High-Grade Chemicals and Biofuels Produced from Marginal Lands Using an Integrated Approach of Alcoholic Fermentation and Pyrolysis of Sweet Sorghum Biomass Residues

New global directions align agricultural land resources towards food production; therefore, marginal lands could provide opportunities for second-generation energy crops, assuming that in the difficult conditions of plant development, productivity can be maintained at relatively high levels. Sustainable bioenergy production on marginal lands represents an ambitious objective, offering high-quality biofuels without competing with the agri-food industry, since it allows successful feedstock production to be performed on unmanaged areas. However, marginal land feedstock production generally shows several agronomic, techno-economic, and methodological challenges, leading to decreases in the obtained quantities of biomass and profitability. Sweet Sorghum is a technical plant that has the needed qualities to produce large amounts of biofuels on marginal lands. It is a high biomass- and sugar-yielding crop, characterized by a high photosynthetic efficiency and low fertilizer requirement, is resistant to drought, and adapts well to different climate areas. Marginal lands and contaminated soils provide a favorable development environment for plants such as sweet sorghum; however, in-depth research studies on biomass productivity must be carried out, as well as advanced quality evaluation of the products, in order to develop combined technologies that use resources efficiently. The present study starts with a comparative evaluation of two sweet sorghum crops established on both marginal and regular lands, assessing plant development characteristics and juice production, and an evaluation of bioethanol generation potential. The vegetal wastes resulting from the processing were treated by pyrolysis, with the aim of maximizing the productivity of high-quality liquid biofuels and chemicals. The charcoal obtained in the thermal processes was considered as an amendment of the soil so that marginal land quality could be improved over time.

RECYCLING BIOSOLIDS TO IMPROVE MARGINAL LANDS FOR BIOENERGY FEEDSTOCK PRODUCTION IN UKRAINE

Energy independence is one of the national priorities facing Ukraine today. Plant-based feedstocks have the potential to diversify Ukraine’s energy independence by decreasing dependence on petroleum-based energy, reducing greenhouse gas emissions, expanding renewable fuel industries and creating job opportunities. However, biofeedstock needs to be competitive on availability, performance, and price to produce, market, and produce fuels. We hypothesize that domestically produced feedstocks from sweet sorghum, using proactive recycling of nutrient-rich biosolids on vast areas of degraded and marginal lands, could be a win-win energy independence strategy in Ukraine. Our goal is to create for generating a steady-state source of biofeedstock and disseminate science-based knowledge and training to the clientele. Specific objectives are to: (1) establish research studies to evaluate growth and feedstock productivity, nutrient removal, and feedstock characteristics of sweet sorghum fertilized with biosolids on degraded and marginal lands in Rivne, Kherson, Dnipro, and Kyiv regions of Ukraine; and (2) determine the impact of biosolids and sweet sorghum on soil quality. Data collected on growth, feedstock production, feedstock characteristics, fuel potential, and high-value co-products (biochar) of sweet sorghum and soil quality will be evaluated by multivariate statistics. Input, output, and outreach data will be subject to techno-economic analyses to evaluate the economically viability, environmentally compatibility, and social acceptability of the project. Traditional and electronic outlet activities will be utilized to disseminate outcomes and outputs and to evaluate project impacts.

Automated Agricultural Robot and Sensor Data Collection and Analysis through a Biomass Feedstock Production Information System

The increasing environmental pollution resulting from the use of non-renewable fossil fuels as well as the development of economic dependencies among countries because of the lack of such types of fuels underline the intense need for the use of sustainable forms of energy. Biomass derived biofuels provide such an alternative. The main tasks of biomass feedstock production are planting and cultivation, harvest, storage, and transportation. A number of complex decisions characterize each of these tasks. These decisions are related to the monitoring of crop health, the improvement of crop productivity using innovative technologies, and the examination of limitations in existing processes and technologies associated with biomass feedstock production. Other critical issues are the development of sustainable methods for the delivery of the biomass while maintaining product quality. There is the need for the development of an automated integrated research tool based on resilience and sustainability which will allow the coordination of different research fields but also perform research on its own. The specific tool should aim in the optimization of different parameters which specify the research done and in the case of biomass feedstock production; such parameters are the transportation of biomass from the field to the biorefinery, the equipment used, and the biomass storage conditions. This optimization would enhance decision making in the field of bioenergy production. Based on the need for such an automated integrated research tool, this paper presents an information system that provides automated functionalities for better decision making in the bioenergy production field based on the collection and analysis of agricultural robot and sensor data.

Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions

Machine Learning (ML) is one of the major driving forces behind the fourth industrial revolution. This study reviews the ML applications in the life cycle stages of biofuels, i.e., soil, feedstock, production, consumption, and emissions. ML applications in the soil stage were mostly used for satellite images of land to estimate the yield of biofuels or a suitability analysis of agricultural land. The existing literature have reported on the assessment of rheological properties of the feedstocks and their effect on the quality of biofuels. The ML applications in the production stage include estimation and optimization of quality, quantity, and process conditions. The fuel consumption and emissions stage include analysis of engine performance and estimation of emissions temperature and composition. This study identifies the following trends: the most dominant ML method, the stage of life cycle getting the most usage of ML, the type of data used for the development of the ML-based models, and the frequently used input and output variables for each stage. The findings of this article would be beneficial for academia and industry-related professionals involved in model development in different stages of biofuel’s life cycle.

ASSESSMENT OF ECOLOGICAL AND ECONOMIC EFFICIENCY OF COMPOSITE FUEL PRODUCTION FROM THE PEAT AND BIOMASS

The goal of investigation was assessment of environmental impact and economic efficiency of composite briquette production on the base of peat and renewable biomass. Biomass for composite briquettes was obtained from straw (cereal crops and rape) and wood residues (sawdust, chips) Experimental composite briquette were produced from the mixture of peat and biomass in relation to – 25 : 75, 50 : 50, 75 : 25. The technological cards of biomass feedstock production for 6 variants were developed. Technological cards were used for calculation of emission into the atmosphere during life cycle of biomass production and prime cost of biomass. The lowest volume of gas (SO2, NOx, CO2) and particulate matter (PM) emission was installed for biomass production from the sawdust. The highest volume of emission was installed for production of biomass from the straw with pressing it in standard bale. The volume of CO2 emission for the sawdust production was 6 kg per ton of biomass and for the standard bale of straw was 19 kg per ton of biomass. Prime cost of sawdust production (lowest) was 11 belarusian rubles per ton of biomass, for the wood chips was 19 rubles per ton and for the straw varied from 26 to 33 rubles per ton in depend of technology. It was installed that growth of biomass rate in composite briquette had a good influence on number of basic fuel characteristics (contents of ash, sulfur and moisture). The variation of calorific value of briquette was not significant in depend of biomass contents. In accordance with assessment of all characteristics the better briquettes was obtained from the peat and sawdust.