Bulut, KezbanKayakutlu, GulgunDaim, Tugrul2020-06-252020-06-252018closedAccess1543-50751543-5083https://doi.org/10.1080/15435075.2018.1454321https://hdl.handle.net/20.500.12587/7485The 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.eninfo:eu-repo/semantics/closedAccessBayesian belief networkdecision-makingscenario analysistri-generationtri-generation investmentArticle15534735710.1080/15435075.2018.14543212-s2.0-85044466479Q2WOS:000429031900008Q3