Modeling the Renewable Energy Deployment in the Peruvian Power Supply
The actual electricity system of Peru relies nearly exclusively nowadays on hydropower plants and conventional energy plants. This high percentage of electricity generated from hydropower plants, may cause uncertainty in the electrical supply. Also, the high share of thermal plants has a huge impact...
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| Format: | master thesis |
| Publication Date: | 2021 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/353228 |
| Online Access: | https://hdl.handle.net/2117/353228 |
| Access Level: | Open access |
| Keyword: | Electric power systems -- Peru -- Case studies Water resources development -- Peru Sistemes de distribució d'energia elèctrica -- Perú -- Estudi de casos Recursos hidràulics -- Explotació -- Perú Àrees temàtiques de la UPC::Energies::Energia hidràulica Àrees temàtiques de la UPC::Economia i organització d'empreses |
| Summary: | The actual electricity system of Peru relies nearly exclusively nowadays on hydropower plants and conventional energy plants. This high percentage of electricity generated from hydropower plants, may cause uncertainty in the electrical supply. Also, the high share of thermal plants has a huge impact on the environment and should decrease over the next years. The main goal of this project, the research question, is: Which would be the cost optimal deployment of renewable energy in Peru whilst facing the challenges of climate change for 2050? The paper is structured in three main blocks. Firstly, the potential of each of the energy sources will be quantified. The next step consists in modelling the energy system of Peru using urbs, a linear programming optimisation model which finds the minimum cost energy system to satisfy the given demand. And finally we will simulate different future scenarios such as limiting the emissions of CO2 and climate scenarios such as drought, “el Niño” and “la Niña” to find the most cost optimal solution for each situation for 2030 and 2050. The results of the simulations indicate that hydropower is more reliable than we had assumed at the start of this project and that a future with a higher share of renewable energy and reduced CO2 emissions is possible. The chosen scenario to be developed in the country is the scenario with extreme drought, in order to have a reliable energy system |
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