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2019 Deloitte Power & Utilities Conference Power is not static December 3-4, 2019 Bits, Bytes & Barrels” webinar

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Page 1: Gaining insights: Geospatial - Deloitte United States€¦ · Geospatial sensors. Geospatial analytics: the collection, visualization, and analysis of data that can be tied to a geographic

2019 Deloitte Power & Utilities ConferencePower is not staticDecember 3-4, 2019

Bits, Bytes & Barrels” webinar

Page 2: Gaining insights: Geospatial - Deloitte United States€¦ · Geospatial sensors. Geospatial analytics: the collection, visualization, and analysis of data that can be tied to a geographic

Gaining insights:

Geospatial and the utility

Robert Renner, specialist leader, Deloitte & Touche LLP

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Copyright © 2019 Deloitte Development LLC. All rights reserved. 3

Facilities Routes Partners/competitors Service areas Customer addresses GPS locations—customers

Geospatial data

Spatial analysis – Perform proximity or statistical analyses to detect patterns or trends Visualizations – View

assets with other data

Geospatial software

Mobile / GPS

Smart labels / RFID

Internet of Things

Geospatial sensors

Geospatial analytics: the collection, visualization, and analysis of data that can be tied to a geographic location on, above or below the Earth’s surface.

Location intelligence: Leveraging the power of where to reveal insights from your enterprise data

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Copyright © 2019 Deloitte Development LLC. All rights reserved. 4

Geographic Information Systems (GIS) are critical to any utility’s business, and location information is at the heart of almost everything you do in utilities - from field operations to financial analytics

Location matters

Identifying locations at risk or in need of maintenance

Integrate with OMS/ADMSModel revenue

Real-time tracking and automated vehicle location

Integrate with SCADA

Support improved data management

GIS Mobile support for field crews

Customer care and billing, smart meter integration

Integrate with work and asset management systemsAsset design /

system of record

Scheduling and dispatch management

Analytics, visualization, and reporting

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• The Pipeline and Hazardous Materials Safety Administration (PHMSA) was challenged to gather more insight from its vast array of spatial data

• Geospatial analysts developed a predictive risk model for pipeline segments.

• Considered proximity to water reserves, ecologically sensitive areas and densely populated zones to calculate the impact of an incident.

• Pipeline risk was considered a function of vulnerability and impact. Results support better planning and mitigation

The Issue

The Approach

The Impact Users of the pipeline risk application can drill down on incidents, and specific sections of pipeline to identify areas with the greatest potential risk.

Case study 1: PHMSA pipeline risk analytics

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Approach: multi-variate correlation for distribution risk analyticsCase study 2: Major gas utility risk analytics

Data integration and cleansing

• Integrated 375,000 variables/data records from multiple sources, out of which 28,000 were cleansed to promote data integrity

Data analysis

• Assigned predictive risk factors and accounted for external factors to identify statistically significant correlations 490% more frequently than average

GIS location of risk factors

• Developed a user-friendly consumer layer to embed analytics into the utility’s cast iron replacement program and visualized composite risk scores using predictive model to highlight granularity

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Many relevant data sources and tools are available to help model and quantify risk from hurricanes and major storms to utilities and other types of critical infrastructure

Storm surge and flood risk to utility infrastructure

Pre-event models and data sources

• Utility infrastructure data

• LiDAR imagery/high resolution elevation data from USGS

− Many states have complete coverage of high resolution (20 ft) elevation data

• SLOSH models

− NOAA, FEMA, USACE collaborative modeling that simulates storm surge from Category 1 – 5 storms in multiple basins around the country

• Land use/land cover data

− National data available at moderate scale (30m resolution), many states and municipalities have higher resolution

• FEMA floodplain boundaries

Post Event

Source: https://www.nhc.noaa.gov/surge/slosh.php

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After major storms, FEMA and their partners in federal and state agencies publish massive volumes of spatial data

Storm surge and flood risk to utility infrastructure

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Geospatial technology provides a location-based view of an organization’s footprint. When combined with data from multiple sources, this information can be used to understand where risks may occur, analyze various mitigation techniques, and monitor risks and risk management actions over time.

Improving utility resilience through the use of geospatial risk analytics

Risk monitoring and controlGeospatial technology can provide a window into operations, allowing for risks or their effects to be recognized as they are realized.

Risk avoidance or mitigationGeospatial information can help analyze methods of avoiding or reducing risk by evaluating changes to business.

Risk identificationGeospatial information helps understand and predict where risk may occur

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This presentation contains general information only and Deloitte is not, by means of this presentation, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This presentation is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor.

Deloitte shall not be responsible for any loss sustained by any person who relies on this presentation.

About DeloitteDeloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.

Copyright © 2019 Deloitte Development LLC. All rights reserved.