Deep Dive into Peru’s Power-Generating Technology Costs until 2035
(2015) In IIIEE Master thesis IMEN56 20151The International Institute for Industrial Environmental Economics
- Abstract
- The desire to know what the future might bring has always been part of the human nature
and as human beings, we have extrapolated that desire to most aspects of our surroundings.
Energy is a basic need for human development, and thus, energy deployment has not been
exempt from that desire. Nowadays, energy models have become a standard tool to assess
many areas of the energy sector, including projections of future energy costs. Statkraft AS, in
an attempt to strengthen its position within the emerging markets where it is present, has
developed a power cost projection model based on macroeconomic indicators and capable to
integrate learning rates from experience curves. The model seeks to provide the future energy
costs (CAPEX &... (More) - The desire to know what the future might bring has always been part of the human nature
and as human beings, we have extrapolated that desire to most aspects of our surroundings.
Energy is a basic need for human development, and thus, energy deployment has not been
exempt from that desire. Nowadays, energy models have become a standard tool to assess
many areas of the energy sector, including projections of future energy costs. Statkraft AS, in
an attempt to strengthen its position within the emerging markets where it is present, has
developed a power cost projection model based on macroeconomic indicators and capable to
integrate learning rates from experience curves. The model seeks to provide the future energy
costs (CAPEX & LCOE) of selected technologies, namely, onshore wind, solar PV and
CCGT, until 2035. This study explores the model’s theoretical foundations and addresses its
results within the Peruvian energy market. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8168502
- author
- Pasquel, Tatiana LU
- supervisor
-
- Philip Peck LU
- organization
- course
- IMEN56 20151
- year
- 2015
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Energy technology, experience curves, energy models, renewable energy, LCOE
- publication/series
- IIIEE Master thesis
- report number
- 2015:05
- ISSN
- 1401-9191
- language
- English
- id
- 8168502
- date added to LUP
- 2015-11-11 08:09:12
- date last changed
- 2015-11-11 08:09:12
@misc{8168502, abstract = {{The desire to know what the future might bring has always been part of the human nature and as human beings, we have extrapolated that desire to most aspects of our surroundings. Energy is a basic need for human development, and thus, energy deployment has not been exempt from that desire. Nowadays, energy models have become a standard tool to assess many areas of the energy sector, including projections of future energy costs. Statkraft AS, in an attempt to strengthen its position within the emerging markets where it is present, has developed a power cost projection model based on macroeconomic indicators and capable to integrate learning rates from experience curves. The model seeks to provide the future energy costs (CAPEX & LCOE) of selected technologies, namely, onshore wind, solar PV and CCGT, until 2035. This study explores the model’s theoretical foundations and addresses its results within the Peruvian energy market.}}, author = {{Pasquel, Tatiana}}, issn = {{1401-9191}}, language = {{eng}}, note = {{Student Paper}}, series = {{IIIEE Master thesis}}, title = {{Deep Dive into Peru’s Power-Generating Technology Costs until 2035}}, year = {{2015}}, }