Renewable Energy Decision Support Engine

Renewable Energy

Decision Support Engine

NEWLEEF 2016St. John’s, NL. October 12 t h 2016

Jimena Martinez-Ramos

UN Conference COP21 - Paris AgreementBy U.S. Department of State from United States [Public domain], via Wikimedia Commons

UN Conference COP21 - Paris AgreementBy U.S. Department of State from United States [Public domain], via Wikimedia Commons

NRCAN. Canada’s wind technology roadmap report

UN Conference COP21 - Paris AgreementBy U.S. Department of State from United States [Public domain], via Wikimedia Commons

NRCAN. Canada’s wind technology roadmap report

NL Gov. Climate Change Action Plan

IRENA Report

?

Highly flexible and customizable Decision Support Engine based

on GIS.

Wide range of capabilities across disciplines (e.g., Environmental, Engineering, and Geosciences)

and asset types.

Results directly usable to both evaluate and visualize the

options available for one or more design bases.

Geomancy Feng Shui of Facility Siting

WELL FIELD

Infrastructure Planning is Resource Agnostic…

WIND FARMBy geography.org.uk

SOLAR FARMBy geography.org.uk

Geomancy Feng Shui of Facility Siting

SCENARIOS - WHAT IF…?

Weighting schema

Constraints

Datasets

4313

HydrographyEnvironmental

Land ownership

Roads, etc.

4313

Geomancy Feng Shui of Facility Siting

SCENARIOS - WHAT IF…?

Weighting schema

Constraints

Datasets

GeomancyBasics

Project

Datasets

ScenariosDecision Engine

Reporting and Visualization

Project and Scenario-Based System:◦ Shared datasets across the project◦ Scenarios used for varying parameters◦ Scenarios can be run across the full project

extent or using a sub-set study area

Configurable and Sensible Defaults:◦ Experts can change almost all settings◦ Defaults can be based on client input

Strong focus on Data Management:◦ Dataset re-use and refresh◦ Handling of spatial references

Designed for Corporate Environments:◦ Projects setup and run from the network◦ Extension to ArcGIS delivered as an Add-in◦ Fully documented (tools, models, training)

Geomancy Decision Engine

Create Project Data loading

Geomancy data: Data Integrity

Default or customized weight schema

Basic: roads, hydro, Land cover, wet areas

Sector specific: noise, visibility, bird routes

Scenarios

Add datasets to scenarios

Build constructability surface (where to build or not)

Build contribution surface (why)

Set No-Go areas

Analysis

Potential sites (windmills)

Linear network among sites

Connection to the main road network

Reporting

Geomancy workflow

Constructability

Create Project Data loading

Geomancy data: Data Integrity

Default or customized weight schema

Basic: roads, hydro, Land cover, wet areas

Sector specific: noise, visibility, bird routes

Scenarios

Add datasets to scenarios

Build constructability surface (where to build or not)

Build contribution surface (why)

Set No-Go areas

Analysis

Potential sites (windmills)

Linear network among sites

Connection to the main road network

Reporting

Geomancy workflow

Contribution

Case Study – No Input Data Shown

Geomancy Reporting

What improvements and efficiencies are clients realizing?◦ Incorporation of the full team ideals, even when working in isolation the

inputs from others are always considered by the decision engine◦ Fully investigating multiple options, identifying options that provide

substantial financial savings while managing impact◦ Generate results that reduce impact and investment◦ Reduce effort needed to evaluate options◦ Provide a means of performing what-if scenarios◦ Keep pace with (or ahead of) planning process◦ Produce reliable and repeatable results◦ Increase consistency in the planning process◦ Improve documentation of siting choice rationale

Geomancy Improving Efficiency

To acquire more information about Geomancy, please contact Integrated Informatics at…

Jimena Mart inez-Ramos

jmramos@integrated- informatics.com

Twitter: @ii i_USA

LinkedIn: https:/ /www.l inkedin.com/company/ integrated-informat ics- inc-

Web: in tegrated-informatics.com