M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning

Falchetta, Giacomo; Stevanato, Nicolò; Moner‐Girona, Magda; Mazzoni, Davide; Colombo, Emanuela; Häfner, Manfred

doi:10.2139/ssrn.3700858

Cited by 4 publications

(3 citation statements)

References 61 publications

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“…We determined that a discrete choice experiment would be appropriate for our study because its use of hypothetical alternatives allows researchers to replicate scenarios in which decision makers would have to engage with tradeoffs based on the defining attributes and characteristics of each alternative [35]. Generally, discrete choice models are suitable for experiments in which the outcome variable can have a countable number of values (i.e., a discrete variable) [36].…”

Section: Discrete Choice Experimentsmentioning

confidence: 99%

Incorporating Elicited Preferences for Equality into Electricity System Planning Modeling

Van-Hein Sackey,

Nock,

Cao

et al. 2023

Sustainability

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Sustainable Development Goal 7 of the United Nations is to achieve universal access to clean, modern and affordable electricity by 2030. However, 600 million people in sub-Saharan Africa (SSA) currently do not have access to electricity. As a result of this energy inequality, countries in SSA need to plan electricity systems that provide access in an equitable manner. The research question we explore in this paper is how integrating elicited preferences for equality into an electricity system planning model affects investment decisions regarding technology deployment. Our novel contribution is proposing a framework in the form of a discrete choice experiment and a statistical estimation model to determine decision makers’ preferences for equality. In our study, we find that higher preferences for equality result in an increased deployment of solar diesel mini-grids. These hybrid mini-grids, in turn, drive the carbon emissions intensity of the electricity system fourfold. As such, there is a need for stakeholders in Africa’s energy sector to consider the potential divergence between a carbon-minimizing electrification strategy and equitable electrification.

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Section: Discrete Choice Experimentsmentioning

confidence: 99%

Incorporating Elicited Preferences for Equality into Electricity System Planning Modeling

Van-Hein Sackey,

Nock,

Cao

et al. 2023

Sustainability

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“…Secondly, the geospatial power demand to deliver the irrigation water must be estimated, In [20], a water balance exercise is used as a basis to estimate irrigation electricity demand on a geospatial basis in Tanzania. A similar methodology is applied in [22][23][24]. Those studies do not, however, consider the potential impacts of different soil types or the implications for irrigation water and electricity demand induced by a drought.…”

Section: Previous Studiesmentioning

confidence: 99%

A GIS-Based Approach to Estimate Electricity Requirements for Small-Scale Groundwater Irrigation

Nilsson

Mentis

Korkovelos

et al. 2021

IJGI

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Access to modern energy services is a precondition to improving livelihoods and building resilience against climate change. Still, electricity reaches only about half of the population in Sub-Saharan Africa (SSA), while about 40% live under the poverty line. Heavily reliant on the agriculture sector and increasingly affected by prolonged droughts, small-scale irrigation could be instrumental for development and climate change adaptation in SSA countries. A bottom-up understanding of the demand for irrigation and associated energy services is essential for designing viable energy supply options in an effective manner. Using Uganda as a case study, the study introduces a GIS-based methodology for the estimation of groundwater irrigation requirements through which energy demand is derived. Results are generated for two scenarios: (a) a reference scenario and (b) a drought scenario. The most critical need is observed in the northern and southern regions of the country. The total annual irrigation demand is estimated to be ca. 90 thousand m3, with the highest demand observed in the months of December through February, with an average irrigation demand of 445 mm per month. The highest energy demand is observed in the northern part of the study area in January, reaching 48 kWh/ha. The average energy demand increases by 67% in the drought scenario. The study contributes to current gaps in the existing literature by providing a replicable methodological framework and data aimed at facilitating energy system planning through the consideration of location-specific characteristics at the nexus of energy–water–agriculture.

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“…While figure 1 is a correlation, not a causation, it provides a lot of the basis for the UN Sustainable Development Goal 7, to provide 'access to affordable, reliable, sustainable and modern energy for all' (United Nations 2015). Hence, if countries in SSA aim to attain self-reliance and stronger economies, their path towards universal electrification needs to be planned to provide each sector (i.e., residential and commercial) with adequate electricity supply (Falchetta et al 2020).…”

Section: Introduction-the Energy Gapmentioning

confidence: 99%

The need for agricultural productive uses in the national electrification plan of sub-Saharan African countries—a call to action for Ethiopia

Sackey

Nock

2022

Environ. Res.: Infrastruct. Sustain.

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Access to electricity is a crucial aspect of sub-Saharan Africa’s path towards development. In light of the potential for electricity access to improve quality of life, the United Nations aims to achieve universal access to “clean, reliable, affordable and modern” electricity as Goal 7 of its Sustainable Development Goals (SDG 7). As such, governments of sub-Saharan African (SSA) countries, such as Ethiopia, have developed national electrification plans to outline their pathway to universal access to electricity. In this paper, we identify why it is essential for the national electrification plans of SSA countries to prioritize electricity access for productive uses in its agricultural sector, using Ethiopia as a case study. Reviewing existing literature and using the authors’ research, we point out that there is 3.04 terawatt-hours (TWh) of latent demand for small-scale pressurized cereal-crop irrigation alone in Ethiopia. Supplying this electricity demand for small-scale irrigation could lead to a reduction in the levelized cost of electricity of up to 95%. We conclude our paper by recommending the creation of a cross-sector national productive use commission that would be tasked with collecting and sharing relevant data from each sector and collaboratively creating a national productive use program that would ensure that Ethiopia reaps the full benefits and potential for wealth creation from access to electricity.

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M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning

Cited by 4 publications

References 61 publications

Incorporating Elicited Preferences for Equality into Electricity System Planning Modeling

Incorporating Elicited Preferences for Equality into Electricity System Planning Modeling

A GIS-Based Approach to Estimate Electricity Requirements for Small-Scale Groundwater Irrigation

The need for agricultural productive uses in the national electrification plan of sub-Saharan African countries—a call to action for Ethiopia

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