use P a g e

3 This document was prepared in accordance with Ontario Regulation 397/11 under the Green Energy Act (2009), effective January 1, 2012, requiring hospitals to report on energy consumption and greenhouse gas (GHG) emissions annually beginning in 2013 and to develop and implement energy Conservation and Demand Management (CDM) plans starting in For additional information and/or technical questions regarding this document please contact: Project Services Group Inc Brays Lane Oakville, Ontario L6M 3J9 Phone: P a g e

4 1.0 Background and Facility Status Summary Casey House is a specialty hospital with community programming including home care and outreach programs. Founded in 1988, it was the first freestanding HIV/AIDS hospice in Canada. Casey House is committed to provide compassionate health care to people living with and affected by HIV/AIDS. Casey House owns three buildings: 1. 9 Huntley Street Site ( 9 Huntley ) - a 16,466 square foot building that houses a 13 bed hospital Isabella Street Site ( 119 Isabella ) - a 4,431 square foot building that houses Casey House Foundation, Community Nurses and administration Jarvis Street Site ( 571 Jarvis ) - a 10,870 square foot building which is currently vacant In the fall of 2014, Casey House is scheduled to begin a redevelopment project which will consist of the construction of a new facility on the 119 Isabella and 571 Jarvis properties, including restoration of the 571 Jarvis Street site. The 119 Isabella building will be demolished and 571 Jarvis will be under construction. During construction which is expected to last until at least the Fall of Huntley will continue to operate. Upon occupancy of the new building, the functions in 9 Huntley Street will be moved to the new building. In addition, the Ministry of Health and Long-Term Care will no longer fund the facilities and maintenance costs to operate 9 Huntley Street. Although the 9 Huntley Street building is very old, it has been well-maintained. Over the past decade, various capital upgrade projects, funded by the Health Infrastructure Renewal Fund of the Ministry of Health and Long-Term Care, have been achieved. This report focuses solely on 9 Huntley Street. As the occupancy date of Casey House s new building approaches, Casey House will work with its mechanical consultants and commissioning agents to identify the best opportunities to improve energy performance in the new building. 3 P a g e

5 2.0 Annual Energy and Water Demand and Consumption During the utility billing periods that most closely coincide with the 2012 reporting year, Casey House consumed 302,160 kwh of electricity and 15,144 m³ of natural gas. The monthly breakdown and statistical correlation with heating and cooling degree-days is in Appendix B. 2.1 Estimated Energy Use and GHG Emissions in a TMY Any given reporting year may be significantly cooler or warmer than normal; therefore, for the purpose of this study, the statistical correlations reported in Appendix B have been used to estimate utility, (energy and water/sewage) demand, consumption and GHG emissions in a Typical Meteorological Year (TMY), derived from Environment Canada data for Toronto City, for the period : Billing Period Electricity Natural Gas Total Energy GHG (eco 2 ) Water Mon Days kw kva kwh m³ GJ t m³ Jan ,316 3, Feb ,422 2, Mar ,346 2, Apr ,674 1, May , Jun , Jul , Aug , Sep , Oct , Nov ,434 1, Dec ,803 2, Total ,302 17,984 1, ,881 The GHG emissions estimates are based on the following factors: Utility eco 2 per unit Source Electricity kg/kwh National Inventory Report : Greenhouse Gas Sources and Sinks in Canada: Table A9-7: Electricity Generation and GHG Emission Details for Ontario: consumption basis Natural Gas kg/m³ Canadian Association of Petroleum Producers (CAPP): Estimating Greenhouse Gas Emissions (April 2003): Table P a g e

6 2.2 Energy Intensity Compares Favorably with Similar Facilities Energy intensity can provide useful insights into a facility s energy efficiency. The following table summarizes the energy and water intensity of Casey House and comparable facilities. Lower values are better. Energy Use Intensity Casey House Comparable Utility Component Units Intensity Min Max Median Electricity Base load kwh/ft² Electricity Cooling Wh/ft²/cdd Fuel Base load ekwh/ft² Fuel Heating ewh/ft²/hdd Water Base load l/ft² The energy intensity has been broken down into its non-weather sensitive and weather sensitive components, respectively referred to as base load and heating or cooling. Base load intensity is expressed per unit floor area. Heating intensity is per unit floor area and heating degree-days below 15 C. Cooling intensity is per unit floor area and cooling degree-days above 15 C. About 57 percent of Casey House s space heating is electrical and the remainder is natural gas. To facilitate comparison with the large majority of facilities that are primarily gas heated, Casey House s heating intensity is reported as the sum of electrical and gas space heating energy use, expressed on a natural gas basis, with combustion efficiency of 80 percent applied to the electrical portion. Energy intensity is most useful when compared with other similar facilities. The most comparable hospitals to Casey House are of the non-acute care/long-term care and/or outpatient treatment type. Facilities within a comparable class may differ considerably in energy intensity depending on factors that are not primarily related to efficiency; therefore, intensity should be considered only as a rough guide to efficiency, which can only be reliably assessed through site investigation. With those caveats in mind, we note that the energy and water intensity of Casey House generally is below the median of comparable facilities; in some cases at or near the low end of the range. 5 P a g e

7 Base Load Casey House s low base-load electricity, fuel and water intensity is remarkable given that it performs all of the functions of much larger hospitals of its type and is self-sufficient in food preparation and laundry services (personal items only). The kitchen is modern and appears to be reasonably efficient. The facility has adequate illumination, with evident care to manually switching off lights when daylight is adequate or a space is temporarily unoccupied. Compact fluorescent lamps are present in nearly all fixtures originally designed for incandescent lamps. Cooling The ultra-low cooling intensity is attributable in part to the simplicity and types cooling systems. In principle, DX-type cooling is less efficient than chilled water systems, but the latter frequently fall short of their potential, (for several reasons including design, control and operation). Heating The heating intensity is slightly above the median of comparable facilities, but well within the normal range, and reasonable given the age of the building. The well-insulated attic and recently installed high-efficiency windows reduced heating and cooling demand and consumption by at least 50% from original construction. The site investigation and subsequent analysis found ventilation to be adequate. The new gas-fired, glycol ramp heating system is further evidence of Casey House s commitment to energy efficient operation. Installed three years ago, it is close to 100% efficient and contributes almost no GHG emissions (since stack gas products are condensed and condensate is diluted to drain). It has operated for the past two winters, and we found only a slight increase in gas use compared to the year prior to installation, which is not statistically significant. Supporting Information Supporting information from the site investigation, relevant to this section, is summarized in Appendix C - Architectural, Occupancy and Use. 6 P a g e

8 3.0 Goals and Objectives for Optimized Performance and Operation Casey House s commitment to energy and water conservation is reflected in its management and operation. Site inspections and energy intensities confirm that facilities, housekeeping and security staff are sensitive to and actively involved in conservation and environmental stewardship. As reported in Section 2.1, energy and water intensity already is generally below the median of comparable facilities; in some cases at or near the low end of the range - despite the presence of all of the functions and systems found in much larger continuing care facilities, and self-sufficiency in food preparation and laundry for personal items. Previous investments in insulation, high efficiency windows and a ~97% thermally efficient ramp heating system contributed to the results. 3.1 Plan to Vacate Site in 2½ Years Limits Investment Options Casey House s goals and objectives to conserve and otherwise reduce energy and water demand and consumption take into account the plan to vacate the present site (9 Huntley) upon completion of construction of the new building. This is scheduled to occur approximately 2½ years from the time of this report. 7 P a g e

9 3.2 Potential New CDM Measures Not Economic The detailed site investigation identified opportunities to further improve efficiency and reduce GHG emissions, through major redesigns of lighting and/or HVAC systems. As shown in the following examples, the payback period would be at least a decade, far in excess of the planned remaining occupancy of 2½ years; therefore, not economic and not recommended for further consideration. Comprehensive Lighting Redesign Selective replacement of existing lighting with properly applied high-efficiency luminaires, lamps and/or ballasts, (to improved uniformity and increase illumination) will reduce lighting load by approximately 30 percent. The required investment of approximately $39,000, would result in direct lighting energy and demand savings of about $3,100 per year. The corresponding electricity and natural gas heating consumption increases, and only slightly reduced cooling energy, however reduces the net annual savings to just $2,200. High-Efficiency Domestic Hot Water (DHW) Replacing the existing DHW heater with a reliable and proven condensing type, (~95 percent efficient) will reduce GHG emissions to the absolute minimum for a natural gas-fired system, cost approximately $15,000 and save about $900 annually. 3.3 Maintain Existing Efficient Management and Operation For the remaining 2½ years of occupancy of the present site, Casey House should continue its excellent housekeeping and maintenance practices to sustain the facility s existing energy and operating cost efficiency. 8 P a g e

10 4.0 Renewable Energy Generation There are no renewable or geothermal installations at Casey House and none are planned for this special case 2½ Year (2014 to 2017) of the CDM 5-Year Plan, (2014 to 2019). 4.1 Ground-Source Energy Casey House does not have any ground-source/geo-thermal well field for energy harvested by ground source heat pump technology. 4.2 Solar Energy Harnessed Casey House does not have any passive solar (heating water or thermal air) or photo voltaic, (PV) panels. Given the expectation that patients and staff will move to a new facility before 2017, there are no plans to install solar harvesting technology in the future. 4.3 Intent to install and Operate Heat Pump Technology Casey House does not have any heat pumps. Given the expectation that patients and staff will move to a new facility before 2017, there are no plans to install and operate heat pump, thermal air or thermal water technology in the future. 9 P a g e

11 5.0 Senior Management CDM Plan Approval Casey House senior management have accepted the recommendation to continue operating and maintaining existing equipment and systems to its current high standard to sustain the facility s present efficiency for the remaining 2½ years of occupancy. 10 P a g e

12 Appendix A - Green Energy Act CDM Plan Casey House Required elements summary (for convenient reference) follows. Ontario Regulation 397/11 CDM Plan requirements met by this report 12.1 APPENDIX B > CDM PLAN CHECKLIST Please use the checklist below to ensure that all of the required elements have been included in the CDM plan. 1. Information on the public agency s annual energy consumption during the last year for which complete information is available for a full year 2. The public agency s goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy 3. The public agency s proposed measures under its energy conservation and demand management plan 4. Cost and saving estimates for its proposed measures 5. The estimated length of time the public agency s energy conservation and demand management measures will be in place 6. A description of any renewable energy generation facility operated by the public agency and the amount of energy produced on an annual basis by the facility 7. A description of: a. The ground source energy harnessed, if any, by ground source heat pump technology operated by the public agency b. The solar energy harnessed, if any, by thermal air technology or thermal water technology operated by the public agency c. The proposed plan, if any, to operate heat pump technology, thermal air technology or thermal water technology in the future 8. Confirmation that the energy conservation and demand management plan has been approved by the public agency s senior management 9. The CDM plan has been made publically available by: a. Publishing it on the public agency s website (if there is one) b. Publishing it on the public agency s intranet site (if there is one) c. Making it available to the public in printed form at the head office 11 P a g e

13 13.1 APPENDIX C > RESULTS CHECKLIST FOR FIRST CDM UPDATE (JULY 1, 2019) Ontario Regulation 397/11 CDM Plan requirements met for 2019 Not applicable to Casey House since moving to new facility by ~2017 Please use the checklist below to ensure that all of the required elements have been included in the results of the CDM plan. 1. The Energy Consumption and Greenhouse Gas Emissions Template that is required to be submitted and published on or before July 1 of that year. For the first plan this will be the 2019 template 2. A description of current and proposed measures for conserving and otherwise reducing energy consumption and managing demand for energy 3. A revised forecast of the expected results of the current and proposed measures 4. A report of the actual results achieved 5. A description of any proposed changes to be made to assist the public agency in reaching any targets it has established or forecasts it has made 12 P a g e

14 Appendix B Base-Year Statistical Analysis The Base-Year statistical analysis was produced using BEAMS (Building Energy Analysis and Monitoring System), developed by and proprietary to Molczan Software Services, which statistically correlates energy consumption and demand with heating and cooling degree-days. BEAMS key analytical features include: linear regression correlation of energy consumption with heating and cooling degree-days; peak demand correlated with peak heating and cooling degree-days energy consumption and degree-days normalized by dividing by duration of billing period, to maintain accuracy despite variations in the duration of billing periods degree-days computed from mean temperature of each day of the billing period, using data published by Environment Canada supports variable-base degree-days to aid in determination of building balance temperature provision for designating statistical outliers to ensure accurate estimates of slope and intercept of weather-sensitive consumption strong support for accurate reconciliation of detailed audits and evaluation of savings measures BEAMS reports are highly transparent: easily auditable - linear regression coefficients can be quickly verified with an inexpensive scientific calculator reports variance between consumption accounted for by linear-regression, compared with original input data - seldom exceeds a small fraction of one percent on an annual basis manual overrides of automated settings, and designated outliers are clearly indicated on reports, to make the analyst's decisions transparent to the reader The following section describes the BEAMS correlation reports. 13 P a g e

15 B.1 Description of Statistical Reports Each column of the correlation report is explained below. Billing Period Mon Rdg Date Days hdd<nn.n cdd>nn.n Actual or Adjusted Use Regression Data Normalized Energy Use, or Peak Demand hdd/d or phdd cdd/d or pcdd H/C Out Accounted Diff Name of month nearest to the billing period. Meter reading date at end of billing period, from utility invoice. Duration of billing period, computed from meter reading date. Total heating degree-days below balance temperature nn.n C during the billing period. Typically, the analyst determines the balance temperature as that which results in approximately equivalent nonweather sensitive energy use coefficients of both heating and cooling mode. Total cooling degree-days above balance temperature nn.n C during the billing period. Typically, the analyst determines the balance temperature as that which results in approximately equivalent nonweather sensitive energy use coefficients of both heating and cooling mode. Energy or peak demand as reported on the utility invoice, in billing units. Energy use is normalized as mean use per day, by dividing billed use by the duration of the billing period. Peak demand is not normalized, because it is an instantaneous quantity. For analysis of energy, heating degree-days are normalized as mean daily hdd by dividing by the duration of the billing period. For analysis of peak-demand, peak daily heating degree-days are used. For analysis of energy, cooling degree-days are normalized as mean daily cdd by dividing by the duration of the billing period. For analysis of peak-demand, peak daily cooling degree-days are used. Mode of operation of building. H denotes heating mode; C denotes cooling mode. a denotes automatic designation of building mode by the software; m denotes manual override by the analyst. x entered in this column denotes a statistical outlier designated by the analyst. If energy use is found not to correlate with degree-days for a mode of operation, then all entries will be treated as outliers, and the result of the analysis will be the mean daily use during the relevant billing periods. The result of applying the energy use coefficients from the BEAMS analysis to the duration and degree-days of the billing period The difference between the Accounted and Actual Use Below the correlation table are the following footnotes: 14 P a g e

16 Weather Data Heating Mode B.Y.E Use Cooling Mode B.Y.E Use Identifies the location and source of mean daily temperature data used to compute heating and cooling degree-days. Equation resulting from the BEAMS analysis to be used to compute the Base-Year Equivalent Use in any past or future comparable heating-mode billing period of a given duration in days, and having a given number of hdd below the balance temperature, nn.n C. The coefficient of determination, r², denotes the degree of correlation. Similar format to heating mode B.Y.E. use. 15 P a g e

17 B.2 Electrical Energy Base-Year Statistical Analysis The Base-Year statistical analysis of electrical energy is presented in the following table. The resulting equations for heating and cooling mode Base-Year Equivalent Use are shown in the footnotes. The Base-Year Equivalent Use is what would occur if the facility continued to operate as it did in the Base-Year. The linear regression analysis revealed a strong correlation with heating degree-days (r²=0.952), due to significant electricity use for heating and humidification. Despite spacecooling of a large portion of the facility, the correlation with cooling degree-days was not statistically significant, most likely due to the shortness of the season (Jun-Aug), which yields just three data points. 16 P a g e

18 Casey House 9 Huntley Street, Toronto Electricity: Energy Account #: Base-Year Correlation With Degree-Days Jan Dec 2012 Billing Period Actual Use Regression Data Accounted Diff Mon Rdg Date Days hdd<15.0 cdd>15.0 kwh kwh/d hdd/d cdd/d H/C Out kwh kwh 11-Jan-12 Jan 09-Feb ,760 1, H a 33,992 (1,768) Feb 12-Mar ,640 1, H a 35,668 (972) Mar 11-Apr , H a 23, Apr 09-May , H a 20,889 1,529 May 08-Jun , H m 16,275 (2,925) Jun 10-Jul , C a x 21,800 (200) Jul 10-Aug , C a x 21,119 (3,521) Aug 11-Sep , C a x 21,800 3,720 Sep 09-Oct , H a 16,388 (12) Oct 07-Nov , H a 23,058 1,298 Nov 07-Dec , H a 28,291 1,331 Dec 11-Jan ,960 1, H a 39, Total , ,077 (83) Weather Data: Environment Canada, Toronto City, Base-Year Actual Heating mode B.Y.E. Use = x Days x (hdd<15.0), r² = Cooling mode B.Y.E. Use = x Days 17 P a g e

19 kwh per day Casey House 9 Huntley Street, Toronto Electricity: Energy Account #: Base-Year Correlation With Heating Degree-Days Jan Dec y = x R² = Heating Degree-Days per Day, below 15 Deg C 18 P a g e

20 B.3 Electrical Demand Base-Year Statistical Analysis The Base-Year statistical analysis of electrical demand is presented in the following table. The resulting equations for heating and cooling mode Base-Year Equivalent Use are shown in the footnotes. The Base-Year Equivalent Use is what would occur if the facility continued to operate as it did in the Base-Year. The linear regression analysis revealed a strong correlation with heating degree-days (r²=0.958), due to significant electricity use for heating and humidification. Despite spacecooling of a large portion of the facility, the correlation with cooling degree-days was not statistically significant, most likely due to the shortness of the season (Jun-Aug), which yields just three data points. 19 P a g e

21 Accounted Mon Rdg Date Days hdd<9.0 cdd>9.0 kw kw phdd pcdd H/C Out kw kw 11-Jan-12 Billing Period Jan 09-Feb H a Feb 12-Mar H a 87.5 (5.8) Mar 11-Apr H m Apr 09-May H m May 08-Jun H m 42.5 (5.0) Jun 10-Jul C a x Jul 10-Aug C a x 51.4 (0.2) Aug 11-Sep C a x 51.4 (0.9) Sep 09-Oct H m 49.0 (0.4) Oct 07-Nov H a Nov 07-Dec H a Dec 11-Jan H a 78.8 (2.2) Total Weather Data: Environment Canada, Toronto City, Base-Year Actual Heating mode B.Y.E. Use = x (phdd<9.0), r² = Cooling mode B.Y.E. Use = Casey House 9 Huntley Street, Toronto Electricity: Demand Account #: Base-Year Correlation With Degree-Days Jan Dec 2012 Actual Use Regression Data Diff 20 P a g e

22 kw Casey House 9 Huntley Street, Toronto Electricity: Demand Account #: Base-Year Correlation With Peak Heating Degree-Days Jan Dec 2012 Peak Heating Degree-Day, below 9 Deg C y = x R² = P a g e

23 B.4 Natural Gas Base-Year Statistical Analysis The Base-Year statistical analysis of natural gas is presented in the following table. The resulting equations for heating and cooling mode Base-Year Equivalent Use are shown in the footnotes. The Base-Year Equivalent Use is what would occur if the facility continued to operate as it did in the Base-Year. Enbridge Gas issued invoices monthly, but estimated the consumption of every other month. To yield the most reliable statistical analysis, the monthly invoices have been collapsed into bimonthly periods consisting of actual metered consumption. The period analyzed, 2011 Nov Nov 23, most closely spans the required reporting year: The linear regression analysis revealed a strong correlation with heating degree-days (r²=0.992), due to significant natural gas space-heating. Natural gas use did not correlate with cooling degree-days, due to the lack of weather-sensitive loads during the cooling season. The facility s natural gas balance temperature was 9.2 C. 22 P a g e

24 Accounted Mon Rdg Date Days hdd<9.2 cdd>9.2 m³ m³/d hdd/d cdd/d H/C Out m³ m³ 21-Nov-11 Billing Period Casey House 9 Huntley Street, Toronto Natural Gas Account #: Base-Year Correlation With Degree-Days Dec Nov 2012 Actual Use Regression Data Dec 23-Jan , H a 4, Feb 22-Mar , H a 3,964 (194) Apr 25-May , H m 1,960 9 Jun 25-Jul , H m 1, Aug 24-Sep , C a 1,251 0 Oct 23-Nov , H m 1,957 (7) Diff Total ,144 15, Weather Data: Environment Canada, Toronto City, Base-Year Actual Heating mode B.Y.E. Use = x Days x (hdd<9.2), r² = Cooling mode B.Y.E. Use = x Days 23 P a g e

25 m³ per day Casey House 9 Huntley Street, Toronto Natural Gas Account #: Base-Year Correlation With Heating Degree-Days Dec Nov y = x R² = Heating Degree-Days per Day, below 9.2 Deg C 24 P a g e

26 B.5 Water Base-Year Statistical Analysis The Base-Year statistical analysis of water is presented in the following table. The resulting equations for heating and cooling mode Base-Year Equivalent Use are shown in the footnotes. The Base-Year Equivalent Use is what would occur if the facility continued to operate as it did in the Base-Year. The meter is not read with sufficient frequency to support a linear regression analysis; therefore, mean daily values have been computed. 25 P a g e

27 Accounted Mon Rdg Date Days hdd<10.0 cdd>10.0 m³ m³/d hdd/d cdd/d H/C Out m³ m³ 30-Oct-11 Billing Period Casey House 9 Huntley Street, Toronto Water Account #: Base-Year Correlation With Degree-Days Nov Oct 2012 Actual Use Regression Data Jan 12-Mar H a x May 16-Jul C a x Sep 12-Nov C a x 644 (48) Diff Total ,990 1,990 (0) Weather Data: Environment Canada, Toronto City, Base-Year Actual Heating mode B.Y.E. Use = x Days Cooling mode B.Y.E. Use = x Days 26 P a g e

28 Appendix C Architectural, Occupancy and Use Since Casey House is a substantially renovated residential building, and thereby a unique healthcare facility, functional areas and specific heating, ventilation, and air-conditioning (HVAC) systems were determined to evaluate historical energy performance. Architectural Thermal characteristics used to reconcile BYU and BYE heating and cooling systems demand and consumption includes: Walls Levels 1 to 3 Mostly brick, (R-value unknown) Walls Basement Evidence of each of stone, (rubble wall with mortar), brick, masonry block (at least two different generations), and poured concrete types. Little if any insulation Roof at least three types Level 3 areas with gable roof c/w full-size 1 wood framing and dormers 2 had additional blown, (most likely cellulose type) insulation to a depth of ~5-6 inches of R Level 3 flat roof, (exact R-value unknown) Windows Levels 1 to 3 have double-glaze (or double-pane) windows. Thermal performance ~R-2 3 Basement windows, comprising 5% of the total glass area is metal frame single pane or R-1 Doors Total of seven. Ground level, (2 stairwell exits, 2 main entrances, 1 to sun-deck and 2 south-side elevator and service). Five of which affect heat and cooling infiltration load estimates North-side Access Ramp Heating is provided by a wall mounted 153/145 MBHin/out condensing HW (glycol) heater located in the basement. 1 Full-size is 2"x4" (or larger 2 x n") wood framing material, (most likely pine in this case) 2 Window projecting from the slope of a roof 3 an increase of 1 R-value to the efficiency of single-pane glazing. More importantly, infiltration and leakage are substantially reduced. Site inspections did not confirm use of Argon gas which increases the efficiency to about R-3 27 P a g e

29 Floor Areas for Energy Intensities Determination Casey House consists of 4 levels. Three levels above grade and a basement. Energy and water/sewage demand and consumption intensities (or indices) are based on a total conditioned floor area of 15,600 ft². Energy intensities include the following additional information to compare demand sensitive performance to historical actuals. Architectural Total exterior surface area 11,828 ft² Vertical surfaces, (single level below grade) Glazing area 1,201 ft² Levels 1 to 3 relatively new double-glaze Basement single-glaze Wall area 10,628 ft² Substantial drywall interiors Doors to exterior quantity 5 including north-side entrance with heated ramp Roof area 4,096 ft² Blown cellulose in attic to existing ceiling joist depth (~6 inches/~r15 orr20). Flat roof R-value unknown Occupancy and Use Thirteen patient beds Ventilation MUA to kitchen hood, (Gaylord Ventilator/ GX-BDL 1500 cfm) Delhi exhaust fan EngA RTUs OA volume Full kitchen and dietary services - gas stove N. gas stove. Electric booster heater for dishwasher, a walk-in 4C cooler and a freezer Laundry all electric Two pairs of washing machines and clothes dryers 28 P a g e