A Review of Thermal Co-Conversion of Coal and Biomass/Waste

Tchapda, Aime H.; Pisupati, Sarma V.

doi:10.3390/en7031098

Cited by 188 publications

(131 citation statements)

References 252 publications

(412 reference statements)

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“…It was found that the reactivity of the fuel increased with the increasing proportion of the A. Mangium wood in the fuel. This result is in good agreement with previous reported research (Tchapda & Pisupati, 2014). The detail of both reactivity and maximum peak temperatures achieved during the pyrolysis of fuel at various heating rates is presented in Table 3.…”

Section: Resultssupporting

confidence: 81%

Thermal Evolution Profile Analysis for Pyrolysis of Coal – Acacia Mangium Wood Blends

Barlin¹,

Gunawan²,

Arifin³

et al. 2016

IJTech

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Due to critical environmental issues, increasing future energy supplies and decreasing reserved energy resources are currently the subject of comprehensive research. The use of biomass as a renewable energy resource may be helpful in solving current energy shortfalls, particularly for countries that have abundant biomass resources. In this study, pyrolysis of coal, Acacia Mangium wood, and their respective blend samples were investigated using proximate analysis and Thermogravimetric (TG-DTG). A mixture of coal and A. Mangium wood with a weight ratio 100:0, 90:10, 50:50, 10:90, and 0:100, were used and non-isothermal conditions at a constant heating rate of 5, 15, and 30°C/min were applied. Thermal evolution profile analysis of the pyrolysis process confirms that the reactivity of the fuel increased with the increasing proportion of the biomass in the fuel. The reactivity and maximum temperatures increased with the increasing heating rates. Proximate analysis showed the potential of biomass of A. Mangium wood to be used as a mixture with coal in terms of low ash and high volatile matter content.

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Section: Resultssupporting

confidence: 81%

Thermal Evolution Profile Analysis for Pyrolysis of Coal – Acacia Mangium Wood Blends

Barlin¹,

Gunawan²,

Arifin³

et al. 2016

IJTech

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“…This technology is a suitable option in the treatment of biomass prior to energy recovery [1]. The Institute is attempting to develop new progressive densification machines, and trying to optimize the biomass treatment process prior to densification.…”

Section: Introductionmentioning

confidence: 99%

Behavior of Beech Sawdust during Densification into a Solid Biofuel

et al. 2015

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Abstract:In solid biofuel manufacture technological and material variables influence the densification process and thus also the final briquette quality. The impact of these technological variables, especially compression pressure and compression temperature, and also of the material parameters (particle size and moisture content) can generally be observed during biomass densification in the quality indicators, where the abovementioned variables have a significant influence, especially on the mechanical indicators of quality (briquette density, mechanical durability, etc.). This paper presents the results of experimental research dealing with determining the relationship between the technological and the material variables during densification of beech sawdust. The main goal of the paper is to determine the mutual interaction between compression pressure, compression temperature and material particle size. Research findings were obtained using single-axis densification. The influence of the particle size interacting with compression pressure and compression temperature on the final briquette density was determined. The research findings obtained should prove valuable in briquette production and also in the engineering of densification machines.

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“…In biomass technology, the improvement of the exhaust quality and its contents from hydrogen and carbon faces has seen many updates through the years. Many techniques and approaches, targeting the enhancement of the generation and the reduction of the CO 2 are investigated in [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Reconfigured Whale Optimization Technique (RWOT) for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt

et al. 2018

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This paper studies the effect on the rate of growth of carbon dioxide emission in seaports' atmosphere of replacing a part of the fossil fuel electrical power generation by clean renewable electrical energies, through two different scheduling strategies. The increased rate of harmful greenhouse gas emissions due to conventional electrical power generation severely affects the whole global atmosphere. Carbon dioxide and other greenhouse gases emissions are responsible for a significant share of global warming. Developing countries participate in this environmental distortion to a great percentage. Two different suggested strategies for renewable electrical energy scheduling are discussed in this paper, to attain a sustainable green port by the utilization of two mutual sequential clean renewable energies, which are biomass and photovoltaic (PV) energy. The first strategy, which is called the eco-availability mode, is a simple method. It is based on operating the renewable electrical energy sources during the available time of operation, taking into consideration the simple and basic technical issues only, without considering the sophisticated technical and economical models. The available operation time is determined by the environmental condition. This strategy is addressed to result on the maximum available Biomass and PV energy generation based on the least environmental and technical conditions (panel efficiency, minimum average daily sunshine hours per month, minimum average solar insolation per month). The second strategy, which is called the Intelligent Scheduling (IS) mode, relies on an intelligent Reconfigured Whale Optimization Technique (RWOT) based-model. In this strategy, some additional technical and economical issues are considered. The studied renewable electrical energy generation system is considered in two scenarios, which are with and without storage units. The objective (cost) function of the scheduling optimization problem, for both scenarios, are developed. Also, the boundary conditions and problem constraints are concluded. The RWOT algorithm is an updated Whale Optimization Algorithm (WOA). It is developed to accelerate the rate of reaching the optimal solution for the IS problem. The two strategies simulation and implementation are illustrated and applied to the seaport of Damietta, which is an Egyptian port, located 10 km to the west of the Nile River (Damietta Branch). The scheduling of PV and biomass energy generation during the different year months is examined for both strategies. The impact of renewable electrical energies generation scheduling on carbon dioxide emission and consequently global warming is discussed. The saving in carbon dioxide emission is calculated and the efficient results of the suggested models are clarified. The carbon dioxide emission is reduced to around its fifth value, during renewable energy operation. This work focuses on decreasing the rate of growth of carbon dioxide emission coming from fossil fuel electrical power generation in Egypt, targ...

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A Review of Thermal Co-Conversion of Coal and Biomass/Waste

Cited by 188 publications

References 252 publications

Thermal Evolution Profile Analysis for Pyrolysis of Coal – Acacia Mangium Wood Blends

Thermal Evolution Profile Analysis for Pyrolysis of Coal – Acacia Mangium Wood Blends

Behavior of Beech Sawdust during Densification into a Solid Biofuel

A Reconfigured Whale Optimization Technique (RWOT) for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt

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