Jäähdytysjärjestelmän vaikutus kiinteistön elinkaaren aikaisiin tuottoihin

Ilmastoinnin jäähdytys yleistyy toimisto- ja hotellikiinteistöissä jatkuvasti. Perinteinen tapa tuottaa jäähdytysenergia on kiinteistökohtainen vedenjäähdytysjärjestelmä. Helsingissä on ollut vuodesta 2000 lähtien mahdollista liittyä Helsingin energian kaukojäähdytysverkostoon. Jäähdytysjärjestelmien ominaisuudet poikkeavat toisistaan ja niistä aiheutuu kiinteistönomistajalle erilaisia kustannuksia. Kiinteistöstä saataviin tuottoihin vaikuttaa kustannusten lisäksi vuokralaisen tyytyväisyys. Tämän vuoksi työssä selvitettiin vuokralaisen tarpeet jäähdytysjärjestelmälle haastattelemalla vuokralaisen edustajia. Tässä diplomityössä vertaillaan kaukojäähdytyksen ja kiinteistökohtaisen jäähdytysjärjestelmän kustannuksia, sekä vaikutuksia kiinteistön elinkaarituottoihin kiinteistönomistajan näkökulmasta. Kerättyjen kustannusten perusteella suoritetaan elinkaarikustannuslaskenta GaBi-ohjelmalla. Vuokralaisen tarpeista jäähdytysjärjestelmälle tunnistetaan olennaisiksi toimintavarmuus, ympäristöystävällisyys sekä hiljainen äänitaso. Nämä ovat lisäarvotekijöitä, joille työssä määritetään painoarvo ja jotka huomioidaan laskennassa. Diplomityö osoitti kaukojäähdytyksen kannattavaksi vaihtoehdoksi kiinteistökohtaiselle järjestelmälle, kun huomioidaan hankinta- ja käyttökustannusten lisäksi asennustöiden, käyttöönoton, huollon ja kunnossapidon sekä loppusijoituksen kustannukset. Myös valikoituneet lisäarvotekijät puoltavat kaukojäähdytystä ja niiden kompensointi lisää kiinteistökohtaisen järjestelmän kustannuksia.

Kaukojäähdytysverkon rakennevaihtoehdot

Kaukojäähdytyksellä tarkoitetaan keskitetysti tuotetun jäähdytysenergian jakamista kiinteistöihin jakeluverkossa kiertävän kylmän veden välityksellä, eli kaukojäähdytys on ulkoistettu jäähdytysratkaisu. Jäähdytysenergiaa tarvitaan työtehon, viihtyisyyden ja sisäilman laadun parantamiseksi, sekä joidenkin prosessien tarpeisiin. Siinä missä perinteinen kiinteistökohtainen jäähdytysjärjestelmä tuottaa jäähdytysenergian sähköllä, käytetään kaukojäähdytyksessä jäähdytysenergian tuottamiseen sellaisia resursseja, jotka muuten jäisivät käyttämättä. Tästä syystä kaukojäähdytys vähentää merkittävästi hiilidioksidipäästöjä, jonka lisäksi kaukojäähdytys vähentää kylmäkoneissa käytettävien kylmäaineiden aiheuttamia kasvihuonekaasupäästöjä. Kaukolämpöverkkoa muistuttavan kaukojäähdytysverkon rakentaminen vaatii suuria investointeja. Nykyisin jakeluverkon rakenteena käytetään 2Mpuk- rakennetta, jonka todettiin olevan teknistaloudellisesti soveltuvin vaihtoehto Helsingin Energian kaukojäähdytysverkkoon. Myös PE 100 putkia voitaisiin käyttää PN 16 paineluokassa alle DN 300 kokoluokkaa vastaavissa johdoissa, ja PN 10 paineluokassa alle DN 400 johdoissa. Kaukolämpöverkon paineluokan valinta vaikuttaa oleellisesti investointikustannuksiin PE- putkilla ja joillekin alueille kannattanee rakentaa alemman paineluokan omaava erillisverkko PE- putkista. Happidiffuusion kautta PE- putkista pääsee jonkin verran happea verkkoon, mutta määrät ovat melko pieniä, eikä muitakaan teknisiä esteitä hyvin korroosiota kestävien PE- putkien käytölle ole. 2Mpuk- rakenteelle suurimman riskin aiheuttaa elementtien liitoskohdista teräsputken pinnalle pääsevä ulkopuolinen vesi. Koska kaukojäähdytysjohdot ovat lisäksi yleensä ympäristöä kylmempiä, kondensoivat ne vettä pinnallensa kaukolämpöjohdoista poiketen. Ulkopuolisen veden aiheuttamaa riskiä voitaisiin pienentää eristämällä liitoskohdat sähkömuhveilla. Verkoston rakentamiskustannuksia ja liikenteelle aiheutuvia haittoja voidaan vähentää ojattomia rakentamismenetelmiä, kuten suuntaporausta käyttämällä.

Lumen varastointi ja hyödyntäminen tilojen jäähdytykseen, Case: Kone Oyj

Tämän diplomityön tarkoituksena on selvittää mahdollisuutta hyödyntää lunta tilojen jäähdytykseen Koneen Hyvinkään tehdasalueella. Työssä kerrotaan myös yleisesti eri jäähdytysmuodoista ja tuotantotavoista. Eri kirjallisuuslähteiden pohjalta tutkittiin erilaisia lumijäähdytysjärjestelmiä, joiden energiataseiden pohjalta tehtiin sopiva malli kohdealueelle. Mallin avulla selvitettiin lumesta hyödynnettävä jäähdytysenergian määrä. Esitetylle varastolle hahmoteltiin investointi- ja käyttökustannukset kirjallisuuslähteiden ja asiantuntijoiden avulla. Kustannuksien ja jäähdytysenergiamäärien avulla laskettiin lumijäähdytyksen tuotantokustannukset, joita verrattiin perinteiseen kompressorijäähdyttimeen. Lopuksi pohdittiin vielä takaisinmaksuaikoja lumivaraston liittyessä nykyisiin jäähdytysjärjestelmiin ja kokonaan uuteen jäähdytysverkostoon. Tuloksien mukaan lumijäähdytys ei ole taloudellisesti kannattavaa Koneen Hyvinkään tehdasalueella. Ongelmaksi muodostui investointikustannusten suuruus verrattuna saatuihin säästöihin. Ympäristöllisesti ja yrityksellisesti hanketta voidaan pitää kannattavana. Lumijäähdytyksestä voidaan saada kannattavampi suuremmilla lumimäärillä, mikä vaatisi myös suuremmat jäähdytysenergiankulutukset kuin Koneella on. Myös hyödyntämällä luonnon omia rakenteita voidaan parantaa kannattavuutta.

Integrated analysis of cooling water systems: Modeling and experimental validation

Cooling towers are widely used in many industrial and utility plants as a cooling medium, whose thermal performance is of vital importance. Despite the wide interest in cooling tower design, rating and its importance in energy conservation, there are few investigations concerning the integrated analysis of cooling systems. This work presents an approach for the systemic performance analysis of a cooling water system. The approach combines experimental design with mathematical modeling. An experimental investigation was carried out to characterize the mass transfer in the packing of the cooling tower as a function of the liquid and gas flow rates, whose results were within the range of the measurement accuracy. Then, an integrated model was developed that relies on the mass and heat transfer of the cooling tower, as well as on the hydraulic and thermal interactions with a heat exchanger network. The integrated model for the cooling water system was simulated and the temperature results agree with the experimental data of the real operation of the pilot plant. A case study illustrates the interaction in the system and the need for a systemic analysis of cooling water system. The proposed mathematical and experimental analysis should be useful for performance analysis of real-world cooling water systems. (C) 2009 Elsevier Ltd. All rights reserved.

A systemic approach for optimal cooling tower operation

The thermal performance of a cooling tower and its cooling water system is critical for industrial plants, and small deviations from the design conditions may cause severe instability in the operation and economics of the process. External disturbances such as variation in the thermal demand of the process or oscillations in atmospheric conditions may be suppressed in multiple ways. Nevertheless, such alternatives are hardly ever implemented in the industrial operation due to the poor coordination between the utility and process sectors. The complexity of the operation increases because of the strong interaction among the process variables. In the present work, an integrated model for the minimization of the operating costs of a cooling water system is developed. The system is composed of a cooling tower as well as a network of heat exchangers. After the model is verified, several cases are studied with the objective of determining the optimal operation. It is observed that the most important operational resources to mitigate disturbances in the thermal demand of the process are, in this order: the increase in recycle water flow rate, the increase in air flow rate and finally the forced removal of a portion of the water flow rate that enters the cooling tower with the corresponding make-up flow rate. (C) 2009 Elsevier Ltd. All rights reserved.

Integrating wind generation in the distribution network

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de Mestre em Energias Renováveis – Conversão Eléctrica e Utilização Sustentáveis

Liquid cooling solutions for rotating permanent magnet synchronous machines

In the design of electrical machines, efficiency improvements have become very important. However, there are at least two significant cases in which the compactness of electrical machines is critical and the tolerance of extremely high losses is valued: vehicle traction, where very high torque density is desired at least temporarily; and direct-drive wind turbine generators, whose mass should be acceptably low. As ever higher torque density and ever more compact electrical machines are developed for these purposes, thermal issues, i.e. avoidance of over-temperatures and damage in conditions of high heat losses, are becoming of utmost importance. The excessive temperatures of critical machine components, such as insulation and permanent magnets, easily cause failures of the whole electrical equipment. In electrical machines with excitation systems based on permanent magnets, special attention must be paid to the rotor temperature because of the temperature-sensitive properties of permanent magnets. The allowable temperature of NdFeB magnets is usually significantly less than 150 ˚C. The practical problem is that the part of the machine where the permanent magnets are located should stay cooler than the copper windings, which can easily tolerate temperatures of 155 ˚C or 180 ˚C. Therefore, new cooling solutions should be developed in order to cool permanent magnet electrical machines with high torque density and because of it with high concentrated losses in stators. In this doctoral dissertation, direct and indirect liquid cooling techniques for permanent magnet synchronous electrical machines (PMSM) with high torque density are presented and discussed. The aim of this research is to analyse thermal behaviours of the machines using the most applicable and accurate thermal analysis methods and to propose new, practical machine designs based on these analyses. The Computational Fluid Dynamics (CFD) thermal simulations of the heat transfer inside the machines and lumped parameter thermal network (LPTN) simulations both presented herein are used for the analyses. Detailed descriptions of the simulated thermal models are also presented. Most of the theoretical considerations and simulations have been verified via experimental measurements on a copper tooth-coil (motorette) and on various prototypes of electrical machines. The indirect liquid cooling systems of a 100 kW axial flux (AF) PMSM and a 110 kW radial flux (RF) PMSM are analysed here by means of simplified 3D CFD conjugate thermal models of the parts of both machines. In terms of results, a significant temperature drop of 40 ̊C in the stator winding and 28 ̊C in the rotor of the AF PMSM was achieved with the addition of highly thermally conductive materials into the machine: copper bars inserted in the teeth, and potting material around the end windings. In the RF PMSM, the potting material resulted in a temperature decrease of 6 ̊C in the stator winding, and in a decrease of 10 ̊C in the rotor embedded-permanentmagnets. Two types of unique direct liquid cooling systems for low power machines are analysed herein to demonstrate the effectiveness of the cooling systems in conditions of highly concentrated heat losses. LPTN analysis and CFD thermal analysis (the latter being particularly useful for unique design) were applied to simulate the temperature distribution within the machine models. Oil-immersion cooling provided good cooling capability for a 26.6 kW PMSM of a hybrid vehicle. A direct liquid cooling system for the copper winding with inner stainless steel tubes was designed for an 8 MW directdrive PM synchronous generator. The design principles of this cooling solution are described in detail in this thesis. The thermal analyses demonstrate that the stator winding and the rotor magnet temperatures are kept significantly below their critical temperatures with demineralized water flow. A comparison study of the coolant agents indicates that propylene glycol is more effective than ethylene glycol in arctic conditions.

Modeling the water uptake by chicken carcasses during cooling by immersion

In this study, water uptake by poultry carcasses during cooling by water immersion was modeled using artificial neural networks. Data from twenty-five independent variables and the final mass of the carcass were collected in an industrial plant to train and validate the model. Different network structures with one hidden layer were tested, and the Downhill Simplex method was used to optimize the synaptic weights. In order to accelerate the optimization calculus, Principal Component Analysis (PCA) was used to preprocess the input data. The obtained results were: i) PCA reduced the number of input variables from twenty-five to ten; ii) the neural network structure 4-6-1 was the one with the best result; iii) PCA gave the following order of importance: parameters of mass transfer, heat transfer, and initial characteristics of the carcass. The main contributions of this work were to provide an accurate model for predicting the final content of water in the carcasses and a better understanding of the variables involved.

Parallel simulated annealing applied to long term transmission network expansion planning

The simulated annealing optimization technique has been successfully applied to a number of electrical engineering problems, including transmission system expansion planning. The method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Moreover, it has the ability to provide solutions arbitrarily close to an optimum (i.e. it is asymptotically convergent) as the cooling process slows down. The drawback of the approach is the computational burden: finding optimal solutions may be extremely expensive in some cases. This paper presents a Parallel Simulated Annealing, PSA, algorithm for solving the long term transmission network expansion planning problem. A strategy that does not affect the basic convergence properties of the Sequential Simulated Annealing algorithm have been implementeded and tested. The paper investigates the conditions under which the parallel algorithm is most efficient. The parallel implementations have been tested on three example networks: a small 6-bus network, and two complex real-life networks. Excellent results are reported in the test section of the paper: in addition to reductions in computing times, the Parallel Simulated Annealing algorithm proposed in the paper has shown significant improvements in solution quality for the largest of the test networks.

Viscoelastic and Thermal Properties of Collagen-Xanthan Gum and Collagen-Maltodextrin Suspensions During Heating and Cooling

The purpose of this work was to investigate the viscoelastic properties of aqueous suspensions of crude collagen powder extracted from bovine hides and nonsubmitted to the hydrolysis reaction that leads to gelatin. The studied variables included the collagen concentration and the addition of xanthan gum or maltodextrin at varied concentrations during heating/cooling of the mixtures. Differential scanning calorimetry thermograms showed that the addition of polysaccharides decreased the endothermic peak areas observed at the denaturation temperature of collagen. The rheological properties of the pure collagen suspensions were highly dependent on concentration: 4% and 6% collagen suspensions presented a great increase in the storage modulus after heating/cooling, whereas for concentrations of 8% and 10% G' decreased during heating and did not recover its original value after heating/cooling. The frequency sweeps showed that the thermal treatment was responsible by the strengthening of the interactions that formed the polymer network. Addition of 0.1% xanthan gum to collagen suspensions increased the gel strength, especially after heating/cooling of the system, whereas increasing gum concentration to 0.3% resulted in a weaker gel, which could indicate thermodynamic incompatibility between the biopolymers. Mixtures of collagen and maltodextrin resulted in more fluid structures than those obtained with pure collagen at the same collagen concentration and the range of temperatures in which these mixtures behaved as a gel decreased with increasing concentrations of both collagen and maltodextrin, suggesting incompatibilities between the biopolymers.

Caracterización de la cerámica para su empleo como material de enfriamiento evaporativo en la envolvente de los edificios = Ceramic characterization towards its application as evaporative cooling material in building envelopes

El presente trabajo de investigación determina las características de la cerámica que más eficientemente se comporta a evaporación y a enfriamiento. Con el objeto de ser empleado como material integrado en la envolvente de los edificios para reducir su carga de refrigeración. La cerámica es un buen material para ser empleado para la refrigeración por evaporación. Es un sólido poroso inerte que, tras ser sometido a cocción a temperaturas por encima de los 900ºC, resulta uno de los materiales que mejor se comportan como contenedor de agua en su red capilar para, posteriormente, ir liberándola por evaporación al mismo tiempo que se enfría su superficie. La metodología general de investigación, se divide en tres etapas: Búsqueda y análisis del estado de la técnica y de la investigación. Estudio teórico de la eficacia del enfriamiento evaporativo como estrategia de enfriamiento pasivo en la arquitectura. Etapa experimental, desarrollada en tres fases: una primera de definición de los parámetros determinantes del Enfriamiento Evaporativo en piezas cerámicas, una segunda de selección cerámica y diseño de ensayos experimentales y una tercera de caracterización de la cerámica bajo criterios de evaporación y de enfriamiento. El recorrido por el estado de la cuestión ha identificado las aplicaciones tecnológicas y las investigaciones científicas que emplean el Enfriamiento Evaporativo con piezas cerámicas como técnica de enfriamiento. Como resultado se ha obtenido una tabla de clasificación de sistemas de enfriamiento evaporativo y se ha constatado que el conjunto de las aplicaciones están centradas en el diseño de piezas o sistemas pero que, sin embargo, no existe una definición de las características de la cerámica para su empleo como material de enfriamiento por evaporación. El estudio teórico de la eficacia del empleo del enfriamiento evaporativo como estrategia de enfriamiento pasivo en la arquitectura se ha realizado mediante cálculos de porcentaje de ampliación de horas en confort con empleo de técnicas de enfriamiento evaporativo directo e indirecto (EED y EEI). Como resultado se obtienen unos mapas para el ámbito español de potencial de aplicación del EED y EEI. Los resultados permiten afirmar que mediante EE se puede llegar a confort en prácticamente la totalidad de las horas de los días más cálidos del año en muchas localidades. La metodología experimental se ha desarrollado en tres fases. En la fase inicial, se han definido los parámetros determinantes del enfriamiento evaporativo en un medio cerámico mediante ensayos experimentales de capacidad de evaporación y de caracterización. Se realizaron un total de 12 ensayos. Se determinó que el material cerámico tiene una gran influencia en la capacidad de evaporación y enfriamiento en las piezas cerámicas, apoyando la hipótesis inicial y la necesidad de caracterizar el material. La primera fase empírica se centró en la selección cerámica y el diseño de los ensayos experimentales de comportamiento hídrico. Se seleccionaron muestras de 5 tipos de cerámica. Se realizaron 4 tipos de ensayos de caracterización y 6 tipos de ensayos experimentales de comportamiento hídrico (total 123 muestras ensayadas). Los resultados obtenidos son de dos tipos, por un lado, se determinó cuál es el tipo de cerámica que más eficientemente se comporta a EE y, por otro, se rediseñaron los ensayos de la última fase experimental. Para la segunda fase experimental se seleccionaron cerámicas de fabricación manual abarcando el mayor número de localidades del ámbito español. Se realizaron ensayos de caracterización de 7 tipos y ensayos de comportamiento hídrico de 5 tipos (total 197 muestras ensayadas). Los resultados de caracterización han permitido aportar unos rangos de las características de la cerámica que más eficientemente se comporta en los ensayos de comportamiento hídrico. Al final de la investigación se ha caracterizado el material cerámico aportando características acerca de su porosidad, capacidad de absorción, color, rugosidad y mineralogía. Así como datos de referencia de su comportamiento hídrico. Además se ha desarrollado una metodología de ensayo específica que permite evaluar la capacidad de enfriamiento eficiente de una pieza cerámica. ABSTRACT The purpose of this research is to determine the characteristics of ceramic materials having the most efficient performance in terms of evaporation and cooling, so that they can be integrated in building envelopes to reduce cooling loads. Ceramics are suitable materials for cooling through passive evaporation. After being fired at temperatures over 900 °C (1,652 °F), the capillary network of this inert porous medium turns to be excellent to retain water, which is progressively liberated by evaporation while the material surface gets colder. Research methodology has involved the following steps: Search and analysis on the state of the art in technology and research. Theoretical study on the efficiency of evaporation as passive cooling strategies in buildings. Experimental stage developed in three phases, namely: definition of parameters determining evaporative cooling in ceramic elements; ceramic selection and design of experimental tests; characterization of ceramic materials under evaporation and cooling criteria. Search and analysis on the state of the art in this field have been useful to identify technology applications and scientific research where ceramics are employed for evaporative cooling. The resulting table shows that applications are wholly focused on the design of pieces and systems. Nonetheless, there is lack of definition of material characteristics in this scope. The theoretical study on efficiency of the passive strategy applied to buildings has been realized by calculation of the percentage increase in comfort hours through direct/indirect evaporative cooling techniques (DEC/IEC). The mapping of their potential application in Spain clearly shows that comfort conditions can be reached in almost all the hours of the hottest days in many towns. In the initial phase of the experimental stage, parameters determining evaporative cooling in ceramic media have been defined. For this purpose, characterization tests and evaporation and cooling rates experiments have been carried out; the number of samples tested amounted to 12. It has been concluded that material characteristics have great influence on these rates, which supports the initial hypothesis and the need for their characterization. The first empirical phase has focused on ceramic selection and design of water behaviour experimental methods. The samples covered five different kinds of ceramic materials. Four different characterization tests and six different water behaviour experiments were carried out; the number of samples tested amounted to 123. The experimental testing procedures served to determine the most efficient types of ceramic materials in terms of evaporative cooling efficiency and, at the same time, made it necessary to change the original designed experimental test for the last phase. In the second phase, a number of varied hand-made ceramic tiles have been selected. Seven different characterization tests and five different water behaviour tests were carried out; the number of samples amounted to 197. The results of characterization served to establish a range of features in ceramic materials according to their efficiency in water behaviour experiments. Finally, ceramic materials have been characterized according to porosity, water absorption, colour, surface roughness and mineralogy. Also, reference data regarding water behaviour have been included. Moreover, an innovative and specific experimental test to evaluate cooling efficiency of ceramic tiles has been developed.

Effect of cooling rate on intercritically reheated microstructure and toughness in high strength low alloy steel

High strength low alloy steels have been shown to be adversely affected by the existence of regions of poor impact toughness within the heat affected zone (HAZ) produced during multipass welding. One of these regions is the intercritically reheated coarse grained HAZ or intercritical zone. Since this region is generally narrow and discontinuous, of the order of 0.5 mm in width, weld simulators are often employed to produce a larger volume of uniform microstructure suitable for toughness assessment. The steel usedfor this study was a commercial quenched and tempered steel of 450 MN m -2 yield strength. Specimen blanks were subjected to a simulated welding cycle to produce a coarse grained structure of upper bainite during the first thermal cycle, followed by a second thermal cycle where the peak temperature T p2 was controlled. Charpy tests carried out for T p2 values in the range 650-850°C showed low toughness for T p2 values between 760 and 790°C, in the intercritical regime. Microstructural investigation of the development of grain boundary martensite-retained austenite (MA) phase has been coupled with image analysis to measure the volume fraction of MAformed. Most of the MA constituent appears at the prior austenite grain boundaries during intercritical heating, resulting in a 'necklace' appearance. For values of T p2 greater than 790°C the necklace appearance is lost and the second phase areas are observed throughout the structure. Concurrent with this is the development of the fine grained, predominantly ferritic structure that is associated with the improvement in toughness. At this stage the microstructure is transforming from the intercritical regime structure to the supercritically reheated coarse grained HAZ structure. The toughness improvement occurs even though the MA phase is still present, suggesting that the embrittlement is associated with the presence of a connected grain boundary network of the MA phase. The nature of the second phase particles can be controlled by the cooling rate during the second cycle and variesfrom MA phase at high cooling rates to a pearlitic structure at low cooling rates. The lowest toughness of the intercritical zone is observed only when MA phase is present. The reason suggested for this is that only the MA particles debond readily, a number of debonded particles in close proximity providing sufficient stress concentration to initiate local cleavage. © 1993 The Institute of Materials.

Thermal modelling for dynamic transformer rating in low carbon distribution network operation

Dynamic asset rating is one of a number of techniques that could be used to facilitate low carbon electricity network operation. This paper focusses on distribution level transformer dynamic rating under this context. The models available for use with dynamic asset rating are discussed and compared using measured load and weather conditions from a trial Network area within Milton Keynes. The paper then uses the most appropriate model to investigate, through simulation, the potential gains in dynamic rating compared to static rating under two transformer cooling methods to understand the potential gain to the Network Operator.

Architectural-Physical Co-Design of 3D CPUs with Micro-Fluidic Cooling

The performance, energy efficiency and cost improvements due to traditional technology scaling have begun to slow down and present diminishing returns. Underlying reasons for this trend include fundamental physical limits of transistor scaling, the growing significance of quantum effects as transistors shrink, and a growing mismatch between transistors and interconnects regarding size, speed and power. Continued Moore's Law scaling will not come from technology scaling alone, and must involve improvements to design tools and development of new disruptive technologies such as 3D integration. 3D integration presents potential improvements to interconnect power and delay by translating the routing problem into a third dimension, and facilitates transistor density scaling independent of technology node. Furthermore, 3D IC technology opens up a new architectural design space of heterogeneously-integrated high-bandwidth CPUs. Vertical integration promises to provide the CPU architectures of the future by integrating high performance processors with on-chip high-bandwidth memory systems and highly connected network-on-chip structures. Such techniques can overcome the well-known CPU performance bottlenecks referred to as memory and communication wall. However the promising improvements to performance and energy efficiency offered by 3D CPUs does not come without cost, both in the financial investments to develop the technology, and the increased complexity of design. Two main limitations to 3D IC technology have been heat removal and TSV reliability. Transistor stacking creates increases in power density, current density and thermal resistance in air cooled packages. Furthermore the technology introduces vertical through silicon vias (TSVs) that create new points of failure in the chip and require development of new BEOL technologies. Although these issues can be controlled to some extent using thermal-reliability aware physical and architectural 3D design techniques, high performance embedded cooling schemes, such as micro-fluidic (MF) cooling, are fundamentally necessary to unlock the true potential of 3D ICs. A new paradigm is being put forth which integrates the computational, electrical, physical, thermal and reliability views of a system. The unification of these diverse aspects of integrated circuits is called Co-Design. Independent design and optimization of each aspect leads to sub-optimal designs due to a lack of understanding of cross-domain interactions and their impacts on the feasibility region of the architectural design space. Co-Design enables optimization across layers with a multi-domain view and thus unlocks new high-performance and energy efficient configurations. Although the co-design paradigm is becoming increasingly necessary in all fields of IC design, it is even more critical in 3D ICs where, as we show, the inter-layer coupling and higher degree of connectivity between components exacerbates the interdependence between architectural parameters, physical design parameters and the multitude of metrics of interest to the designer (i.e. power, performance, temperature and reliability). In this dissertation we present a framework for multi-domain co-simulation and co-optimization of 3D CPU architectures with both air and MF cooling solutions. Finally we propose an approach for design space exploration and modeling within the new Co-Design paradigm, and discuss the possible avenues for improvement of this work in the future.

Structural Connectivity Of The Default Mode Network And Cognition In Alzheimer׳s Disease.

Disconnectivity between the Default Mode Network (DMN) nodes can cause clinical symptoms and cognitive deficits in Alzheimer׳s disease (AD). We aimed to examine the structural connectivity between DMN nodes, to verify the extent in which white matter disconnection affects cognitive performance. MRI data of 76 subjects (25 mild AD, 21 amnestic Mild Cognitive Impairment subjects and 30 controls) were acquired on a 3.0T scanner. ExploreDTI software (fractional Anisotropy threshold=0.25 and the angular threshold=60°) calculated axial, radial, and mean diffusivities, fractional anisotropy and streamline count. AD patients showed lower fractional anisotropy (P=0.01) and streamline count (P=0.029), and higher radial diffusivity (P=0.014) than controls in the cingulum. After correction for white matter atrophy, only fractional anisotropy and radial diffusivity remained significantly lower in AD compared to controls (P=0.003 and P=0.05). In the parahippocampal bundle, AD patients had lower mean and radial diffusivities (P=0.048 and P=0.013) compared to controls, from which only radial diffusivity survived for white matter adjustment (P=0.05). Regression models revealed that cognitive performance is also accounted for by white matter microstructural values. Structural connectivity within the DMN is important to the execution of high-complexity tasks, probably due to its relevant role in the integration of the network.