An Assessment of the Efficiency and Emissions of a Pellet Boiler Combusting Multiple Pellet Types

Jach-Nocoń, Marta; Pełka, Grzegorz; Luboń, Wojciech; Mirowski, Tomasz; Nocoń, Adam; Pachytel, Przemysław

doi:10.3390/en14154465

Cited by 24 publications

(11 citation statements)

References 14 publications

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“…As a promising energy plant, the current research on giant silvergrass mainly focuses on assessing biomass potential, and the economic and environmental benefits based on the statistical data [36,[42][43][44][45]. There are only a few studies working on the potential land resources for growing giant silvergrass.…”

Section: Discussionmentioning

confidence: 99%

Using Machine Learning to Identify the Potential Marginal Land Suitable for Giant Silvergrass (Miscanthus × giganteus)

et al. 2022

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Developing biomass energy, seen as the most important renewable energy, is becoming a prospective solution in attempting to deal with the world’s sustainability-related challenges, such as climate change, energy crisis, and carbon emission reduction. As one of the most promising second-generation energy crops, giant silvergrass (Miscanthus × giganteus) is highly valued for its high potential for biomass production and low maintenance requirements. Mapping the potential global distribution of marginal land suitable for giant silvergrass is an essential prerequisite for the development of giant silvergrass-based biomass energy. In this study, a boosting regression tree was used to identify the marginal land resources for giant silvergrass cultivation using influencing factors, which include climate conditions, soil conditions, topography conditions, and land use. The results indicate that there are 3068.25 million hectares of land resources worldwide suitable for giant silvergrass cultivation, which are mainly located in Africa (902.05 million hectares), Asia (620.32 million hectares), South America (547.60 million hectares), and North America (529.26 million hectares). Among them, countries with the most land resources, Russia and Brazil, have the first- and second-highest amounts of suitable marginal land for giant silvergrass, with areas of 373.35 and 332.37 million hectares, respectively. Our results also rank the involved factors by their contribution. Climatic conditions have the greatest influence on the spatial distribution of giant silvergrass, with an average contribution of 74.38%, followed by land use, with a contribution of 17.38%. The contribution of the soil conditions is 7.26%. The results of this study provide instructive support for future biomass energy policy development.

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Section: Discussionmentioning

confidence: 99%

Using Machine Learning to Identify the Potential Marginal Land Suitable for Giant Silvergrass (Miscanthus × giganteus)

et al. 2022

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“…The tests aimed at determining the physicochemical parameters of the types of wood under analysis were carried out in a laboratory located at the Centre for Sustainable Development and Energy Conservation at the Faculty of Geology, Geophysics and Environmental Protection of the AGH University of Science and Technology (WGGiO Ś AGH) in Miękinia. In the centre, there are conducted lectures for students and workshops for people interested in the field of use of solid biofuels and low emission causes and also testing and research to reach real data for it [56][57][58]. Its equipment allows accurate determination of energy parameters of solid fuels.…”

Section: The Analysis Of the Physicochemical Parametersmentioning

confidence: 99%

Analysis of the Efficiency of a Batch Boiler and Emissions of Harmful Substances during Combustion of Various Types of Wood

et al. 2021

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In the paper, the authors focused on the environmental problems of pollution emissions caused by households using batch boilers fired with solid fuels. The aim of this study is to analyse the course of changes in the actual efficiency and emission of a solid fuel updraft boiler, the most popular type of batch boilers used in Poland in recent years. The subject of analysis is the comparison of the values of atmospheric emissions of harmful substances depending on the type of wood burnt in the boiler. The investigation comprises the combustion characteristics of three types of woody biomass (in billets), i.e., pine, birch, and beech. Based on the carried out research of all billets, the beech has the lowest values of CO (3497 mg/m3) and particulate matter (116.9 mg/m3). Despite this, obtained results exceed the current permissible limits based on the standard PN:EN 303-5:2012. The highest efficiency (54.13%) was obtained for birch billets, the lowest for pine (45.13%). The research has shown that the real heating efficiency during the combustion of wood, irrespective of the type of wood being burnt, is low. To summarise, the outdated installations contribute to air pollution several times higher, which indicates the need to replace inefficient heat sources using solid fuels with modern equipment that meets the most stringent standards.

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“…Giant miscanthus can be successfully used in the production of compact solid biofuels [29][30][31][32], biogas and bioethanol [33][34][35]. Miscanthus' biomass is used in the production of technical papers, cardboard, packaging plywood or fibers for lining packaging, it can also be a substitute for plastics in the production of packaging [36].…”

Section: Introductionmentioning

confidence: 99%

Values of Selected Strength Parameters of Miscanthus × Giganteus Stalk Depending on Water Content and Internode Number

et al. 2022

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So far, there are no results for research on the biomechanical parameters of giant miscanthus stalks taking into account both the influence of moisture content and the internode, from which the samples were taken. Therefore, the aim of the research was to comprehensively investigate the influence of the internode number (NrNod) and water content (MC) on the values of selected biomechanical parameters (modulus of elasticity and maximum stress) determined using various stress tests (three-point bending and compression along the fibers). The research was carried out for dry stalks of different humidities and for different internodes. The results obtained in this study proved that the independent variables of the water content and the internode number cause a statistically significant influence on the values of the examined biomechanical parameters of the miscanthus stem: the modulus of elasticity in compression, the maximum stress in compression, the modulus of elasticity in bending and the maximum stress in bending. The values of the modulus of elasticity (MOE) increase when increasing the NrNod. For individual internodes, MOE values are higher with a higher MC. The values of the maximum stress (σ) also increase when increasing the internode number. For individual internodes, the σ values are lower with a higher MC.

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An Assessment of the Efficiency and Emissions of a Pellet Boiler Combusting Multiple Pellet Types

Cited by 24 publications

References 14 publications

Using Machine Learning to Identify the Potential Marginal Land Suitable for Giant Silvergrass (Miscanthus × giganteus)

Using Machine Learning to Identify the Potential Marginal Land Suitable for Giant Silvergrass (Miscanthus × giganteus)

Analysis of the Efficiency of a Batch Boiler and Emissions of Harmful Substances during Combustion of Various Types of Wood

Values of Selected Strength Parameters of Miscanthus × Giganteus Stalk Depending on Water Content and Internode Number

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