OpeN Source Spatial Electrification Tool (OnSSET)

OnSSET is an open source, spatial electrification tool estimating, analysing and visualizing the most cost effective electrification option (grid, mini grid & stand-alone) for the achievement of electricity access goals. The tool is focused on the assessment and deployment of renewable energy and conventional technologies aiming at ensuring access to affordable, reliable, sustainable and modern energy for all (SDG 7). It can be applied to developing countries and provide key answers to energy planners in order to support providing sustainable energy services to BOP populations. The tool is used and actively developed in partnership with UNDESA and the UNDP. They form integral parts of the Global OpTIMUS (Open Tools, Integrated Modelling and Upskilling for Sustainable Development) community of practice.

Sustainable Development Goals covered by this tool
Date:

2017

Engagement:

The adoption of the tool requires engagement of the user in different levels. The online interface (available here) can provide a quick understanding of the tool dynamics and can deliver a quick –yet coarse - electrification analysis on a country level. A more in depth analysis can be performed by using a desktop version of the tool using python, which can provide higher level of input/output detail and customized electrification results.

Category:
  • Integration tools for analysing interconnections, synergies, trade-offs and bottlenecks among SDGs
  • Last-mile tools to support meeting the SDGs and targets and unlocking bottlenecks for all segments of society and reaching the furthest behind first
  • Risk-informed planning toolsfor resilience building, adaptation and identifying synergies and unlocking bottlenecks
  • Vulnerability Assessment Tools
  • Data Revolution Tools
  • Fragility Assessment Tools
  • Indicators and Assessment Tools
  • Community-based Planning, Partnership, and Multi-stakeholder Engagement Tools
  • Risk, Foresight and Scenario Tools
Type:

Computer models and programmes, Programming methodologies, Training programmes, Capacity building, Scenario builders, forecasting and back-casting methodologies, Narrative (storytelling) guidelines

Availability:

Open Source

Computer System Requirements:

Python

Developed By:

KTH Royal Institute of Technology, The Division of Energy Systems Analysis (KTH dESA) Partners: UNDESA, SweGRIDS (ABB), The World Bank, SIDA, Vetenskapsrådet, International Energy Agency (IEA)

Contact:

Dimitrios Mentis

Email:

mentis@kth.se

Organization:

KTH dESA

Guidance Documentation:

Open Source Spatial Electrification Tool (OnSSET) (English)

Languages:

English