Renewable Energy Siting and Visualization Tool
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With the growing support for Renewable Energy resources, learn how Integrated's premiere application Geomancy Decision Engine can be applied to determining asset placement for this budding industry. Originally presented at Newleef (Newfoundland & Labrador's Green Economy Conference) by Jimena Martinez Ramos, this presentation outlines the potential for customization and location of resource placement with this Add-In to ArcGIS.
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Renewable Energy Siting and Visualization Tool
- 1. Renewable Energy Decision Support Engine NEWLEEF 2016 St. John’s, NL. October 12th 2016 Jimena Martinez-Ramos
- 2. UN Conference COP21 - Paris AgreementBy U.S. Department of State from United States [Public domain], via Wikimedia Commons
- 3. 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
- 4. 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
- 5. ?
- 6. 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
- 7. WELL FIELD Infrastructure Planning is Resource Agnostic…
- 10. Geomancy Feng Shui of Facility Siting SCENARIOS - WHAT IF…? Weighting schema Constraints Datasets 4 3 1 3 Hydrography Environmental Land ownership Roads, etc.
- 12. 4 3 1 3 Geomancy Feng Shui of Facility Siting SCENARIOS - WHAT IF…? Weighting schema Constraints Datasets
- 14. Geomancy Basics Project Datasets Scenarios Decision 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)
- 16. 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
- 17. 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
- 18. Case Study – No Input Data Shown
- 29. 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
- 30. To acquire more information about Geomancy, please contact Integrated Informatics at… Jimena Martinez-Ramos jmramos@integrated-informatics.com Twitter: @iii_USA LinkedIn: https://www.linkedin.com/company/integrated-informatics-inc- Web: integrated-informatics.com
Editor's Notes
- The Paris Agreement, signed during the 2015 United Nations Climate Change Conference, was established to reduce emissions and its environmental impact. Canada is highly committed to the agreement and has increased investments and policies in green infrastructure, clean technology, and renewable energy at federal, provincial, and municipal levels. These efforts have encouraged green economy growth in Canada -- especially in NL.
- The Paris Agreement, signed during the 2015 United Nations Climate Change Conference, was established to reduce emissions and its environmental impact. Canada is highly committed to the agreement and has increased investments and policies in green infrastructure, clean technology, and renewable energy at federal, provincial, and municipal levels. These efforts have encouraged green economy growth in Canada -- especially in NL.
- The Paris Agreement, signed during the 2015 United Nations Climate Change Conference, was established to reduce emissions and its environmental impact. Canada is highly committed to the agreement and has increased investments and policies in green infrastructure, clean technology, and renewable energy at federal, provincial, and municipal levels. These efforts have encouraged green economy growth in Canada -- especially in NL.
- At Integrated Informatics, we have been interested in how we may join the green economy movement and fit in this new paradigm, being primarily an Oil & Gas support and consultancy company focusing in software development and data management. One way we see fitting into this movement is through software development – In particular, our Geomancy Decision Engine application.
- With experience in both software development and data management, we have encountered many aspects of Energy and Utilities industries operations. With the knowledge and experience that comes from these encounters, we were able to create the Geomancy Decision Engine – also referred to as the “Feng Shui of Facility Siting”. In the last four years, we have invested in developing a flexible, scalable, and highly customizable Decision Support Engine. Although when initially conceived this application focused primarily on well fields and Oil and Gas facility siting, the flexibility and variety of options of this software allows us to rethink it, adapting it to the Renewable Energy sector -- beginning first with Wind Energy.
- The purpose of this Decision Engine is to answer a simple question that often arises in the planning stage of Utility Infrastructure projects… What are the optimal placements for assets, gathering systems, and road networks alike? In this case, “optimal” refers to the cheapest, fastest, safest, and most environmentally friendly option that also follows all required restrictions and constraints as outlined by both the industry and the organization. To answer this question, the analyst addresses the Decision Engine by adding criteria and constraints through various customizable weighting schemes…and finally, evaluates options as they appear.
- The purpose of this Decision Engine is to answer a simple question that often arises in the planning stage of Utility Infrastructure projects… What are the optimal placements for assets, gathering systems, and road networks alike? In this case, “optimal” refers to the cheapest, fastest, safest, and most environmentally friendly option that also follows all required restrictions and constraints as outlined by both the industry and the organization. To answer this question, the analyst addresses the Decision Engine by adding criteria and constraints through various customizable weighting schemes…and finally, evaluates options as they appear.
- To better answer these questions, Geomancy allows the inclusion of Scenarios – or better yet, “What If” situations. For instance, what if we want to add an environmental area as a No Go (i.e., non-constructable) area in an already established scenario? What if we want to modify the weighting placed on existing infrastructure? When the contents of a Scenario are altered, Geomancy will recalculate the options to provide a new optimized solution
- For example, results for real data and circumstances are shown.
- To achieve the most accurate and customizable results, the Geomancy Decision Engine operates on a Project/Scenario Based system. Nested within the framework, the Project contains the datasets while the Scenario – or ”Scenarios”, depending on how many questions the analyst may wish to ask of the data – features specific user-applied weights, options, and combinations of the overarching data. This model is ideal for environments which see a need for refreshing solutions, ensuring their accuracy and repeatable as requirements and plans evolve.
- The application is accessible as an Add-In to ArcGIS, with the bulk of its tools available from a central toolbar.
- The toolset is designed to produce a variety of results, all of which are based on a primary solution – the Constructability Surface. This solution surface provides visual details on the locations within a study area are the most optimal – and likewise, least optimal – on which to build.
- In order to provide more insight into the Constructability Surface, the Contribution Surface shows the primary factors that influence the varying levels of Constructability. The categorization in which the input datasets fall shows what makes a location better or worse to site assets and infrastructure.
- As an example, the following Case Study will show the process of adding basic data (e.g., roadways, rivers, construction and built areas) and specific data (e.g., bird corridors, wildlife areas), as well as running Scenario processing. From this, potential asset locations may be determined from which road networks may be placed.
- As shown here, new Layers representing wetlands, rare plants, and wildlife corridors (caribou and birds) are added to the base data.
- Once datasets are loaded into a Project with the proper settings, the Scenario will determine the new areas deemed as No Go as impassible. From there, the sites that would otherwise be placed in those location will be marked as red, following the spacing constraints.
- After processing is initially finished and solutions are determined, the analyst may decide to modify settings – or even reconsider inputs/specifications, if desired. For this instance, a new Scenario will be generated to determine asset locations based on those areas with the highest elevation. Because of this criteria, the solutions will reflect those locations with more wind presence that would be better candidates for windmill placement. To do so, a new Study Area may be established and the Scenario run against it.
- When the site placement is processed, potential sites appear only on the highest area – taking into account the constraints for wildlife areas, streams, wetlands, etc. Following this, the analyst may run the next step – which would be determining road alignment.
- This road network access is determined based on the consideration of existing roads – as well as the optimal and most cost-effective option, in conjunction with the entered constraints. Various options can be run here, include site to site, site to site and site to existing roads, or site to existing roads. With these options, the analyst also has the opportunity to considered only a portion of existing roads, leaving out types like main roads or highways.
- In addition to the surface-based solutions, the Geomancy Decision Engine also produces a variety of reports to further aide in the planning process.
- Other than providing sound solutions, clients have realized a number of additional improvements to their planning workflows.