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Tesi etd-05082019-111616


Thesis type
Tesi di dottorato di ricerca
Author
FIORITI, DAVIDE
URN
etd-05082019-111616
Title
Mini-grids to foster rural electrification in developing countries. Optimal planning, design and operation
Settore scientifico disciplinare
ING-IND/33
Corso di studi
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Commissione
tutor Prof. Poli, Davide
tutor Dott. Duenas-Martinez, Pablo
tutor Prof. Giglioli, Romano
tutor Prof. Ceraolo, Massimo
commissario Prof. Bekkering, Jan
commissario Prof. Furfari, Samuele
Parole chiave
  • microgrids; multi-year; stochastic; optimization
Data inizio appello
06/06/2019;
Consultabilità
parziale
Data di rilascio
06/06/2022
Riassunto analitico
Governments of developing countries are struggling to foster universal electricity access in their territory. Past policies have prioritized the peri-urban areas where the high-density population justifies the costs of extending the national grid, but rarely the same approach is affordable for rural areas, where people live in poor conditions with low demand related to basic needs, like lighting and mobile-phone charging. Within this context, isolated power grids, so called mini-grids, based on renewable sources and limited amount of fuel have demonstrated to provide good quality electricity at a reasonable price, thereby enabling the socio-economic development of the local community. However, the high business risks and payback uncertainties still curb many private and public initiatives. This research aims at de-risking mini-grid projects and reducing the financial burden through the development of advanced planning, sizing and operating methods for rural mini-grids that minimize operating and investment costs, while addressing the stochasticity of load, renewable sources and fuel procurement through Monte Carlo simulations. A novel stochastic operating approach based on Monte Carlo scenarios was proposed, as well as a new classification of stochastic approaches reviewed in literature. Moreover, the effect of using predictive strategies in the design phase has been studied and the results suggested the possible use of simplified strategies to optimally design mini-grids. Finally, a multi-year stochastic dynamic technique is proposed to plan the design of a mini-grid under load growth, which is very steep and unpredictable in newly electrified communities. The methodology enabled deferring the installation of components as the demand grows, thus achieving important savings in term of net present costs over traditional techniques, even more than 35%.
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