Matches in SemOpenAlex for { <https://semopenalex.org/work/W1609378059> ?p ?o ?g. }
- W1609378059 endingPage "301" @default.
- W1609378059 startingPage "290" @default.
- W1609378059 abstract "Large-scale microalgae cultivations for CO2 bio-sequestration from power plants can be an alternative process to conventional technologies if the capital investments associated with carbon capture, transport and storage can be reduced or avoided. In order to counterbalance the costs required to operate massive microalgae cultivations, it is necessary to create additional revenues through biomass sales. This manuscript examines the techno-economics of microalgae cultivations for the integration with three power plant technologies using an artificial neural network model. The economics are estimated using the net present value approach. The assessment is carried out at photosynthesis efficiencies ranging from 2% to 6%. The sensitivity assessment shows microalgae selling prices in the range of $440–1028/t at a photosynthetic efficiency of 4% for low and high cost scenarios in order to achieve an electricity price similar to that from a conventional power plant without a CO2 capture and storage." @default.
- W1609378059 created "2016-06-24" @default.
- W1609378059 creator A5000083080 @default.
- W1609378059 creator A5003074767 @default.
- W1609378059 creator A5044419007 @default.
- W1609378059 date "2016-01-01" @default.
- W1609378059 modified "2023-10-03" @default.
- W1609378059 title "Techno-economic assessment of CO2 bio-fixation using microalgae in connection with three different state-of-the-art power plants" @default.
- W1609378059 cites W1599484651 @default.
- W1609378059 cites W1968238414 @default.
- W1609378059 cites W1971102736 @default.
- W1609378059 cites W1973361114 @default.
- W1609378059 cites W1989684209 @default.
- W1609378059 cites W2002016471 @default.
- W1609378059 cites W2010156503 @default.
- W1609378059 cites W2019459000 @default.
- W1609378059 cites W2020292221 @default.
- W1609378059 cites W2041194712 @default.
- W1609378059 cites W2042027369 @default.
- W1609378059 cites W2044370961 @default.
- W1609378059 cites W2059811407 @default.
- W1609378059 cites W2066823770 @default.
- W1609378059 cites W2082531784 @default.
- W1609378059 cites W2092565867 @default.
- W1609378059 cites W2094064759 @default.
- W1609378059 cites W2102280604 @default.
- W1609378059 cites W2102409031 @default.
- W1609378059 cites W2102764178 @default.
- W1609378059 cites W2120972776 @default.
- W1609378059 cites W2126643845 @default.
- W1609378059 cites W2136935390 @default.
- W1609378059 cites W2140142258 @default.
- W1609378059 cites W2153922477 @default.
- W1609378059 cites W2463182922 @default.
- W1609378059 cites W3141386157 @default.
- W1609378059 cites W4211227535 @default.
- W1609378059 cites W4253712420 @default.
- W1609378059 doi "https://doi.org/10.1016/j.compchemeng.2015.09.001" @default.
- W1609378059 hasPublicationYear "2016" @default.
- W1609378059 type Work @default.
- W1609378059 sameAs 1609378059 @default.
- W1609378059 citedByCount "41" @default.
- W1609378059 countsByYear W16093780592016 @default.
- W1609378059 countsByYear W16093780592017 @default.
- W1609378059 countsByYear W16093780592018 @default.
- W1609378059 countsByYear W16093780592019 @default.
- W1609378059 countsByYear W16093780592020 @default.
- W1609378059 countsByYear W16093780592021 @default.
- W1609378059 countsByYear W16093780592022 @default.
- W1609378059 countsByYear W16093780592023 @default.
- W1609378059 crossrefType "journal-article" @default.
- W1609378059 hasAuthorship W1609378059A5000083080 @default.
- W1609378059 hasAuthorship W1609378059A5003074767 @default.
- W1609378059 hasAuthorship W1609378059A5044419007 @default.
- W1609378059 hasBestOaLocation W16093780592 @default.
- W1609378059 hasConcept C115540264 @default.
- W1609378059 hasConcept C119599485 @default.
- W1609378059 hasConcept C121955636 @default.
- W1609378059 hasConcept C127413603 @default.
- W1609378059 hasConcept C134560507 @default.
- W1609378059 hasConcept C144133560 @default.
- W1609378059 hasConcept C157062255 @default.
- W1609378059 hasConcept C162324750 @default.
- W1609378059 hasConcept C183688256 @default.
- W1609378059 hasConcept C183696295 @default.
- W1609378059 hasConcept C18903297 @default.
- W1609378059 hasConcept C195487862 @default.
- W1609378059 hasConcept C199873434 @default.
- W1609378059 hasConcept C206658404 @default.
- W1609378059 hasConcept C21880701 @default.
- W1609378059 hasConcept C22884784 @default.
- W1609378059 hasConcept C39432304 @default.
- W1609378059 hasConcept C4311470 @default.
- W1609378059 hasConcept C530467964 @default.
- W1609378059 hasConcept C59822182 @default.
- W1609378059 hasConcept C86803240 @default.
- W1609378059 hasConceptScore W1609378059C115540264 @default.
- W1609378059 hasConceptScore W1609378059C119599485 @default.
- W1609378059 hasConceptScore W1609378059C121955636 @default.
- W1609378059 hasConceptScore W1609378059C127413603 @default.
- W1609378059 hasConceptScore W1609378059C134560507 @default.
- W1609378059 hasConceptScore W1609378059C144133560 @default.
- W1609378059 hasConceptScore W1609378059C157062255 @default.
- W1609378059 hasConceptScore W1609378059C162324750 @default.
- W1609378059 hasConceptScore W1609378059C183688256 @default.
- W1609378059 hasConceptScore W1609378059C183696295 @default.
- W1609378059 hasConceptScore W1609378059C18903297 @default.
- W1609378059 hasConceptScore W1609378059C195487862 @default.
- W1609378059 hasConceptScore W1609378059C199873434 @default.
- W1609378059 hasConceptScore W1609378059C206658404 @default.
- W1609378059 hasConceptScore W1609378059C21880701 @default.
- W1609378059 hasConceptScore W1609378059C22884784 @default.
- W1609378059 hasConceptScore W1609378059C39432304 @default.
- W1609378059 hasConceptScore W1609378059C4311470 @default.
- W1609378059 hasConceptScore W1609378059C530467964 @default.
- W1609378059 hasConceptScore W1609378059C59822182 @default.
- W1609378059 hasConceptScore W1609378059C86803240 @default.
- W1609378059 hasLocation W16093780591 @default.