94 resultados para Bio-nutritional efficiency
Resumo:
This study investigates futures market efficiency and optimal hedge ratio estimation. First, cointegration between spot and futures prices is studied using Johansen method, with two different model specifications. If prices are found cointegrated, restrictions on cointegrating vector and adjustment coefficients are imposed, to account for unbiasedness, weak exogeneity and prediction hypothesis. Second, optimal hedge ratios are estimated using static OLS, and time-varying DVEC and CCC models. In-sample and out-of-sample results for one, two and five period ahead are reported. The futures used in thesis are RTS index, EUR/RUB exchange rate and Brent oil, traded in Futures and options on RTS.(FORTS) For in-sample period, data points were acquired from start of trading of each futures contract, RTS index from August 2005, EUR/RUB exchange rate March 2009 and Brent oil October 2008, lasting till end of May 2011. Out-of-sample period covers start of June 2011, till end of December 2011. Our results indicate that all three asset pairs, spot and futures, are cointegrated. We found RTS index futures to be unbiased predictor of spot price, mixed evidence for exchange rate, and for Brent oil futures unbiasedness was not supported. Weak exogeneity results for all pairs indicated spot price to lead in price discovery process. Prediction hypothesis, unbiasedness and weak exogeneity of futures, was rejected for all asset pairs. Variance reduction results varied between assets, in-sample in range of 40-85 percent and out-of sample in range of 40-96 percent. Differences between models were found small, except for Brent oil in which OLS clearly dominated. Out-of-sample results indicated exceptionally high variance reduction for RTS index, approximately 95 percent.
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Transportation and warehousing are large and growing sectors in the society, and their efficiency is of high importance. Transportation also has a large share of global carbondioxide emissions, which are one the leading causes of anthropogenic climate warming. Various countries have agreed to decrease their carbon emissions according to the Kyoto protocol. Transportation is the only sector where emissions have steadily increased since the 1990s, which highlights the importance of transportation efficiency. The efficiency of transportation and warehousing can be improved with the help of simulations, but models alone are not sufficient. This research concentrates on the use of simulations in decision support systems. Three main simulation approaches are used in logistics: discrete-event simulation, systems dynamics, and agent-based modeling. However, individual simulation approaches have weaknesses of their own. Hybridization (combining two or more approaches) can improve the quality of the models, as it allows using a different method to overcome the weakness of one method. It is important to choose the correct approach (or a combination of approaches) when modeling transportation and warehousing issues. If an inappropriate method is chosen (this can occur if the modeler is proficient in only one approach or the model specification is not conducted thoroughly), the simulation model will have an inaccurate structure, which in turn will lead to misleading results. This issue can further escalate, as the decision-maker may assume that the presented simulation model gives the most useful results available, even though the whole model can be based on a poorly chosen structure. In this research it is argued that simulation- based decision support systems need to take various issues into account to make a functioning decision support system. The actual simulation model can be constructed using any (or multiple) approach, it can be combined with different optimization modules, and there needs to be a proper interface between the model and the user. These issues are presented in a framework, which simulation modelers can use when creating decision support systems. In order for decision-makers to fully benefit from the simulations, the user interface needs to clearly separate the model and the user, but at the same time, the user needs to be able to run the appropriate runs in order to analyze the problems correctly. This study recommends that simulation modelers should start to transfer their tacit knowledge to explicit knowledge. This would greatly benefit the whole simulation community and improve the quality of simulation-based decision support systems as well. More studies should also be conducted by using hybrid models and integrating simulations with Graphical Information Systems.
Resumo:
The management of port-related supply chains is challenging due to the complex and heterogeneous operations of the ports with several actors and processes. That is why the importance of information sharing is emphasised in the ports. However, the information exchange between different port-related actors is often cumbersome and it still involves a lot of manual work and paper. Major ports and port-related actors usually have advanced information systems in daily use but these systems are seldom interoperable with each other, which prevents economies of scale to be reached. Smaller ports and companies might not be equipped with electronic data transmission at all. This is the final report of the Mobile port (MOPO) project, which has sought ways to improve the management and control of port-related sea and inland traffic with the aid of ICT technologies. The project has studied port community systems (PCS) used worldwide, evaluated the suitability of a PCS for the Finnish port operating environment and created a pilot solution of a Finnish PCS in the port of HaminaKotka. Further, the dry port concept and its influences on the transportation system have been explored. The Mobile Port project comprised of several literature reviews, interviews of over 50 port-related logistics and/or ICT professionals, two different kinds of simulation models as well as designing and implementing of the pilot solution of the Finnish PCS. The results of these multiple studies are summarised in this report. Furthermore, recommendations for future actions and the topics for further studies are addressed in the report. The study revealed that the information sharing in a typical Finnish port-related supply chain contains several bottlenecks that cause delays in shipments and waste resources. The study showed that many of these bottlenecks could be solved by building a port community system for the Finnish port community. Almost 30 different kinds of potential services or service entities of a Finnish PCS were found out during the study. The basic requirements, structure, interfaces and operation model of the Finnish PCS were also defined in the study. On the basis of the results of the study, a pilot solution of the Finnish PCS was implemented in the port of HaminaKotka. The pilot solution includes a Portconnect portal for the Finnish port community system (available at https://www.portconnect.fi) and two pilot applications, which are a service for handling the information flows concerning the movements of railway wagons and a service for handling the information flows between Finnish ports and Finland-Russian border. The study also showed that port community systems can be used to improve the environmental aspects of logistics in two different ways: 1) PCSs can bring direct environmental benefits and 2) PCSs can be used as an environmental tool in a port community. On the basis of the study, the development of the Finnish port community system should be continued by surveying other potential applications for the Finnish PCS. It is also important to study if there is need and resources to extend the Finnish PCS to operate in several ports or even on a national level. In the long run, it could be reasonable to clarify whether there would be possibilities to connect the Finnish PCS as a part of Baltic Sea wide, European-wide or even worldwide maritime and port-related network in order to get the best benefit from the system
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Tässä diplomityössä on tutustuttu Lahti Energia Oy:n Heinolan voimalaitoksen energiantuotantoon. Heinolan voimalaitos on vanha, mutta sen pääkattilana toimiva arinakattila on uusittu 2004. Voimalaitoksen toimintaa halutaan kehittää nykyaikaisemmaksi ja energiatehokkaammaksi. Voimalaitoksella on nykyään kolme asiakasta, joista uusin on liittynyt höyryverkkoon vuonna 2011. Työssä on tutkittu miten voimalaitoksen polttoaineiden käyttö muuttuu uuden asiakkaan myötä. Diplomityön teoriaosassa on keskitytty antamaan tietoa erilaisista polttoaineista sekä arinapolttamisesta polttotekniikkana. Työssä on laskettu voimalaitoksen asiakkaiden käyttämä energiavuositasolla, voimalaitoksen kattilahyötysuhde, prosessihyötysuhde ja niiden avulla laitoksen tarvitsema polttoaine-energia vuodessa. Laskelmat antavat hyvän yleisen kuvan voimalaitoksen käytöstä tällä hetkellä. Käyttöennusteen avulla voidaan arvioida myös laitoksen taloudellista tilaa polttoaineseoksen näkökulmasta.
Resumo:
Besides the sustaining of healthy and comfortable indoor climate, the air conditioning system should also achieve for energy efficiency. The target indoor climate can be ob-tained with different systems; this study focuses on comparing the energy efficiency of different air conditioning room unit systems in different climates. The calculations are made with dynamic energy simulation software IDA ICE by comparing the indoor cli-mate and energy consumption of an office building with different systems in different climates. The aim of the study is to compare the energy efficiency of chilled beam systems to other common systems: variable air volume, fan coil and radiant ceiling systems. Besides the annual energy consumption also the sustainability of target indoor climate is compared between the simulations. Another aim is to provide conclusions to be used in the product development of the chilled beam systems’ energy efficiency. The adaptable chilled beam system and the radiant ceiling system prove to be energy efficient independent of the climate. The challenge of reliable comparison is that other systems are not able to reach the target indoor climate as well as the others. The complex calculation environment of the simulation software, made assumptions and excluding of the financial aspects complicate comparing the big picture. The results show that the development of the chilled beam systems should concentrate on energy efficient night heating, flexible demand based ventilation and capacity control and possibilities on integrating the best practices with other systems.
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The main objective of the present study was to verify the approach on starch-gelatin blending for the paperboard coating formulations with enhanced barrier and mechanical properties. Based on that, another objective was to find out, how the approach will function with wood-based polysaccharides (CMC, EHEC and HPC) by analyzing their barrier properties and convertibility. The last objective was to find out, if pigments can be used in the composition of polysaccharide-protein blends without causing any negative effect on stated properties. The whole process chain of the barrier coating development was studied in the research. The methodology applied included pilot-scale coating and converting trials for the evaluation of mechanical properties of obtained coatings, namely their exposure to cracking with the loss of barrier properties. The results obtained indicated that the combination of starch with gelatin, in fact, improves the grease barrier properties and flexibility of starch-based coatings, thereby confirming the offered approach. The similar results were obtained for CMC, exhibited elevated barrier properties and surface coverage, proving that the approach also functions with wood-based polysaccharides. The introduction of equal amounts of talc gave various effects at different gelatin dosages on barrier properties of wood-based polysaccharides. Mainly, the elevation of grease barrier properties was observed. The convertibility of talc-filled coatings was not sufficient.
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The power demand of many mobile working machines such as mine loaders, straddle carriers and harvesters varies significantly during operation, and typically, the average power demand of a working machine is considerably lower than the demand for maximum power. Consequently, for most of the time, the diesel engine of a working machine operates at a poor efficiency far from its optimum efficiency range. However, the energy efficiency of dieseldriven working machines can be improved by electric hybridization. This way, the diesel engine can be dimensioned to operate within its optimum efficiency range, and the electric drive with its energy storages responds to changes in machine loading. A hybrid working machine can be implemented in many ways either as a parallel hybrid, a series hybrid or a combination of these two. The energy efficiency of hybrid working machines can be further enhanced by energy recovery and reuse. This doctoral thesis introduces the component models required in the simulation model of a working machine. Component efficiency maps are applied to the modelling; the efficiency maps for electrical machines are determined analytically in the whole torque–rotational speed plane based on the electricalmachine parameters. Furthermore, the thesis provides simulation models for parallel, series and parallel-series hybrid working machines. With these simulation models, the energy consumption of the working machine can be analysed. In addition, the hybridization process is introduced and described. The thesis provides a case example of the hybridization and dimensioning process of a working machine, starting from the work cycle of the machine. The selection and dimensioning of the hybrid system have a significant impact on the energy consumption of a hybrid working machine. The thesis compares the energy consumption of a working machine implemented by three different hybrid systems (parallel, series and parallel-series) and with different component dimensions. The payback time of a hybrid working machine and the energy storage lifetime are also estimated in the study.
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This study is a survey of benefits and drawbacks of embedding a variable gearbox instead of a single reduction gear in electric vehicle powertrain from efficiency point of view. Losses due to a pair of spur gears meshing with involute teeth are modeled on the base of Coulomb’s law and fluid mechanics. The model for a variable gearbox is fulfilled and further employed in a complete vehicle simulation. Simulation model run for a single reduction gear then the results are taken as benchmark for other types of commonly used transmissions. Comparing power consumption, which is obtained from simulation model, shows that the extra load imposed by variable transmission components will shade the benefits of efficient operation of electric motor. The other accomplishment of this study is a combination of modified formulas that led to a new methodology for power loss prediction in gear meshing which is compatible with modern design and manufacturing technology.
Resumo:
The behavioural finance literature expects systematic and significant deviations from efficiency to persist in securities markets due to behavioural and cognitive biases of investors. These behavioural models attempt to explain the coexistence of intermediate-term momentum and long-term reversals in stock returns based on the systematic violations of rational behaviour of investors. The study investigates the anchoring bias of investors and the profitability of the 52-week momentum strategy (GH henceforward). The relatively highly volatile OMX Helsinki stock exchange is a suitable market for examining the momentum effect, since international investors tend to realise their positions first from the furthest security markets by the time of market turbulence. Empirical data is collected from Thomson Reuters Datastream and the OMX Nordic website. The objective of the study is to provide a throughout research by formulating a self-financing GH momentum portfolio. First, the seasonality of the strategy is examined by taking the January effect into account and researching abnormal returns in long-term. The results indicate that the GH strategy is subject to significantly negative revenues in January, but the strategy is not prone to reversals in long-term. Then the predictive proxies of momentum returns are investigated in terms of acquisition prices and 52-week high statistics as anchors. The results show that the acquisition prices do not have explanatory power over the GH strategy’s abnormal returns. Finally, the efficacy of the GH strategy is examined after taking transaction costs into account, finding that the robust abnormal returns remain statistically significant despite the transaction costs. As a conclusion, the relative distance between a stock’s current price and its 52-week high statistic explains the profits of momentum investing to a high degree. The results indicate that intermediateterm momentum and long-term reversals are separate phenomena. This presents a challenge to current behavioural theories, which model these aspects of stock returns as subsequent components of how securities markets respond to relevant information.
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The threat of global warming and its consequences are widely recognized, and the question of how to proceed with the long transition towards fossil fuel -neutral economies concerns many nations and people. At the same time the world’s primary energy use is predicted to increase significantly during the next decades as a result of global population and welfare increase. Improved energy efficiency and increased use of renewable energy sources in the world’s energy mix play important roles in the future energy production and consumption. The objective of this thesis is to study how novel renewable energy technologies, such as distributed small-scale bio-fueled combined heat and power production and wind power technologies could be commercialized efficiently. A wide array of attributes may contribute to the diffusion of new products. In general, the bioenergy and wind power technologies are in emerging phases, and the diffusion stage varies from country to country. The effects of firms’ technology choices, collaboration and alliances are studied in this thesis. Furthermore, the roles of national energy infrastructure and energy support schemes in the commercialization of new renewable energy products are explored. The empirical data is based on energy expert interviews, financial and patent data, and literature reviews of different case studies. The thesis comprises two parts. The first part provides an overview of the study, and the second part includes six research publications. The results reveal that small-scale bio-fueled combined heat and power production and wind power technologies are still in emerging phases in their life cycles, and energy support schemes are crucial in the market diffusion. The study contributes to earlier findings in the literature and industry by confirming that adequate energy policies and energy infrastructure are fundamental in the commercialization of novel renewable energy technologies. Firm-specific issues, including business relationships and new business models, and market-related issues will have a more significant role in the market penetration in the future, when the technologies mature and become competitive without political support schemes.
Resumo:
RENSOL (Regional Energy Solutions) project deals with the use of energy efficiency and renewable energy solutions in Kaliningrad Oblast to tackle climate change. Overall objective of the RENSOL work package 1 is to build awareness and knowledge on solutions for energy efficient buildings and street lightning applications. The project report describes available solutions to improve housing energy efficiency.
Resumo:
Varsinais-Suomen ELY-keskus teettää säännöllisesti maakunnan valikoiduille toimialoille työvoiman ja koulutuksen tarvetutkimuksia (TKTT). Tähän raporttiin on koottu bio- ja terveysalan TKTT-prosessin kaikki osiot: toimialan tilastotiedot, yrityshaastattelut syksyltä 2009, 2.3.2010 järjestetyn asiantuntijaraadin yhteenveto ja Delfoi-kierroksen tulokset. Varsinais-Suomi on kotimaassa lääketieteellisen bioalan kärkeä ja kansainvälistä huippua tietyillä tutkimusalueilla. Tässä työssä toimiala luokitellaan määritelmällä ”bioja terveysala”, johon kuuluvat lääkkeiden kehitys- ja valmistus, diagnostiikka, bioalan palvelut ja biomateriaalit. Toimialalla oli yrityksiä vuonna 2008 tehdyn kartoituksen perusteella noin 100, liikevaihdon ollessa yhteensä noin 522 miljoonaa €. Ala työllisti suoraan yli 2500 henkilöä, jonka lisäksi on huomioitava merkittävä alihankintaverkosto. Bio- ja terveysalan yrityskenttä jakautuu useisiin pienyrityksiin ja muutamiin suuryrityksiin, jotka työllistävät pääosan alan henkilöstöstä. Bioalan kehitystä koordinoi Turku Science Parkin BioTurku, joka on luonut vuonna 2009 uusimman strategian kasvuodotusten toteuttamiseksi. Viime vuosina Varsinais-Suomeen on syntynyt erityisesti biopalvelu- ja liiketoiminnankehitysyrityksiä. Alan koulutusta tarjotaan runsaasti, pääasiassa yliopistoissa ja ammattikorkeakoulussa. Aloituspaikkoja vuonna 2009 oli Turussa yhteensä 174. TKTT-haastattelut tehtiin yrityksissä loka-marraskuussa 2009: niissä haastateltiin 24 toimijaa, jotka työllistivät kaikkiaan 1849 henkilöä. Muutaman suuren yrityksen ansiosta määrä vastaa noin 70 % alan koko työvoimasta, mutta kattaa myös kaikki toimialamäärittelyssä esitetyt alaluokat Varsinais-Suomessa. Tutkimuskohteista pkyrityksiin lukeutui 80 %, mutta kokonaishenkilöstöstä 86 % työskenteli kolmen suurimman yrityksen palveluksessa. Yritysten näkymät vuonna 2009 olivat tilastollisesti optimistisia taloustilanteeseen nähden, ja lama on selvästikin taittumassa alalla. Vuoden kuluessa työllistävyyskehitys on kuitenkin vielä varovaista. Henkilöstön nettomäärä haastatelluissa yrityksissä lisääntyy syksyyn 2010 mennessä noin 11 henkilöllä. Suurin kasvu (20 %) on alle 10 henkeä työllistävissä mikroyrityksissä, ja työvoiman vähenemä koostuu pääasiassa suurempien yritysten eläkkeelle siirtyvistä työntekijöistä. Bio- ja terveysalalla on moninaisia tutkimukseen ja tuotantoon liittyviä toimenkuvia. Yleisimpiä ammattinimikkeitä haastatelluissa yrityksissä olivat kemisti, laborantti, insinööri ja tuotantotyöntekijä. Diagnostiikka-alan alihankintatöissä tarvitaan elektroniikka-asentajia. Henkilöstön ikärakenne painottuu 25-39-vuotiaisiin, joita on yli 40 % työvoimasta. Nuoria alle 24-vuotiaita työntekijöitä on erittäin vähän, mutta toisaalta vain 2 % työntekijöistä on eläköitymässä kahden vuoden kuluessa. Haastattelutulosten mukaan syksyllä 2009 noin puolessa yrityksistä elettiin nousukauden alkua, ja lamaan itsensä sijoitti viidennes. Syksyllä 2010 yrityksistä jo 95 % uskoo olevansa suhdannekäyrän positiivisella puolella, mutta kasvupotentiaalia on vielä huomattavasti. Haastatteluhetkellä työvoiman käyttöaste oli pääosin sopiva ja vain neljällä yrityksellä alhainen.
Resumo:
Laser additive manufacturing (LAM), known also as 3D printing, has gained a lot of interest in past recent years within various industries, such as medical and aerospace industries. LAM enables fabrication of complex 3D geometries by melting metal powder layer by layer with laser beam. Research in laser additive manufacturing has been focused in development of new materials and new applications in past 10 years. Since this technology is on cutting edge, efficiency of manufacturing process is in center role of research of this industry. Aim of this thesis is to characterize methods for process efficiency improvements in laser additive manufacturing. The aim is also to clarify the effect of process parameters to the stability of the process and in microstructure of manufactured pieces. Experimental tests of this thesis were made with various process parameters and their effect on build pieces has been studied, when additive manufacturing was performed with a modified research machine representing EOSINT M-series and with EOS EOSINT M280. Material used was stainless steel 17-4 PH. Also, some of the methods for process efficiency improvements were tested. Literature review of this thesis presents basics of laser additive manufacturing, methods for improve the process efficiency and laser beam – material- interaction. It was observed that there are only few public studies about process efficiency of laser additive manufacturing of stainless steel. According to literature, it is possible to improve process efficiency with higher power lasers and thicker layer thicknesses. The process efficiency improvement is possible if the effect of process parameter changes in manufactured pieces is known. According to experiments carried out in this thesis, it was concluded that process parameters have major role in single track formation in laser additive manufacturing. Rough estimation equations were created to describe the effect of input parameters to output parameters. The experimental results showed that the WDA (width-depth-area of cross-sections of single track) is correlating exponentially with energy density input. The energy density input is combination of the input parameters of laser power, laser beam spot diameter and scan speed. The use of skin-core technique enables improvement of process efficiency as the core of the part is manufactured with higher laser power and thicker layer thickness and the skin with lower laser power and thinner layer thickness in order to maintain high resolution. In this technique the interface between skin and core must have overlapping in order to achieve full dense parts. It was also noticed in this thesis that keyhole can be formed in LAM process. It was noticed that the threshold intensity value of 106 W/cm2 was exceeded during the tests. This means that in these tests the keyhole formation was possible.
Resumo:
Biopolttoaineet ovat tärkeä energianlähde suomalaisessa energiantuotannossa. Biopoltto- aineille on kuitenkin ominaista laadun vaihtelevuus. Yksi tärkeimmistä laatutekijöistä on kosteus, joka vaikuttaa myös polttoaineen energiasisältöön. Laatutekijät puolestaan vai- kuttavat polttoainekäsittelyyn, polttoprosessiin ja koko laitoksen hyötysuhteeseen. Tämän työn tarkoituksena oli tutkia voisiko biopolttoaineiden online-laadunmittaus tuoda lisäarvoa energiantuotantolaitokselle. Esimerkkinä käytettiin yhtä online-laadunmittaus- sovellusta, InrayFuel-röntgenmittausjärjestelmää. Sillä voidaan seurata biopolttoaineiden kosteutta ja polttoaineen sisältämiä vierasaineita. Työssä on laadittu kustannusanalyysi, jolla pyritään selvittämään, onko nykyisen kertaluontoisen mittausmenetelmän korvaami- nen jatkuvatoimisella kannattavaa. Esimerkkilaitoksena on Etelä-Savon Energian Pur- sialan voimalaitos, jossa röntgenmittausjärjestelmään on testattu. Saatujen tulosten mukaan investoiminen esimerkkimittausjärjestelmään maksaisi itsensä takaisin alle vuodessa. Kun laitoksella pystytään seuraamaan polttoaineen laatua jatkuva- toimisesti, laadunhallinta paranee ja sitä kautta voidaan saavuttaa kustannussäästöjä. Polt- toaineesta johtuvat häiriötilanteet vähenevät, polttoaine on mahdollista optimoida edulli- semmaksi polton kannalta ja poltto-olosuhteita voidaan säätää paremmin, jolloin päästöt vähenevät ja hyötysuhde kasvaa. Työssä käytetty laskenta analysoi kuitenkin hyvin ylei- sellä tasolla, sillä käytössä ei ollut laitoksen omaa taselaskentajärjestelmää. Laskenta siis sisältää paljon oletuksia. Tämän ja rohkaisevien tulosten vuoksi tutkimusta jatkuvatoimi- sen laadunmittauksen hyödyistä kannattaa tehdä enemmän.