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Abstract
The empty fruit bunches have remarkable potential for utilisation as solid fuel boilers in the production of energy. A well operated boiler with higher efficiency is vital for a good power generation plant. However, there are numerous safety and technical issues that may lead to a lower energy production rate. A simple yet complete probabilistic risk analysis is needed to predict those issues to ensure the biomass boiler operates at its maximum efficiency. In this work, a probabilistic risk assessment model for empty fruit bunch boiler using Bayesian network approach was developed. Bayesian network provides a clear probabilistic model of cause-effect relationships of the biomass boiler system. The conditional probability values were elicitated from experts’ opinion to identify the most influential factors for efficient biomass boiler operation. A case study from Renewable Energy Plant in Pahang was applied. Prediction analysis and diagnostic analysis were performed and the results show that the most important biomass boiler failure factors are corrosion and overheating. These findings are in agreement with existing literature and expert judgement. Thus, the proposed model is useful in maintaining and helping the decision maker for biomass boiler operation as well as increasing its reliability.
Highlights
Among all renewable sources in Malaysia, biomass is the most promising alternative to be utilized as the source of renewable energy [1]
As one of the world’s largest producers and exporters of palm oil, Malaysia has identified that at least 168 million tonnes of biomass has been produced by palm oil industry every year
The extraction of oil from the palm fruits has resulted in a tremendous amount of palm waste such as palm kernel shell, empty fruit bunch and many others
Summary
Among all renewable sources in Malaysia, biomass is the most promising alternative to be utilized as the source of renewable energy [1]. As one of the world’s largest producers and exporters of palm oil, Malaysia has identified that at least 168 million tonnes of biomass has been produced by palm oil industry every year. The amount of wastes keeps increasing each year and the issue with the disposal of these wastes has tends to burden the operators as it escalates the operating cost. The researchers are trying to develop more efficient method of converting the biomass into energy. This makes the safety and technical issues become important in order to convert the waste into energy
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