Denna studie innefattar en så kallad aktivitetsbaserad energikartläggning som på en detaljerad nivå kartlägger relationen mellan aktiviteter i en skola med användningen av el. Metoden som används baseras på en traditionell metod för energikartläggning men elanvändning kartläggs minut för minut över en hel skolvecka vilket är ovanligt vid energikartläggningar. Data har samlats in för Berzeliusskolan i Linköping under vecka nio och analyserats i förhållande till andra veckor, skolor och nationella mål. Berzeliusskolan är en grund- och gymnasieskola med 1600 elever. Resultatet från studien kan användas för att bättre förutse energianvändning i nya skollokaler och för att prioritera bland möjliga energibesparande åtgärder. Resultatet från kartläggningen visar att de energiaktiviteter som orsakar störst energibehov är fastighetsdrift (33 %), skollunch (25 %) samt rekreation (15 %). Rekreation är definierat som aktiviteter utan direkt koppling till undervisning eller skollunch och innefattar bland annat uppehållsrum, korridorer och personalkök. Alltså är undervisning inte det som påverkar energianvändningen i en skola i första hand.   De viktigaste lärdomarna för genomförande av liknande energikartläggningar är att fokus inte bör ligga på elever och pedagoger utan på byggnaden och skolköket i stort. Eftersom energikartläggningen enbart täcker en skolvecka bör liknande studier genomföras för kunskapshus under skollov för att komplettera denna studie. / This master thesis includes an activity based energy audit in a combined elementary and upper secondary school in Linköping. The audit was conducted at a detailed level to show the connection between activities in schools and energy performance. The focus has largely been on electricity use and the overall method is based on traditional energy audit. The method however is distinct from traditional methods by the fact that electricity is shown minute by minute over a full school week. The results from the study can be used to better foresee energy use in new or remodeled schools. Also, the results is a valuable basis for prioritizing among energy conservation measures connected to similar schools and buildings. The main results from the energy audit shows that building services (33 %), school lunch (25 %) and recreational activities (15 %) are the most important energy activities. It is also found that education itself only contributes to a limited extent. The most important factors in conducting such an activity based energy audit is that focus shouldn’t been on students and faculty but instead on the indoor climate systems and school kitchen. To continue this research, similar audits should be conducted in more schools and during school breaks.

Deep decarbonisation of road transportation is challenging. One of the most potentially beneficial approaches is electrification which is the subject of this PhD thesis. A widespread penetration of electric vehicles (EVs) across a large proportion of road transport demand is needed to realise the benefits of an electrified transport sector. However, this is dependent on overcoming significant barriers. This study performs a systematic analysis of how proven power charging technologies could be used to unlock the barriers to widespread electrification of road transportation. Various road transport sectors and type of journeys are explored including aspects of autonomous operations and novel wireless power transfer technologies. For each operation, a framework is proposed that allows the exploitation of current and potential future electrification technologies to enable shifting towards EVs. Based on that, simulation tools and methods are developed to calculate the power requirements of EVs and determine a suitable charging infrastructure. The additional power demand, electric load and the implications for the electricity supply network are explored. The total expenditure needed and the CO2 emission savings are also calculated for each investigated operation. Transitional strategies include the electrification of bus routes, refuse collection functions, home deliveries and aspects of autonomous operations for public transportation within the boundaries of the cities. In the long-term, focus is given on passenger cars and freight vehicles for both urban and inter-urban journeys. A nationwide adoption of all electrification strategies proposed in this thesis would increase the peak power demand of Great Britain by approximately 38 GW (72% of the current peak) and the electricity consumption by 180 TWh per year (45% of current consumption). The total capital cost required is calculated at £225 billion which is similar to the cost of other large infrastructure projects of the country. The impact would be a significant aggregate saving of approximately 2,000 MtCO2 between the numbers calculated for today's norms (2018) and those calculated for 2050.

Examining methods for controlling the electricity demand in Kuwait was the main objective and motivation of this researchp roject. The extensiveu se of air-conditioning for indoor cooling in office and large commercial buildings in Kuwait and the Gulf States represents a major part of the power and electricity consumption in such countries. The rising electricity generation cost and growing rates of consumption continuously demand the construction new power plants. Devising and enforcing Demand-SideM anagemen(t DSM) in the form of energye fficient operations trategies was the response of this research project to provide a means to rectify this situation using the demand-side management technique known as demand levelling or load shifting. State of the art demand-sidem anagementte chniquesh ave been examined through the developmenot f a model basedp redictive control optimisations trategyf or an integrateda ndm odulara pproachto the provisiono f ice thermals torage. To evaluate the potential of ice-storage assisted air-conditioning systems in flattening the demand curve at peak times during the summer months in Kuwait, a model of a Heating, Ventilation, and Air-conditioning (HVAC) plant was developed in Matlab. The model engaged the use of model based predictive control (MPQ as an optimisation tool for the plant as a whole. The model with MPC was developed to chose and decide on which control strategy to operate the integrated ice-storage HVAC plant. The model succeeded in optimising the operation of the plant and introduced encouraging improvement of the performance of the system as a whole. The concept of the modular ice-storage system was introduced through a control zoning strategy based on zonal orientation. It is believed that such strategy could lead to the modularisation of ice-storage systems. Additionally, the model was examined and tested in relation to load flattening and demonstrated promising enhancement in the shape of the load curve and demonstrated flattened demand curves through the employed strategy. When compared with measured data from existing buildings, the model showed potential for the techniques utilised to improve the load factor for office buildings.

Examining methods for controlling the electricity demand in Kuwait was the main objective and motivation of this researchp roject. The extensiveu se of air-conditioning for indoor cooling in office and large commercial buildings in Kuwait and the Gulf States represents a major part of the power and electricity consumption in such countries. The rising electricity generation cost and growing rates of consumption continuously demand the construction new power plants. Devising and enforcing Demand-SideM anagemen(t DSM) in the form of energye fficient operations trategies was the response of this research project to provide a means to rectify this situation using the demand-side management technique known as demand levelling or load shifting. State of the art demand-sidem anagementte chniquesh ave been examined through the developmenot f a model basedp redictive control optimisations trategyf or an integrateda ndm odulara pproachto the provisiono f ice thermals torage. To evaluate the potential of ice-storage assisted air-conditioning systems in flattening the demand curve at peak times during the summer months in Kuwait, a model of a Heating, Ventilation, and Air-conditioning (HVAC) plant was developed in Matlab. The model engaged the use of model based predictive control (MPQ) as an optimisation tool for the plant as a whole. The model with MPC was developed to chose and decide on which control strategy to operate the integrated ice-storage HVAC plant. The model succeeded in optimising the operation of the plant and introduced encouraging improvement of the performance of the system as a whole. The concept of the modular ice-storage system was introduced through a control zoning strategy based on zonal orientation. It is believed that such strategy could lead to the modularisation of ice-storage systems. Additionally, the model was examined and tested in relation to load flattening and demonstrated promising enhancement in the shape of the load curve and demonstrated flattened demand curves through the employed strategy. When compared with measured data from existing buildings, the model showed potential for the techniques utilised to improve the load factor for office buildings.

Made available in DSpace on 2015-03-26T13:23:59Z (GMT). No. of bitstreams: 1 texto completo.pdf: 1263079 bytes, checksum: 4f8dcc7d9121a93cc4f882cd8390c608 (MD5) Previous issue date: 2014-07-18 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Although there equations and graphics in scientific literature to estimate the static pressure gradient of airflow through layers of grains and seeds, studies using organic waste submitted to composting treatment are scarce. The objective of this study was to adjust equations to estimate the static pressure gradient of airflow through layers of different organic residues. The waste used were chicken litter and as bulking agents and carbon source: sugarcane bagasse, sawdust and coffee husk which were mixed in the ratio of 0; 10; 20; 30 e 40% (volumetric basis), of chicken litter in relation to bulking agents, as well as mixture with C/N ratio of 25/1, which were submitted to composting process. Measurements of static pressure drop in layers of organic waste before and after the composting process, and in layers of material from the different proportions of chicken litter added to bulking agents, were performed using a prototype with specific airflow rates ranging from 0.02 to 0.13 m 3 s -1 m -2. The static pressure drop of airflow increased as a power of the material layer thickness. Static pressure gradient in layers of organic waste decrease with the composting process. Shedd, Hukill & Ives and Hunter models may be used to predict the static pressure gradient of air to be blown through the organic residues layers, however, the Shedd model was that which best represented the phenomenon studied. Lower values of static pressure gradient were obtained in layers without chicken litter and the higher values obtained in layers composed of mixture of chicken litter in proportion of 40%. Equations to estimate the static pressure gradient for different proportions of chicken litter may be clustered, yielding models that can explain the variation of pressure gradient for each bulking agent and carbon source. / Embora existam, na literatura científica, equações e gráficos para estimativa do gradiente de pressão estática do ar, quando forçado em camadas de grãos e sementes, são poucos os trabalhos realizados utilizando-se resíduos orgânicos submetidos ao tratamento por compostagem. Neste trabalho, teve-se por objetivo o ajuste de equações que possibilitassem a estimativa do gradiente de pressão estática do ar, quando insuflado em camadas de diferentes materiais orgânicos. Os resíduos utilizados foram a cama de frango e, como agentes estruturantes e fonte de carbono, o bagaço de cana-de-açúcar, a serragem de madeira e a palha de café, os quais foram misturados nas proporções de 0; 10; 20; 30 e 40% (base volumétrica) de cama de frango em relação aos agentes estruturantes, além de misturas com relação C/N de 25/1, as quais foram submetidas ao tratamento por compostagem. As medições da queda de pressão estática do ar, ao atravessar camadas de material orgânico, antes e depois de ter sido submetido ao tratamento por compostagem, e nas camadas de materiais provenientes das diferentes proporções de cama de frango adicionada aos agentes estruturantes, foram realizadas utilizando-se um protótipo, no qual o material foi submetido a vazões específicas de ar que variaram de 0,02 a 0,13 m 3 s -1 m -2 . A queda na pressão estática do ar aumentou de forma potencial com a espessura da camada de material. No que se refere ao decurso do processo de compostagem, este contribuiu para redução do gradiente de pressão estática do ar ao atravessar as camadas de material orgânico. Os modelos matemáticos de Shedd, Hukill & Ives e Hunter podem ser utilizados para predizer o gradiente de pressão estática do ar, ao ser insuflado em camadas de resíduos orgânicos, no entanto, o modelo de Shedd pode ser considerado, em termos estatísticos, o que melhor representou o fenômeno em estudo. Menores valores de gradientes de pressão estática do ar foram obtidos em camadas sem adição de cama de frango e os maiores obtidos nas camadas constituídas pela mistura com cama de frango na proporção de 40%. As equações obtidas para estimativa do gradiente de pressão estática do ar, para as diferentes proporções de cama de frango, podem ser agrupadas, originando modelos capazes de explicar a variação do gradiente de pressão para cada agente estruturante e fonte de carbono.

Residential and public buildings account for about 40% of the annual energy use in Europe. Many buildings are in urgent need of renovation, and reductions in energy demand in the built environment are of high importance in both Europe and Sweden. Building energy simulation (BES) tools are often used to predict building performance. However, it can be a challenge to create a reliable BES model that predicts the real building performance accurately. BES modelling is always associated with uncertainties, and modelling occupancy behaviour is a challenging task. This research presents a case study of a BES model of a school building from the 1960s in Gävle, Sweden, comprising an example of a validation strategy and a study of energy use and potential energy-efficiency measures (EEMs). The results show that collection of input data based on evidence, stepwise validation (for unoccupied and occupied cases), and the use of a backcasting method (which predicts varying occupancy behaviour and airing) is an appropriate strategy to create a reliable BES model of the studied school building. Several field measurements and data logging in the building management system were executed, in order to collect input data and for validation of the predicted results. Through the stepwise validation, the building’s technical and thermal performance was validated during an unoccupied period. The backcasting method demonstrates a strategy on how to predict the effect of the varying occupancy behaviour and airing activities in the school building, based on comparisons of BES model predictions and field measurement data. After applying the backcasting method to the model, it was validated during an occupied period. The annual predicted specific energy use was 73 kWh/m2 for heating of the studied building. The distribution of heat losses indicates that the best potential EEMs are changing to efficient windows, additional insulation of the external walls, improved envelope airtightness and new controls of the mechanical ventilation system. / Byggnadssektorn står för ungefär 40 % av den årliga energianvändningen i Europa. Många byggnader är i stort behov av renovering och en minskning av energibehovet inom den byggda miljön är av stor vikt i både Europa och Sverige. För att undersöka byggnaders energianvändning används ofta simuleringsverktyg, men det kan vara utmanande att skapa pålitliga simuleringsmodeller som tillräckligt noggrant predikterar den verkliga byggnadens energianvändning. Simulering av byggnaders energianvändning är alltid förknippat med osäkerheter och att simulera människors beteendemönster är en stor utmaning. Den här forskningen innefattar en fallstudie med en simuleringsmodell av en skolbyggnad, byggd under 1960 talet och belägen i Gävle, inkluderat ett exempel på en valideringsstrategi och en studie av energianvändning och potentiella energieffektiviseringsåtgärder i byggnaden. Resultaten visar att insamling av indata baserade på evidens, stegvis validering (obemannad och bemannad) och användande av en backcasting-metod (vilket predikterar varierande brukarbeteende och vädring) är en lämplig strategi för att skapa en pålitlig energisimuleringsmodell för den studerade skolbyggnaden. Flertalet fältmätningar genomfördes och data loggades i systemet för fastighetsautomation, för att samla indata och för validering av de predikterade resultaten. Genom den stegvisa valideringen kunde byggnadens tekniska och termiska prestanda valideras för en obemannad period. Backcasting-metoden visar en strategi för hur man kan prediktera varierande brukarbeteende och vädringsaktiviteter i skolbyggnaden, baserat på jämförelser av modellens prediktioner och data från fältmätningar. När backcasting-metoden tillämpats i energisimuleringsmodellen, kunde modellen valideras för en bemannad period. Den årliga predikterade specifika energianvändningen för uppvärmningen är 73 kWh/m2. Fördelningen av värmeförluster i byggnaden indikerar att de bästa potentiella energieffektiviseringsåtgärderna är byte till fönster med bättre U-värde, tilläggsisolering av ytterväggarna, bättre lufttäthet i byggnadsskalet och ny styrning av det mekaniska ventilationssystemet.

With the advent of high-density micro-electrodes arrays, developing neural probes satisfying the real-time and stringent power-efficiency requirements becomes more challenging. A smart neural probe is an essential device in future neuroscientific research and medical applications. To realize such devices, we present a 22 nm FDSOI SoC with complex on-chip real-time data processing and training for neural signal analysis. It consists of a digitally-assisted 16-channel analog front-end with 1.52 μ W/Ch, dedicated bio-processing accelerators for spike detection and classification with 2.79 μ W/Ch, and a 125 MHz RISC-V CPU, utilizing adaptive body biasing at 0.5 V with a supporting 1.79 TOPS/W MAC array. The proposed SoC shows a proof-of-concept of how to realize a high-level integration of various on-chip accelerators to satisfy the neural probe requirements for modern applications.

Mixed-Criticality Systems (MCSs) include tasks with multiple levels of criticality and different modes of operation. These systems bring benefits such as energy and resource saving while ensuring safe operation. However, management of available resources in order to achieve high utilization, low power consumption, and required reliability level is challenging in MCSs. In many cases, there is a trade-off between these goals. For instance, although using fault-tolerance techniques, such as replication, leads to improving the timing reliability, it increases power consumption and can threaten life-time reliability. In this work, we introduce an approach named Life−timePeakPower management inMixed−Criticalitysystems (LPP-MC) to guarantee reliability, along with peak power reduction. This approach maps the tasks using a novel metric called Reliability-Power Metric (RPM). The LPP-MC approach uses this metric to balance the power consumption of different processor cores and to improve the life-time of a chip. Moreover, to guarantee the timing reliability of MCSs, a fault-tolerance technique, called task re-execution, is utilized in this approach. We evaluate the proposed approach by a real avionics task set, and various synthetic task sets. The experimental results show that the proposed approach mitigates the aging rate and reduces peak power by up to 20.6% and 17.6%, respectively, compared to state-of-the-art.

På grund av den rådande energiomställningen flockar både företag och privatpersoner till mer effektiva och gröna energislag. I många fall är dessa via elnätet, vilket gör det lämpligt att se över hur ett lokalnät påverkas av en sådan ökning av effekt samt om det finns kapacitetsbrist. Syftet är att utreda mängen nya elbilsladdare till 2030, samt undersöka om det finns kapacitetsbrist vid både normalt kopplingsläge samt två reservkopplingslägen. Det ska även undersökas om det finns nyckeltal för olika dimensioneringskriterier. De metoder som används för att uppskatta en framtida toppeffekt i nätet är olika. Den ena antar en homogen ökning samtidigt som den andra baserar sin väntade ökning på antal hushåll, parkeringsplatser och verksamheter i området runtomkring en nätstation. Det blir ganska stor spridning, samt olika slags resultat för de olika kopplingslägena. Utifrån uppskattningarna som gjordes, simulerades den nya högsta effekten för de olika scenarierna och kopplingslägena och därefter beräknades belastningen i kablarna för dessa. Simuleringar visade att det finns kablar i alla scenarierna som inte håller upp till företagets egna mål angående belastning i kablarna. I reservkopplingsläget klarade många kablar heller inte av den högsta strömmen som kan förväntas under högsta lasttimmen utifrån databladet för kablarna. När topplasten ökar, ökar även antalet kablar som blir överbelastade, i scenario 1 blev det många fler jämfört med nuläget och scenario 2. För de normala kopplingsläget gick det nästan alltid att byta ut till grövre kablar för hålla sig under den angivna belastningsgraden av 50$\%$ eller precis ovanför.  För reservkopplingslägena blir det svårare då kablarna måste ha en belastningsgrad under $100\%$ för att inte överlastskydden ska slå till. Där hittades det att byta till grövre kablar inte alltid var bäst då högsta strömmen var högre än den grövsta kabeln som används. Denna högsta strömmen verkar bero på att en slinga ska reservmata fler än en annan slinga. Det kan då vara lämpligt att bygga fler reservslingor som då kan underlätta vid reservmatningsläget. / Given the roaring energy transition, both people and companies want to be ahead of the curve and change to more energy efficient and green energy con- sumption. In most cases these renewable energy have to use the electrical grid, which is why this study focuses on the distribution network in a local electrical grid regarding its capacity. The goal is to estimate and investigate the amount of charging points for electrical vehicles in regards to the available capacity in the network. This is to be done in three different network configurations, which is then to conclude in dimensioning criterias. The three methods used to estimate the increase in top load in the local electrical grid are different. Two of the assumes a linear increase in the top load of every transformer, while the other one is based on the area which the sub- station is placed and estimates according to households, businesses and parking places. Where the top load increase differes between the different scenarios. With the estimations at hand, the different network configurations were simulated and subsquently calculated the load in the cables for the different scenarios. These simulations pointed out that there are cables in every scenario that are not up to par with the companys goal of limiting the load in the network configuration that is normally used. Aswell as not up to par with the cable data sheet in the reserve configuration. As the top load increase the amount of cable above the threshold increased, especially in scenario 1 for the normal configura- tion mode. In most cases in the normal configuration mode changing the cable to a 240mm2 cable would solve the problem. For the reserve configuration mode it was not always that simple, mostly because one trail of cable sometimes back up several other trails. Resulting in a bottle neck between the trails, some of these are not fully up to par, and some of them even have a higher maximum current than what the cables that are used can handle. Which meant that so- mething other than changing cable would be prefered, the best option seems to be increasing the amount of trail that can back up in the reserve configuration

A compact device model along with simulations and an experimental analysis of a forward-biasedPNjunction-based silicon Mach-Zehndermodulator (MZM) with a phase-shifter length of 0.5 mm is presented. By placing the PN junction to a certain off-center such that72%of thewaveguide is p-doped, the refractive index swing at a given drive voltage swing is increased by 2% compared to the symmetric layout. The effects of the phase shifters’ length mismatch and asymmetric splitting on the modulation efficiency and extinction ratio of the modulator are simulated and compared with experimental results.Without any pre-emphasis or post-processing, a high-speed operation up to 15 Gb/s using a nonreturn-to-zero modulation format is demonstrated. A modulation efficiency (V πL) as low as 0.07 V × cm is verified and power consumption of 0.88 mW/Gb/s is recorded while a high extinction ratio of 33 dB is experimentally demonstrated. Compared to previously reported forward-biased silicon integrated modulators, without active tuning of the power splitting ratio between the arms, the extinction ratio is 10 dB higher. This MZM along with its compact structure is also sufficiently energy-efficient due to its low power consumption. Thus, it can be suitable for applications like analog signal processing and high-order amplitude modulation transmissions.