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Energy Auditing and Data Quality: A Collaborative Approach between Implementation and Software

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(1)

Thursday, October 1, 2015

Andy Bardwell – Ph.D., CEO - Optimiser

Energy Auditing and Data Quality:

A Collaborative Approach between

Implementation and Software

(2)

The Partnerships

Software Capabilities

❏ Residential, Weatherization, Multi-Family

❏ Large and Small Commercial

❏ HPwES, HES & HPXML Standards

❏ Program Management

GoodCents

Integrated DSM Provider

Roanoke Electric Cooperative

Implementation

(3)

Residential and commercial energy audit software, combining

accuracy, streamlined workflow and custom reports

Features

Utility-calibrated energy modeling

Low-cost customized solutions to meet program requirementsAutomated file handling and data extraction and integrationCustomizable vector-PDF reports

Supports

Residential, Multifamily, and Commercial Audits Utilities, Implementer and Contractors

Weatherization Agencies

(4)

The approach Market knowledge and Program Design Integrated Technology Platform GoodCents Connect Innovative Customer Acquisition Proven Field Operations Turn Key Program Results

GoodCents is an integrated DSM provider that values Excellence in quality service. We strive to provide our Utility partners with the best program Solutions to meet your complex energy goals while delivering an integrated approach that streamlines efforts and Increases Results.

About GoodCents

(5)

Collaborative Efforts

GoodCents Needs

Improve program efficiency and consistency with a goal

of ensuring superior EM&V outcomes

Higher quality program data

Data security to meet and exceed industry standards

Capture and data element evolution

Custom reports produced for 4 utilities

In-field quality assurance processes

Complete data capture

Process assurance

(6)

The Partnership

Required Software Capabilities

❏ Multiple programs in one software

❏ Auto-switch to correct utility version

❏ Program-specific workflow

❏ Program-specific quality management

GoodCents Goals

❏ Elevate M&V outcomes

❏ Increase program participation

(7)

Program requirements and “black box”

file submission results in rejected files ➥ added auditor or desk reviewer time

Insufficient feedback to auditors to

correct rejection

➥ added auditor time

The Challenge

Poor quality control necessitates more field reviews

➥ added field reviewer time

Incomplete or incorrect data inputs results in

compromised program data

➥ added data handling time (or bad results)

Compromised program data leads to lost energy and

(8)

Software automation to aid the completion of the data

inputs

○ Required Fields ○ Data Types

○ Allowable Entry Ranges

Default values when practical and needed

On-entry page notifications

Post audit completion review

Assurance of more accurate report generation

Assurance of successful file submission

Integration with legacy data

(9)

Required Collaboration

Program Rules Establishment – SOW Driven

Project Team Engagement

○ Implementation

Acceptable range development

Data type allowable

Process milestone identification

Point of contact establishment for issue identification and testing

○ Software

Active data validation enablementError reporting and linking

Point of contact establishment for issue logging and

implementation

(10)

Ever-present ability to communicate:

Sends complete status report to speed diagnosisCommunicates directly to development team

Automated ticket generation encourages program and software

improvements

(11)

Use of messaging to ensure process

adherence

Requirement of fields at time of entryAssurance of completed data for analysis

(12)

Appliance testing to ensure safety of

customer and auditor

Ambient condition testing and required

plan of action

(13)

Validation of proper and

allowable data entry

Exception handling to

explain variances

(14)

Automate Forms: Work Authorization

Work Authorization

Automated form generation &

(15)

Pre-implementation

○ Rejected Audits ○ Incomplete Data ○ Erroneous Data

○ Lower Realization Rates

Post-implementation

○ Improved Process

○ Clean Data and Analytics ○ Accurate Customer Reports ○ Higher Realization Rates

(16)

Results

More effort + poor result

❏ add desk review time

❏ add auditor time

❏ add field review time

❏ add data handling time

and poor results

❏ add EM&V time,

expense and lost

Pre-implementation

Less effort + better result

❏ nearly eliminated

❏ cut in half

❏ nearly eliminated

❏ flexible, automated

and reliable

❏ no surprises, less

effort, more

Post-implementation

(17)

Collaboration Impact

DSM Report by The Energy Center of

Wisconsin for the Indiana Utility

Regulatory Commission:

Documents the benefits, costs and

energy savings from collaboration

$3.00 in benefits for each dollar

(18)

Collaborative relationship between implementation

and software is paramount

Clear communication and identification of changes

and enhancements

Active validation of data entry to ensure data

quality and process adherence

Summary of quality assurance prior to data

submission and customer report generation

Established points of contact to form

feedback loop

(19)

About Roanoke EC

Upgrade to $ave Program

Energy Efficiency and Conservation Loan Program

(EECLP)

Progressive Co-op Focused on Community Service

2000 & 2005 National Rural Electric Co-op

(20)

Collaborative Efforts

Deliver low-risk on-bill-financing through Energy

Efficiency and Conservation Loan Program (EECLP)

Rapid servicing of Co-op Members

Consistent audits and accurate savings estimates

In-field agreement generation and signature capture

In-field quality assurance processes

Custom report production

Complete data capture

Process assurance

(21)

The Partnerships

Required Software Capabilities

❏ Low Income

❏ Heat Pump Conversions

❏ On-Bill-Financing Analysis

❏ On-Bill-Financing Agreement Production

Roanoke Electric Cooperative Goals

❏ Energy Efficiency and Conservation Loan Program (EECLP)

(22)

Without simple, bullet-proof software for

current staff

➥ risk of improper audits

Hundreds of Co-op Members already

waiting for program

➥ compromise Member relationships

The Challenge

Risk of inaccurate long term project energy savings

➥ potential program losses

Avoid including behavioral or inappropriate improvements

➥ risk of unrealized savings

Complex financial analysis to find break-even package

➥ require multiple what-if audits tested in spreadsheet

Complex legal agreement prepared by auditor

(23)

The Challenge

1. Conduct audit

2. Transfer savings to spreadsheet 3. Test Pass/Co-pay/Fail

(24)

Automated QA ensures quality of required data

Custom improvement lists and defaults

Custom step-by-step audit finalization process

Custom improvement package builder

Custom report and Form generation

Built-in EECLP on-bill financing analysis

Pre-filled EECLP Member Co-op agreement

In-field signature capture

(25)

Simple and Robust

Custom project completion Simplified step-by-step audit Simplified inputs

(26)

Control Improvements

Program-specific improvements

(27)

Automated QA

Program-specific list of

requirements for completion

1. Each requirement hyperlinks to needed change 2. Line removed after correcting issue

(28)

Automated QA

1. Each requirement hyperlinks to needed change

2. Line removed after correcting issue

(29)

Auto-Build Packages

1. Auto-build Packages 2. Evaluate financials 3. Pick Package 4. Prepare forms & agreement

(30)

Document Collection

❏ Generate legal agreement

❏ Agreement pre-filled

❏ Collect signatures

(31)

Document Collection

Improvement descriptions

(32)

Results

Complex + high risk

risk of improper audits

delay helping members

risk unrealized savings

potential $ losses

complex financial

forms

❏ risk errors and lost

Pre-implementation

Post-implementation

Simple + bullet-proof

greatly reduced

waiting list served

greatly reduced

greatly reduced

automated

completion

(33)

Andy Bardwell

Ph.D., CEO

[email protected]

References

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