> ## Documentation Index
> Fetch the complete documentation index at: https://docs.transitionzero.org/llms.txt
> Use this file to discover all available pages before exploring further.
# Bangladesh
> This section provides specific details about Scenario Builder's model of Bangladesh.
# Changelog
Support for Bangladesh capacity expansion and dispatch scenarios
# Model scope
## Capacity Expansion
* Base year: 2023
* End year: 2050
* Spatial resolution:
* National (1-node)
* Regional (9-node)
* Rangpur (GRIDREGION-BGD-RP)
* Rajshahi (GRIDREGION-BGD-RS)
* Sylhet (GRIDREGION-BGD-SY)
* Chittagong (GRIDREGION-BGD-CG)
* Dhaka (GRIDREGION-BGD-DH)
* Khulna (GRIDREGION-BGD-KH)
* Mymensingh (GRIDREGION-BGD-MM)
* Comilla (GRIDREGION-BGD-CM)
* Barisal (GRIDREGION-BGD-BA)
* Temporal resolution:
* Low resolution (24-hourly and yearly) - 1 timeslice
* Medium resolution (3-hourly and 3-monthly) - 32 timeslices
## Dispatch
* Spatial resolution:
* National (1-node)
* Regional (9-node)
* Rangpur (GRIDREGION-BGD-RP)
* Rajshahi (GRIDREGION-BGD-RS)
* Sylhet (GRIDREGION-BGD-SY)
* Chittagong (GRIDREGION-BGD-CG)
* Dhaka (GRIDREGION-BGD-DH)
* Khulna (GRIDREGION-BGD-KH)
* Mymensingh (GRIDREGION-BGD-MM)
* Comilla (GRIDREGION-BGD-CM)
* Barisal (GRIDREGION-BGD-BA)
* Temporal resolution:
* High resolution (hourly and single year) - 8760 timesteps
* Available for single years between 2023-2050
# Data sourcing table
| **Input variable** | **Data source** | **Data standard** |
| :-------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------------- |
| Demand profiles - current | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194) | Silver |
| Demand profiles - future | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194) | Silver |
| Annual demand - current | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194), [EMBER](https://ember-energy.org/data/electricity-data-explorer/?entity=Bangladesh\&data=demand\&fuel=total\&temporal_res=yearly) | Silver |
| Annual demand - future | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194); interpolated between intermediate years as Nahid and Roy only model 2019, 2030, 2040, 2050 | Silver |
| Renewable profiles - current | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194); scaled to match annual regional data for each BGD zone from Chu and Hawkes ([Science Direct](https://www.sciencedirect.com/science/article/pii/S0360544219323254); [Zenodo](https://zenodo.org/records/3557184)) | Silver |
| Renewable profiles - future | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194); scaled to match annual regional data for each BGD zone from Chu and Hawkes ([Science Direct](https://www.sciencedirect.com/science/article/pii/S0360544219323254); [Zenodo](https://zenodo.org/records/3557184)) | Silver |
| Renewable potentials | Chu and Hawkes ([Science Direct](https://www.sciencedirect.com/science/article/pii/S0360544219323254); [Zenodo](https://zenodo.org/records/3557184)) | Silver |
| Power plant data - current (location, capacity, fuel, technology, start year, end year) | Coastal Livelihood and Environmental Action Network (CLEAN) Power Generation Dataset 2024-2025 (includes commissioning and decommissioning dates for residual capacity); TZ asset database (location) | Gold |
| Power plant data - future | Coastal Livelihood and Environmental Action Network (CLEAN) Power Generation Dataset 2024-2025 (includes commissioning and decommissioning dates for residual capacity); TZ asset database (location) power plant dataset (under-construction/post-FID plants commissioning date); TZ asset database (location) | Gold |
| Technology costs - current | Solar and onshore wind (weighted from [TIB](https://www.ti-bangladesh.org/images/2025/report/renewable-energy-governance/Executive-Summary-on-Renewable-Energy-Governance-En.pdf?v=1.8)), nuclear (from [Akter and Shafiqul](https://www.researchgate.net/profile/Sangida-Akter/publication/400694246_Cost_modeling_and_policy_insights_for_deploying_two_VVER-1200_reactors_in_the_newcomer_nuclear_country_of_Bangladesh/links/698cfdd264ca8a38208ba1ef/Cost-modeling-and-policy-insights-for-deploying-two-VVER-1200-reactors-in-the-newcomer-nuclear-country-of-Bangladesh.pdf), thermals and hydro (from [Debnath and Mourshed](https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2018.00008/full))) | Silver |
| Technology costs - future | Thermals, hydro and nuclear assumed flat costs. Solar, onshore wind and offshore wind assumed learning rates from TZ CFE India [study](https://blog.transitionzero.org/hubfs/Analysis/CFE%20Reports/TransitionZero%20-%2024-7%20CFE%20Report%20-%20India.pdf) and [IEA WEO](https://iea.blob.core.windows.net/assets/9753df19-0a71-422a-b725-012c555763b3/WorldEnergyOutlook2025.pdf) (Table B.4a) | Bronze |
| Interconnector technology costs - current | TransitionZero in-house [methodology](https://www.transitionzero.org/insights/from-vision-to-voltage-with-tz-apg) | Bronze |
| Interconnector technology costs - future | Costs held constant | Bronze |
| Commodity costs - current | Coastal Livelihood and Environmental Action Network (CLEAN) Power Generation Dataset 2024-2025; oil and coal prices held constant through modelling horizon. Also provides current import costs for interconnectors from India | Silver |
| Commodity costs - future | Coastal Livelihood and Environmental Action Network (CLEAN) Power Generation Dataset 2024-2025; gas prices increased in-line with Timilsina and Pargal | Silver |
| Domestic interconnector capacity data - current | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194) | Silver |
| Domestic interconnector capacity data - future | PyPSA Bangladesh - [Nahid and Roy](https://www.sciencedirect.com/science/article/pii/S1755008424001194) | Silver |
| Ramp up and ramp down | [PyPSA Europe](https://github.com/PyPSA/pypsa-eur/blob/master/data/unit_commitment.csv) | Bronze |
| Efficiency / Losses | [Danish Energy Agency and The Ministry of Energy and Mineral Resources of Indonesia](https://gatrik.esdm.go.id/assets/uploads/download_index/files/c4d42-technology-data-for-the-indonesian-power-sector-2024-annoteret-af-kb-.pdf) | Bronze |
| Minimum generation level | Derived from Coastal Livelihood and Environmental Action Network (CLEAN) Power Generation Dataset 2024-2025 for calibrated (2024-2025) and linearly reduced down to zero | Silver |
| Planned outages / Availability | Derived from Coastal Livelihood and Environmental Action Network (CLEAN) Power Generation Dataset 2024-2025 for calibrated (2024-2025) and linearly reduced down to zero | Silver |
| Discount rate | Default (5%) | Bronze |
| Reserve margin | Default (20%) | Bronze |
| WACC | Default (10%) | Bronze |