With the constant diversification of cropping systems and the constant increase in farm size, new trends are observed for agricultural machinery. The increase in size of the machinery and the increasing number of contractors has opened the market to selfpropelled forage harvesters equipped with headers that can harvest row crops in any direction, at any spacing. High-capacity pull-type forage harvesters are also in demand but no commercial model offers non-row sensitive corn headers. The objectives of this research were to collect data and develop models of specific energy requirements for a prototype non-row sensitive corn header. The ability to better understand the processes involved during the harvesting and the modeling of these allowed the formulation of recommendations to reduce the loads on the harvester and propelling tractor. Three sets of experiments were performed. The first experiment consisted of measuring specific energy requirements of a non-row sensitive header, in field conditions, and to compare them with a conventional header. The prototype tested was found to require approximately twice the power than a conventional header of the same width, mostly due to high no-load power. Some properties of corn stalk required for the modeling of the energy needs, that were not available in literature, were measured in the laboratory. Those include the cutting energy with a specific knife configuration used on the prototype header and the crushing resistance of corn stalk. Two knife designs were compared for required cutting energy and found not to be significantly different with values of 0.054 J/mm2 of stalk cross-section area and 0.063 J/mm2. An average crushing resistance of 6.5 N per percent of relative deformation was measured. Three mathematical models were developed and validated with experimental data to predict and understand the specific energy needs of the non-row sensitive header. An analytical model was developed based on the analysis of the processes involved in the harvesting. A regression model was developed based on throughput and header speed and a general model suggested in literature was also validated with the data. All three models were fitted with coefficient of correlation between 0.88 to 0.90.

With the constant diversification of cropping systems and the constant increase in farm size, new trends are observed for agricultural machinery. The increase in size of the machinery and the increasing number of contractors has opened the market to selfpropelled forage harvesters equipped with headers that can harvest row crops in any direction, at any spacing. High-capacity pull-type forage harvesters are also in demand but no commercial model offers non-row sensitive corn headers. The objectives of this research were to collect data and develop models of specific energy requirements for a prototype non-row sensitive corn header. The ability to better understand the processes involved during the harvesting and the modeling of these allowed the formulation of recommendations to reduce the loads on the harvester and propelling tractor. Three sets of experiments were performed. The first experiment consisted of measuring specific energy requirements of a non-row sensitive header, in field conditions, and to compare them with a conventional header. The prototype tested was found to require approximately twice the power than a conventional header of the same width, mostly due to high no-load power. Some properties of corn stalk required for the modeling of the energy needs, that were not available in literature, were measured in the laboratory. Those include the cutting energy with a specific knife configuration used on the prototype header and the crushing resistance of corn stalk. Two knife designs were compared for required cutting energy and found not to be significantly different with values of 0.054 J/mm2 of stalk cross-section area and 0.063 J/mm2. An average crushing resistance of 6.5 N per percent of relative deformation was measured. Three mathematical models were developed and validated with experimental data to predict and understand the specific energy needs of the non-row sensitive header. An analytical model was developed based on the analysis of the processes involved in the harvesting. A regression model was developed based on throughput and header speed and a general model suggested in literature was also validated with the data. All three models were fitted with coefficient of correlation between 0.88 to 0.90.

The present study investigates experimentally the laminar mixing and heat transfer of a range of helical ribbon and anchor impellers for both Newtonian and inelastic non-Newtonian fluids. The work also correlates the experimental data empirically in the form of dimensionless groups. In order to estimate the relative importance and the effect of all the geometrical parameters on the mixing power and heat transfer, data from the published literature sources will be utilized and combined with the results from this study. Thus, reliable empirical correlations will be obtained which are applicable over the widest range of operating conditions. The study also investigates the ablity of the various impellers to level out temerature distributions. The measurement of these temperature gradients and the impeller power requirements gives a measure of the mixing efficiency of the impeller used.

The present study investigates experimentally the laminar mixing and heat transfer of a range of helical ribbon and anchor impellers for both Newtonian and inelastic non-Newtonian fluids. The work also correlates the experimental data empirically in the form of dimensionless groups. In order to estimate the relative importance and the effect of all the geometrical parameters on the mixing power and heat transfer, data from the published literature sources will be utilized and combined with the results from this study. Thus, reliable empirical correlations will be obtained which are applicable over the widest range of operating conditions. The study also investigates the ablity of the various impellers to level out temerature distributions. The measurement of these temperature gradients and the impeller power requirements gives a measure of the mixing efficiency of the impeller used. / Science Research Council

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Under tidsperioden 1965-1974 byggdes i Sverige omkring en miljon nya bostäder, även kallat för Miljonprogrammet. Idag utgörs närmare en tredjedel av det svenska bostadsbeståndet av bostäder från denna period och många byggnader börjar uppnå sin tekniska livslängd. Sverige har efter EU-direktiv tagit fram nationella mål om en effektivare energianvändning. För att snabbare nå dessa mål kan renovering och upprustning av miljonprogrammet kombineras med våningspåbyggnad.   Sverige står också inför växande bostadsbrist, likt under miljonprogrammet, samtidigt som samhället har begränsade ytor såväl i stadskärnor som i tätorter. Genom att rusta upp bostäder från miljonprogrammet i samband med en våningspåbyggnad kan nya bostäder skapas på ett resurseffektivt sätt och energiprestandan för den befintliga byggnaden förbättras.   I det här projektet har energiprestandan för ett tidstypiskt flerbostadshus utvärderats och därefter jämförts mot då flerbostadshuset utrustats med en våningspåbyggnad. Projektet tilldelades ett referenshus i Nacka som efter uppbyggnad och simulering i programvaran IDA ICE resulterade i en årlig energianvändning på 197,1 kWh/m2. En våningspåbyggnad lades till på referenshuset och visade efter simulering i programvaran IDA ICE en ny årlig energianvändning på bland annat 169,7 kWh/m2.   Efter projektet stod det klart att med en våningspåbyggnad kan energiprestanda för ett miljonprogramshus förbättras och i bästa fall kan en byggnad likt referenshuset gå från en energiklass G till E. Bostadsförtätning med hjälp av våningspåbyggnad är gynnsam ur många aspekter. Förutom att det sänker den totala byggnadens energianvändning skapar det också nya bostäder på ett resurseffektivt sätt. Samhället måste försöka skapa incitament för fastighetsägare till att renovera och hitta energieffektiva åtgärder för sina fastigheter. Ett sådant exempel skulle kunna vara tredimensionell fastighetsbildning vilket även är en alternativ form till att finansiera investeringar som exempelvis renoveringar. / During the years 1965-1974 around one million new housing were built in Sweden, this was also known as the “miljonprogrammet”. Today, nearly a third of the Swedish housing stock is from this particular period, and many buildings are reaching the end of their technical lifetime. After the new EU directives Sweden have decided on developing it's on national goals to achieve smart energy consumption. To speed up this development can the renovations of the existing "miljonprogrammet" executed in combination with storey extension.   Sweden is also facing growing housing shortage, much like during construction of the “miljonprogrammet” as well as limited areas both in urban and densely populated areas. By refurbishing buildings from the “miljonprogrammet” in conjunction with a storey extension, new housing can be built in a resource and energy efficient way. This should also improve the energy performance of the existing building.   In this project, the energy performance of an apartment building, typical from this time, was evaluated and then compared to a modified building with a storey extension. A reference house located in Nacka, Sweden was used to simulate the annual energy usage in the software IDA ICE. The simulation yielded an energy usage of 197.1 kWh/m2 for the reference building and 167.1 kWh/m2 for the building with a storey extension.   After the project it became clear that a storey extension on a building from the “miljonprogrammet” improved the existing building's energy consumption. At best, a building like the reference house can improve the energy classification from energy class G to E. Residential densification using storey extension is beneficial in many aspects. In addition to lowering the total energy consumption of the building it also creates new homes in a resource efficient manner. Society must seek to create enticements for property owners to renovate and execute energy efficient measures on their properties. One such example would be three-dimensional property formation which is also an alternative form of financing investment such as a renovation. / <p>Denna studentuppsats, som inte är ett examensarbete, är genomförd i projektkursen 5EN040 under hösten 2015. Studentarbetet har bedrivits i sammarbete med Tyréns Umeå.</p> / Uppsatsen ingår som ett kursmoment i projektkursen 5EN040 i energiteknik

Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec, wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). This system is optimized for efficient and accurate collection, processing, and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency, transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process, several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation, we have achieved 86.95% power reduction in average, in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented, which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings, when compared to a traditional way of executing deep sleep mode. / Nuförtiden så har multifunktionella bärbara hälsoenheter fått en betydande roll. Dessa enheter drivs vanligtvis av batterier och är därför begränsade av batteritiden (från ett par timmar till ett par veckor beroende på tillämpningen). På senaste tiden har det framkommit att dessa enheter som används vid en fast spänning och frekvens kan användas vid flera spänningar och frekvenser. Genom att byta till lägre spänning och frekvens på grund av effektbehov så kan enheterna få enorma fördelar när det kommer till energibesparing. Dynamisk skalning av spänning och frekvens-tekniker (såkallad Dynamic Voltage and Frequency Scaling, DVFS) har visat sig vara användbara i detta sammanhang för en effektiv avvägning mellan energi och beteende. Hos Imec så använder sig bärbara enheter av den internt utvecklade MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). Systemet är optimerat för effektiv och korrekt insamling, bearbetning och överföring av data från flera (hälso) sensorer. MUSEIC v2 har begränsad möjlighet att styra spänningen och frekvensen dynamiskt. I detta examensarbete undersöker vi hur traditionella DVFS-tekniker kan appliceras på MUSEIC v2. Experiment utfördes för att ta reda på de optimala effektlägena och för att effektivt kunna styra och även skala upp matningsspänningen och frekvensen. Eftersom att ”overhead” skapades vid växling av spänning och frekvens gjordes också en övergångsanalys. Realtidsoch icke-realtidskalkyler genomfördes baserat på dessa tekniker och resultaten sammanställdes och analyserades. I denna process granskades flera toppmoderna schemaläggningsalgoritmer och skalningstekniker för att hitta en lämplig teknik. Genom att använda vår föreslagna skalningsteknikimplementering har vi uppnått 86,95% effektreduktion i jämförelse med det konventionella sättet att MUSEIC v2-chipets processor arbetar med en fast spänning och frekvens. Tekniker som inkluderar lätt sömn och djupt sömnläge studerades och implementerades, vilket testade systemets förmåga att tillgodose DPM-tekniker (Dynamic Power Management) som kan uppnå ännu större fördelar. En ny metod för att genomföra den djupa sömnmekanismen föreslogs också och enligt erhållna resultat så kan den ge upp till 71,54% lägre energiförbrukning jämfört med det traditionella sättet att implementera djupt sömnläge.