On energy modelling for a range of spatial, temporal and technological scales

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Keppo, Ilkka
dc.date.accessioned 2012-08-23T11:28:01Z
dc.date.available 2012-08-23T11:28:01Z
dc.date.issued 2009
dc.identifier.isbn 978-952-248-185-6
dc.identifier.isbn 978-952-248-184-9 (printed) #8195;
dc.identifier.issn 1795-4584
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/4683
dc.description.abstract In this dissertation a number of modeling studies, ranging from process specific mathematical formulations to global long term climate consequences of energy and emission scenarios, are presented and the commonalities, and differences, across the existing energy modeling methodologies and applications are reviewed. For the regional modeling work mathematical representations are developed for the operation of small biofuel fired CHP plants. These mathematical descriptions are then used in a non-linear optimization model, in order to evaluate the economic feasibility of connecting such a CHP plant to a local district heating grid. The results indicate that under the assumed policy and economic conditions, such a CHP plant would not be able to compete with a biofuel fired heat-only boiler. The global, long term part of this work describes the modification and application of a global energy system model for a range of climate related issues. An endogenous description of "learning by doing" is implemented in the model and the subsequent model results show that although technological progress alone is unlikely to lead to climate stabilization, and therefore specific policies aimed at emission mitigation are a necessity, the lowered costs resulting from the "learning by doing" effect can reduce the mitigation costs considerably. The further studies establish that if the climate policy regime is incomplete, in the sense that some regions join it considerably later than others, more stringent targets might be difficult to reach and they will certainly be more expensive. Finally, a probabilistic study shows that reaching ambitious temperature targets with a high likelihood might not only require a wide portfolio of mitigation options and relatively early action, but it may also be that scenario specific indicators, such as demographic, economic and technological developments would need to progress in favorable manner. In the summary section the field of energy modeling is reviewed and presented in terms of methodologies and applications on the one hand and in terms of the system borders of the models on the other. The studies presented in this thesis and in the literature are placed within this framework and the commonalities of models appearing very different on the first look are pointed out. en
dc.format.extent Verkkokirja (657 KB, 57 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Teknillinen korkeakoulu en
dc.relation.ispartofseries TKK dissertations, 198 en
dc.relation.haspart [Publication 1]: Tuula Savola and Ilkka Keppo. 2005. Off-design simulation and mathematical modeling of small-scale CHP plants at part loads. Applied Thermal Engineering, volume 25, numbers 8-9, pages 1219-1232. © 2004 Elsevier Science. By permission. en
dc.relation.haspart [Publication 2]: Ilkka Keppo and Tuula Savola. 2007. Economic appraisal of small biofuel fired CHP plants. Energy Conversion and Management, volume 48, number 4, pages 1212-1221. © 2006 Elsevier Science. By permission. en
dc.relation.haspart [Publication 3]: Shilpa Rao, Ilkka Keppo, and Keywan Riahi. 2006. Importance of technological change and spillovers in long-term climate policy. The Energy Journal, volume 27, Special Issue on Endogenous Technological Change and the Economics of Atmospheric Stabilisation, pages 123-139. en
dc.relation.haspart [Publication 4]: Ilkka Keppo and Shilpa Rao. 2007. International climate regimes: Effects of delayed participation. Technological Forecasting and Social Change, volume 74, number 7, pages 962-979. © 2006 Elsevier Science. By permission. en
dc.relation.haspart [Publication 5]: Ilkka Keppo, Brian C. O'Neill, and Keywan Riahi. 2007. Probabilistic temperature change projections and energy system implications of greenhouse gas emission scenarios. Technological Forecasting and Social Change, volume 74, number 7, pages 936-961. © 2006 Elsevier Science. By permission. en
dc.subject.other Energy en
dc.title On energy modelling for a range of spatial, temporal and technological scales en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.department Energiatekniikan laitos fi
dc.subject.keyword energy modelling en
dc.subject.keyword optimization en
dc.subject.keyword system analysis en
dc.subject.keyword CHP en
dc.subject.keyword climate change en
dc.identifier.urn URN:ISBN:978-952-248-185-6
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en


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