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Access type: UnknownSubject: search.filters.subject.Biomass power plant

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    Assessment and analysis of multi-biomass fuels for sustainable electricity generation
    (2021-12-01)
    Wiranarongkorn, Kunlanan
    ;
    Phajam, Picharporn
    ;
    Im-orb, Karittha
    ;
    Saebea, Dang
    ;
    Arpornwichanop, Amornchai
    Many biomass power plants are not flexible, using only one fuel type, and have high CO<inf>2</inf> emissions. In this study, a new methodology to assess the multi-biomass utilization for a power plant is proposed. The results provide that the proportions of mixed biomass residues in different regions of Thailand are appropriate with lower chloride content and slagging inclination than the standard specification. However, high alkali metal oxides in biomass in the southern region lead to high fouling inclination with high fly ash deposition. The electricity production using multi-biomass fuel is more efficient with lower fuel consumption than that with single-type biomass. To generate 103.43 MW electricity production, 107.89 t h<sup>−1</sup> consumption of mixed biomass fuels in the central is lower than that with multi-biomass in other regions. However, it generates a maximum of 12.5 mol% CO<inf>2</inf> in exhaust gases which can be captured by suitable amine-based absorbents with 90.82% efficiency.
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    Improving the efficiency of water management system in biomass power plant using cyber-physical cloud computing
    (2018-08-01)
    Kungwalrut, Pranai
    ;
    Kongratana, Viriya
    ;
    Trisuwannawat, Thanit
    ;
    Tipsuwanporn, Vittaya
    ;
    Numsomran, Arjin
    Optimized water management strategies are among the most crucial concerns in a biomass power plant. Especially during the times of water scarcity, an improper water supply planning and operation result in a detrimental power generation or shut down processes. This paper aims to propose the cyber-physical cloud computing (CPCC), a mechanism of analysis and control physical process using cloud-based framework, in order to improve the efficiency of water management system in a biomass power plant. In this study, a 9.9 MW biomass power plant is implemented to investigate the performance of CPCC. The architecture of the proposed system consists of three physical tiers. The first tier is a tier of physical devices included with pressure, flow, pH sensors, water pumps and valves that are responsible for detecting the physical data and interacting with the water production process. The second tier is an edge computing device which functions as a controller, embedded server, data storage, gateway and switch to manage all operational tasks in an intranet area. The third tier is a cloud computing system which enables big data applications such as online monitoring and visualization of process operation, adaptive filtration fouling control, consuming water and total water cost analysis. The results validate the effectiveness of the proposed system as the ability of an adaptive fouling control system to adjust backwash scheduling and chemical dosing so that achieving the target of purified water quality even during the fluctuation of raw water qualities. Subsequently, the water treatment system can achieve the capability for optimal total water cost operations under a target permeate flow rate and the percent of the recovery. Significantly, the data analytics in the CPCC reflect current operational requirements of water under local climate conditions, likewise contribute to the practical solution for sustainable water resource planning in the energy production.
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    Environmental analysis of biomass power plants for sustainability in Thailand
    (2017-07-02)
    Jongprasithporn, Manutchanok
    ;
    Martsri, Adisak
    ;
    Phuangkaew, Supapat
    ;
    Yeamma, Wannapong
    ;
    Yodpijit, Nantakrit
    The environmental impact of electricity generation is becoming more critical as electricity consumption continues to increase. This is because the world's population is growing very fast and modern communities use large amounts of electric power. This paper presents the assessment and management of environmental risk of 7.5 and 9.9 MW biomass power plants in Thailand. Three environmental factors (air, sound, and water) have been examined in this research project. In the environmental analysis, comparisons of measured environmental data from the sites and environmental standards by USEPA (United States Environmental Protection Agency) and Thailand's PCD (Pollution Control Department) are performed. This research project focuses on sustainability that impacts economic, social, and environment aspects by communities, companies, and individuals. The sustainable development of the research project can lead to a coherent and long-term balance between these three aspects. Recent findings from the environmental monitoring system revealed that quality levels of all three environmental factors are under the standards. It is implied that these two biomass power plants do not negatively affect the environment and satisfy the essential needs of humanity.