Discover how informed policy crafting can be achieved with our policy simulators and engaging visual narratives. Customize and explore a wide range of energy economics and climate scenarios, uncovering strategic policy possibilities. Gain valuable insights through interactive visuals to make strategic decisions that align with a sustainable future.
Complementing these policy simulators, our visual narratives transform complex data into compelling stories, making it easy to interpret key information. See both the big picture and finer details with visuals that connect data to real-world outcomes. Enhance your understanding of trends and scenarios essential for informed and effective policymaking.
Together, our simulators and data-driven narratives provide a clear path to confident, informed decisions.
Saudi Arabia aims to achieve 100-130 gigawatts (GW) of renewable energy capacity before 2030 and plans to generate 50% of its electricity from renewable sources by then. This interactive geospatial dashboard displays current and future solar and wind energy projects in Saudi Arabia, including completed and upcoming projects, categorized by year, project type, and status.
The LCA tool is a comprehensive instrument that provides detailed insights into the entire life cycle of jet fuel greenhouse gas emissions for aviation in Saudi Arabia – from oil extraction and transportation to jet fuel production, distribution, and aircraft operation. It emphasizes the importance of each stage and the variables influencing impact estimations. Additionally, the tool allows users to perform customized assessments based on specific parameter changes (e.g., extraction practices, transportation, aircraft operation). It provides default values that users can easily adjust. Finally, it enables comparisons between different parameter changes and operational practices, and conducts scenario analyses to forecast potential environmental impacts from operational or technological changes, demonstrating the implications of assumptions and advantages over base-case scenarios.
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 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.
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.
A domestic policy analysis tool that captures the interactions between Saudi Arabia and other global economies.
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.
This toolkit presents interactive data on capital costs and levelized cost of energy for solar photovoltaic technology by year and country.
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.
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.
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.
The simulator provides a visual narrative based on an assessment study of deploying floating offshore wind turbines (FOWTs) in the challenging depths of the Red Sea. Using spatial analysis, the simulator highlights the most technically suitable zones for large-scale FOWT installations, considering wind resources, water depths, and regional geographical constraints. The technical potential is then evaluated through power density calculations. This research lays the foundation for future studies and policy discussions on the potential utilization of renewable resources in the Red Sea.
The CAMP project aims to assess the implications of achieving net-zero emissions on the overall energy system of the Kingdom of Saudi Arabia. CAMP provides comprehensive analysis of the long-term implications of various climate-related initiatives and policies adopted by the Kingdom of Saudi Arabia by using an integrated assessment modeling framework and quantitatively assessing the sectoral contribution to the overall target of achieving net-zero GHG emissions by 2060.
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.
The CEDS Sankey Visualization Tool leverages data from the Community Emissions Data System (CEDS), a comprehensive open-source framework for historical emission estimates. This allows users to explore emission trends, as CEDS provides consistent data for global air emissions species (BC, CO, CO2, NH3, NMVOC, NOx, OC, SO2) over the industrial era (1750 – present) along with CH4 and N2O over recent decades. With the Sankey tool, users can easily visualize emission flows across sectors and how different sectors contribute to global emissions, as well as track the impact of technologies on global emissions, ultimately gaining data-driven insights to support informed decision-making for a sustainable future.
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.
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.
