Welcome to OnSSET’s documentation!
Introduction to OnSSET
OnSSET is a bottom-up medium to long term optimization model. Its principle is simple. Using population settlements together with different geospatial characteristics and socio- and tecno-economic data the tool tries to identify the least-cost supply option in order to reach universial electrification in each location.
The least-cost technology mix and investments required to fully electrify a country within a defined timeframe (e.g. 2030) can vary significantly depending on demand and supply characteristics, such as:
The level of electricity access to be achieved in a country (kWh/person/year).
The current status and plans of the national electricity grid along with its associated costs.
Local energy resource availability and off-grid power systems costs.
Starting in 2015 at the division of Energy Systems at KTH (formerly division of Energy Systems Analysis) OnSSET was developed by embracing the advancements in the geospatial field, and developing together with partners an open-source, geospatial electrification toolkit – the Open Source Spatial Electrification Tool (OnSSET). OnSSET is a GIS based tool developed to identify the least-cost electrification option(s) between six alternative configurations:
Grid connection/extension
Mini grid systems (Based on Solar PV, Wind Turbines or Small scale hydropower, using batteries and/or diesel for backup)
Stand-alone systems (Solar Home Systems)
The results indicate the technology mix, capacity and investment requirements for achieving universal access in the modelled country, under a certain time period (usually until 2030). The findings can be presented in various formats such as interactive maps, graphs, images, tables etc.
Scope and Objective
OnSSET output, can be used to support policy development for electrification by taking into consideration specific guidelines and targets for each country. This, could help answer questions like:
What would it cost to provide universal electricity access in the country? How does this cost change based on the targeted consumption?
In case of limited resources, which customers/areas shall be prioritized? What key consumers should electrification activities focus on?
What part of population lives within 50 km from the existing grid infrastructure and what part in remote (last-mile) communities?
What is the most cost effective way to electrify populations in the last mile, what technologies and costs would that imply?
To the current state, OnSSET has supported electrification efforts in many countries around the globe including Afghanistan, Nigeria, Ethiopia, Kenya, India, Tanzania, Madagascar, Mozambique and Benin as part of joint collaboration with the World Bank, the United Nations, SEforALL, SNV and others. These organizations, have warmly embraced the tool in their fight against energy poverty. In addition, OnSSET has featured in several peer reviewd publications including the World Energy Outlook in 2014, 2015, 2017 and 2019, 2022.
Contents
- Introduction
- The OnSSET methodology
- Steps of an OnSSET analysis
- 1. Installation
- 2. GIS Data Collection
- 3. GIS Data Extraction
- Step 1. Proper data types and coordinate system
- Step 2. Layer projection
- Step 3. Generate the OnSSET input file
- Open the Notebook
- Running Cells
- Importing Packages
- Define Coordinate System
- Select Output Folder
- Selecting Input Datasets
- Dataset Selection by Cell
- Exporting the Results
- Understanding the Output
- GIS country file
- 4. Start Year Calibration
- 5. Running A Scenario
- 6. Results and Visualization
- Applications
- Publications
- Contact
- Frequently Asked Questions
- License
- Module Reference