dc.contributor.author | Lindroos, Tomi | |
dc.contributor.author | Rydén, Magnus | |
dc.contributor.author | Langørgen, Øyvind | |
dc.contributor.author | Pursiheimo, Esa | |
dc.contributor.author | Tikkarainen, Toni | |
dc.date.accessioned | 2019-09-05T08:53:19Z | |
dc.date.available | 2019-09-05T08:53:19Z | |
dc.date.created | 2019-06-13T10:36:16Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Sustainable Energy Technologies and Assessments. 2019, 34 157-172. | nb_NO |
dc.identifier.issn | 2213-1388 | |
dc.identifier.uri | http://hdl.handle.net/11250/2612594 | |
dc.description.abstract | Additional investments to negative emission technologies, such as reforestation or bioenergy with carbon capture and storage (BECCS), are required to achieve Paris Agreement targets. Chemical-looping combustion of biomass (Bio-CLC)is an under-the-development combustion technology that could provide relatively low cost negative CO2 emissions. We modelled Bio-CLC units as a part of a city-level district heating and cooling (DHC)grid based on literature and our experimental work with Bio-CLC pilot plants. We applied robust decision-making (RDM)to identify preconditions that favour Bio-CLC over certain competing investment options. In the selected case study, a Bio-CLC unit had a 50% chance to be profitable (10% Internal rate of return or better)around the level of 10 €/tCO2 net income from captured bio-CO2. If the net income from captured bio-CO2 was below 10 €/tCO2, as currently, large heat pumps with COP of 3.5 were the most robust of the studied investment options. Traditional bio-CHP performed better than large heat pumps only when electricity market price was above 50 €/MWh and biomass price below 20 €/MWh. Performed RDM analysis provides a systemic background for both technology developers and DHC operators when considering the competitiveness of the technology in an uncertain future. © 2019 The Authors | nb_NO |
dc.description.abstract | Robust decision making analysis of BECCS (bio-CLC) in a district heating and cooling grid | nb_NO |
dc.language.iso | eng | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Robust decision making analysis of BECCS (bio-CLC) in a district heating and cooling grid | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.rights.holder | The Authors | nb_NO |
dc.source.pagenumber | 157-172 | nb_NO |
dc.source.volume | 34 | nb_NO |
dc.source.journal | Sustainable Energy Technologies and Assessments | nb_NO |
dc.identifier.doi | 10.1016/j.seta.2019.05.005 | |
dc.identifier.cristin | 1704562 | |
cristin.unitcode | 7548,70,0,0 | |
cristin.unitname | Termisk energi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |