Biomass Transportation Research Articles

The management costs of alternative forest management strategies in the Lake Tahoe Basin

Wildfires play an important ecological role in fire-adapted landscapes throughout California. However, there is a growing awareness that large wildfires in increasingly populated areas incur costs that may not be acceptable to society. Various forest management strategies have been proposed that seek to reduce the prevalence and severity of wildfires in areas where these costs are high. In this study we estimate the financial costs of various hypothetical forest management scenarios in the Lake Tahoe West landscape of Northern California. The objective of the study was to quantify trade-offs and cost constraints that would affect the feasibility of each scenario. The scenarios ranged from minimal forest management to several options for more intensive fuels management that relied to varying degrees on thinning and prescribed burning. We assessed stand-level costs associated with thinning, prescribed burn management, and timber and biomass transport, as well as revenues from timber and energy chips sold. Using modeled fire occurrence and severity metrics, we also used historical wildfire data to estimate plausible fire suppression costs. Our findings suggest that increased forest management, through the use of either hand/mechanical treatments or prescribed fire, can reduce fire suppression costs relative to recent practices by more than US$400,000 per year. These more intensive management scenarios differ in their cost-effectiveness. Scenarios that increase the use of prescribed fire appear to be the more cost-effective management interventions available with annual costs roughly half as much as a scenario focused on increased hand and mechanical thinning. The results are useful for understanding the financial implications of modifying forest management practices designed to lower the private and social costs of wildfire in the region.

Runoff and drainage trade‐offs from cover crops exposed to freeze–thaw events

AbstractWinter cover crops are widely promoted for multiple ecosystem services although nutrient leaching from the plant biomass and subsequent transport of those nutrients is possible after freeze–thaw events. The objective of this study was to determine the effect of freeze–thaw conditions on both runoff and drainage or leachate water quality from two common cover crops. Rainfall simulations were performed on packed columns (20 cm diam.; 56 cm length) that included triplicate combinations of cereal rye (Secale cereale L.), forage radish (Raphanus sativus L. var. longipinnatus), and bare soil and a heavy, light, and no freezing treatment. The two cover crops reduced runoff total suspended solids concentrations and nitrate leaching compared with a bare soil control, confirming many cover cropping benefits. The heavy freezing conditions (including two nights of <–15 °C) resulted in significantly higher total phosphorus and nitrate concentrations in both runoff and leachate from the cereal rye, which had been killed, compared with unfrozen cereal rye. Some of the conditions tested in this lab‐scale study could be considered extreme (e.g., 10.1 cm h−1 rainfall × 2 h, −15.7 °C) but these results nonetheless help demonstrate the importance of effective conservation practices for both surface and subsurface flows as well as for multiple water quality parameters in the face of increasing weather variability.

Supply chain design and integration for the Co-Processing of bio-oil and vacuum gas oil in a refinery

Co-processing of bio-oil and vacuum gas oil (VGO) helps to add renewable carbon to co-processing products and decrease the production cost of bio-fuels by using refinery existing infrastructures. Designing an effective supply chain for the co-processing system of bio-oil and VGO is very important for the further reduction of the production cost. However, it still remains unclear about how to integrate and coordinate the biomass supply and the crude oil supply. In this work, a mathematical model was proposed for the design and integration of the supply chain for the co-processing system to obtain the optimal supply chain network between the biomass supply and the crude oil supply. The obtained optimal supply chain network involved collections, storages and transportations of the biomass and the crude oil. The case study suggested that each storage site should be located within the relevant village to reduce the transportation cost; that the optimal transportation mode between the collection site and the storage site was electric truck while the optimal one between the storage site and co-processing site was heavy truck; that the crude oil cost contributed more than 99% for the total annualized cost; and that the biomass transportation cost was close to the biomass cost. Sensitivity analysis was also conducted to evaluate the effects of parameters on the total cost.

Valorization of forest waste biomass by catalyzed pyrolysis

Harvesting of forest residual biomass contributes to regulating wildfires during hot and dry seasons. The collected biomass can be converted into liquid biofuel by pyrolysis. Simple pyrolysis procedures such as slow pyrolysis will allow to dimension and design of mobile pyrolysis units to avoid biomass transportation fees and guarantee efficient management of forest residues. Portuguese forest wastes, particularly biomass from maritime pinus and eucalyptus globulus, were characterized by thermogravimetry and pyrolyzed in a fixed bed reactor, at 698 K, using commercial alkali carbonates and zeolites, bauxite ores, and marble dust as catalysts. Pyrolysis data for mixed biomasses showed the existence of synergy effects. The catalytic pyrolysis experiments led to improved bio-oil quality for all the tested catalysts. The bio-oil produced from pyrolysis with sodium carbonate was the most volatile, since the maximum peak of the volatilization rate is at 390 K, while the bio-oils produced by the remaining catalysts have maximum volatilization at 410 K. Marble dust, a waste from ornamental stones industry, revealed excellent catalytic properties during biomass pyrolysis, allowing an improved bio-oil yield with a decrease in the oxygen-containing functional groups.

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.

Technical and economic analysis of Stone pine (Pinus pinea L.) maintenance in urban areas

The Italian Stone pine (Pinus pinea L.) is one of the most common ornamental trees in towns with Mediterranean climates. For example, in the city of Rome (Italy), Pinus is the most common genus, with more than 51,000 trees. This study investigates technical and economic features of maintenance operations of Stone pines and evaluates the productivity and costs of the observed work sites. Pruning and felling are the most frequent management operations of trees in towns and this study analyzes the features of these operations carried out in 17 work sites. The operations were carried out either with aerial platforms (20 trees) or ascending the crown by tree-climbing (8 trees). The operations were sampled with time studies (12 trees for pruning and 16 for felling). Work time was measured from the beginning of operations to the transport of the residual biomass to the collection and loading point, using centesimal stopwatches and video recording. The total residual biomass was weighed or assessed. Total observation time amounted to 84.1 h. Cost calculation for each site considered the fixed and the variable costs and the costs for the labor force. Multiple Linear Regression models which utilize regressors easily evaluable before the work, were adopted to predict the gross time of the operations and the cost per tree. This paper can contribute to optimize tree maintenance methods in urban sites and to assess the potential residual wood biomass attainable from urban forestry maintenance in the city of Rome.

Mesoscale eddies in the Black Sea: Characteristics and kinematic properties in a high-resolution ocean model

Mesoscale eddies are ubiquitous features of oceanic circulation and important contributors to the transport of water and heat as well as chemical and biological constituents. In the Black Sea, mesoscale eddies, filaments and meanders are recognized as main agents facilitating the transport and distribution of nutrients and biomass between coastal regions and the open, deep sea. In this study, a high-resolution ocean model, Nucleus for a European Model of the Ocean (NEMO), is implemented for the Black Sea and used to create a hindcast simulation of circulation dynamics for the 1985–2014 period. This hindcast simulation is validated and then used to produce a detailed statistical investigation of the occurrence and behavior of mesoscale eddies in the Black Sea. For this purpose, an eddy identification and tracking algorithm (EddyScan) is applied and the kinematic properties of all eddies are detected, including eddy number, size, lifetime, excursion distance and their spatial distribution. The analysis shows that, on average, anticyclonic eddies are larger in diameter, have a longer lifetime and travel farther distances from the generation site than cyclonic eddies. However, the number of anticyclonic eddies generated is less than cyclones. Spatial distribution of eddies shows that cyclonic and anticyclonic eddies occupy much of the open Black Sea but few are found on the northwestern shelf. The density of anticyclonic eddies is especially high in the Sevastapol, Sinop, Kizilirmak and Batumi regions; while cyclonic eddy densities are high in the northern Black Sea along the Rim Current, north of the Batumi region, as well as in the center of the western and eastern Black Sea gyres. The number of eddies generated increases in spring and summer and decreases again in fall and winter due to changes in wind stress curl and its impact on Rim Current strength. The temporal evolution of long-lived eddies (>30 days) shows that after their creation, the diameters of cyclonic eddies increase for a period of 2–3 months, after which they reach a stable diameter. On the other hand, anticyclonic eddy diameters increase, on average, for a 5–6-month period and then reach a stable value. The vertical effects of these long-lived eddies generated in the Black Sea generally reach down to 150-200 m and hence intersect with the nitrate maximum and oxygen minimum zone. A first estimation shows that the simulated anticyclonic eddies in the Black Sea may have transported up to four times more water than cyclonic eddies over one year. The mean vertical flux induced by all cyclones generated in one year upwell ~ 0.63 Sv of water, while all anticyclones generated in one year downwell two times as much water or ~ 1.27 Sv over the top 100 m of the water column. This highlights the importance of eddies for the vertical transport of water and associated biochemical properties. In addition, eddies are able to connect different regions of the Black Sea as well as offshore/onshore regions along their paths and are of great importance for nutrient distribution and availability in the Black Sea.

Densifying lignocellulosic biomass with sulfuric acid provides a durable feedstock with high digestibility and high fermentability for cellulosic ethanol production

Agricultural residues (e.g. corn stover (CS)) representing a huge lignocellulosic biomass waste are regarded as a promising renewable resource that can be converted to fuels and chemicals via biochemical route. Nevertheless, the unfavorable properties, such as low bulk density, contamination by microorganisms, fluffy and thereby difficult to handle, cause huge problems for biomass logistics and biomass conversion. Furthermore, traditional biomass pretreatment methods often use severe conditions, consume much energy, difficult to scale up and generate a feedstock with many toxic degradation products that inhibit fermentation. In this study, we developed a novel, low-cost and easy-to-implement pretreatment method: “Densifying Lignocellulosic biomass with acidic Chemicals (DLC)” on CS. The DLC-CS owning a uniform shape showed a bulk density 4 times higher compared to loose CS and was highly resistant to microbial contamination, which greatly facilitates biomass handling, transportation and storage. DLC-CS after regular steam autoclave treatment at 121 ○C exhibited high enzymatic digestibility and much higher fermentability compared to traditional dilute acid pretreatment. An ethanol titer as high as 68.1 g/L was achieved without washing or detoxification of the pretreated biomass. The superior performances of DLC for biomass logistics and biomass conversion render it very promising for industrial use.

Bi-objective optimization of forest-based biomass supply chains for minimization of costs and deviations from safety stock

• Developed a bi-objective optimization model for forest-based biomass supply chain. • Incorporated practical considerations related to biomass safety stock in the optimization model. • Minimized the total cost and the deviations from the desired safety stock and derived their tradeoffs. • Applied the bi-objective model to a real case of producing syngas at a pulp mill. • Cost savings could be achieved by allowing deviations from the desired safety stock. Bioenergy from forest-based biomass could reduce fossil fuel dependency, GHG emissions, and generated wastes. However, the inherent complexity, uncertainty, and high cost of forest-based biomass supply chains could hinder the economic viability of bioenergy projects. The supply chain activities including transportation, storage, handling, and preprocessing of biomass are interdependent and require proper planning. Therefore, in previous studies, mathematical programming models were developed to plan and optimize the biomass supply chain activities. In this paper, a bi-objective optimization model is developed for tactical planning of the forest-based biomass supply chains in order to determine the trade-offs between the total costs and the possible deviations from the safety stock. The first objective is to minimize the upstream supply chain costs, and the second objective is to minimize the negative deviations of monthly inventory from the safety stock. The decision variables include the optimal monthly biomass flows, preprocessing, and inventory levels. The model is applied to the case of a biomass gasification at a Kraft pulp mill in British Columbia, Canada. The output of the model is a set of Pareto optimal solutions, which shows the trade-offs between the objectives of cost and safety stock deviation. This approach has the potential to assist the decision makers by providing a set of solutions to opt from based on their preferences and their attitude towards supply disruption risk. The results indicate a maximum of 18% cost savings is possible if the inventory level deviates from the safety stock. A sensitivity analysis is also performed to assess the impact of variations in the biomass availability and cost, and feedstock demand on the Pareto optimal solutions. According to the sensitivity results, feedstock demand is the most sensitive parameter.

Biomass Production Potential in a River under Climate Change Scenarios.

Excessive production of biomass, in times of intensification of agriculture and climate change, is again becoming one of the biggest environmental issues. Identification of sources and effects of this phenomenon in a river catchment in the space–time continuum has been supported by advanced environmental modules combined on a digital platform (Macromodel DNS/SWAT). This tool enabled the simulation of nutrient loads and chlorophyll “a” for the Nielba River catchment (central-western Poland) for the biomass production potential (defined here as a TN:TP ratio) analysis. Major differences have been observed between sections of the Nielba River with low biomass production in the upper part, controlled by TN:TP ratios over 65, and high chlorophyll “a” concentrations in the lower part, affected by biomass transport for the flow-through lakes. Under the long and short-term RCP4.5 and RCP8.5 climate change scenarios, this pattern will be emphasized. The obtained results showed that unfavorable biomass production potential will be maintained in the upper riverine sections due to a further increase in phosphorus loads induced by precipitation growth. Precipitation alone will increase biomass production, while precipitation combined with temperature can even enhance this production in the existing hot spots.

Integrating palm oil biomass waste utilization in coal-fired power plants for meeting near-term emission targets

Biomass co-firing with coal can be adopted in the electricity sector to promote greenhouse gas reduction, renewable energy production, and resource efficiency improvement toward environmental sustainability. This realization, however, requires effective management of supply chain issues, such as the collection of biomass feedstock, the transportation of biomass, and the localization of biomass processing plants to deliver the co-firing scales needed. This work addresses these issues by providing a techno-economic assessment conducted in a spatially-explicit manner to investigate the opportunity for scaling up the co-firing deployment at the national scale. The modeling approach is applied to the case of Malaysia's coal and palm oil biomass industries. The number of cases involving the impact of energy decarbonization targets, economic policy instrument, and supply chain cost parameter variations on the co-firing scales deployed are assessed. The findings show that densified biomass feedstock can substitute significant shares of coal capacities to deliver up to 29 MtCO2/year of carbon dioxide reduction. Nevertheless, this would cause a surge in the electricity system cost by up to 2 billion USD/year due to the substitution of up to 40% of the coal plant capacities. In facilitating the maximal deployment of co-firing at the national scale, more than 100 solid biofuel production plants would need to be built to support a maximum of 41 TWh/year of co-firing capacity. Actions to minimize the specific cost elements of the biomass co-firing supply chain are thus needed in the near term to increase the effectiveness of economic policy instrument to promote co-firing and reduce environmental emissions.

Optimization of biomass collection, transportation and storage processes empowered by blockchain technology

As an important renewable alternative energy source, one of the most critical aspects that can be used reasonably is the improvement of the biomass energy supply chain. In view of the uncontrollable transportation process in the biomass energy supply chain, Blockchain technology(BT) is introduced to optimize the biomass energy collection, transportation, and storage processes. On this basis, the game model is applied to analyze the impact of BT on the members of the biomass supply chain and the overall profit of the supply chain. Research shows that the application of BT is beneficial to increase the profits of biomass energy supply chain members within the threshold range, and for the overall benefit of the supply chain, the overall benefit of the supply chain under centralized decision-making is the highest.

Optimal Location for Renewable Gas Production and Distribution Facilities: Resource Planning and Management

Renewable energy contributes to the energy portfolios of many countries. One form of renewable energy is syngas which is generated from bio-residues. The focus of this paper is the biomass transportation and conversion network that covers the entire syngas (synthesis gas) production process from different biomass feedstocks to the end products. Specifically, we focus on the resource planning and management problem (a) to allocate different feedstocks to anaerobic digesters (reactors), (b) to determine number and locations of reactors in each region, (c) to determine number and locations of the condensers to liquefy syngas, and finally (d) to determine distribution network of syngas to demand points. We developed a mixed-integer, non-linear programming (MINLP) cost model to describe this resource planning wherein the constrained cost is minimized to find the optimal solutions for reactors and condensers locations. We identify optimal allocation of feedstocks to all reactors and the distribution of liquefied gas to distribution centers. We propose a new algorithm to search for an alternative between two sub-problems of the original MINLP. We verify the convergence of the algorithm to an optimal or sub-optimal solution by conducting various sets of numerical experiments using some real-world parameters.

Optimal Biomass Transportation Model

The transportation represents a key proportion of the operational cost for the biomass industries worldwide. As biomasses are mainly carried by trucks for parts of the transportation, the focus of this paper is on the transport of treated and untreated biomass (rice husk, empty fruit bunch, and woody biomass) by large, medium and small trucks. The objectives were to formulate biomass transportation model for transporting treated and untreated biomass resources and to obtain optimal result for selecting the best transportation mode. By screening of biomass types, locations for treated and untreated biomass resources and screening of suitable transportation mode used, the important model parameters were obtained and linear programming for minimizing overall transportation costs was formulated. General Algebraic Modelling System (GAMS) software was used to solve the optimization formulations. From the optimization result obtained by using GAMS, large truck was selected to be the best transportation mode for treated, untreated and hybrid biomass since it showed minimal overall transportation cost.

Life Cycle Perspectives of Using Non-Pelleted vs. Pelleted Corn Stover in a Cellulosic Biorefinery

Cellulosic biorefineries have attracted interest due to the growing energy security and environmental concerns related to fossil fuel-based energy and chemicals. Using pelleted biomass as a biorefinery feedstock can reduce their processing inputs while improving biomass handling and transportation. However, it is still questionable whether energy and emission savings from feedstock transportation and processing can justify pelletization. A life cycle assessment approach was used to compare energy consumption and greenhouse gas (GHG) emissions from pelleted and non-pelleted corn stover as a biorefinery feedstock. Operations considered were pelleting, transportation, and soaking in aqueous ammonia (SAA) pretreatment. Despite greater GHG emissions (up to 25 times higher than the transportation) generated from the pelleting process, the model showed a significant opportunity to offset and even reduce overall GHG emissions considering the pretreatment process benefits. Our process energy analysis showed that SAA pretreatment of pelleted biomass required significantly lower energy inputs (56%) due to the lower-severity pretreatment’s effectiveness. Higher pretreatment solid loadings are allowed when pelleted biomass is used and this reduces the process chemicals and water requirements by 56% and 49%, respectively. This study demonstrated that the SAA pretreatment of pelleted biomass might be a feasible option as the cellulosic biorefinery feedstock.

The Future Role of Forest-Based Biofuels: Industrial Impacts in the Nordic Countries

This study applies a partial equilibrium forest sector model to analyse the impacts of biofuel deployment for road transport in the Nordic countries, when alternative use of the biomass resources and transport sector electrification are considered. We foresee a strong electrification of the transport sector, resulting in a demand for biofuels of approximately 2.5 billion L in 2035 and 1 billion L in 2050 in a 100% fossil-free base scenario. The simultaneous increase in demand from pulping industries and biofuel will cause an overall increase in wood use, of which the biofuels share will constitute approximately 20–25%. The utilization of harvest residues will increase more than 300% compared to the current level, since biofuel production will reallocate some of the current raw material used in district heating. Biofuel consumption in road transport will likely reduce after 2040 due to increasing electrification, but it is plausible that the declining domestic demand will be replaced by increasing demand from international biofuel markets in aviation and shipping. The main uncertainties in the scenarios are the future costs and profitability of forest-based biofuel technologies and the public acceptance of the close to 100 TWh of new renewable electricity production needed for the electrification of Nordic road transport.

Analysis of Grain Yield Formation Components of Extra Heavy-Panicle-Type Mid-Season Indica Hybrid Rice

Rice is the most important food crop species of the developing world, and there are increasing concerns about food security to increase rice yields significantly. A 2-year field experiment was conducted in Chongqing, China, to evaluate differences in the characteristics of yield-related biomass accumulation and transport for extraheavy-panicle-type rice (ET), heavy-panicle-type rice (HT), and medium-panicle-type rice (MT) by measuring the biomass yield increase of different organs and total increase per stem of these rice types at all growth stages after booting. On the basis of the characteristics of yield-related biomass accumulation and transport, ET showed significantly higher biomass yield and harvest index than HT and MT did. There were significant positive correlations between biomass yield, harvest index and panicle weight of the analyzed rice cultivars. The higher biomass yield of ET was attributed to leaf area duration (LAD) and specific leaf weight duration (SLWD), which were significantly higher than those of HT and MT, and to leaf drooping angle duration (LDAD), which was significantly lower than that of HT and MT after the milking stage (MS). LDAD was more effective than LAD or SLWD for characterizing biomass yield. The relatively high harvest index of ET was due to the output amount (OA), output rate (OR) and transformation rate (TR) of photosynthate in the stems after the MS, and these values were significantly higher than those for HT and MT. TR was more effective than OA or OR of the stems for characterizing the harvest index. Thus, we believe that the LDAD of functional leaves and TR of photosynthate in the stems after the MS can be considered key indices for breeding ET cultivars in the future.

Synergising biomass growth kinetics and transport mechanisms to simulate light/dark cycle effects on photo-production systems.

Light attenuation is a primary challenge limiting the upscaling of photobioreactors for sustainable bio-production. One key to this challenge, is to model and optimise the light/dark cycles so that cells within the dark region can be frequently transferred to the light region for photosynthesis. Therefore, this study proposes the first mechanistic model to integrate the light/dark cycle effects into biomass growth kinetics. This model was initially constructed through theoretical derivation based on the intracellular reaction kinetics, and was subsequently modified by embedding a new parameter, effective light coefficient, to account for the effects of culture mixing. To generate in silico process data, a new multiscale reactive transport modelling strategy was developed to couple fluid dynamics with biomass growth kinetics and light transmission. By comparing against previous experimental and computational studies, the multiscale model shows to be of high accuracy. Based on its simulation result, an original correlation was proposed to link effective light coefficient with photobioreactor gas inflow rate; this has not been done before. The impact of this study is that by using the proposed mechanistic model and correlation, we can easily control and optimise photobioreactor gas inflow rates to alleviate light attenuation and maintain a high biomass growth rate.

Fast pyrolysis of raw and acid-leached sugarcane residues en route to producing chemicals and fuels: Economic and environmental assessments

In this paper, we report on the economic and environmental issues associated with a pyrolysis plant for processing sugarcane residues. The analyses consider four scenarios: (i) raw sugarcane bagasse (SCB), (ii) raw sugarcane trash (SCT) and acid-leached (iii) sugarcane bagasse (L-SCB) and (iv) sugarcane trash (L-SCT). The systems were studied by integrating a comprehensive mathematical model and experimental data. The environmental impact assessment was performed using the Life Cycle Assessment (LCA) methodology, including agriculture and sugar industry stages into the system boundaries. The results demonstrate that the process economy heavily depends on the bio-oil composition, yield, feedstock cost, and leaching conditions. Bio-oil from L-SCT and L-SCB contained more than 30 wt%. levoglucosan, which made it a candidate to produce fermentable sugars or other valuable chemicals instead of being burnt in low-efficiency boilers. The unitary cost of bio-oil produced from L-SCT (0.89 USD/L) and L-SCB (0.75 USD/L) was below that obtained for raw biomass, even when the Total Investment Costs behaved differently. The environmental impacts, expressed in damage categories, associated with L-SCB and L-SCT, were nearly 86% higher than for SCB and SCT. The highest impact could be attributed to the citric acid (CA) production chain, biomass transport, and harvesting operations.

Parameters of Trucks and Loads in the Transport of Scots Pine Wood Biomass Depending on the Season and Moisture Content of the Load

Transport of wood biomass is one of the key operations in forestry and in the wood industry. An important part is the transport of shredded wood, where the most common forms are chips and sawdust. The aim of the research was to present the variability of the total weight of trucks (gross vehicle weight, GVW), the weight of the empty trucks (tare), and loads of chips and sawdust in different periods of the year. Changes in specific parameters were analyzed: GVW; tare weight; trailer capacity; use of the trailer load capacity; bulk volume and bulk density of wood biomass loads; solid cubic meter (m3) and weight of 1m3 of the load; and load weight depending on the season, with simultaneous measurements of wood chips and sawdust moisture. More than 250 transports from four seasons of the year were analyzed in the research. It was found that the total weight of trucks (GVW) was at a comparable level, on average from 39.42 to 39.64 Mg with slight differences (with SD 0.29 and 0.39). The weight of empty trucks was 16.15 Mg for chip-bearing trucks and 15.93 Mg for sawdust-bearing trucks (with SD 0.604 and 0.526). The type of wood material has an influence on the transported volume. The average quantity of load in the bulk cubic meter was 64.783 m3 for wood chips (SD 3.127) and 70.465 m3 (SD 2.516) for sawdust. Over 30% differences in the volume of transported wood chips and approximately 18% for sawdust were observed. The use of the loading capacity of the trailer was on average 72.58% (SD 5.567) for the transport of wood chips and 77.42% (SD 3.019) for the transport of sawdust. The sawdust bulk density was from 0.3050 to 0.4265 Mg⋅m−3 for wood chips and 0.3200 to 0.3556 Mg⋅m−3 for sawdust. This parameter is significantly dependent on moisture content, and the determined correlation functions can be used for estimating and predicting bulk density. The abovementioned absolute moisture content of chips and sawdust also depends on the season, which also affects the selected parameters of wood biomass loads.