Tri-generation investment analysis using Bayesian network: A case study
dc.contributor.author | Bulut, Kezban | |
dc.contributor.author | Kayakutlu, Gulgun | |
dc.contributor.author | Daim, Tugrul | |
dc.date.accessioned | 2020-06-25T18:29:51Z | |
dc.date.available | 2020-06-25T18:29:51Z | |
dc.date.issued | 2018 | |
dc.department | Kırıkkale Üniversitesi | |
dc.description.abstract | The increasing energy demand, increasing energy dependency, energy supply security, and environmental concerns have become a part of business policies since COP21 agreements in Paris, 2015. Combined cooling, heating, and power (CCHP or tri-generation) systems play an important role in paying the necessary attention to these policies. Tri-generation investment is a complex decision with hybrid use of energy resources. This article aims to reduce the complexity of this decision by the use of Bayesian belief networks in pre-investment stage of tri-generation investment project cycle. The proposed model gives an insight into decision analysis and helps the decision-makers either generate or purchase from it in order to meet the energy demand with different scenarios. The model is studied for a university case. The investment decision for a CCHP (tri-generation) system will be discussed as an alternative for purchasing the electricity and natural gas from the national grids. | en_US |
dc.identifier.citation | closedAccess | en_US |
dc.identifier.doi | 10.1080/15435075.2018.1454321 | |
dc.identifier.endpage | 357 | en_US |
dc.identifier.issn | 1543-5075 | |
dc.identifier.issn | 1543-5083 | |
dc.identifier.issue | 5 | en_US |
dc.identifier.scopus | 2-s2.0-85044466479 | |
dc.identifier.scopusquality | Q2 | |
dc.identifier.startpage | 347 | en_US |
dc.identifier.uri | https://doi.org/10.1080/15435075.2018.1454321 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12587/7485 | |
dc.identifier.volume | 15 | en_US |
dc.identifier.wos | WOS:000429031900008 | |
dc.identifier.wosquality | Q3 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Taylor & Francis Inc | en_US |
dc.relation.ispartof | International Journal Of Green Energy | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Bayesian belief network | en_US |
dc.subject | decision-making | en_US |
dc.subject | scenario analysis | en_US |
dc.subject | tri-generation | en_US |
dc.subject | tri-generation investment | en_US |
dc.title | Tri-generation investment analysis using Bayesian network: A case study | en_US |
dc.type | Article |