The Science Behind Clean Cooking Explorer

Multi-Criteria Analysis Using the Clean Cooking Explorer Tool

Clean Cooking Explorer

The Clean Cooking Explorer utilizes geospatial data in a multi-criteria analysis to identify the state of access to clean cooking. The tool enables users to identify areas with high expansion potential as well as areas where assistance is needed, making it a useful tool for both policy makers and private investors.

OnSSTOVE

Coming Soon

OnSSTOVE is a geospatial modelling tool that uses techno- and socio-economic data in order to estimate the potential of adopting different improved and clean cooking solutions. The tool determines the net-benefits of each cooking solution and presents scenarios with the highest net-benefit option for every settlement.

The Clean Cooking Explorer uses a GIS-based multi-criteria analysis to identify the state of access to clean cooking

Demand Index
Is an aggregated and weighted measure of all selected data sets under the Demand category. It identifies areas with higher energy demand.
Supply Index
Is an aggregated and weighted measure of all selected data sets under the Supply category. It identifies areas with potential for clean cooking energy supply.
Clean Cooking Potential Index
Is an aggregated measure of all selected data sets under both Demand and Supply categories. It identifies areas with higher energy demand and potential of supply which are characterized with higher index values.
Finance Need Index
Is an aggregated and weighted measure of selected data sets under both Demand and Supply categories indicating existing or potential energy demand, low economic activity, and low access to infrastructure and resources. It identifies areas where market assistance is needed the most.

Approach followed in the Clean Cooking Explorer Analysis

Supply Index

The Supply Index is the weighted sum of normalized distances to existing infrastructure and areas with high fuel potential (for biogas). The Supply index varies according to the datasets that the user has selected from the supply side. Equation 1, shows how the index is calculated where w is a weighing factor for the i-th Normalized Supply Data set (NSD), referring to the normalized values of data under the supply group. The final displayed Normalized Su pply Index (NSI) is computed as described in equation 2.

Demand Index

The Demand Index is the weighted sum of normalized distances to productive uses, population density data, and international wealth index and GDP values. The Demand index varies according to the datasets that the user has selected from the demand side. Equation 1, shows how the index is calculated where w is a weighing factor for the i-th Normalized Demand Data set (NDD). The final displayed Normalized Demand Index (NDI) is computed as described in equation 2.

Filters

The explorer enables users to filter out certain results. This gives investors, policy makers, donors and planners the ability to focus on specific parts of the study area.
This is helpful if one wishes to focus on e.g. a specific region of the country or population under the poverty line.
Using the filters, the Clean Cooking Index can be used to identify which of the priority areas have more potential depending on the datasets selected in the Demand and Supply categories.

Clean Cooking Potential Index

With the filters included the aggregated demand and supply indices are calculated and combined to form the Clean Cooking Potential Index.
Different weights can be applied to different datasets. Areas with high demand, close to supply systems, good fuel availability and high ability to pay have a positive impact on the Clean Cooking Potential Index.
The user can impact the importance of different datasets in the index by altering the weight of each dataset.

Finance Need Index

The Finance Need Index identifies population and regions that may be in need of financial assistance for adopting clean cooking solutions.
Areas with the potential to develop economic activity and a significant clean cooking demand, may require more financial support. Same also holds true for areas with lower current economic activity (low wealth and low GDP) and areas with insufficient supply (far away from supply technologies).

The Clean Cooking Explorer adheres to the data quality standards set in place by WRI's Energy Access Explorer (EAE). To view more information about data quality standards, view the technical note.