This page provides free access to KAPSARC’s data and research tools, to advance the understanding of energy economics and environment policy pathways.
Data portal contains over 1200 machine-readable (API ready), model-ready data sets, with over 50 million records of data. Energy datasets gathered from 175 data sources, 50 of which are regional. Each dataset shows the data source, link to their data use terms and the timestamp of its last update on its information tab. We check the validity of each regularly updated data set at least every 45 days.
The KREDM is a region-specific econometric model designed to analyze electricity demand in Saudi Arabia, accounting for regional disparities and facilitating policy and design scenario simulations. By integrating essential factors such as GDP growth, sectoral price changes, inflation, and population growth, this model provides an in-depth understanding of the driving forces influencing electricity demand across various regions within the country.
Hydrogen is emerging as an important energy vector that can accelerate the path toward net-zero emissions. Given its diverse application and its potential to abate carbon emissions, it is ideally suited as an enabler to the circular carbon economy. This H2 Cost Analysis tool provides a quick, simple, and convenient analysis for electrolysis and SMR- based hydrogen production options. Users can alter values for a large set of input parameters to assess the corresponding impact on the levelized cost of hydrogen production and financial performance of the use case.
The Circular Carbon Economy (CCE) Index is a tool for energy and climate policymakers and stakeholders to quantify and compare country performance and potential for reaching CCEs. The index measures and benchmarks major economies and oil-producing countries on two temporal dimensions: The CCE Performance sub-index measures countries’ current performance on the various CCE activities (e.g., energy efficiency, renewable energy, fuel switching, or carbon capture and storage). The Enablers sub-index gauges how countries are positioned to progress toward the CCE based on key enabling factors.
As a response to recommendations from the “Energy Open Data Ecosystem, Policy Scenario Models & Tools” workshop series organized by KAPSARC since 2018, IEF and KAPSARC have jointly examined KAPSARC data and modeling resources to improve energy balance compilation with Saudi Arabia as a case study. The project successfully identified key opportunities and challenges in improving existing energy balances compiled by reputable international organizations.
This model represents a spread option-based formulation that adds a locational dimension to the conventional storage theory and is based on the prices of crude oil at two different locations, factoring in costs of storage and transportation, and the time required to transport oil between them.
This methodology offers a viable alternative to the traditional cost of carry approach; it can also estimate implied convenience yields and the shadow price of inventories, aiding commodity trading strategies.
The three key drivers of inventories—the cost of carry, convenience yield and spread option value—are estimated for eight primary international crude oil storage hubs located at major seaports using daily data from December 21, 2015 to January 25, 2019.
Saudi Arabia aims at transforming its hydrocarbon resource-rich economy into a sustainable and diversified one over the coming decade. With this goal in mind, the Vision 2030 initiative introduces a set of complex socio-economic transformation targets. As a result, diversification is expected to significantly change the sectoral composition of the economy, with the manufacturing and service sectors becoming further pillars of sustainable growth. This tool allows for a medium-term impact analysis based on relevant IOT with updated inter-industry flows and technical coefficients matrix.
Our methodology offers a solution to inadequate data access and allows for scenario building in policy planning for transportation. This approach allows for quick estimation of the effects of policy measures and economic changes on transportation activities at a global level.
This app has been inspired by the fuel substitution witnessed in Japan after the Fukushima disaster, which saw 50 GW of nuclear capacity go offline. Natural gas, coal and petroleum products were used to replace nuclear power. We developed this calculator to estimate what volume of a given fuel would be needed to generate the same power of the displaced or substituted fuel.
KAPSARC Datahub is designed to control the data versions that energy economy and climate models receive. Datahub offers Github-like functionality for modelers’ collaboration on data versions.
Datahub delineates data and its version management from model development. Maintain data in DataHub, create models in the modeling ecosystem, and call data, as necessary.
With the help of this solution, data specialists can continue to maintain data while modelers focus on developing models.
The KAPSARC Building Energy Assessment Tool is a web-based energy analysis tool designed to assist users in improving the energy efficiency of residential buildings.
A domestic policy analysis tool that captures the interactions between Saudi Arabia and other global economies.
The KAPSARC Energy Model for Saudi Arabia is a partial economic equilibrium model that represents six major energy producing and consuming sectors in Saudi Arabia. These sectors are electric power, petrochemicals, refining, water desalination, upstream oil and gas, and cement.
KAPSARC’s India Renewable Energy Policy Atlas provides specific state and national level coverage of energy policies in India. It presents a policy landscape covering many geographies within India to gain holistic and comparative insights into policy frameworks.
This toolkit presents interactive data on capital costs and levelized cost of energy for solar photovoltaic technology by year and country.