This document discusses the development of a virtual 3D city model of Dundalk, Ireland to serve as a decision support tool. The project aims to (1) develop a dynamic simulation tool to assess building interactions and renewable technologies, (2) reduce energy consumption and emissions through energy conservation measures, (3) integrate new technologies to better manage supply and demand, and (4) optimize existing systems through demand response analysis. A pilot site model of Dundalk is being created using GIS data and 3D modeling software to test the tool's capabilities and allow more in-depth energy analysis of specific buildings. Initial actions include accumulating mapping data, building modeling, and designing algorithms to incorporate energy forecasting and tariff analysis across building

1. Towards the development of a
virtual 3D city model: Dundalk,
Ireland
Aidan Melia – Project Manager
Integrated Environmental Solutions
All-Energy 2016 - Sustainable and Smart Cities Conference, May 4-5, Glasgow

2. A Virtual City Model
VCM
Dynamic
Simulation
Modelling
Indicators
Algorithms
3D ModelEsri
CityEngine
IES Virtual
Environment
Energy
Optimisation
City
Performance

3. Project Objectives
Develop a decision support tool that will provide dynamic assessment of the
interactions between buildings, and Renewable Technologies and Information
Communication Technologies…
Four Key Strands….

4. Concept
PLAN: development through a dynamic simulation,
energy-based decision support tool, which takes into
account the buildings and their interaction with the
urban environment

5. Concept
REDUCE: energy consumption and carbon emissions
through an indication of the impact of best practice
Energy Conservation Measures via DSM

6. Concept
INTEGRATE: new technologies and services in a city to
better manage supply and demand, via DSM, GIS & 3D
urban modelling that will reliably inform the impact of
the integrated technologies

7. Concept
OPTIMISE: existing installed systems to enable local
balancing through demand response analysis and tariff
analysis via DSM

8. Concept
• Emission Reduction
• Energy Efficiency
• Cost Reduction

9. Main Outcomes
DSM
Environment
Methodology
for Evaluation
&
Quantification
Compilation of
Indicators
Link GIS with
Real City Data
Balance energy
consumption offer
investment
support
Integrate spatial,
geographic, and
building
information
Demand
Response, pricing
assess through
simulating city
model
Measure &
evaluate
parameters on
urban
environment

10. Dundalk Pilot Site
• Located halfway
between Dublin and
Belfast
• Population: 37,000
• Used for:
– Testing wider
masterplanning
capabilities
– More in depth energy
analysis of specific
buildings

11. Initial Actions – City Model
• Accumulation of OSI
Mapping for model
base-layer
• LiDAR Height Data
• Imported into Esri
CityEngine Software
• Buildings extruded

12. Initial Actions – DSM

13. Initial Actions – Compilation of Indicators

14. Initial Actions – Compilation of Indicators

15. Initial Actions – Background Algorithms
• Designed to take into consideration energy
forecasting and tariff analysis
• Will be tested across groups of building
• Aimed to be scaled up towards city level

16. First Prototype of VCM
Aims
Incorporate
initial dashboard
First Batch of
Indicators
Direct link to
simulation
engine

17. First Prototype of VCM

18. First Prototype of VCM

19. Thank you!
Aidan Melia
Project Manager, Integrated Environmental Solutions Ltd.
Email: aidan.melia@iesve.com
Web: www.iesve.com
@INDICATE_EU
www.indicate-smartcities.eu