Energy Saving Trust - Esri UK Annual Conference 2016

Home Analytics Devon:Using ArcMap and ArcGIS Online to drive energy efficiency

17 May 2016

Sean LemonLead Consultant (Energy Saving Trust)

2

Agenda• Who we are and what we do

• Devon case study

• What were the main challenges?

• How did we overcome these challenges?

• Demonstration

• Key learnings and next steps

Home Analytics Devon17 May 2016

3

Energy Saving Trust


• Mission: Helping everyone save energy every day

• Work with a variety of public and private sector stakeholders

• Core sectors:

• Energy efficiency

• Renewable energy

• Fuel poverty

4

Case Study

5

Case Study: Devon


• Client: Devon County Council and 8 District Councils, Plymouth and Torbay

• Project: Modelling and mapping of Energy Performance Certificate (EPC) data

• Timeframe: Apr 2015 – Feb 2016

6

Home Analytics Devon


Purpose: • Quantify potential for energy efficiency

measures

• Target homes for retrofit schemes

• Aid funding application submissions

• Inform housing, energy and fuel poverty strategies

Phase 1: Create an address-level housing stock database

7

Home Analytics Devon


Purpose: • Perform quick and useful queries

• Produce maps for funding applications, reports, etc.

• Allow non-technical users to explore the data

• Reduce reliance on internal GIS teams

Phase 2: Create an online mapping platform to visualise the data

8

The project plan


1 2 3 4

Data Collection Data Modelling Database Production Data Visualisation

9

Where does GIS fit in?


1 2 3 4

Data Collection Data Modelling Database Production Data Visualisation

10

MainChallenges

11

Data modelling


Requirements: • Inputs: OS Master Map and OS

Address Base Plus

• Replicable for all of GB (27M homes)

• For each address, determine property type, block ID, distance to gas grid and building footprint

Challenge: Develop a spatial model to determine key property variables

12

Data visualisation


Requirements: • Allow users to conduct quick and useful

queries on the database

• Visualise 10-15 layers of building characteristics at the address level

• Low annual costs (license fees, hosting)

• Run on various browsers

Challenge: Create a high performance web app with minimal on-going costs

13

OvercomingChallenges

14

Data modelling


Solution: • Provided model logic to Esri UK

• They coded the assumptions into ArcMap and developed an ArcPython script to:

• Pre-process OS layers

• Apply logic and export results to CSV

• Loop through all grid squares in GB

15

Data visualisation


Solution: • Hosted workshops with LA users to

prioritise functional requirements

• Collected information on their software and browser technology

• Researched various platforms for web mapping

16

Esri Maps 4 Cognos (EM4C)


17

Google Fusion Tables


18

QGIS2Leaf, CartdoDB and Mapbox Studio


19

ArcGIS Online


20

What did we find?


• Many options for building, styling and hosting web maps

• Map rendering depends on type of map service

• Open-source options have limitations:

• Browser compatibility

• Requires web development skillset

• High hosting charges

21

Final solution


ArcMap• Building polygons symbolised by

property characteristics

• Visibility thresholds aligned with visibility of OS base layer

• Map layers and tile schemes used to generate map tile packages

• Packages uploaded to AGOL

ArcGIS Online• Layers combined into a single map

• Tile layers ‘buddied up’ with feature service layer

• Web AppBuilder used to add widgets and functionality

• Final web app shared with users via Devon user group

22

Demonstrationhttps://www.youtube.com/watch?v=Yd2868s_8_0

https://www.youtube.com/watch?v=Yd2868s_8_0

23

Lessons Learned

24

Lessons learned


• ModelBuilder and ArcPython are effective tools for automating tasks in ArcMap

• Open source web mapping options exist but beware other costs and constraints

• Tile caches are an effective way to render large datasets

• “Buddying up” a feature and tile service allows you to mimic vector tiles

25

Lessons learned


• If you have an ArcGIS desktop license, then you’re also entitled to an ArcGIS Online account

• Web AppBuilder has a considerable amount of out-of-the-box functionality

• Esri cloud hosting is a cost-effective way to host large web map services

26

Next steps


• Southend-on-Sea Borough Council:

• Bringing housing, energy and health data together in web maps

• Scotland Data Hub:

• Making EPC data openly available

• ArcMap – used to build tile packages

• ArcGIS Online – used to build web apps to help users engage with the data

Thank you!

Sean Lemon Lead ConsultantEnergy Saving Trust

[email protected]

mailto:[email protected]

Software

Energy Saving Trust - Esri UK Annual Conference 2016