Discover how colleagues are designing and delivering energy of the future.
2022 Proceedings
Renewables: Planning and Analytics
, GIS Focal Point, Enel Green Power
, GIS Specialist, Enel Green Power Spa
, GIS Specialist, Enel Green Power Spa
, GIS & Data Management Specialist, Petrogas E&P
, Senior GIS Consultant, Exprodat Consulting Ltd
, Chief Operating Officer, Exprodat
, GIS Software Product Manager, Getech
Session Type: User Presentations
Session Level: All Attendees
Presentation 1 Title: GIS Implementation in Enel Renewables Projects
Presentation 1 Speaker 1: Veronica Campagnoni
Presentation 1 Speaker 2: Jyoti Rohodia
Presentation 1 Speaker 3: Ivani Vieira
Presentation 1 Abstract:
Enel in developing various digital advanced solutions for renewable power plant Development,Design&Execution processes to make the whole project digital-value chain more efficient and sustainable using GIS technology.Tools in the development phase, help us identify potential sites, cadastral management & visualize the scouting progress in a real time dashboard. In Engineering phase, python based GIS tool help us to perform Environmental multi-variate constraint analysis to identify environmental sensitivities in project area.Another inhouse model facilitates location optimization of wind power plants to avoid visual impact from "sensitive" points of view, located around project area. We also have internally designed an arcpy tool for automatically extracting useful slopes areas for optimal Solar panel installation area.Lastly, in construction phase, we created construction monitoring apps to update status of process completion. Also, we use machine learning tools to extract solar panel installed areas & estimate construction velocity using satellite images.In the end, we combine all the data generated in 3 phases in a 2D and 3D maps to visualize the timeline of Project development.
Presentation 2 Title: Estimation of Electricity Production Potential from Rooftop Solar Photovoltaic
Presentation 2 Speaker 1: Omran Al Rawahi
Presentation 2 Abstract:
Oman is following the need for sustainable development, and as part of its renewable energy goals, Oman announced in 2019 the initiative to install rooftop solar PV systems in approximately 100000 residential premises. Hence, this project is estimating the potential of electricity production in Seeb, Oman by installing a rooftop PV system on the building’s roofs and the expected reduction in CO2 emissions respectively. Then, compare the results with the actual electricity consumption. GIS Based methodology is used in this project using three primary datasets which are DEM, building footprint and electricity consumption. These datasets are processed and analysed using the ArcGIS platform. Furthermore, the methodology used two solar radiation models developed by Esri. The results show that up to 51% of the electricity consumed in the study area can be covered by the electricity produced from rooftop PV systems, which equals 2405 GWh/Year. However, the results are subjected to the used solar model, estimations and assumptions. Such a detailed project is rarely available for Oman, Furthermore, it can be used as a backbone to dig deeper into other related topics like the rebound effect.
Presentation 3 Title: Optimizing Offshore Wind Farm Layouts Using ArcGIS Pro
Presentation 3 Speaker 1: Adrian Birch
Presentation 3 Speaker 2: Chris Jepps
Presentation 3 Speaker 3: Richard Webb
Presentation 3 Abstract: There are three key factors when designing the optimum wind turbine layout for an offshore wind farm - also known as “micro-siting”: sea-bed environment, wind characteristics and electrical cable layout. In traditional offshore wind farm development planning these factors are usually considered in isolation, but research has shown that wind farm development costs, maintenance costs and operational performance can be significantly optimized through integrated planning. The ArcGIS technology stack, and specifically ArcGIS Pro, is uniquely positioned to meet this challenge, with its combined capabilities of spatial analysis, 3D visualisation/analysis and network analysis. This presentation showcases a toolkit developed for organizations planning offshore wind farms to rapidly create wind turbine layouts and quickly assess their suitability in terms of wake interference, power generation and cable network efficiency by leveraging the unique spatial analytics capabilities of ArcGIS.
