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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Ndoro village load demand dataset

Authors: Giacomo Crevani; Castro Soares;

Ndoro village load demand dataset

Abstract

Dataset of Ndoro village hourly-resolution load demand data computed from aggregated data collected during on-field campagns in 2019-2020. The village of Ndoro is located along the national street, in the Administrative Post of Ndoro, District of Caia, Sofala Province, Mozambique, at coordinates 34°56'35.6''E 18°6'59.5''S. The dataset, built in excel, is structured as follows: The "Baseload demand" sheet reports the parameters of the appliances of the 69 users under the 14 classes. The parameters are defined according to the v0.3.1 of RAMP, an open-source software for the stochastic simulation of a user-driven energy demand time series, with existing applications in off-grid rural electrification. The "Baseload results" sheet reports the RAMP simulation results for the first year of the modelling period, differentiating between residential demand, productive activities and public services. Four scenarios of demand evolution and associated results are considered in the following sheets, accounting for evolutions estimated from the on-field data collected.The scenarios, showing a progressive upscaling of load demand along the years, introduce: New appliances in Scenario 1 New appliances and new classes of users in Scenario 2 New appliances, new classes of users and new appliances associated to the new classes in Scenario 3 New energy intensive appliances, new classes of users and new appliances associated to the new classes in Scenario 4

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Keywords

Load demand, Rural electrification, Mozambique

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