GIS and Remote Sensing for Renewable Energy Transition Planning Course

Course Introduction

The global shift toward renewable energy is central to achieving climate goals, ensuring energy security, and driving sustainable economic growth. As countries transition from fossil fuels to clean energy systems, spatial intelligence plays a crucial role in identifying suitable sites, optimizing resource allocation, and ensuring equitable access.

Geographic Information Systems (GIS) and Remote Sensing (RS) technologies provide powerful tools for analyzing renewable energy potential. From solar radiation mapping to wind resource modeling and hydropower site selection, these technologies enable evidence-based decision-making in energy planning.

This course offers advanced training in the application of GIS and remote sensing for renewable energy transition planning. Participants will learn to integrate geospatial data with energy demand models, climate scenarios, and socio-economic indicators to design resilient and sustainable energy systems.

Emphasis is placed on renewable energy mapping, spatial planning, and monitoring energy infrastructure performance. Participants will gain practical experience using spatial datasets, Earth observation imagery, and analytical workflows to support renewable energy policies and investments.

Emerging topics such as smart grids, energy justice, offshore renewables, and climate adaptation will be explored. Case studies from different regions will highlight best practices in leveraging GIS and RS for national, regional, and local energy transitions.

By the end of the course, learners will be able to apply geospatial technologies to plan and manage renewable energy transitions that are technically sound, socially inclusive, and environmentally sustainable.

Who Should Attend

• Energy planners and renewable energy professionals
• GIS and remote sensing specialists
• Environmental and climate change experts
• Urban and regional development planners
• Policy makers in energy and infrastructure ministries
• NGOs working on sustainable energy access
• Researchers and academics in energy systems
• Professionals in smart cities and green economy projects

Duration

10 days

Course Objectives

• Equip participants with GIS and RS skills to assess renewable energy resources for sustainable transition planning globally.
• Train learners to map solar, wind, hydro, and biomass resources using spatial data, remote sensing imagery, and modeling tools.
• Enhance ability to integrate geospatial and climate data into renewable energy decision-making and infrastructure planning.
• Provide expertise in site selection for renewable projects using multi-criteria spatial analysis and environmental constraints.
• Develop capacity to assess land use trade-offs and ecological impacts of renewable energy development using GIS workflows.
• Build skills in modeling future energy demand and supply scenarios informed by geospatial and socio-economic datasets.
• Strengthen ability to evaluate energy access and equity, ensuring inclusive and just renewable energy transitions.
• Introduce participants to smart grids, distributed energy systems, and GIS-based energy infrastructure monitoring techniques.
• Foster analytical skills in using remote sensing for performance monitoring of solar farms, wind parks, and hydro facilities.
• Enhance understanding of offshore renewable energy mapping, including tidal and wind energy potential assessment.
• Build capacity in designing GIS-based decision-support tools for renewable energy policy and strategic investment planning.
• Prepare participants to apply geospatial tools in reporting progress toward SDG 7 (Affordable and Clean Energy) and SDG 13.

Comprehensive Course Outline

Module 1: Introduction to Renewable Energy Transition

• Global energy transition trends and challenges
• Role of GIS and RS in clean energy planning
• SDGs, Paris Agreement, and renewable energy goals
• Case studies of national renewable energy transitions

Module 2: GIS and Remote Sensing Fundamentals for Energy Planning

• Spatial data sources for renewable energy analysis
• Remote sensing datasets for solar, wind, and hydro studies
• Geospatial data integration and preprocessing workflows
• Data accuracy, validation, and limitations

Module 3: Solar Energy Mapping and Analysis

• Remote sensing of solar radiation and irradiance
• Spatial analysis for solar farm site suitability
• Monitoring solar infrastructure with satellite imagery
• Emerging technologies in solar energy mapping

Module 4: Wind Energy Resource Assessment

• GIS-based wind speed and direction modeling
• Remote sensing applications for offshore wind mapping
• Site suitability analysis for wind farms
• Case studies of global wind energy planning

Module 5: Hydropower and Biomass Energy Planning

• Remote sensing for hydropower site selection
• GIS analysis of watershed and river systems
• Mapping biomass energy resources with RS
• Sustainability challenges of bioenergy expansion

Module 6: Climate Change and Renewable Energy

• Climate data integration in energy planning
• Modeling renewable energy variability under climate change
• Risk assessment of renewable infrastructure
• Adaptation strategies for resilient energy systems

Module 7: Multi-Criteria Decision Analysis for Site Selection

• Frameworks for spatial decision-making in energy
• Weighting environmental, social, and technical criteria
• GIS-based suitability modeling workflows
• Applications in real-world energy projects

Module 8: Energy Access and Equity Mapping

• GIS for electrification planning in rural areas
• Remote sensing for off-grid and mini-grid development
• Spatial analysis of energy poverty and equity
• Inclusive planning for energy justice

Module 9: Smart Grids and Distributed Energy Systems

• Role of GIS in smart grid development
• Monitoring distributed solar and wind systems
• Spatial optimization of energy storage locations
• Case studies of decentralized renewable energy projects

Module 10: Monitoring Renewable Energy Infrastructure

• Remote sensing for operational performance assessment
• Change detection of renewable energy landscapes
• GIS for maintenance and asset management
• Innovations in satellite-based monitoring

Module 11: Offshore Renewable Energy Mapping

• Remote sensing of tidal and wave energy resources
• Offshore wind mapping and site suitability analysis
• Environmental constraints in offshore energy planning
• Opportunities and risks of marine-based energy systems

Module 12: Geospatial Modeling of Energy Demand and Supply

• Energy demand forecasting with GIS
• Spatial modeling of energy supply-demand balance
• Integration of socio-economic data in modeling
• Applications in regional and national energy planning

Module 13: Land Use, Environment, and Renewable Energy

• Land use conflicts in renewable energy expansion
• GIS for environmental impact assessments
• Remote sensing for biodiversity and habitat mapping
• Strategies for balancing energy and ecological goals

Module 14: Decision Support Tools for Energy Planning

• GIS dashboards for renewable energy management
• Scenario modeling for energy transition pathways
• Decision-support frameworks for policymakers
• Tools for stakeholder engagement in energy projects

Module 15: Case Studies and Best Practices

• Renewable energy mapping in Africa and Asia
• Lessons from European clean energy transitions
• Success stories in off-grid electrification
• Best practices in renewable energy data sharing

Module 16: Future Directions in Energy GIS and RS

• AI and machine learning for renewable energy mapping
• Cloud-based platforms for energy data processing
• Next-generation satellite missions for energy studies
• Future scenarios of global renewable energy transitions

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better