Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7005511 | Chemical Engineering Research and Design | 2018 | 46 Pages |
Abstract
Designing a biomass combined heat and power (CHP) system that fulfils uncertain energy demands is a challenging task. This task becomes increasingly complex when historical data and probability distributions are not well defined. This work presents a newly developed decision analysis design framework for biomass CHP system which considers three types of decision-makers, namely optimistic, pessimistic and cautious decision-makers. To illustrate the proposed framework, a palm-based biomass CHP case study is solved. In addition, sensitivity analysis is performed to evaluate the effect of Feed-in Tariff (FiT) rates towards the design of CHP system. The optimum biomass CHP design is then further analysed to determine the “must-have”, “optional” and “must-avoid” equipment within a given range of power demand. The proposed decision analysis design framework enables decision makers to make informed decisions.
Keywords
MCsSREPCrude palm kernel oilFFBNLPCCHPPKSMRCPMFCPOCAPEXMSWMILPEFBCHPMINLPmixed-integer linear programmingNon-linear programmingMixed-integer non-linear programmingLinear programmingCombined Heat and PowerFeed-in tariffEmpty fruit bunchesRETMonte Carlo Simulationcrude palm oilMunicipal solid wasteBiomassPalm oil mill effluentRenewable energy technologiesFITcapital expendituresPalm kernel shellPOMEFresh fruit bunches
Related Topics
Physical Sciences and Engineering
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Authors
Wen Choong Ling, Viknesh Andiappan, Yoke Kin Wan, Denny K.S. Ng,