Network Structures and Modularity among Biofuel Heating System Manufacturers

The aim of this thesis was to study network structures and modularity among biofuel heating system manufacturers in the Finnish bioenergy sector by utilizing the perspectives of numerous Finnish bioenergy specialists. The study is qualitative due to the fact that the research material was gathered with semi-structured theme interviews during May and June 2010. The research methodology used in the thesis combines conceptual and action-oriented approach. Networks, value nets, and modularity were studied from different perspectives. Three network and platform strategies were discovered and a general network structure was formed. Moreover, benefits and disadvantages of networks and modularity among biofuel heating system manufacturers were illustrated. The analysis provides a comprehensive perception of the industry. The results of the research were constructed by implementing existing theories into practice. Also future recommendations for the biofuel heating system manufacturers were given. The results can be considered to be beneficial because the number of previous studies about the subject is relatively small. The reliability of the study is eminent because the number of the interviews was inclusive.

Automated, adaptive methods for forest inventory

Forest inventories are used to estimate forest characteristics and the condition of forest for many different applications: operational tree logging for forest industry, forest health state estimation, carbon balance estimation, land-cover and land use analysis in order to avoid forest degradation etc. Recent inventory methods are strongly based on remote sensing data combined with field sample measurements, which are used to define estimates covering the whole area of interest. Remote sensing data from satellites, aerial photographs or aerial laser scannings are used, depending on the scale of inventory. To be applicable in operational use, forest inventory methods need to be easily adjusted to local conditions of the study area at hand. All the data handling and parameter tuning should be objective and automated as much as possible. The methods also need to be robust when applied to different forest types. Since there generally are no extensive direct physical models connecting the remote sensing data from different sources to the forest parameters that are estimated, mathematical estimation models are of "black-box" type, connecting the independent auxiliary data to dependent response data with linear or nonlinear arbitrary models. To avoid redundant complexity and over-fitting of the model, which is based on up to hundreds of possibly collinear variables extracted from the auxiliary data, variable selection is needed. To connect the auxiliary data to the inventory parameters that are estimated, field work must be performed. In larger study areas with dense forests, field work is expensive, and should therefore be minimized. To get cost-efficient inventories, field work could partly be replaced with information from formerly measured sites, databases. The work in this thesis is devoted to the development of automated, adaptive computation methods for aerial forest inventory. The mathematical model parameter definition steps are automated, and the cost-efficiency is improved by setting up a procedure that utilizes databases in the estimation of new area characteristics.

Biopolttoaineiden saatavuus ja hankintalogistiikka Kaakkois-Suomessa

"Biopolttoaineiden saatavuus ja hankintalogistiikka Kaakkois-Suomessa" -hankkeen tavoitteena oli tuottaa ajantasaista ja paikkaan sidottua tietoa energiatuotantoon soveltuvan biomassan saatavuudesta ja biomassapotentiaalin tehokkaan käytön mahdollistavasta logistiikkajärjestelmästä Kaakkois-Suomen alueella. Tarkastelussa mukana olleet polttoaineet eli metsä- ja peltobiomassat sekä turve ovat ns. paikallisia polttoaineita, joiden hankinta tapahtuu maaseudulta, ensisijaisesti mahdollisimman läheltä kutakin käyttöpaikkaa. Hankkeessa tutkittiin mahdollisuuksia lisätä paikallista polttoaineenhankintaa, kuljetusmääriä ja -kalustoa järkevästi 2010-luvulla toteutettavan energiapolitiikan myötä kasvavan polttoainetarpeen puitteissa. Rautatie- ja vesitiekuljetusten hyödyntämistä logistiikassa tutkittiin kahden tapaustutkimuksen avulla. Tutkittavia asioita olivat myös tuotantoketjujen lisääntyvä työvoimatarve sekä maantieteellisesti laajenevan raaka-ainehankinnan kasvihuonekaasupäästöistä aiheutuvat ympäristövaikutukset. Tärkeimpinä tuloksina saatiin tietoa siitä, kuinka laajalle alueelle biopolttoaineiden hankinta eri asiantilojen vallitessa Kaakkois-Suomen alueella ulottuu, ja millaisia hankintalogistiikkaan liittyviä ratkaisuja voidaan ottaa käyttöön alueellisen polttoainepulan muodostuessa. Logistiikan kannalta Kaakkois-Suomen etuja ovat monipuoliset kuljetusverkostot, mutta toisaalta varsinkin hyvät yhteydet ulkomaille rajoittavat paikallisesti investointiaktiivisuutta bioenergian tuotanto- ja käsittelykaluston osalta. Lisäksi maaseudun yrittäjien keskuudessa epävarmuutta aiheuttavat heilahtelevat raakapuumarkkinat ja muuttuva energiatukipolitiikka.