Data Sources

KiNESYS integrates data from leading international organizations and research institutions. This page documents the primary sources used to construct model instances.

Note

Data is stored in a relational database in its native form, enabling straightforward updates when new versions become available. SQL scripts process and transform this data into VEDA-TIMES compatible formats.

Energy Balances and Statistics

IEA World Energy Balances (2025)

Comprehensive energy statistics covering production, transformation, and final consumption by country, fuel, and flow. The foundation for base year calibration across all sectors.

Update frequency: Annual

IEA World Energy Statistics

Detailed statistics on gas production, trade, and consumption. Supports gas sector calibration.

Macroeconomic Projections

IIASA SSP Database (Version 3)

Shared Socioeconomic Pathways projections for GDP (PPP) and population under five socioeconomic narratives (SSP1-SSP5). Provides projections from base year to 2100 at country level.

Reference: Riahi et al. (2017), Global Environmental Change

World Bank World Development Indicators

GDP sectoral composition — agriculture, industry, services, and manufacturing as percentage of GDP. Used to disaggregate total GDP into sector-specific drivers with structural convergence assumptions.

Power Sector

S&P Global Platts WEPP

World Electric Power Plants database with unit-level details including capacity, fuel type, commissioning year, and cooling technology. Provides the foundation for vintaged existing stock representation.

IRENA Renewable Capacity Statistics

Installed renewable electricity capacity by country and technology. Used for renewable capacity calibration and validation.

Update frequency: Annual

IEA World Energy Outlook

Technology cost assumptions and regional scenario projections. Used for scenario benchmarking (Stated Policies, Announced Pledges, Net Zero scenarios).

Update frequency: Annual

IEA Global Energy and Climate (GEC) Model Dataset (WEO 2023)

Regionally differentiated techno-economic parameters for 26 power generation technologies across 9 world regions under the Stated Policies (STEPS) scenario. Provides overnight capital costs, fixed O&M, thermal efficiency, capacity factors, and construction times. Primary source for regional absolute cost levels used in the unified reference cost dataset.

Technologies: Gas (CCGT, gas turbine, CCGT-CHP, fuel cell, CCGT+CCS), Coal (subcritical, supercritical, ultra-supercritical, IGCC, three CCS variants), Nuclear, Renewables (solar PV, CSP, wind on/offshore, hydro, biomass, geothermal)

Regions: European Union, United States, Japan, Russia, China, India, Middle East, Africa, Brazil

Time points: 2022, 2030, 2050

Currency: USD 2022

NREL Annual Technology Baseline (ATB) 2024v3

US-specific technology cost projections under Conservative, Moderate, and Advanced scenarios reflecting different rates of technological progress. Used to derive hi/lo cost uncertainty spread multipliers (ratio of Conservative/Advanced to Moderate) applied to IEA GEC regional costs. Also the sole source for utility-scale battery storage costs (4-hour and 8-hour Li-ion), which are applied uniformly across all regions.

Technologies: All major generation technologies plus utility-scale battery storage

Time points: Annual from 2022 to 2050

Currency: USD 2022

Gas and LNG Infrastructure

Global Energy Monitor - Global Gas Infrastructure Tracker

Pipeline capacity, operational status, start years, and routes for gas pipelines worldwide. Used to construct interregional gas trade links.

Update frequency: Quarterly

Global Energy Monitor - Global LNG Infrastructure Tracker

Liquefaction and regasification terminal capacity by country. Used for LNG trade infrastructure.

Electricity Transmission and Trade

ENTSO-E Net Transfer Capacity (NTC)

Official forward and reverse net transfer capacities for European bidding zones and neighbouring interconnectors. Primary source for European electricity trade links in KiNESYS. Processed from NTSOe_NetTransferCap.xlsx with base-year and incremental 2025/2030 vintages.

Global Transmission Database (GTD v1.0)

Comprehensive global dataset of existing and planned cross-border electricity transmission capacities (MW), collated from TSO reports, regulatory filings, and academic sources. Used for all non-ENTSO-E trade links and for Europe–non-Europe borders not covered by NTC.

Reference: Brinkerink et al. (2024), Data in Brief, doi:10.1016/j.dib.2024.110420

Repository: https://zenodo.org/doi/10.5281/zenodo.10063445

Coverage: 164 countries; national aggregation; existing (~2023) and planned capacities with commissioning years

Stored in VerveStacks: ``data/Electricity Transmission Database/``

Oil and Gas Supply

KAPSARC analysis

Oil and gas production projections by breakeven price category. Accessed via KAPSARC partnership. Used to construct supply curves with price-responsive behavior.

Biomass and Land Use

IIASA GLOBIOM

Global Biosphere Management Model output providing biomass potential by type (energy crops, residues, forestry), price tier, and scenario. Downscaled to country level based on IEA primary biomass production.

Reference: Havlik et al. (2014), Global Change Biology

Industrial Sector

USGS Mineral Commodity Summaries

Mineral production statistics by country covering non-ferrous metals, non-metallic minerals, and other industrial commodities.

Update frequency: Annual

FAO FAOSTAT

Agricultural and forestry production statistics including paper and pulp production. Used for industrial demand calibration.

Update frequency: Annual

Global Energy Monitor - Global Steel Plant Tracker

Steel plant capacities by technology route (BF-BOF, EAF, DRI) with coordinates. Used for steel sector calibration and as the steel emitter set in the CCS supply curves (see below).

Update frequency: Semi-annual

Transport

OICA - Global Vehicle Population Data

Source to be confirmed: OICA / IEA Mobility Model / National statistics

Vehicle stocks by type (cars, trucks, buses, 2-wheelers, 3-wheelers) and country. Used for transport demand calibration.

Renewable Energy Potential

World Bank ESMAP REZoning

Renewable energy potential by zone and cost class, covering solar PV and onshore wind. Provides technical and economic potential with spatial granularity.

CM SAF SARAH + ECMWF ERA5

Satellite-derived solar irradiance (SARAH) and reanalysis wind speed (ERA5) data. Provides hourly capacity factor profiles for solar and wind resources at grid-cell level.

Renewable Resource Characterization

KiNESYS employs detailed spatial data for renewable energy characterization, enabling cluster-specific generation profiles and supply curves.

Atlite Grid-Cell Capacity Factors

Hourly capacity factor profiles (8760 hours) for solar, wind onshore, and wind offshore at 50km² grid-cell resolution. Derived from ERA5 (wind) and SARAH (solar) reanalysis data through the Atlite library.

Technologies: Solar PV, Wind Onshore, Wind Offshore

Resolution: 50km² grid cells, hourly (8760 values per cell per year)

Weather Years: 2010, 2013 (default), 2016, 2019

Coverage: Global, 211 countries

Reference: Hofmann et al. (2021), Journal of Open Source Software

REZoning Economic Potential Database

Grid-cell level renewable energy potential by cost class, including land availability after exclusions (protected areas, urban, water bodies), terrain factors, and grid connection distance estimates. Derived from PyPSA-Earth preprocessing methodology.

Attributes per cell: Technical potential (MW), cost class tier, coordinates, land availability

Technologies: Solar PV, Wind Onshore, Wind Offshore

Source: KanORS-EMR compilation based on PyPSA-Earth methodology

IRENA Renewable Capacity and Generation Statistics

National-level installed renewable electricity capacity and annual generation by technology. Used for base year calibration, validation of potential estimates, and allocation of existing capacity to spatial clusters.

Technologies: Solar PV, Wind Onshore, Wind Offshore, Hydro, Biomass, Geothermal

Update frequency: Annual

Usage: Existing capacity allocation to clusters based on capacity factor matching

Global Energy Monitor - Solar and Wind Power Trackers

Unit-level existing and planned solar PV, onshore wind, and offshore wind installations worldwide. Provides coordinates, capacity (MW), status, and technology type. Each unit is mapped to its nearest REZoning grid cell within the same country, and its capacity is subtracted from the cell’s technical potential before clustering to ensure supply curves reflect only greenfield potential.

Update frequency: Quarterly

Usage: Greenfield potential adjustment (existing capacity deduction from REZoning grid cells)

City Population Database

Coordinates and population of major cities (>100,000 population) worldwide. Used to compute connection costs from renewable resource clusters to nearest demand centers.

Source: Natural Earth / UN World Urbanization Prospects

Carbon Capture and Storage

The legacy ETSAP-TIAM storage assessment (Hendriks 2004 / Dooley 2005 downscaling) has been replaced by a supply-curve dataset built from the sources below. See the CCS chapter for methods.

OGCI CO2 Storage Resource Catalogue (Cycle 5, 2025)

Site-level global storage capacity assessments (P10/P50/P90) with coordinates, formation type, basin, and discovery status. The capacity spine of the dataset.

Repository: https://www.ogci.com/ccus/co2-storage-catalogue

Gidden et al. (2025) — Prudent Planetary Limit for Geologic Carbon Storage

Country-level nesting of technical potential, suitability-screened (prudent) limit, and O&G-infrastructure-overlapped potential, on/offshore; plus a 0.01° global raster of sedimentary basin footprints (assessed/unassessed classes). Used for quality-tier quantification, capacity gap-fill, and sink geometry.

Reference: Gidden et al. (2025), Nature 645; data: doi:10.5281/zenodo.15657542

Smith, Hampson & Krevor (2024) — Pressure-Limited Global Storage Analysis

765-basin global skeleton (SI mmc1: names, centroids, countries, data sufficiency) and published global physical maxima used as the Tier-1 calibration anchor; country result tables used for validation. Basin-level parameters are proprietary (Wood Mackenzie) and are re-derived from open sources instead.

Reference: Smith et al. (2024), IJGGC 137

CO2BLOCK (De Simone & Krevor 2021)

Analytical basin-scale pressure-buildup model; run with open parameters (CO2StoP reservoir properties, OGCI site kh, CRUST1.0 sediment thickness, IHFC heat flow) to derive pressure-limited injection-rate ceilings per basin.

Repository: https://github.com/co2block/CO2BLOCK

Zhang, Jackson & Krevor (2024) — CCS Deployment Growth Model

Monte Carlo logistic-growth fits of storage deployment by country and scenario. Calibrates the global Tier-2 build-rate ramp (Low/Central/High).

Reference: Nature Communications 15; code+data: doi:10.5281/zenodo.11446272

Fan et al. (2025) — China Fine-Grid Storage Dataset

5-km gridded storage potential and explicit injection-rate capacity for China (24 basins, 1,181 oilfields). Used as an explicit override for China.

Reference: Scientific Data 12

CO2StoP (EU JRC), NETL NatCarb, OGIM v2.7

EU storage-unit reservoir properties (depth/thickness/porosity/permeability); US saline polygons and grids (informational cross-check only); global oil & gas field geometries for depleted-field proxies and basin areas.

Global Energy Monitor — Steel, Cement, and Power Plant Trackers

Plant coordinates and capacities for the capturable-emitter side of the source-sink matching (7,529 plants; route-resolved emission factors; grinding-only cement plants excluded).

Update frequency: Quarterly/semi-annual

Transport & storage cost literature

Pipeline engineering economics: McCoy & Rubin (2008), diameter tiers Kim et al. (2024), regional factors Baek et al. (2026); storage unit costs ZEP (2011), NETL (2017); shipping chains Element Energy/BEIS (2018), VITO. The pessimistic cost scenario additionally draws on Anderson (2019/2020) for active pressure management and the Rubin FOAK/NOAK convention (overrun evidence per Rasool 2025).

IEA CCUS Projects Database (2026 edition)

1,110 announced/operating CCUS projects with capacities, status, and operation year. The storage-side pipeline (Storage, T&S, Full-chain projects) anchors the 2030 point of the per-country deployment ceilings.

Kazlou, Cherp & Jewell (2024) — CCS Feasibility and Growth Analogs

Historical CCS project attrition and technology-analog growth ladders (wind, nuclear). Sets the growth phase of the deployment ceilings; attrition weighting supported by Abdulla et al. (2020) and Wang et al. (2021).

Reference: Nature Climate Change 14

Gütschow et al. (2021) — Country-Resolved SSP Emission Pathways

PRIMAP-downscaled SSP scenarios for all countries (SSP2 baseline used). Projects the capturable-emissions asymptotes of the deployment ceilings.

Reference: Earth System Science Data 13, 1005-1040; data: doi:10.5281/zenodo.3638137

Climate Data

IEA/KAPSARC Heating and Cooling Degree Days

Population-weighted heating degree days (HDD) and cooling degree days (CDD) by country. Used to inform space heating and cooling demand and fuel-to-end-use splits in buildings.

Electricity Demand Load Curves

ECMWF ERA5 Climate Reanalysis (2013)

Modeled hourly electricity load for 211 countries based on temperature-driven demand patterns. Provides globally consistent 8760-hour load profiles for weather year 2013. Used as the primary source for countries without high-quality measured data.

Reference: Hersbach et al. (2020), Quarterly Journal of the Royal Meteorological Society

Update frequency: Available for multiple weather years, 2013 as standard

WuHaochi China Provincial Load Data (2016-2020)

Actual hourly electricity load by province (31 provinces). Aggregated to national level to replace ERA5 modeled data for China, ensuring realistic representation of industrial and residential patterns in the world’s largest electricity consumer.

Source: Zenodo open data repository

Coverage: 5 years of provincial data, 43,800 hourly observations per province

ENTSO-E Transparency Platform

Actual hourly load data for European countries and bidding zones. Used for ERA5 validation, quality assessment, and as reference for evaluating sectoral disaggregation methodology accuracy.

Update frequency: Real-time, historical archives available from 2015

Coverage: 35+ European countries with transmission system operator data

Atlite Hourly Capacity Factor Profiles (2013)

Solar photovoltaic and wind (onshore/offshore) generation profiles at country level derived from MERRA2 and ERA5 climate reanalysis. Provides synchronized temporal correlation between renewable generation potential and electricity demand.

Reference: Based on Atlite toolkit for renewable energy modeling

Resolution: Country-level aggregation of grid-cell capacity factors