Achieving a smooth flow of fuel deliveries by truck to an urban biomass power plant in Helsinki, Finland – an agent-based simulation approach

Aalto, Mika; Korpinen, Olli-Jussi; Loukola, Juuso; Ranta, T.

doi:10.1080/14942119.2018.1403809

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…Using this method can be justified if the focus of the study is on harvesting and other forest operations. Studies focusing on the end of the supply chain may be more abstract, such as those conducted by Aalto et al (2018) and Väätäinen et al (2005). Methods described in this paper allow simplifying feedstock availability for wider supply chain simulation studies while maintaining the realistic locations and temporal variation of the supply.…”

Section: Discussionmentioning

confidence: 99%

“…The interactions of machines and random events in the supply chain may cause delays (Asikainen 1995), leading to activities affecting subsequent one in the chain. For these reasons, simulation studies are widely employed (Eriksson et al 2014b;Väätäinen et al 2005;Mobini et al 2011;Aalto et al 2018;Windisch et al 2015;Ziesak et al 2004).…”

Section: Introductionmentioning

confidence: 99%

“…This method can be utilized for small numbers of stands, as it requires a higher amount of computational power, but for hundreds of stands annually, this method would be impractical. Aalto et al (2018) and Väätäinen et al (2005) excluded most of the supply chain and included only feedstock arriving at the plant in trucks at different arrival intervals. This is possible, as the studies focused only on the power plant yard operations.…”

Section: Introductionmentioning

confidence: 99%

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Feedstock availability and moisture content data processing for multi-year simulation of forest biomass supply in energy production

Aalto¹,

Korpinen²,

Ranta³

2019

Silva Fenn.

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Simulation and modeling have become more common in forest biomass studies. Dynamic simulation has been used to study the supply chain of forest biomass with numerous different models. A robust predictive multi-year model requires biomass availability data, where annual variation is included spatially and temporally. This can be done by using data from enterprises, but in some cases relevant data is not accessible. Another option is to use forest inventory data to estimate biomass availability, but this data must be processed in the correct form to be utilized in the model. This study developed a method for preparing forest inventory data for a multi-year simulation supply model using the theoretical availability of feedstock. Methods for estimating quality changes during roadside storage are also presented, including a possible parameter estimation to decrease the amount of data needed. The methods were tested case by case using the inventory database âBiomass Atlasâ and weather data from a weather station in Mikkeli, Finland. The data processing method for biomass allocation produced a reasonable quantity of stands and feedstock, having a realistic annual supply with variation for the demand point. The results of the study indicate that it is possible to estimate moisture content changes using weather data. The estimations decreased the accuracy of the model and, therefore, estimations should be kept minimal. The presented data preparation method can generate a supply of forest biomass for the simulation model, but the validity of the data must be ensured for correct model behavior.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Feedstock availability and moisture content data processing for multi-year simulation of forest biomass supply in energy production

Aalto¹,

Korpinen²,

Ranta³

2019

Silva Fenn.

Self Cite

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“…Truck efficiency data were obtained from [57]. Since queues of trucks may form at the delivery point of the terminal or end-user during real operation [58,59], a queuing time was added based on the triangular distribution triang (0, 5, 15) min. Transportation from the terminal to the end-user was performed by a shuttle chip-truck.…”

Section: Input Datamentioning

confidence: 99%

Simulation-Based Cost Analysis of Industrial Supply of Chips from Logging Residues and Small-Diameter Trees

Fernandez-Lacruz

Eriksson

Bergström

2019

Forests

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Research Highlights: The use of terminals can increase supply costs by 5–11% (when compared to direct supply), but terminals help secure supply during peak demand and cope with operational problems in the supply fleet in cases where direct supply chains would be unable to meet demand on time. Background and Objectives: This work analyses the supply cost of chipped logging residues and small-diameter trees, from chipping at roadside storages to delivery to the end-user. Factors considered include demand curves (based on the requirements of a theoretical combined heat and power plant or biorefinery); demand volume; and mode of supply (direct or combined via terminal). The impact of longer trucking distances from the sites, and supply integration between forest and other land (varying relocation distances) was also assessed. Materials and Methods: The operational environment and work of a theoretical chip supplier in northern Sweden were modelled and simulated in ExtendSim®. Results: The mean supply cost of chips was 9% higher on average for combined chains than for direct chains. Given a high demand, 8% of the annual demand could not be delivered on time without using a terminal. High supply integration of forest and other land reduced supply costs by 2%. Contractors’ annual workloads were evened out by direct supply to the biorefinery (which has a relatively steady demand) or supply via-terminal independently of the end-user. Keeping distinct chips from different sites (implying that trucks were not always fully loaded) instead of mixing chips from different sites until the trucks were fully loaded increased supply costs by 12%. Conclusions: Terminals increase supply costs, but can enable demand to be met on time when direct supply chains alone might fail. Integrated supply planning could reduce supply costs by increasing the utilization of residual biomass from other land.

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Compilation of liquefaction and pyrolysis method used for bio-oil production from various biomass: A review

Ahmad

Ali

Isa

2019

Environmental Engineering Research

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Biomass exists in two forms, woody and non woody. The woody biomass originates from plants while non-woody form originates from excess waste of animals, industry and crops. Biomass feedstock can be used in the form of liquid fuels, heat, electric power, and bio-based products. Fig. 1 shows most common biomass feedstock [2]. ABSTRACTIn this paper the authors provide comparative evaluation of current research that used liquefaction and pyrolysis method for bio-oil production from various types of biomass. This paper review the resources of biomass, composition of biomass, properties of bio-oil from various biomass and also the utilizations of bio-oil in industry. The primary objective of this review article is to gather all recent data about production of bio-oil by using liquefaction and pyrolysis method and their yield and properties from different types of biomass from previous research. Shortage of fossil fuels as well as environmental concern has encouraged governments to focus on renewable energy resources. Biomass is regarded as an alternative to replace fossil fuels. There are several thermo-chemical conversion processes used to transform biomass into useful products, however in this review article the focus has been made on liquefaction and pyrolysis method because the liquid obtained which is known as bio-oil is the main interest in this review article. Bio-oil contains hundreds of chemical compound mainly phenol groups which make it suitable to be used as a replacement for fossil fuels.

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Achieving a smooth flow of fuel deliveries by truck to an urban biomass power plant in Helsinki, Finland – an agent-based simulation approach

Cited by 3 publications

References 18 publications

Feedstock availability and moisture content data processing for multi-year simulation of forest biomass supply in energy production

Feedstock availability and moisture content data processing for multi-year simulation of forest biomass supply in energy production

Simulation-Based Cost Analysis of Industrial Supply of Chips from Logging Residues and Small-Diameter Trees

Compilation of liquefaction and pyrolysis method used for bio-oil production from various biomass: A review

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