Greenhouse gas emissions from peat and biomass-derived fuels, electricity and heat — Estimation of various production chains by using LCA methodology

More discussion is required on how and which types of biomass should be used to achieve a significant reduction in the carbon load released into the atmosphere in the short term. The energy sector is one of the largest greenhouse gas (GHG) emitters and thus its role in climate change mitigation is important. Replacing fossil fuels with biomass has been a simple way to reduce carbon emissions because the carbon bonded to biomass is considered as carbon neutral. With this in mind, this thesis has the following objectives: (1) to study the significance of the different GHG emission sources related to energy production from peat and biomass, (2) to explore opportunities to develop more climate friendly biomass energy options and (3) to discuss the importance of biogenic emissions of biomass systems. The discussion on biogenic carbon and other GHG emissions comprises four case studies of which two consider peat utilization, one forest biomass and one cultivated biomasses. Various different biomass types (peat, pine logs and forest residues, palm oil, rapeseed oil and jatropha oil) are used as examples to demonstrate the importance of biogenic carbon to life cycle GHG emissions. The biogenic carbon emissions of biomass are defined as the difference in the carbon stock between the utilization and the non-utilization scenarios of biomass. Forestry-drained peatlands were studied by using the high emission values of the peatland types in question to discuss the emission reduction potential of the peatlands. The results are presented in terms of global warming potential (GWP) values. Based on the results, the climate impact of the peat production can be reduced by selecting high-emission-level peatlands for peat production. The comparison of the two different types of forest biomass in integrated ethanol production in pulp mill shows that the type of forest biomass impacts the biogenic carbon emissions of biofuel production. The assessment of cultivated biomasses demonstrates that several selections made in the production chain significantly affect the GHG emissions of biofuels. The emissions caused by biofuel can exceed the emissions from fossil-based fuels in the short term if biomass is in part consumed in the process itself and does not end up in the final product. Including biogenic carbon and other land use carbon emissions into the carbon footprint calculations of biofuel reveals the importance of the time frame and of the efficiency of biomass carbon content utilization. As regards the climate impact of biomass energy use, the net impact on carbon stocks (in organic matter of soils and biomass), compared to the impact of the replaced energy source, is the key issue. Promoting renewable biomass regardless of biogenic GHG emissions can increase GHG emissions in the short term and also possibly in the long term.

Mitigation possibilities to Greenhouse gas emissions from power production in India

Global warming is assertively the greatest environmental challenge for humans of 21st century. It is primarily caused by the anthropogenic greenhouse gas (GHG) that trap heat in the atmosphere. Because of which, the GHG emission mitigation, globally, is a critical issue in the political agenda of all high-profile nations. India, like other developing countries, is facing this threat of climate change while dealing with the challenge of sustaining its rapid economic growth. India’s economy is closely connected to its natural resource base and climate sensitive sectors like water, agriculture and forestry. Due to Climate change the quality and distribution of India’s natural resources may transform and lead to adverse effects on livelihood of its people. Therefore, India is expected to face a major threat due to the projected climate change. This study proposes possible solutions for GHG emission mitigation that are specific to the power sector of India. The methods discussed here will take Indian power sector from present coal dominant ideology to a system, centered with renewable energy sources. The study further proposes a future scenario for 2050, based on the present Indian government policies and global energy technologies advancements.

Metsäenergian käytön kasvun liiketoimintamahdollisuudet Kaakkois-Suomessa

Kaakkois-Suomessa (Kymenlaakson ja Etelä-Karjalan maakunnat) metsäenergian käytön kasvaessa on tullut tarve tarkastella käytön kasvua eri käyttäjien näkökulmasta sekä arvioida kasvaneen käytön luomia liiketoimintamahdollisuuksia alueen toimijoille. Tutkimuksen tavoitteena on selvittää metsäenergian nykyinen käyttö ja käytön kasvumahdollisuudet alueella. Metsäenergian käytön kasvumahdollisuuksia voidaan arvioida nykyisen energian tuotantorakenteen sekä energian tarpeen perusteella. Näiden tietojen pohjalta voidaan arvioida metsäenergian riittävyyttä, käytön laajentamista ja laajentamisen yhteydessä syntyviä liiketoimintamahdollisuuksia alueen metsäenergian hankinnassa mukana oleville toimijoille ja energian tuotannon pk-yrittäjille (mm. energiayrittäjät ja -osuuskunnat). Hankkeen toteutuksen yhteydessä valmistellaan laajempaa hankekokonaisuutta uusiutuvien paikallisten energiamahdollisuuksien hyödyntämiseksi ja liiketoiminnan kehittämiseksi alueella. Tutkimusten tavoitteena on luoda hyvinvointia ja liiketoimintamahdollisuuksia alueelle. Etelä-Karjalan ja Kymenlaakson maakuntien osalta tutkimus sisälsi seuraavat osatehtävät: metsäenergian nykyisen käytön selvittäminen käyttökohteittain ja polttoainelajeittain (hakkuutähteet, kannot, pienpuu), metsäenergian potentiaalisten käyttökohteiden selvittäminen, metsäenergian kuntakohtaisen saatavuuden selvittäminen polttoainelajeittain, metsäenergian käytön suhde saatavuuteen, metsäenergian ympärille liittyvien liiketoimintamahdollisuuksien tunnistaminen ja kartoittaminen sekä tulosten raportointi. Tutkimuksen tuloksina saatiin Etelä-Karjalan ja Kymenlaakson maakuntien kuntakohtaiset taseet metsäenergian kysynnän ja tarjonnan määristä sekä alaan liittyvistä työllisyys- ja liiketoimintamahdollisuuksista. Tutkimuksen toteutuksessa on tehty tiiviisti yhteistyötä Kaakkois-Suomen metsäkeskuksen kanssa. Tutkimuksen seurantaryhmänä toimi Kaakkois-Suomen metsäenergianeuvottelukunta. Tutkimuksessa on luotu toimintamalli alueellisen ja paikallisen metsäenergian käytön ja saatavuuden tarkastelua varten. Toimintamallilla voidaan esittää paikalliset mahdollisuudet metsäenergian hyödyntämiseksi ja liiketoimintamahdollisuuksien arvioimiseksi.

Dam safety guide

A new Dam Safety Act (494/2009) came into force on 1st October 2009 and a Government Decree on Dam Safety (319/2010) on 5th May 2010. This Dam Safety Guide replaces the Dam Safety Code of Practice (Publication of the Ministry of Agriculture and Forestry 7/1997), removed from circulation on 1st October 2009. The Dam Safety Guide is not binding on the dam owner; the purpose is to complement and elucidate the relevant law and and decree through examples and descriptions. The Guide takes up questions concerning dam design, for instance hydrological dimensioning and technical safety requirements, dam construction and use, the dam break hazard analysis and the dam owner’s emergency action plan, maintenance, use, monitoring as well as the annual and periodic inspections. Dams are classified according to the hazard they pose into class 1, 2 or 3 dams. The classification is not needed, if, according to the dam safety authority, the dam poses no danger. The owner of a classified dam must prepare a monitoring programme, to be approved by decision of the dam safety authority. To establish the hazard caused by a dam, the owner of a class 1 dam must prepare an analysis of the dam hazard to humans and property as well as to the environment. The dam safety authority may also require a dam break hazard analysis for a dam other than class 1 dam if deemed necessary for classification. The owner of a class 1 dam must prepare a plan of measures in case of emergency or operational failure. The plan shall present the dam owner’s state of preparedness to act on their own initiative in the situations described above. In each case, the rescue authorities make a separate assessment for the need to prepare a plan as set out in the Rescue Act. The dam owner must provide the information specified in the Dam Safety Decree to be entered into the dam safety information system. The dam safety authority and the owner of the dam must keep up-to-date printouts in their own dam safety files from the information system for each dam as well as other important documents connected with dam safety to ensure that these are readily available in case of disturbance.

Itseohjautuvan tuotantotiimin tehokkuus metsäteollisuusorganisaatiossa

Tämän Pro Gradun tarkoituksena on analysoida metsäteollisuusorganisaation henkilöstötutkimuksen tuloksia ja tutkia itseohjautuvan tiimin tehokkuuteen vaikuttavia tekijöitä. Lisäksi tutkimus keskittyy esimiestyön merkitykseen itsensä johtamiseen kannustamisessa. Tutkimuksen päätutkimuskysymys on Millaisia ovat itseohjautuvan tiimin tehokkuuden tekijät ja miten jaetulla johtajuudella voidaan vaikuttaa niihin? Tutkimuksen teoreettinen osuus keskittyy tiimin tehokkuutta ja jaettua johtajuutta koskevaan kirjallisuuteen. Empiirinen tutkimus toteutettiin laadullisena tutkimuksena, jossa hyödynnettiin Survey -menetelmää. Tutkimusaineisto koostuu metsäteollisuusorganisaation neljän yksikön vuosien 2006-2013 henkilöstötutkimustuloksista. Aineistoa analysoitiin kuvailevan tilastotieteen keinoin. Tutkimuksen tuloksena tunnistettiin itseohjautuvan tiimin tehokkuuden tekijöitä. Tutkimustuloksista nousee esiin ennen kaikkea itseohjautuvan tiimin autonomisen toimintaympäristön ja johtamisen tärkeys sekä yksilöiden ominaisuuksien merkitys. Tutkimus tarjosi tukea kohdeorganisaation jaetun johtamisen kehittämisen suunnitteluun.

Targeted measures bring the greatest benefits for environmental protection in agriculture final report of the TEHO Plus project (2011–2014)

Targeted measures bring the greatest benefits for environmental protection in agriculture final report of the TEHO Plus project (2011–2014). Particular priority areas of the project activities included creating a training package for agri-environment advisers and testing it, farm-specific advisory services and exploitation of experiences of advice provision, putting together an information package of agri-environment issues, farm-level experiments, and development of water quality monitoring. The recommendations issued by advisers on targeting environmental measures were based on utilising geographical information material and nutrient balances. The project was implemented in cooperation by Southwest Finland Centre for Economic Development, Transport and the Environment, MTK-Satakunta and MTK-Varsinais-Suomi. The project received funding from the Ministry of Agriculture and Forestry and the Ministry of the Environment. Participating farmers, with whom environmental advice was developed and experiments were carried out, were important partners for the project. The operating area of the project was Satakunta and Varsinais-Suomi in Southwest Finland, but its outcomes can be exploited nationally. A national perspective was ensured by close cooperation with actors in different provinces. This final report describes project experiences and outcomes including environmental advisory services, training of agri-environmental advisers, farm visits and the feedback received from farmers on agri-environmental advice, development of water quality monitoring, experiments and project work.

Taxonomy and Species Richness of Amazonian Pimplinae and Rhyssinae (hymenoptera: ichneumonidae)

The Amazonian region, the biggest rain forest of our planet, is known for its extraordinary biodiversity. Most of this diversity is still unexplored and new species of different taxa are regularly found there. In this region, as in most areas of the world, insects are some of the most abundant organisms. Therefore, studying this group is important to promote the conservation of these highly biodiverse ecosystems of the planet. Among insects, parasitoid wasps are especially interesting because they have potential for use as biodiversity indicators and biological control agents in agriculture and forestry. The parasitoid wasp family Ichneumonidae is one of the most species rich groups among the kingdom Animalia. This group is still poorly known in many areas of the world; the Amazonian region is a clear example of this situation. Ichneumonids have been thought to be species poor in Amazonia and other tropical areas. However, recent studies are suggesting that parasitoid wasps may be quite abundant in Amazonia and possibly in most tropical areas of the world. The aim of my doctoral thesis is to study the species richness and taxonomy of two of the best known ichneumonid subfamilies in the Neotropical region, Pimplinae and Rhyssinae. To do this I conducted two extensive sampling programs in the Peruvian Amazonia. I examined also a large number of Neotropical ichneumonids deposited to different natural history museums. According to the results of my thesis, the species richness of these parasitoids in the Amazonian region is considerably higher than previously reported. In my research, I firstly further develop the taxonomy of these parasitoids by describing many new species and reporting several new faunistic records (I, II, III). In this first part I focus on two genera (Xanthopimpla and Epirhyssa) which were thought to be rather species poor. My thesis demonstrates that these groups are actually rather species rich in the Amazonian region. Secondly, I concentrate on the species richness of these parasitoids in a global comparison showing that the Neotropical region and especially the Peruvian Amazonia is one of the most species rich areas of Pimpliformes ichneumonids (V). Furthermore, I demonstrate that with the data available to date no clear latitudinal gradient in species richness is visible. Thirdly, increasing the macroecological knowledge of these parasitoids I show that some previously unreported ichneumonid subfamilies are present in the Amazonian region (IV). These new insights and the results of the global comparison of ichneumonid inventories suggest that the previous belief of low diversity in the tropics is most likely related to a lack of sampling effort in the region. Overall, my research increases the knowledge of Neotropical ichneumonids highlighting the importance of Peruvian Amazonia as one of the diversity hotspots of parasitoid wasps.

Wooden packaging waste reuse and refining

The aim of the thesis was both to study wooden packaging waste reuse and refining generated in the forestry machine factory environment, and to find alternative wooden packaging waste utilization options in order to create a new operating model which would decrease the overall amount of waste produced. As environmental and waste legislation has become more rigid and companies' own environmental management systems’ requirements and control have increased, companies have had to consider their environmental aspects more carefully. Companies have to take into account alternative ways of reducing waste through an increase in reuse and recycling. A part of this waste is from different forms of packaging. In the metal industry the most heavily used packaging material is wooden packaging, as such material is heavy and the packaging has to be able to bear heavy stress. In the theoretical part of the thesis, the requirements of packaging and packaging waste legislation, as well as environmental management systems governing companies’ processing of their packaging waste, are studied. The theoretical part includes a process study of systems, which direct packaging waste and wooden packaging waste refining. In addition, methods related to the continuous improvement of these processes are introduced. This thesis concentrates on designing and creating a new operating model in relation to wooden packaging waste processing. The main target was to find an efficient model in order to decrease the total amount of wooden packaging waste and to increase refining. The empirical part introduces methods for approaches to wooden packaging waste re-utilization, as well as a description of a new operating model and its impact.

Metsäkoneiden panssareiden ja pohjan luukkujen laadun kehittäminen

Tutkimuksen tarkoituksena oli selvittää, mitkä asiat tutkimuksen toimeksiantavan yrityksen, John Deere Forestry Oy:n metsäkoneiden panssareiden ja luukkujen kanssa työskentelevä henkilöstö kokee oleellisimmiksi pohjan suojien asennettavuuden, käytettävyyden, kestävyyden ja laadun kehittämisessä. Tutkimuksella haluttiin myös selvittää, mitä hyödynnettävää tietoa yrityksen sisältä jo löytyy, mitä hiljaista tietoa henkilöstöllä on ja miten tätä kaikkea voidaan hyödyntää jatkossa suunnittelun tukena. Pääasiallisina tutkimusmenetelminä käytettiin strukturoitua kyselytutkimusta, toimeksiantavan yrityksen sekä kilpailijoiden rakenneratkaisujen tarkastelua sekä lujuuslaskentaa. Kyselytutkimuksen aineisto kerättiin loppukesästä 2014. Otanta koostui 149:stä eri toimipaikkojen työntekijästä. Aineisto käsiteltiin pääasiassa kvantitatiivisesti käyttämällä ristiintaulukointia. Kyselytutkimuksen tulosten perusteella syvennyttiin tarkastelemaan pohjan suojausta myös koneteknillisellä lähestymistavalla. Tarkastelun kohteeksi valitulle panssarille tehtiin lujuuslaskentoja kyselyn vastausten varmentamiseksi ja ongelmien tarkentamiseksi, parannusehdotuksien tueksi. Aihetta tarkasteltiin asennusergonomian, työturvallisuuden ja vaurioitumismekanismien valossa. Tulosten analysoinnin yhteydessä esitettiin ratkaisuehdotuksia yleisimpiin ongelmiin laadun kehittämiseksi. Keskeisimmät ratkaisuehdotukset liittyvät panssareiden rakenteellisen stabiiliuden parantamiseen. Käytännön toimenpide-esityksinä esimerkiksi jäykisteet, tuennat, materiaalivalinnat, uudelleenmuotoilu, apuasennustyökalut, turvavarustelut ja avautumissuunnat olisivat huomion arvoisia asioita. Tutkimuksessa kerätty tieto kootaan sovellettavaksi käytäntöön laadun kehittämiseksi tekemällä toimeksiantavalle yritykselle metsäkoneiden panssareiden ja pohjan luukkujen suunnitteluohje. Tällä pyritään jatkossa parantamaan kilpailukykyä.

Feasibility of the use of recycled nutrients in fast growing pulpwood production

The application of pulp and paper mill (PPM) sludge in agriculture and forestry has been acknowledged as soil amendments and a plant nutrient source. The main objectives of this study were to evaluate the total cost of the use of recycled nutrients from PPM sludge in fast growing pulpwood production, and the financial profitability of fast growing pulpwood production with the use of these recycled nutrients. The investment and production costs of fast growing pulpwood plantation were directly acquired from a previous research, while the other data was compiled through different studies. The total cost of the use of PPM sludge was evaluated based on assumed factors. Discounted cash flow method was used to evaluate the financial profitability, using NPV and IRR as indicators. The results of estimated sludge nutrient contents were 16.2 g N, 2.9 g P, and 2.4 g K kg-1 of dry sludge. The sludge application rate was estimated at 1.36 Mg/ha in the first year. The total cost of the use of PPM sludge involved transport and spreading cost of US$49.15/dry ton. The fertilization cost applied in the financial model was designed in 3 different options and their results were as follows: option (1) was taken directly from the reference research (US$97/ha); option (2) was the use of sludge alone (US$66.75/ha); and option (3) was the use of sludge and TSP fertilizer (US$83.80/ha). The average NPV without discounting was US$248,180 while the IRRs ranged between approximately 3-4% with an average of 3.63%. Although option (2) and (3) contributed to higher IRRs compared to option (1), this increase was still not significant as the IRR was not sensitive to the total fertilization cost. The advantages are that this practice can be performed at a lower cost and the application rate can be still increased if necessary. It is better for forest plantations compared to agriculture and consequently supports reforestation program. In addition, it can be similarly applied in wood biomass production. A disadvantage is that the IRRs were not very favorable compared to the criterion of 11%. The sludge high in C:N ratio can cause nitrogen immobilization, and regulatory concerns may restrict and complicate the use of sludge landspreading and contribute to additional costs and processes.

Forest inventory information needs in Northwest Russia

This thesis applies the customer value hierarchy model to forestry in order to determine strategic options to enhance the value of LiDAR technology in Russian forestry. The study is conducted as a qualitative case study with semi-structured interviews as a main source of the primary data. The customer value hierarchy model constitutes a theoretical base for the research. Secondary data incorporates information on forest resource management, LiDAR technology and Russian forestry. The model is operationalised using forestry literature and forms a basis for analyses of primary data. Analyses of primary data coupled with comprehension of Russian forest inventory system and knowledge on global forest inventory have led to conclusions on the forest inventory methods selection criteria and the organizations that would benefit the most from LiDAR technology use. The thesis recommends strategic options for LiDAR technology’s value enhancement in Russian forestry.

Forest inventory information needs in Northwest Russia

This research report applies the customer value hierarchy model to forestry in order to determine strategic options to enhance the value of LiDAR technology in Russian forestry. The study is conducted as a qualitative case study with semi-structured interviews as a main source of the primary data. The customer value hierarchy model constitutes a theoretical base for the research. Secondary data incorporates information on forest resource management, LiDAR technology and Russian forestry. The model is operationalised using forestry literature and forms a basis for analyses of primary data. Analyses of primary data coupled with comprehension of Russian forest inventory system and knowledge on global forest inventory have led to conclusions on the forest inventory methods selection criteria and the organizations that would benefit the most from LiDAR technology use. The report recommends strategic options for LiDAR technology’s value enhancement in Russian forestry. This work has been conducted as a part of the project ‘Finnish-Russian Forest Academy 2 - Exploiting and Piloting’, which has been supported financially by the South-East Finland- Russia ENPI CBC 2007-2014 Programme.

Suitability of LiDAR technology for forest inventory in Russia

LiDAR is an advanced remote sensing technology with many applications, including forest inventory. The most common type is ALS (airborne laser scanning). The method is successfully utilized in many developed markets, where it is replacing traditional forest inventory methods. However, it is innovative for Russian market, where traditional field inventory dominates. ArboLiDAR is a forest inventory solution that engages LiDAR, color infrared imagery, GPS ground control plots and field sample plots, developed by Arbonaut Ltd. This study is an industrial market research for LiDAR technology in Russia focused on customer needs. Russian forestry market is very attractive, because of large growing stock volumes. It underwent drastic changes in 2006, but it is still in transitional stage. There are several types of forest inventory, both with public and private funding. Private forestry enterprises basically need forest inventory in two cases – while making coupe demarcation before timber harvesting and as a part of forest management planning, that is supposed to be done every ten years on the whole leased territory. The study covered 14 companies in total that include private forestry companies with timber harvesting activities, private forest inventory providers, state subordinate companies and forestry software developer. The research strategy is multiple case studies with semi-structured interviews as the main data collection technique. The study focuses on North-West Russia, as it is the most developed Russian region in forestry. The research applies the Voice of the Customer (VOC) concept to elicit customer needs of Russian forestry actors and discovers how these needs are met. It studies forest inventory methods currently applied in Russia and proposes the model of method comparison, based on Multi-criteria decision making (MCDM) approach, mainly on Analytical Hierarchy Process (AHP). Required product attributes are classified in accordance with Kano model. The answer about suitability of LiDAR technology is ambiguous, since many details should be taken into account.

Use of airborne laser scanner data in demanding forest conditions

Most of the applications of airborne laser scanner data to forestry require that the point cloud be normalized, i.e., each point represents height from the ground instead of elevation. To normalize the point cloud, a digital terrain model (DTM), which is derived from the ground returns in the point cloud, is employed. Unfortunately, extracting accurate DTMs from airborne laser scanner data is a challenging task, especially in tropical forests where the canopy is normally very thick (partially closed), leading to a situation in which only a limited number of laser pulses reach the ground. Therefore, robust algorithms for extracting accurate DTMs in low-ground-point-densitysituations are needed in order to realize the full potential of airborne laser scanner data to forestry. The objective of this thesis is to develop algorithms for processing airborne laser scanner data in order to: (1) extract DTMs in demanding forest conditions (complex terrain and low number of ground points) for applications in forestry; (2) estimate canopy base height (CBH) for forest fire behavior modeling; and (3) assess the robustness of LiDAR-based high-resolution biomass estimation models against different field plot designs. Here, the aim is to find out if field plot data gathered by professional foresters can be combined with field plot data gathered by professionally trained community foresters and used in LiDAR-based high-resolution biomass estimation modeling without affecting prediction performance. The question of interest in this case is whether or not the local forest communities can achieve the level technical proficiency required for accurate forest monitoring. The algorithms for extracting DTMs from LiDAR point clouds presented in this thesis address the challenges of extracting DTMs in low-ground-point situations and in complex terrain while the algorithm for CBH estimation addresses the challenge of variations in the distribution of points in the LiDAR point cloud caused by things like variations in tree species and season of data acquisition. These algorithms are adaptive (with respect to point cloud characteristics) and exhibit a high degree of tolerance to variations in the density and distribution of points in the LiDAR point cloud. Results of comparison with existing DTM extraction algorithms showed that DTM extraction algorithms proposed in this thesis performed better with respect to accuracy of estimating tree heights from airborne laser scanner data. On the other hand, the proposed DTM extraction algorithms, being mostly based on trend surface interpolation, can not retain small artifacts in the terrain (e.g., bumps, small hills and depressions). Therefore, the DTMs generated by these algorithms are only suitable for forestry applications where the primary objective is to estimate tree heights from normalized airborne laser scanner data. On the other hand, the algorithm for estimating CBH proposed in this thesis is based on the idea of moving voxel in which gaps (openings in the canopy) which act as fuel breaks are located and their height is estimated. Test results showed a slight improvement in CBH estimation accuracy over existing CBH estimation methods which are based on height percentiles in the airborne laser scanner data. However, being based on the idea of moving voxel, this algorithm has one main advantage over existing CBH estimation methods in the context of forest fire modeling: it has great potential in providing information about vertical fuel continuity. This information can be used to create vertical fuel continuity maps which can provide more realistic information on the risk of crown fires compared to CBH.