Potential for Greenhouse Gas Emission Reductions by Using Biomethane as a Road Transportation Fuel

The aim of this thesis is to study whether the use of biomethane as a transportation fuel is reasonable from climate change perspective. In order to identify potentials and challenges for the reduction of greenhouse gas (GHG) emissions, this dissertation focuses on GHG emission comparisons, on feasibility studies and on the effects of various calculation methodologies. The GHG emissions calculations are carried out by using life cycle assessment (LCA) methodologies. The aim of these LCA studies is to figure out the key parameters affecting the GHG emission saving potential of biomethane production and use and to give recommendations related to methodological choices. The feasibility studies are also carried out from the life cycle perspective by dividing the biomethane production chain for various operators along the life cycle of biomethane in order to recognize economic bottlenecks. Biomethane use in the transportation sector leads to GHG emission reductions compared to fossil transportation fuels in most cases. In addition, electricity and heat production from landfill gas, biogas or biomethane leads to GHG reductions as well. Electricity production for electric vehicles is also a potential route to direct biogas or biomethane energy to transportation sector. However, various factors along the life cycle of biomethane affect the GHG reduction potentials. Furthermore, the methodological selections have significant effects on the results. From economic perspective, there are factors related to different operators along the life cycle of biomethane, which are not encouraging biomethane use in the transportation sector. To minimize the greenhouse gas emissions from the life cycle of biomethane, waste feedstock should be preferred. In addition, energy consumption, methane leakages, digestate utilization and the current use of feedstock or biogas are also key factors. To increase the use of biomethane in the transportation sector, political steering is needed to improve the feasibility for the operators. From methodological perspective, it is important to recognize the aim of the life cycle assessment study. The life cycle assessment studies can be divided into two categories: 1.) To produce average GHG information of biomethane to evaluate the acceptability of biomethane use compared to fossil transportation fuels. 2.) To produce GHG information of biomethane related to actual decision-making situations. This helps to figure out the actual GHG emission changes in cases when feedstock, biogas or biomethane are already in other use. For example directing biogas from electricity production to transportation use does not necessarily lead to additional GHG emission reductions. The use of biomethane seems to have a lot of potential for the reduction of greenhouse gas emissions as a transportation fuel. However, there are various aspects related to production processes, to the current use of feedstock or biogas and to the feasibility that have to be taken into account.

Analysis and modelling of chemical looping combustion process with and without oxygen uncoupling

Effective control and limiting of carbon dioxide (CO₂) emissions in energy production are major challenges of science today. Current research activities include the development of new low-cost carbon capture technologies, and among the proposed concepts, chemical combustion (CLC) and chemical looping with oxygen uncoupling (CLOU) have attracted significant attention allowing intrinsic separation of pure CO₂ from a hydrocarbon fuel combustion process with a comparatively small energy penalty. Both CLC and CLOU utilize the well-established fluidized bed technology, but several technical challenges need to be overcome in order to commercialize the processes. Therefore, development of proper modelling and simulation tools is essential for the design, optimization, and scale-up of chemical looping-based combustion systems. The main objective of this work was to analyze the technological feasibility of CLC and CLOU processes at different scales using a computational modelling approach. A onedimensional fluidized bed model frame was constructed and applied for simulations of CLC and CLOU systems consisting of interconnected fluidized bed reactors. The model is based on the conservation of mass and energy, and semi-empirical correlations are used to describe the hydrodynamics, chemical reactions, and transfer of heat in the reactors. Another objective was to evaluate the viability of chemical looping-based energy production, and a flow sheet model representing a CLC-integrated steam power plant was developed. The 1D model frame was succesfully validated based on the operation of a 150 kWth laboratory-sized CLC unit fed by methane. By following certain scale-up criteria, a conceptual design for a CLC reactor system at a pre-commercial scale of 100 MWth was created, after which the validated model was used to predict the performance of the system. As a result, further understanding of the parameters affecting the operation of a large-scale CLC process was acquired, which will be useful for the practical design work in the future. The integration of the reactor system and steam turbine cycle for power production was studied resulting in a suggested plant layout including a CLC boiler system, a simple heat recovery setup, and an integrated steam cycle with a three pressure level steam turbine. Possible operational regions of a CLOU reactor system fed by bituminous coal were determined via mass, energy, and exergy balance analysis. Finally, the 1D fluidized bed model was modified suitable for CLOU, and the performance of a hypothetical 500 MWth CLOU fuel reactor was evaluated by extensive case simulations.

Comparison of Different Concentrated Solar Power Collector Designs and Development of a Linear Fresnel Solar Collector Model

Concentrated solar power (CSP) is a renewable energy technology, which could contribute to overcoming global problems related to pollution emissions and increasing energy demand. CSP utilizes solar irradiation, which is a variable source of energy. In order to utilize CSP technology in energy production and reliably operate a solar field including thermal energy storage system, dynamic simulation tools are needed in order to study the dynamics of the solar field, to optimize production and develop control systems. The object of this Master’s Thesis is to compare different concentrated solar power technologies and configure a dynamic solar field model of one selected CSP field design in the dynamic simulation program Apros, owned by VTT and Fortum. The configured model is based on German Novatec Solar’s linear Fresnel reflector design. Solar collector components including dimensions and performance calculation were developed, as well as a simple solar field control system. The preliminary simulation results of two simulation cases under clear sky conditions were good; the desired and stable superheated steam conditions were maintained in both cases, while, as expected, the amount of steam produced was reduced in the case having lower irradiation conditions. As a result of the model development process, it can be concluded, that the configured model is working successfully and that Apros is a very capable and flexible tool for configuring new solar field models and control systems and simulating solar field dynamic behaviour.

Lightweight, liquid-cooled, direct-drive generator for highpower wind turbines: motivation, concept, and performance

Thesis: A liquid-cooled, direct-drive, permanent-magnet, synchronous generator with helical, double-layer, non-overlapping windings formed from a copper conductor with a coaxial internal coolant conduit offers an excellent combination of attributes to reliably provide economic wind power for the coming generation of wind turbines with power ratings between 5 and 20MW. A generator based on the liquid-cooled architecture proposed here will be reliable and cost effective. Its smaller size and mass will reduce build, transport, and installation costs. Summary: Converting wind energy into electricity and transmitting it to an electrical power grid to supply consumers is a relatively new and rapidly developing method of electricity generation. In the most recent decade, the increase in wind energy’s share of overall energy production has been remarkable. Thousands of land-based and offshore wind turbines have been commissioned around the globe, and thousands more are being planned. The technologies have evolved rapidly and are continuing to evolve, and wind turbine sizes and power ratings are continually increasing. Many of the newer wind turbine designs feature drivetrains based on Direct-Drive, Permanent-Magnet, Synchronous Generators (DD-PMSGs). Being low-speed high-torque machines, the diameters of air-cooled DD-PMSGs become very large to generate higher levels of power. The largest direct-drive wind turbine generator in operation today, rated just below 8MW, is 12m in diameter and approximately 220 tonne. To generate higher powers, traditional DD-PMSGs would need to become extraordinarily large. A 15MW air-cooled direct-drive generator would be of colossal size and tremendous mass and no longer economically viable. One alternative to increasing diameter is instead to increase torque density. In a permanent magnet machine, this is best done by increasing the linear current density of the stator windings. However, greater linear current density results in more Joule heating, and the additional heat cannot be removed practically using a traditional air-cooling approach. Direct liquid cooling is more effective, and when applied directly to the stator windings, higher linear current densities can be sustained leading to substantial increases in torque density. The higher torque density, in turn, makes possible significant reductions in DD-PMSG size. Over the past five years, a multidisciplinary team of researchers has applied a holistic approach to explore the application of liquid cooling to permanent-magnet wind turbine generator design. The approach has considered wind energy markets and the economics of wind power, system reliability, electromagnetic behaviors and design, thermal design and performance, mechanical architecture and behaviors, and the performance modeling of installed wind turbines. This dissertation is based on seven publications that chronicle the work. The primary outcomes are the proposal of a novel generator architecture, a multidisciplinary set of analyses to predict the behaviors, and experimentation to demonstrate some of the key principles and validate the analyses. The proposed generator concept is a direct-drive, surface-magnet, synchronous generator with fractional-slot, duplex-helical, double-layer, non-overlapping windings formed from a copper conductor with a coaxial internal coolant conduit to accommodate liquid coolant flow. The novel liquid-cooling architecture is referred to as LC DD-PMSG. The first of the seven publications summarized in this dissertation discusses the technological and economic benefits and limitations of DD-PMSGs as applied to wind energy. The second publication addresses the long-term reliability of the proposed LC DD-PMSG design. Publication 3 examines the machine’s electromagnetic design, and Publication 4 introduces an optimization tool developed to quickly define basic machine parameters. The static and harmonic behaviors of the stator and rotor wheel structures are the subject of Publication 5. And finally, Publications 6 and 7 examine steady-state and transient thermal behaviors. There have been a number of ancillary concrete outcomes associated with the work including the following. X Intellectual Property (IP) for direct liquid cooling of stator windings via an embedded coaxial coolant conduit, IP for a lightweight wheel structure for lowspeed, high-torque electrical machinery, and IP for numerous other details of the LC DD-PMSG design X Analytical demonstrations of the equivalent reliability of the LC DD-PMSG; validated electromagnetic, thermal, structural, and dynamic prediction models; and an analytical demonstration of the superior partial load efficiency and annual energy output of an LC DD-PMSG design X A set of LC DD-PMSG design guidelines and an analytical tool to establish optimal geometries quickly and early on X Proposed 8 MW LC DD-PMSG concepts for both inner and outer rotor configurations Furthermore, three technologies introduced could be relevant across a broader spectrum of applications. 1) The cost optimization methodology developed as part of this work could be further improved to produce a simple tool to establish base geometries for various electromagnetic machine types. 2) The layered sheet-steel element construction technology used for the LC DD-PMSG stator and rotor wheel structures has potential for a wide range of applications. And finally, 3) the direct liquid-cooling technology could be beneficial in higher speed electromotive applications such as vehicular electric drives.

Suomessa ja Itävallassa toimivien liiketoimintamallien siirrettävyys puupohjaisen uusiutuvan energian tuotantoon Puolaan, Romaniaan ja Slovakiaan

Tutkimus kuvaa tiedon, osaamisen ja teknologian siirtoa Suomesta ja Itävallasta Puolaan, Romaniaan ja Slovakiaan hajautetussa puupohjaisessa sähkö- ja lämpöenergian tuotannossa. Metsävaroiltaan rikas ja bioenergia-asioissa toimintatavoiltaan edistynyt Suomi toimi Metsäntutkimuslaitoksen (nykyisin Luonnonvarakeskus) johdolla tutkimuksen empiirisen aineiston tuottaneen kehittäjäverkostohankkeen pääkoordinaattorina vuosina 2011-2014. Tutkimusmenetelmänä käytettiin hankkeen dokumentaation sisällönanalyysiä. Itävalta on tunnettu edistyksellisistä bioenergia-alan tuki- ja ohjausjärjestelmistä. Suomi ja Itävalta kuuluvat EU:n viiden edistyneimmän maan joukkoon uusiutuvien energialähteiden hyödyntämisessä. Tämän työn tavoitteena oli selvittää, miten Suomessa ja Itävallassa hyvin toimivia liiketoimintamalleja voidaan siirtää kohdemaihin puupohjaisen uusiutuvan energian tuotannossa hyödynnettäviksi. Työssä kuvataan tiedonsiirtäjämaiden eli Suomen ja Itävallan ydinosaaminen kiinteän biomassan energiantuotannossa politiikkatasolta käytännön liiketoiminnan tasolle. Lisäksi työssä analysoidaan poliittisen ohjauksen merkitystä alan kehittämisessä, missä käydään läpi maakohtaiset uusiutuvan energian toimintasuunnitelmat vuodelta 2010. Lopuksi arvioidaan tiedonsiirtäjä- ja tiedonhyödyntäjämaiden välisiä eroavaisuuksia kyseisellä liiketoiminta-alueella, ja onko olemassa sellaisia tekijöitä, mitkä estävät tiedonsiirtoa tai hyväksi todettujen liiketoimintamallien soveltamista kohdemaissa. Kussakin maassa metsänomistusolosuhteet ratkaisevat kiinteän biomassan tarjonnan toimivuuden eli tilanteen toimitusketjun alkupäässä. Tuotannon ohjauksen pyrkimys on myös hyödyntää mekaanisen puunjalostuksen sivutuotevirrat mahdollisimman tarkoin energiantuotannon tarpeisiin. Yleiset taloudelliset suhdanteet vaikuttavat ketjun toimivuuteen ja tehokkuuteen. Yksin energiantuotannon tarpeisiin puunkorjuuta ei kannata suunnitella, koska se harvemmin erikseen toteutettuna on kannattavaa liiketoimintaa. Puun käyttö energiantuotantoon tarvitsee hyvin suunniteltua tuki- ja ohjausjärjestelmää, joista kansalliset hallitukset vastaavat. Suomalainen tuotannon suunnittelun ja ohjauksen ajattelutapa sekä itävaltalainen energiapuun varastointi biomassan logistiikkakeskuksiin koettiin kohdemaiden yrittäjäkunnassa varteenotettavimpina liiketoiminnan kehittämisvaihtoehtoina paikallisissa toimintaympäristöissä. Lean-tuotantoajatteluun kuuluva hukan poistaminen toimitusketjusta liittyy mm. varastonhallinnan järjestelyihin ja sivutuotevirtojen hyödyntämiseen. Näitä piirteitä oli myös löydettävissä tiedonhyödyntäjämaiden yritysten toiminnassa hankkeen toteutuksen aikana.

The biological effects of high-pressure gas on the yeast transcriptome

The aim of the present study was to examine the feasibility of DNA microarray technology in an attempt to construct an evaluation system for determining gas toxicity using high-pressure conditions, as it is well known that pressure increases the concentration of a gas. As a first step, we used yeast (Saccharomyces cerevisiae) as the indicator organism and analyzed the mRNA expression profiles after exposure of yeast cells to nitrogen gas. Nitrogen gas was selected as a negative control since this gas has low toxicity. Yeast DNA microarray analysis revealed induction of genes whose products were localized to the membranes, and of genes that are involved in or contribute to energy production. Furthermore, we found that nitrogen gas significantly affected the transport system in the cells. Interestingly, nitrogen gas also resulted in induction of cold-shock responsive genes. These results suggest the possibility of applying yeast DNA microarray to gas bioassays up to 40 MPa. We therefore think that "bioassays" are ideal for use in environmental control and protection studies.

Potential for synthetic gas in Finnish industry

Finland, other Nordic countries and European Union aim to decarbonize their energy production by 2050. Decarbonization requires large scale implementation of non-emission energy sources, i.e. renewable energy and nuclear power. Stochastic renewable energy sources present a challenge to balance the supply and demand for energy. Energy storages, non-emissions fuels in mobility and industrial processes are required whenever electrification is not possible. Neo-Carbon project studies the decarbonizing the energy production and the role of synthetic gas in it. This thesis studies the industrial processes in steel production, oil refining, cement manufacturing and glass manufacturing, where natural gas is already used or fuel switch to SNG is possible. The technical potential for fuel switching is assessed, and economic potential is necessary after this. All studied processes have potential for fuel switching, but total decarbonization of steel production, oil refining requires implementation of other zero-emission technologies.

Three-dimensional modeling of biomass fuel flow in a circulating fluidized bed furnace

The reduction of greenhouse gas emissions in the European Union promotes the combustion of biomass rather than fossil fuels in energy production. Circulating fluidized bed (CFB) combustion offers a simple, flexible and efficient way to utilize untreated biomass in a large scale. CFB furnaces are modeled in order to understand their operation better and to help in the design of new furnaces. Therefore, physically accurate models are needed to describe the heavily coupled multiphase flow, reactions and heat transfer inside the furnace. This thesis presents a new model for the fuel flow inside the CFB furnace, which acknowledges the physical properties of the fuel and the multiphase flow phenomena inside the furnace. This model is applied with special interest in the firing of untreated biomass. An experimental method is utilized to characterize gas-fuel drag force relations. This characteristic drag force approach is developed into a gas-fuel drag force model suitable for irregular, non-spherical biomass particles and applied together with the new fuel flow model in the modeling of a large-scale CFB furnace. The model results are physically valid and achieve very good correspondence with the measurement results from large-scale CFB furnace firing biomass. With the methods and models presented in this work, the fuel flow field inside a circulating fluidized bed furnace can be modeled with better accuracy and more efficiently than in previous studies with a three-dimensional holistic model frame.

Cassava wastewater (manipueira) treatment using a two-phase anaerobic biodigestor

A two-phase anaerobic biodigestor was employed in order to analyze methane production with different manipueira organic loading rates. The acidogenic phase was carried out in a batch process whereas the methanogenic in an up-flow anaerobic fixed bed reactor with continuous feeding. The organic loading rates varied from 0.33 up to 8.48g of Chemical Demand Oxygen (COD)/L.day. The highest content of methane, 80.9%, was obtained with organic loading rate of 0.33g and the lowest, 56.8%, with 8.48gCOD/L.d. The highest reduction of COD, 88.89%, was obtained with organic loading rate of 2.25g and the lowest, 54.95%, with 8.48gCOD/L.d. From these data it was possible to realize that anaerobic biodigestion can be managed in at least two ways, i.e., for energy production (methane) or for organic loading reduction. The organic loading rate should be calculated as part of the purpose of the treatment to be accomplished.

A Bayesian Approach for Forecasting Heat Load in a District Heating System

The growing population in cities increases the energy demand and affects the environment by increasing carbon emissions. Information and communications technology solutions which enable energy optimization are needed to address this growing energy demand in cities and to reduce carbon emissions. District heating systems optimize the energy production by reusing waste energy with combined heat and power plants. Forecasting the heat load demand in residential buildings assists in optimizing energy production and consumption in a district heating system. However, the presence of a large number of factors such as weather forecast, district heating operational parameters and user behavioural parameters, make heat load forecasting a challenging task. This thesis proposes a probabilistic machine learning model using a Naive Bayes classifier, to forecast the hourly heat load demand for three residential buildings in the city of Skellefteå, Sweden over a period of winter and spring seasons. The district heating data collected from the sensors equipped at the residential buildings in Skellefteå, is utilized to build the Bayesian network to forecast the heat load demand for horizons of 1, 2, 3, 6 and 24 hours. The proposed model is validated by using four cases to study the influence of various parameters on the heat load forecast by carrying out trace driven analysis in Weka and GeNIe. Results show that current heat load consumption and outdoor temperature forecast are the two parameters with most influence on the heat load forecast. The proposed model achieves average accuracies of 81.23 % and 76.74 % for a forecast horizon of 1 hour in the three buildings for winter and spring seasons respectively. The model also achieves an average accuracy of 77.97 % for three buildings across both seasons for the forecast horizon of 1 hour by utilizing only 10 % of the training data. The results indicate that even a simple model like Naive Bayes classifier can forecast the heat load demand by utilizing less training data.

Optimal processing chain for waste power plant

This study is done to examine waste power plant’s optimal processing chain and it is important to consider from several points of view on why one option is better than the other. This is to insure that the right decision is made. Incineration of waste has devel-oped to be one decent option for waste disposal. There are several legislation matters and technical options to consider when starting up a waste power plant. From the tech-niques pretreatment, burner and flue gas cleaning are the biggest ones to consider. The treatment of incineration residues is important since it can be very harmful for the envi-ronment. The actual energy production from waste is not highly efficient and there are several harmful compounds emitted. Recycling of waste before incineration is not very typical and there are not many recycling options for materials that cannot be easily re-cycled to same product. Life cycle assessment is a good option for studying the envi-ronmental effect of the system. It has four phases that are part of the iterative study process. In this study the case environment is a waste power plant. The modeling of the plant is done with GaBi 6 software and the scope is from gate-to-grave. There are three different scenarios, from which the first and second are compared to each other to reach conclusions. Zero scenario is part of the study to demonstrate situation without the power plant. The power plant in this study is recycling some materials in scenario one and in scenario two even more materials and utilize the bottom ash more ways than one. The model has the substitutive processes for the materials when they are not recycled in the plant. The global warming potential results show that scenario one is the best option. The variable costs that have been considered tell the same result. The conclusion is that the waste power plant should not recycle more and utilize bottom ash in a number of ways. The area is not ready for that kind of utilization and production from recycled materials.

Akkuvarastot omakotitaloissa

Energian varastointi on noussut keskeiseksi energia-alan teemaksi viime vuosina. Erityi-sesti uusiutuvan tuotannon lisääntyminen ja energian käytön tehostaminen ovat edesautta-neet energiavarastoratkaisuiden mukaantuloa. Työssä tarkastellaan litiumrautafosfaattiak-kujen käytön kannattavuutta omakotitaloissa. Tavoitteena on selvittää, millä reunaehdoilla näiden akkujen käyttö energiavarastoina tulee kannattavaksi Lappeenrannan olosuhteissa. Kannattavuutta selvitetään litiumrautafosfaattiakkujen markkina-analyysin ja teknistalou-dellisen analyysin sekä Matlab-simulaation avulla.

Kiertoleijupetikattilateknologia ja sen matemaattinen mallinnus energiantuotantoprosessissa

Työn teoreettisessa osuudessa tehdään katsaus kiertoleijupetiteknologian eri osa-alueisiin: leijupedin virtausdynamiikkaan, hiukkaserottimeen ja kiintoaineen palautusmekanismiin. Myös teknologian historiaa ja muita käyttötarkoituksia energiantuotannon ohella käydään läpi. Termodynamiikkaa sekä lämmönsiirron ja voimalaitosprosessien teoriaa käsitellään mallinnuksessa tarvittavilta osin. Mallinnusosiossa käydään läpi kiertoleijupetihöyrykattilan matemaattisen mallin tekoprosessia. Malli perustuu yleisesti saatavilla oleviin yhtälöihin ja korrelaatioihin. Mallintaminen koostuu höyrykattilan jakamisesta lämpöpintoihin ja niiden mitoittamisesta. Mallissa esitetään myös näkemys siitä, miten lämpö siirtyy savukaasuun ja miten petimateriaalin kierto tapahtuu tulipesässä.

Suomen energiajärjestelmä

Suomen energialähteiden käyttö on pysynyt likimain samana viime vuosikymmenen aikana. Uusiutuvien energialähteiden käyttö (tuulivoima, aurinkovoima, biopolttoaineet) on lisääntynyt ja fossiilisten energialähteiden käyttö vähentynyt. Energian kokonaiskulutus ja lämmönkulutus on vuosikymmenen aikana laskenut hieman ja sähkönkulutus on lisääntynyt lisääntyvän infrastruktuurin myötä. Suomen kantaverkko ei ole vuosikymmenen aikana kokenut suuria muutoksia. Suomi kuuluu osana pohjoismaiden yhteisiä sähkömarkkinoita, joissa vallitsee vapaa kilpailu. Suomen energiajärjestelmän sähköntuotto on tällä hetkellä varsin tuontipainotteinen ja Suomi ei ole pystynyt vuosikymmenen aikana vastaamaan sähkön kysyntään, mikä tarkoittaa sähkön tuonnin lisääntymistä. Lämmöntuotanto ja -kulutus ovat pysyneet vuosikymmenen aikana likimain ennallaan. Lähitulevaisuudessa Suomen energiaomavaraisuus nousee ja Suomi voi jopa vuonna 2050 olla jo sähkön nettoviejä ja myös energiajärjestelmän aiheuttamat kokonaispäästöjä alenevat radikaalisti. Liikenne sähköistyy ja älykkäät sähköverkot tekevät tuloaan. Tässä työssä tutustutaan Suomen nykyiseen energiajärjestelmään, tehdään katsaus tulevaisuuteen ja vertaillaan Suomen energiajärjestelmää kansainvälisesti.

Torrefioidun biohiilipelletin kirjallisuustutkimus ja koeajot pilottilaitoksessa

Tämä raportti käsittelee ”Torrefioidun biohiilipelletin laatu ja varastoitavuus” hankkeen tuloksia. Hankkeen tavoitteena oli tutkia torrefioidun biohiilipelletin prosessiteknologiaa, markkinoita ja tuotantokustannuksia kirjallisuustutkimusosiossa. Hankkeen päätutkimus keskittyi koeajoihin pilottilaitoksella, jossa valmistettiin biohiilipellettiä erilaisista puuraaka-aineista. Pilottilaitos oli perustettu Torrec Oy:n toimesta Etelä-Savon Energian Pursialan voimalaitoksen yhteyteen Mikkelissä ja sen tuotanto oli käynnistynyt kesällä 2014. Kaikki koe-erät valmistettiin vain käyttämällä sidonta-aineena lauhdevettä, jota oli tiivistynyt säiliön pohjalle torrefiointiprosessin aikana. Näin ollen erillistä lisäsidonta-aineita ei tarvittu, jolloin voidaan säästää tuotantokustannuksissa jatkossakin. Euroopan Unioni on asettanut 20 % tavoitteen uusiutuvien energioiden käytölle vuoteen 2020, josta biomassalla voidaan kattaa kaksi kolmannesta. Tutkimushankkeen tavoitteena oli metsään perustuvan bioenergiatuotannon lisääminen ja tuontienergian korvaaminen kotimaisella polttoaineella. Hankkeen tarkoituksena oli tutkimusanalyysien kautta kehittää uutta kilpailukykyistä teknologiavaihtoehtoa puupolttoaineiden hyödyntämiseksi. Torrefiointiteknologiaa ollaan kaupallistamassa ympäri Eurooppaa parasta aikaa ja uusia biohiilen tuotantolaitoksia on kehitteillä ja rakenteilla. Tutkimuksen tulokset osoittavat, että biohiilipelletillä on mahdollisuudet suurimittakaavaiseen energiantuotantoon laadun suhteen, kunhan sen käyttäminen tulee edullisemmaksi laitoksissa. Toisaalta, tämä kehitys vaatii tukimekanismeja valtion puolelta, jotta pelletit lähtisivät todella liikkeelle markkinoilla.