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Loss-of-load probability analysis for optimization of small off-grid PV-battery systems in Bolivia
KTH Royal Institute of Technology, Stockholm, Sweden.
KTH Royal Institute of Technology, Stockholm, Sweden.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-1351-9245
KTH Royal Institute of Technology, Stockholm, Sweden.
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2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 142, p. 3715-3720Article in journal (Refereed) Published
Abstract [en]

This study evaluates the use of energy storage technologies coupled to renewable energy sources in rural electrification as a way to address the energy access challenge. Characteristic energy demanding applications will differently affect the operating conditions for off-grid renewable energy systems. This paper discusses and evaluates simulated photovoltaic power output and battery state of charge profiles, using estimated climate data and electricity load profiles for the Altiplanic highland location of Patacamaya in Bolivia to determine the loss of load probability as optimization parameter. Simulations are performed for three rural applications: household, school, and health center. Increase in battery size prevents risk of electricity blackouts while increasing the energy reliability of the system. Moreover, increase of PV module size leads to energy excess conditions for the system reducing its efficiency. The results obtained here are important for the application of off-grid PV-battery systems design in rural electrification projects, as an efficient and reliable source of electricity.

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. Vol. 142, p. 3715-3720
National Category
Energy Engineering
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URN: urn:nbn:se:mdh:diva-38726DOI: 10.1016/j.egypro.2017.12.266Scopus ID: 2-s2.0-85041497614OAI: oai:DiVA.org:mdh-38726DiVA, id: diva2:1186530
Available from: 2018-02-28 Created: 2018-02-28 Last updated: 2018-02-28Bibliographically approved

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Campana, Pietro Elia

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