The DRC’s residential and commercial buildings were the largest consumers of energy with a share of 91% of total final consumption in 2019.20 The majority of the sector’s energy mix was sourced from solid biomass with a share of 96% in 2019.21 The biomass is primarily in the form of wood fuel and charcoal which account for 93% of the energy used for cooking.22 Some studies show that the use of energy wood is projected to increase to around 58% of forest degradation and 19% of localised deforestation by 2030.21 Only 5% of the population had access to clean cooking technologies in 2020.23
Most of the scenarios analysed see an increase in direct CO₂ emissions to around 1 MtCO₂e/yr until 2030 after which they peak and start declining, reaching close to zero by 2040. In these scenarios, the increasing replacement of traditional biomass with electricity as a source of energy is the main driver of this decline. From 1% in 2019, the electricity share in the buildings sector grows to between 18% to 23% by 2030 and 57% to 81% by 2050. Electricity will help decarbonise the building sector if it is produced from renewable energy sources which is the case in the DRC (See the power section for details).
Whilst the emissions from the building sector are already negligible, the DRC has not articulated any detailed targets or measures to mitigate building-related emissions.
1 Democratic Republic of the Congo. Contribution Déterminée à l’échelle Nationale révisée. (2021).
2 African Development Bank. National Climate Change Profile: Democratic Republic of the Congo. (2018).
3 Ministère de l’Environnement et Développement Durable. Troisième Communication Nationale de la République Démocratique du Congo à la Convention Cadre sur le Changement Climatique. (2015).
4 African Energy Commission (AFREC). AFREC Africa Energy Balances 2019. (2019).
5 African Energy Commission (AFREC). Africa Energy Efficiency for the Residential Sector 2019. (2019).
6 United Nations Environment Programme (UNEP). Atlas of Africa Energy Resource. (2017).
18 Kusakana, K. A Review of Energy in the Democratic Republic of Congo. in International Conference on Desalination and Renewable Energy (ICDRE) (2016).
26 Democratic Republic of Congo. Troisième Communication Nationale. (2014).”:https://studylibfr.com/doc/4699335/troisi%C3%A8me-communication-nationale
27 The World Bank. La Banque mondiale approuve 750 millions de dollars pour soutenir la gouvernance, le transport et la connectivité numérique en République démocratique du Congo. The World Bank media web 1–4 (2022).
30 Deshmukh, R., Mileva, A., & Wu, G. C. (2017). Richesses Renouvelables : Comment le solaire et l‘éolien peuvent électrifier la RDC et l’Afrique du Sud.
34 Global cost-effective pathways assessed by the IPCC Special Report 1.5°C tend to include fossil fuel use well beyond the time at which these could be phased out, compared to what is understood from bottom-up approaches, and often rely on rather conservative assumptions in the development of renewable energy technologies. This tends to result in greater reliance on technological CDR than if a faster transition to renewables were achieved. The scenarios available at the time of this analysis focus particularly on BECCS as a net-negative emission technology, and our downscaling methods do not yet take national BECCS potentials into account.
35 Global cost-effective pathways assessed by the IPCC Special Report 1.5°C tend to include fossil fuel use well beyond the time at which these could be phased out, compared to what is understood from bottom-up approaches, and often rely on rather conservative assumptions in the development of renewable energy technologies. This tends to result in greater reliance on technological CDR than if a faster transition to renewables were achieved. The scenarios available at the time of this analysis focus particularly on BECCS as a net-negative emission technology, and our downscaling methods do not yet take national BECCS potentials into account. To note that the emissions range by 2050 is very broad due to high uncertainties in the assessed models.
Democratic Republic of the Congoʼs energy mix in the buildings sector
petajoule per year
Scaling
SSP1 Low CDR reliance
SSP1 High CDR reliance
20192030204020501 000
Low energy demand
20192030204020501 000
High energy demand - Low CDR reliance
20192030204020501 000
Natural gas
Coal
Oil and e-fuels
Biomass
Biogas
Biofuel
Electricity
Heat
Hydrogen
Democratic Republic of the Congoʼs buildings sector direct CO₂ emissions (of energy demand)
MtCO₂/yr
Unit
5101519902010203020502070
Historical emissions
SSP1 Low CDR reliance
SSP1 High CDR reliance
Low energy demand
1.5°C compatible buildings sector benchmarks
Direct CO₂ emissions and shares of electricity, heat and biomass in the buildings final energy demand from illustrative 1.5°C pathways for Democratic Republic of the Congo