Phoenix Convention Center Phoenix, Arizona Actionable Energy Information For NAVY Energy Program...

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Phoenix Convention Center • Phoenix, Arizona Actionable Energy Information For NAVY Energy Program Agency Energy Manager Benchmark and Data Analysis Sandrine Schultz, CEM Commander Navy Installations Command August 11, 2015, 4:00PM-5:30PM

Transcript of Phoenix Convention Center Phoenix, Arizona Actionable Energy Information For NAVY Energy Program...

Page 1: Phoenix Convention Center Phoenix, Arizona Actionable Energy Information For NAVY Energy Program Agency Energy Manager Benchmark and Data Analysis Sandrine.

Phoenix Convention Center • Phoenix, Arizona

Actionable Energy Information For NAVY Energy Program

Agency Energy Manager

Benchmark and Data Analysis

Sandrine Schultz, CEM Commander Navy Installations Command

August 11, 2015, 4:00PM-5:30PM

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Energy Exchange: Federal Sustainability for the Next Decade2

Topic

Share the value, uses and ROI of a robust BM and analysis regime Navy has developed in order to provide our energy managers actionable information to identify, plan, execute and measure energy goals attainment.

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To assure superiority in the execution of its national defense mission, the Department of the Navy continues to value energy as a strategic resource to reduce consumption, invest in energy security and renewable power generation and implement culture and behavior.

DON Energy Program

Strategic approach is to ensure energy will never be an operational constraint to performing the mission

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Navy Organization Structure

Secretary of the Navy (SECNAV)• Deputy Assistant Secretary of the Navy (DASN)• Renewable Energy Program Office (REPO)

Office of the Chief of Naval Operations (OPNAV)• Budgeting and Programming

CNIC• Data reporting, budget forecasting, goal attainment measurement• Shore Integrator and Requirement Generator

Naval Facilities Engineering Command (NAVFAC )• Public Works Business Lines (UT)• Regional and Installation Managers• Tenants

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Navy Shore Energy Program Goals

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CNIC Shore Energy Program Management

CNO : 50% Consumption Reduction

25%

10%

35%

8%15%

3%

24%

35%

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Phoenix Convention Center • Phoenix, Arizona

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CNIC Tool Suite for Navy Shore Energy

CNIC developed a Navy Shore Energy Management Tool Suite to assist stakeholders in identifying, optimizing and tracking energy opportunities and investments.

Map and visualize Navy-wide energy data

Identify energy efficiency opportunities

Develop opportunities into projects and evaluate viability

Verify current energy goal attainment and forecast investment

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SILO to CONVERGENCE

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Framework : Process – Enablers – Technology F

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Building Benchmarks

• Compare facility energy use intensity (EUI) to a standard of excellence (benchmark) to identify poor performing Navy facilities to target with energy saving projects.

• Majority of building types are unique to the Navy so what standard would apply to our facilities and map to industry building energy benchmarks.

• Develop and implement gap filling for missing data and customize benchmark methodology by using DoE Energy model in accordance with ASHRAE 90.1-2010.

• For DOE, PNNL conducted analysis of reference to building energy use using ASHRAE 90.1-2010 specifications.

• The analysis provides EUI for 16 reference buildings in 17 climate zones.

• 8 Navy building types established directly map to PNNL reference buildings leaving 17 Navy buildings which do not map to established reference buildings.

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PNNL – NAVY

• PNNL analysis mapped eight Navy building to ASHRAE reference buildings

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Map Navy

Building types

to ASHRA

E

•Eight Navy building types directly map to PNNL reference buildings

Establish Relationship

•A relationship between the median EUIs for Navy building types that map to ASHRAE benchmarks and the median EUIs for unmapped Navy-specific building types is established using a non-linear optimization problem

Use Relationship

to Establis

h Benchmark

•The calculated weights are applied to the ASHRAE benchmarks of the matched buildings types to determine the benchmark for the building type in a specific climate zone

Repeat for

each Building Type

and Climate

Zone

•Navy installations are located in 11 of the 17 ASHRAE climate zones, and benchmarks are needed for 17 of 25 Navy building types, thus 187 optimization problems are solved

Benchmarking Methodology

𝑧=|𝑀𝑒𝑑 .𝐸𝑈𝐼 𝑖− (𝑥1∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑀𝑒𝑑𝑖𝑐𝑎𝑙𝐹𝑎𝑐𝑖𝑙𝑖𝑡𝑖𝑒𝑠+𝑥2∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑂𝑓𝑓𝑖𝑐𝑒+𝑥3∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑃𝑟𝑖𝑚𝑎𝑟𝑦∧𝑆𝑒𝑐𝑜𝑛𝑑𝑎𝑟𝑦 h𝑆𝑐 𝑜𝑜𝑙𝑑+𝑥4∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑆𝑡𝑎𝑛𝑑−𝐴𝑙𝑜𝑛𝑒𝑅𝑒𝑡𝑎𝑖𝑙+𝑥5∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑇𝑟𝑎𝑛𝑠𝑖𝑒𝑛𝑡∧𝑉𝑖𝑠𝑖𝑡𝑜𝑟 𝐻𝑜𝑢𝑠𝑖𝑛𝑔+𝑥6∗𝑀𝑒𝑑 .𝐸𝑈𝐼 h𝑊𝑎𝑟𝑒 𝑜𝑢𝑠𝑒 )|h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑖=𝑥1∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑀𝑒𝑑𝑖𝑐𝑎𝑙 𝐹𝑎𝑐𝑖𝑙𝑖𝑡𝑖𝑒𝑠+𝑥2∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑂𝑓𝑓𝑖𝑐𝑒+𝑥3∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑃𝑟𝑖𝑚𝑎𝑟𝑦∧𝑆𝑒𝑐𝑜𝑛𝑑𝑎𝑟𝑦 h𝑆𝑐 𝑜𝑜𝑙𝑑+𝑥4∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑆𝑡𝑎𝑛𝑑− 𝐴𝑙𝑜𝑛𝑒𝑅𝑒𝑡𝑎𝑖𝑙+𝑥5∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑇𝑟𝑎𝑛𝑠𝑖𝑒𝑛𝑡∧𝑉𝑖𝑠𝑖𝑡𝑜𝑟 𝐻𝑜𝑢𝑠𝑖𝑛𝑔+𝑥6∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘 h𝑊𝑎𝑟𝑒 𝑜𝑢𝑠𝑒

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Energy Exchange: Federal Sustainability for the Next Decade14

Benchmark Development Process

For the building that a BM is being created:

Navy Installations located in 11 of the 17 ASHRAE climate zones, BM are needed for 17 building types, 187 optimization problems

𝑧=|𝑀𝑒𝑑 .𝐸𝑈𝐼 𝑖− (𝑥1∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑀𝑒𝑑𝑖𝑐𝑎𝑙𝐹𝑎𝑐𝑖𝑙𝑖𝑡𝑖𝑒𝑠+𝑥2∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑂𝑓𝑓𝑖𝑐𝑒+𝑥3∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑃𝑟𝑖𝑚𝑎𝑟𝑦∧𝑆𝑒𝑐𝑜𝑛𝑑𝑎𝑟𝑦 h𝑆𝑐 𝑜𝑜𝑙𝑑+𝑥4∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑆𝑡𝑎𝑛𝑑−𝐴𝑙𝑜𝑛𝑒𝑅𝑒𝑡𝑎𝑖𝑙+𝑥5∗𝑀𝑒𝑑 .𝐸𝑈𝐼𝑇𝑟𝑎𝑛𝑠𝑖𝑒𝑛𝑡∧𝑉𝑖𝑠𝑖𝑡𝑜𝑟 𝐻𝑜𝑢𝑠𝑖𝑛𝑔+𝑥6∗𝑀𝑒𝑑 .𝐸𝑈𝐼 h𝑊𝑎𝑟𝑒 𝑜𝑢𝑠𝑒 )|h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑖=𝑥1∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑀𝑒𝑑𝑖𝑐𝑎𝑙 𝐹𝑎𝑐𝑖𝑙𝑖𝑡𝑖𝑒𝑠+𝑥2∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑂𝑓𝑓𝑖𝑐𝑒+𝑥3∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑃𝑟𝑖𝑚𝑎𝑟𝑦∧𝑆𝑒𝑐𝑜𝑛𝑑𝑎𝑟𝑦 h𝑆𝑐 𝑜𝑜𝑙𝑑+𝑥4∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑆𝑡𝑎𝑛𝑑− 𝐴𝑙𝑜𝑛𝑒𝑅𝑒𝑡𝑎𝑖𝑙+𝑥5∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘𝑇𝑟𝑎𝑛𝑠𝑖𝑒𝑛𝑡∧𝑉𝑖𝑠𝑖𝑡𝑜𝑟 𝐻𝑜𝑢𝑠𝑖𝑛𝑔+𝑥6∗ h𝐵𝑒𝑛𝑐 𝑚𝑎𝑟𝑘 h𝑊𝑎𝑟𝑒 𝑜𝑢𝑠𝑒

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Example

Utilize non-linear optimization to establish weights which relate medians of buildings with established benchmarks to the median of Navy-specific building type

Medical Facilities Office

Primary & Secondary

SchoolsStand-Alone

RetailTransient &

Visitor Housing

WarehouseMaintenance

FacilityMedian

Median EUI

51.45 82.72 44.50 61.52 83.77 18.13

= 31.70Weight 0.11 0.06 0.13 0.08 0.06 0.34

Medical Facilities Office

Primary & Secondary

SchoolsStand-Alone

RetailTransient &

Visitor Housing

WarehouseMaintenance

FacilityBenchmark

Benchmark 124.1 35.5 54.5 50.5 38.1 17.2= 34.3

Weight 0.11 0.06 0.13 0.08 0.06 0.34

Multiply established benchmarks by respective weights to derive benchmark for Navy-specific building type

This process is repeated for each building type – climate zone combination

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Results

1A 2A 2B 3A 3B 3C 4A 4C 5A 5B 6A

Clubs & Dining Facilities 69.0 101.2 150.5 95.7 83.1 47.6 58.5 46.0 102.7 84.9 81.3

Communications Facilities 223.0 119.2 166.5 128.6 190.4 118.7 127.5 144.5 156.5 68.2 121.8

Community Facilities 77.2 65.4 56.3 71.9 45.7 58.8 51.9 61.1 62.5 53.0 89.6

Data Center 318.9 137.7 114.8 125.3 311.4 293.2 74.2 90.6 99.6 72.7 111.5

Family Housing 38.4 37.8 38.1 38.8 36.4 32.8 42.5 39.1 47.7 42.6 50.8

Fuel & Liquid Dispensing & Storage Facilities 76.1 102.8 18.1 58.4 79.5 37.0 83.0 44.5 83.5 37.7 66.2

Gate / Guardpost / Watch Tower 123.5 146.0 116.6 109.4 70.5 24.0 104.8 61.8 100.8 55.5 89.0

Land, Waterfront and Coastal Operations Facilities 60.0 70.5 54.9 38.0 46.2 22.9 51.7 61.2 84.2 38.2 58.3

Maintenance Facilities 48.3 49.6 34.3 36.6 42.3 27.2 60.9 66.7 56.0 47.0 86.9

Medical Facilities 133.6 131.2 124.1 126.2 116.5 106.1 121.7 109.7 124.3 115.9 128.5

Office 35.3 34.7 35.5 33.6 32.7 28.5 34.2 31.6 36.4 33.9 38.1

Parking & Open Structures 22.0 30.1 40.7 8.0 9.2 13.9 30.1 5.1 14.0 5.7 8.8

Power / Heat Generation 241.7 222.1 117.4 95.3 145.7 43.4 69.1 181.1 75.4 146.1 39.8

Primary & Secondary Schools 55.4 52.9 54.5 49.1 48.8 42.1 48.5 48.1 49.7 52.8 50.4

Production Facilities 75.3 69.6 93.1 31.9 42.1 85.3 68.9 75.4 83.2 44.8 89.5

Public Safety & Base Services 84.7 56.0 35.9 52.5 47.4 46.7 47.7 77.5 87.1 33.8 96.1

RDT&E Facilities 28.5 53.0 79.7 119.9 127.5 55.7 49.2 96.8 79.4 50.7 76.8

Stand-alone Retail 50.8 47.4 50.5 46.3 47.1 40.9 48.7 49.9 51.7 55.3 54.0

Supermarket 159.2 138.3 176.8 116.2 149.4 190.7 114.8 93.2 172.4 81.4 181.0

Training Facilities 74.7 53.3 60.5 53.4 44.6 41.7 41.6 101.8 88.7 38.6 31.3

Transient & Visitor Housing 38.4 37.8 38.1 38.8 36.4 32.8 42.5 39.1 47.7 42.6 50.8

Unaccompanied Personnel Housing 38.4 37.8 38.1 38.8 36.4 32.8 42.5 39.1 47.7 42.6 50.8

Utility Infrastructure 92.0 83.6 203.3 51.2 118.8 121.3 65.7 63.3 50.4 72.7 151.1

Warehouse 11.9 13.7 17.2 16.4 15.4 16.4 20.5 18.8 25.8 21.2 26.8

Water, Sewage and Waste Facilities 45.9 37.6 47.8 37.2 43.5 40.2 56.3 55.4 41.7 26.4 68.3

1A 2A 2B 3A 3B 3C 4A 4C 5A 5B 6A

Clubs & Dining Facilities

Communications Facilities

Community Facilities

Data Center

Family Housing 38.4 37.8 38.1 38.8 36.4 32.8 42.5 39.1 47.7 42.6 50.8

Fuel & Liquid Dispensing & Storage Facilities

Gate / Guardpost / Watch Tower

Land, Waterfront and Coastal Operations Facilities

Maintenance Facilities

Medical Facilities 133.6 131.2 124.1 126.2 116.5 106.1 121.7 109.7 124.3 115.9 128.5

Office 35.3 34.7 35.5 33.6 32.7 28.5 34.2 31.6 36.4 33.9 38.1Parking & Open Structures

Power / Heat Generation

Primary & Secondary Schools 55.4 52.9 54.5 49.1 48.8 42.1 48.5 48.1 49.7 52.8 50.4

Production Facilities

Public Safety & Base Services

RDT&E Facilities

Stand-alone Retail 50.8 47.4 50.5 46.3 47.1 40.9 48.7 49.9 51.7 55.3 54.0

Supermarket

Training Facilities

Transient & Visitor Housing 38.4 37.8 38.1 38.8 36.4 32.8 42.5 39.1 47.7 42.6 50.8

Unaccompanied Personnel Housing

Utility Infrastructure

Warehouse 11.9 13.7 17.2 16.4 15.4 16.4 20.5 18.8 25.8 21.2 26.8

Water, Sewage and Waste Facilities

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Energy Exchange: Federal Sustainability for the Next Decade17

Data Gap Analysis

CIRCUITS Information : Utility Allocation

1. Metered2. Allocated

3. Estimated

No consumption No EUINo BM

????

Note: Identifying the gaps in CIRCUITS has increased reporting

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Energy Exchange: Federal Sustainability for the Next Decade18

Gap Filling Methodology • Purpose: Leverage statistical analysis to develop an estimate of facility energy use intensity (EUI) based

on available data on facility characteristicsYear Built Condition Rating Region Climate Zone

Data

Preparation

•Remove outliers and multiuse facilities

Candidate Variable

Identificati

on•For each building type, apply statistical tests to identify which variables to include in model development process

Statistical

Model

Developme

nt•Develop linear regression models for each building type using every combination of statistically significant explanatory variables

Assess

Estimation Accur

acy•For each building type, compare quality of statistical model estimates to region or climate zone median values and choose most accurate model

Apply

Gap Filling

•Use most accurate estimation method (model, region median, or climate zone median) to fill gaps in facility energy consumption

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Energy Exchange: Federal Sustainability for the Next Decade19

NSGEM: Plan

Navy Shore Geospatial Energy Module (NSGEM) is an interactive web map that uses information from authoritative data systems to visualize monthly energy use Navy-wide.More specifically, NSGEM: • Color codes all Facilities based on their energy use benchmarks• Assesses data completeness within authoritative sources and encourages users to update missing or

incorrect information• Produces energy consumption reports for various levels—Navy, Installation, Region, Facility and Tenant

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Plan

Check also with AM to make sure the building is not on the demo list for at least another 20 yearsVerify with Sustainment Restoration and Modernization the building does not have other planned initiatives

Proceed with the eROI Tool

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Energy Exchange: Federal Sustainability for the Next Decade21

Evaluate Project ROI

Energy Return on Investment (eROI) is a user-friendly web-enabled tool that facilitates project development and ensures financial viability. More specifically, eROI:• Ensures that project investments are comparable and yield favorable returns• Develops a weighted score using energy and non-energy benefits (i.e., energy reliability,

regulatory compliance, infrastructure improvements, operations and maintenance avoidance) • Informs Installation energy managers of funding likelihood via weighted scoring• Centralizes energy project data circa FY12

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Energy Exchange: Federal Sustainability for the Next Decade22

Project lifecycle is updated in the Energy PortfolioSavings are captured based on project status

Track

• Planned - a project has not been accepted into a program of record.• Programmed - the project has been reviewed, approved, and included in a program of record. Project

should be undergoing planning/design through the acquisition process, up to award• Awarded - Project has been awarded and is currently under construction• Operational - Project has been completed and accepted by the government. If required, project should

be undergoing measurement and verification of energy savings during the payback period.

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Energy Exchange: Federal Sustainability for the Next Decade23

Metering

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• Enterprise solutions and data transparency has helped us with decision making and collaboration amongst the stakeholders.

• These solutions were developed keeping the end users in mind. If the process was not to serve a purpose across the enterprise and at any level (F, I, R,N) it would not be incorporated in the system of systems.

Summary

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Energy Exchange: Federal Sustainability for the Next Decade25

Thank you