Browsing by Autor "Emanuela Colombo"
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Item type: Item , A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community(Elsevier BV, 2019) Sergio Balderrama; Francesco Lombardi; Fabio Riva; Walter Canedo; Emanuela Colombo; Sylvain QuoilinItem type: Item , Electricity Demand Forecasting for Rural Communities in Developing Countries: Calibrating a Stochastic Model for the Bolivian Case(2023) Claudia Sanchez-Solis; Pietro Di Betta; Nicolò Stevanato; Sergio Balderrama; Emanuela Colombo; Sylvain QuoilinThe world crusade to close the electrification gap is coming to an end in most regions of the world. In recent years the research in the area has concentrated on the development of planning methods to minimise the cost of implementation. Although successful, the lack of focus on the complex dynamics that govern electricity demand lead to over/under-sizing of technical solutions resulting in waste of resources and missed developing opportunities. In this sense, this paper aims to propose an electricity demand model for rural communities in Bolivia, based on an open-source bottom-up stochastic tool for load profile computation. The “energy sufficiency” concept is used to ensure that people’s basic needs for energy are met in all the analysed cases. Information from various sources, such as on-site surveys, databases and national reports were used to characterise the main geographical areas in Bolivia and the relative specific categories of users. Specific load curves generated with the model were used as inputs in a micro-grid sizing tool and the results were compared with an approach using a demand analysis in less detail. Main results show that the model obtained is capable of generating stochastic demand curves for single or multiple rural communities according to contextual particularities. Notably, the geographic location and the socioeconomic characteristics have a significant impact in the peak loads and the total demand. Considering small industries as an income generating activity can increase in the peak load by about 45%, consequently, there is an economic impact when investing in the solution.Item type: Item , Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model(Elsevier BV, 2019) Francesco Lombardi; Sergio Balderrama; Sylvain Quoilin; Emanuela ColomboItem type: Item , Incorporating high-resolution demand and techno-economic optimization to evaluate micro-grids into the Open Source Spatial Electrification Tool (OnSSET)(Elsevier BV, 2020) Jenny Gabriela Peña Balderrama; S. Balderrama Subieta; Francesco Lombardi; Nicolò Stevanato; Andreas Sahlberg; Mark Howells; Emanuela Colombo; Sylvain QuoilinItem type: Item , Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization(Elsevier BV, 2020) Nicolò Stevanato; Francesco Lombardi; Giulia Guidicini; Lorenzo Rinaldi; Sergio Balderrama; Matija Pavičević; Sylvain Quoilin; Emanuela ColomboItem type: Item , Surrogate models for rural energy planning: Application to Bolivian lowlands isolated communities(Elsevier BV, 2021) Sergio Balderrama; Francesco Lombardi; Nicolò Stevanato; Gabriela Peña; Emanuela Colombo; Sylvain QuoilinItem type: Item , The Cost of Rural Electrification Including E-Cooking for Bolivian Medium Size Isolated Low-Lands Villages.(2019) Sergio Balderrama; Gabriela Peña; Francesco Lombardi; Nicolò Stevanato; Andreas Sahlberg; Mark Howells; Emanuela Colombo; Sylvain Quoilinpeer reviewed