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Conserving the dwindling energy sources and preserving the environment are pertinent twain sustainable development issues in climes where renewable energy techniques have not matured. While the use of viable alternative sources of fuels has been identified as being able to minimize the occurrences of power outages caused by short supply and non-availability of the primary fuel for generating electricity in the thermal power plants, the use of operating conditions which are favorable from both thermodynamic and environmental viewpoints is equally essential for the preservation of energy sources and the environment. In this work, air-fuel parametric studies on low-pour fuel oil (LPFO) as an alternative to natural gas in electricity generation were conducted based on environmental impacts. Typical emissions from a boiler designed to fire both fuels were simulated with HYSYS 8.8. The potential environmental impacts (global warming, eutrophication, acidification, air smog, and human health particulate) were simulated using GaBi. The outcomes of the studies show that an air-fuel ratio of 16.1 previously prescribed in earlier work from a thermodynamic viewpoint was not favorable to all the environmental indicators considered. A more informed decision on the choice of air-fuel ratio for fuel combustion can be achieved by developing a robust and encompassing pollution tax.
Conserving the dwindling energy sources and preserving the environment are pertinent twain sustainable development issues in climes where renewable energy techniques have not matured. While the use of viable alternative sources of fuels has been identified as being able to minimize the occurrences of power outages caused by short supply and non-availability of the primary fuel for generating electricity in the thermal power plants, the use of operating conditions which are favorable from both thermodynamic and environmental viewpoints is equally essential for the preservation of energy sources and the environment. In this work, air-fuel parametric studies on low-pour fuel oil (LPFO) as an alternative to natural gas in electricity generation were conducted based on environmental impacts. Typical emissions from a boiler designed to fire both fuels were simulated with HYSYS 8.8. The potential environmental impacts (global warming, eutrophication, acidification, air smog, and human health particulate) were simulated using GaBi. The outcomes of the studies show that an air-fuel ratio of 16.1 previously prescribed in earlier work from a thermodynamic viewpoint was not favorable to all the environmental indicators considered. A more informed decision on the choice of air-fuel ratio for fuel combustion can be achieved by developing a robust and encompassing pollution tax.
The utilization of Empty fruit bunch (EFB) in energy production has increased in Malaysia over the last two decades. The EFB can be used as a solid fuel in a boiler system for heat and power generation. However, numerous safety and technical issues lead to a lower energy production rate. A holistic probabilistic risk analysis is developed using the Bayesian Belief Network (BBN) to reduce the risk in the boiler system. The Conditional Probability Table (CPT) indicates the influence strength between the parent node and child node in BBN. Due to scarcely available information on EFB boiler, elicitation from the expert’s opinion is vital. The formulation for boiler failures likelihood prediction that relies on experts’ perceptions was developed using the Weighted Sum Algorithm (WSA). A case study from BioPower Plant in Pahang was applied in this project. The model illustrates the relationship between the cause and the effect of the biomass boiler efficiency in a systematic way. Two types of analyses, prediction and diagnostic analysis, were performed. The results facilitated the decision-maker to predict and identify the influential underlying factors of the boiler efficiency, respectively. The result shows that the most important boiler failure factor is combustion stability. It agrees with experts’ experience that most biomass boiler failure was caused by EFB, which contains high moisture content that affects flame stability. The proposed formulation for expert opinions and perceptions conversion can be utilized for risk analysis to benefit the boiler and other infrastructure that relies on experts’ experience.
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