The potentials of technology complementarity to address energy poverty in refugee hosting landscapes in Uganda

Sonja Kay , Lalisa A. Duguma , Clement A. Okia

Energy, Ecology and Environment ›› 2021, Vol. 6 ›› Issue (5) : 395 -407.

PDF
Energy, Ecology and Environment ›› 2021, Vol. 6 ›› Issue (5) : 395 -407. DOI: 10.1007/s40974-020-00204-z
Original Article

The potentials of technology complementarity to address energy poverty in refugee hosting landscapes in Uganda

Author information +
History +
PDF

Abstract

The continued influx of refugees into Uganda confronts people and hosting landscapes with severe challenges. Vast volumes of biomass resources are required for energy and building materials. Consequently, woodlands have come under pressure as the key source within refugee-receiving regions. This raises the question of how to simultaneously achieve a higher standard of living and energy autonomy for the population while reducing primary resource demand and safeguarding nature. We propose that nature-based and/or technological adaptions can ameliorate this dramatic and deteriorating situation. We thus evaluated the impact of: (i) building autonomy by growing biomass resources on scale via approaches such as agroforestry and ii) enhancing energy efficiency through use of improved cook stoves (ICS) and switching toward renewable energy sources. Focusing on four Ugandan districts, we analyzed the energy and land demand of households and districts in three scenarios. Our results show all districts running into shortages of biomass resources and cultivable land and two districts already reaching their limits. An efficient use of woodfuel combined with solar energy could reduce primary energy demand by up to 37%. The remaining wood demand could be realized by agroforestry systems thereby ensuring household energy autonomy and access to reliable energy sources. We recommend combining energy efficiency measures and technology to reduce firewood demand with agroforestry solutions to satisfy the remaining necessities. Both are needed to reduce the essistential pressure on woodlands and increase the energy autonomy of refugee-hosting landscapes while respecting stakeholder needs.

Keywords

Agroforestry / Energy demand / Biomass potential / Renewable energies / Nature-based solutions

Cite this article

Download citation ▾
Sonja Kay, Lalisa A. Duguma, Clement A. Okia. The potentials of technology complementarity to address energy poverty in refugee hosting landscapes in Uganda. Energy, Ecology and Environment, 2021, 6(5): 395-407 DOI:10.1007/s40974-020-00204-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Agea JG, Kirangwa D, Waiswa D, Okia CA. Household firewood consumption and its dynamics in Kalisizo Sub-County, Central Uganda. Ethnobot Leafl, 2010, 14: 841-855

[2]

AGECC (2010) Energy for a sustainable future. New York

[3]

Balogun AO, Lasode OA, McDonald AG. Thermo-analytical and physico-chemical characterization of woody and non-woody biomass from an agro-ecological zone in Nigeria. BioResources, 2014, 9: 5099-5113

[4]

Basudde P. Promoting the transfer and development of climate-smart energy technologies in Uganda. Encycl World’s Biomes, 2020

[5]

Bekele G, Negatu W, Eshete G. Determinants of household energy demand in Ethiopia: the case study of Addis Ababa City. Appl Econ Financ, 2015, 3: 1-14

[6]

de la Rue du Can S, Pudleiner D, Pielli K. Energy efficiency as a means to expand energy access: a Uganda roadmap. Energy Policy, 2018, 120: 354-364

[7]

de la Sota C, Lumbreras J, Pérez N Indoor air pollution from biomass cookstoves in rural Senegal. Energy Sustain Dev, 2018, 43: 224-234

[8]

Duguma L, Nzyoka J, Okia CA, et al (2019) Restocking woody biomass to reduce social and environmental pressures in refugee-hosting landscapes. Perspectives from Northwest Uganda. Work Pap No. https://doi.org/10.5716/WP19032.PDF

[9]

Duguma LA, Minang PA, Freeman OE, Hager H. System wide impacts of fuel usage patterns in the Ethiopian highlands: potentials for breaking the negative reinforcing feedback cycles. Energy Sustain Dev, 2014, 20: 77-85

[10]

Duruaku JI, Ajiwe VIE, Okoye NH, Arinze RU. An Evaluation of the calorific values of the branches and stems of 11 tropical trees. J Sustain Bioenerg Syst, 2016, 6: 44-54

[11]

Erakhrumen AA. Energy value as a factor of agroforestry wood species selectivity in Akinyele and Ido local government areas of Oyo State, Nigeria. Biomass Bioenerg, 2009, 33: 1428-1434

[12]

FAO, UNHCR (2017) Rapid woodfuel assessment, 2017 baseline for the Bidibidi settlement, Uganda woodfuel

[13]

Faße A, Winter E, Grote U. Bioenergy and rural development: the role of agroforestry in a Tanzanian village economy. Ecol Econ, 2014, 106: 155-166

[14]

FDR Ethiopia (2017) Ethiopia: demographic and health survey 2016. Federal Democratic Republic of Ethiopia

[15]

Foster V, Tre J-P, Wodon Q, Bank W (2000) Energy prices, energy efficiency, and fuel poverty. Washington

[16]

González-Eguino M. Energy poverty: an overview. Renew Sustain Energy Rev, 2015, 47: 377-385

[17]

GVEP International (2012) Global alliance for clean cookstoves Uganda market assessment

[18]

IEA (2017) Energy access outlook 2017: from poverty to prosperity

[19]

Iiyama M, Neufeldt H, Dobie P The potential of agroforestry in the provision of sustainable woodfuel in sub-Saharan Africa. Curr Opin Environ Sustain, 2014, 6: 138-147

[20]

Ikejemba ECX, Schuur PC. The empirical failures of attaining the societal benefits of renewable energy development projects in Sub-Saharan Africa. Renew Energy, 2020, 162: 1490-1498

[21]

Jagger P, Shively G. Land use change, fuel use and respiratory health in Uganda. Energy Policy, 2014, 67: 713-726

[22]

Jeuland MA, Pattanayak SK. Benefits and costs of improved cookstoves: assessing the implications of variability in health, forest and climate impacts. PLoS ONE, 2012

[23]

Kamp LM, Bermúdez Forn E. Ethiopia’s emerging domestic biogas sector: current status, bottlenecks and drivers. Renew Sustain Energy Rev, 2016, 60: 475-488

[24]

KENDBIP (2014) Kenya domestic biogas user survey 2014

[25]

Kenney M, Verploegen E (2017) Scaling improved cookstove companies—report from Uganda

[26]

Khan I. Drivers, enablers, and barriers to prosumerism in Bangladesh: a sustainable solution to energy poverty?. Energy Res Soc Sci, 2019, 55: 82-92

[27]

Kisekka JW (2010) Calorific value of selected multipurpose tree species used for woodfuel in Uganda’s dryland regions. Makerere University

[28]

Lascurain J, Jagoe K, Tilbor C van (2015) Willingness to pay and consumer acceptance assessment for clean cooking in Uganda. Washington

[29]

Lwiza F, Mugisha J, Walekhwa PN Dis-adoption of household biogas technologies in central Uganda. Energy Sustain Dev, 2017, 37: 124-132

[30]

MEMD (2013) Rural electrification strategy and plan 2013-2022. Kampala, The Government of the Republic of Uganda

[31]

MEMD (2014) 2014 Statistical abstract

[32]

MEMD (2016) National Charcoal Survey for Uganda 2015. Kampala

[33]

Miller RL, Ulfstjerne MA. Trees, tensions, and transactional communities: problematizing frameworks for energy poverty alleviation in the Rhino Camp refugee settlement Uganda. Energy Res Soc Sci, 2020

[34]

Müller F, Claar S, Neumann M, Elsner C. Is green a Pan-African colour? Mapping African renewable energy policies and transitions in 34 countries. Energy Res Soc Sci, 2020, 68: 101551

[35]

Munro PG, Bartlett A. Energy bricolage in Northern Uganda: rethinking energy geographies in Sub-Saharan Africa. Energy Res Soc Sci, 2019, 55: 71-81

[36]

Musinguzi WB, Okure MAE, Wang L Thermal characterization of Uganda’s Acacia hockii, Combretum molle, Eucalyptus grandis and Terminalia glaucescens for gasification. Biomass Bioenerg, 2012, 46: 402-408

[37]

MWE (2017) State of Uganda’s forestry 2016

[38]

MWLE (1992) National biomass study, phase I, 1989–1991. Kampala

[39]

MWLE (2002) National biomass study technical report of 1996–2002. Kampala

[40]

National Forestry Authority (2009) National biomass study, technical report 2005. Kampala

[41]

Orwa C, Mutua A, Kindt R, Simons A (2009) Agroforestree database:a tree reference and selection guide version 4.0. In: Agroforestree database. http://www.worldagroforestry.org/af/treedb/

[42]

QGIS Development Team (2015) QGIS Geographic information system. Open Source Geospatial Found. Proj

[43]

R Development Core Team (2016) R software. R: a language and environment for statistical computing

[44]

Tabuti JRS, Dhillion SS, Lye KA. Firewood use in Bulamogi County, Uganda: species selection, harvesting and consumption patterns. Biomass Bioenerg, 2003, 25: 581-596

[45]

UBOS (2017a) Statistical abstract 2017. Kampala

[46]

UBOS (2017b) Uganda National Household Survey 2016/17. Uganda Natl Househ Surv 272

[47]

UBOS (2019) Statistical abstract 2019. Uganda Bur Stat -Stat Abstr 384

[48]

Ugalde L, Pérez O, Mead DJ (2001) Mean annual volume increment of selected industrial forest plantation species. Rom

[49]

UNDP (2000) World energy assessement: energy and the challenge of sustainablitiy

[50]

UNHCR (2016) Multi-year pilots promoting solutions in Ghana, Senegal, Tanzania, Uganda, Costa Rica and Ecuador 2016–2019

[51]

United Nations (2015) Transforming our world: the 2030 agenda for sustainable development-resolution adopted by the General Assembly on 25 September 2015, Seventieth session, A/RES/70/1

[52]

URRP (2020) Refugees and Nationals per Distric. https://ugandarefugees.org/. Accessed 28 Jul 2020

[53]

Van Der Kroon B, Brouwer R, Van Beukering PJH. The energy ladder: theoretical myth or empirical truth? Results from a meta-analysis. Renew Sustain Energy Rev, 2013, 20: 504-513

[54]

Wickham H (2016) ggplot2: Elegant graphics for data analysis

[55]

Wickham H (2017) tidyverse: easily install and load the “tidyverse”

[56]

Yu-Ting Lee L. Household energy mix in Uganda. Energy Econ, 2013, 39: 252-261

Funding

Agroscope

AI Summary AI Mindmap
PDF

178

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/