Performance evaluation of an integrated solar water heater as an option for building energy conservation

Since a majority of residential and industrial building hot water needs are around 50 degrees C, an integrated solar water heater could provide a bulk source that blends collection and storage into one unit. This paper describes the design, construction and performance test results of one such water-heating device. The test unit has an absorber area of 1.3 m(2) and can hold 1701 of water, of which extractable volume per day is 1001. Its performance was evaluated under various typical operating conditions. Every morning at about 7:00 a.m., 1001 of hot water were drawn from the sump and replaced with cold water from the mains. Although, during most of the days, the peak temperatures of water obtained are between 50 and 60 degrees C, the next morning temperatures were lower at 45-50 degrees C. Daytime collection efficiencies of about 60% and overall efficiencies of about 40% were obtained. Tests were conducted with and without stratification. Night radiation losses were reduced by use of a screen insulation.

A New Structure Preserving Energy Function Incorporating Transmission Line Resistances

A novel method to account for the transmission line resistances in structure preserving energy functions (SPEF) is presented in this paper. The method exploits the equivalence of a lossy network having the same conductance to susceptance ratio for all its elements to a lossless network with a new set of power injections. The system equations and the energy function are developed using centre of inertia (COI) variables and the loads are modelled as arbitrary functions of respective bus voltages. The application of SPEF to direct transient stability evaluation is presented considering a realistic power system example.

Implications of Energy Profile and Storage on Energy Harvesting Sensor Link Performance

Energy harvesting sensors (EHS), which harvest energy from the environment in order to sense and then communicate their measurements over a wireless link, provide the tantalizing possibility of perpetual lifetime operation of a sensor network. The wireless communication link design problem needs to be revisited for these sensors as the energy harvested can be random and small and not available when required. In this paper, we develop a simple model that captures the interactions between important parameters that govern the communication link performance of a EHS node, and analyze its outage probability for both slow fading and fast fading wireless channels. Our analysis brings out the critical importance of the energy profile and the energy storage capability on the EHS link performance. Our results show that properly tuning the transmission parameters of the EHS node and having even a small amount of energy storage capability improves the EHS link performance considerably.

Optimal Sleep-Wake Policies for an Energy Harvesting Sensor Node

We study a sensor node with an energy harvesting source. In any slot,the sensor node is in one of two modes: Wake or Sleep. The generated energy is stored in a buffer. The sensor node senses a random field and generates a packet when it is awake. These packets are stored in a queue and transmitted in the wake mode using the energy available in the energy buffer. We obtain energy management policies which minimize a linear combination of the mean queue length and the mean data loss rate. Then, we obtain two easily implementable suboptimal policies and compare their performance to that of the optimal policy. Next, we extend the Throughput Optimal policy developed in our previous work to sensors with two modes. Via this policy, we can increase the through put substantially and stabilize the data queue by allowing the node to sleep in some slots and to drop some generated packets. This policy requires minimal statistical knowledge of the system. We also modify this policy to decrease the switching costs.

Determination of activation energy for thermal regeneration of EL2 from its metastable state by thermally stimulated photocurrent measurements

It is shown that thermally stimulated photocurrent measurements provide a simple and effective method of determining the activation energy of thermal regeneration rate of EL2 from the metastable state to the normal state in undoped semi‐insulating GaAs. The thermal regeneration rate r is found to be 2.5×108 exp(−0.26 eV/kT) s−1.

On the paradoxical relation between the melting temperature and forbidden energy gap of nanoparticles

We comment on the paradox that seems to exist about a correlation between the size-dependent melting temperature and the forbidden energy gap of nanoparticles. By analyzing the reported expressions for the melting temperature and the band gap of nanoparticles, we conclude that there exists a relation between these two physical quantities. However, the variations of these two quantities with size for semiconductors are different from that of metals. (C) 2010 American Institute of Physics.[doi:10.1063/1.3466920].

Joint Power Control, Scheduling and Routing for Multihop Energy Harvesting Sensor Networks

We study wireless multihop energy harvesting sensor networks employed for random field estimation. The sensors sense the random field and generate data that is to be sent to a fusion node for estimation. Each sensor has an energy harvesting source and can operate in two modes: Wake and Sleep. We consider the problem of obtaining jointly optimal power control, routing and scheduling policies that ensure a fair utilization of network resources. This problem has a high computational complexity. Therefore, we develop a computationally efficient suboptimal approach to obtain good solutions to this problem. We study the optimal solution and performance of the suboptimal approach through some numerical examples.

Ruokauskomukset Mosambikin maaseudun raskaana olevilla ja imettävillä naisilla

Ihmisille ympäri maailmaa on tyypillistä valita tiettyjä ruokia suuremmasta valikoimasta syömäkelpoista ruokaa ja luoda mieltymyksiä sekä kieltoja joitakin ruokia kohtaan. Näitä ilmiöitä kutsutaan ruokauskomuksiksi ja ne ovat tärkeä osa kulttuuria. Niiden taustalla on usein terveydelliset perustelut tai sosiaalinen arvostus yhteisössä. Afrikassa on todettu olevan paljon erilaisia ruokauskomuksia, jotka kohdistuvat usein raskaana oleviin ja imettäviin naisiin sekä lapsiin, ryhmään, joka on fysiologisesti erityisen herkässä elämänvaiheessa. Ravitsemustilan tai ruokaturvan ollessa heikko, mahdollisilla ruokauskomuksilla voi olla merkittävät seuraukset erityisesti tämän väestönosan terveydentilaan. Aliravitsemus ja virheravitsemus ovat edelleen suuria ongelmia Afrikassa ja muissa kehittyvissä maissa. Tämän työn tavoitteena oli tutkia laadullisin menetelmin, onko erityisesti raskaana olevilla ja imettävillä naisilla Keski-Mosambikin maaseudulla, Zambézian maakunnassa, ruokauskomuksia, mitä ne mahdollisesti ovat, sekä arvioida voiko ruokauskomuksilla olla ravitsemuksellista merkitystä. Menetelminä oli 5 ryhmähaastattelua kolmessa kylässä ja 10 yksilöhaastattelua kahdessa kylässä. Tutkittavat olivat 12–78-vuotiaita naisia ja heitä oli yhteensä 27. Tulkkaus, tutkimusaiheen sensitiivisyys ja haastattelijan kokemattomuus aiheuttivat haasteita haastatteluiden toteutukseen. Tämän vuoksi menetelmää muokattiin ja se vaihdettiin ryhmähaastattelusta yksilöhaastatteluun tutkimuksen aikana. Ruokauskomukset vaihtelivat sekä kylien välillä että kylien sisällä, joskin niistä löytyi samantyyppisiä pääpiirteitä. Työssä todettiin, että raskaana oleviin ja imettäviin naisiin kohdistui tutkimusalueella ruokauskomuksia. Raskauden aikana tuli välttää pääasiassa proteiinipitoisia ruokia, kuten lihaa ja kalaa ja puolestaan suosia kasvisten, hedelmien ja viljatuotteiden käyttöä. Linnun munien syöntiä sekä suositeltiin että kehotettiin välttämään raskauden aikana. Raskauden aikana ilmeni lisäksi tietoinen tapa vähentää kassavapuuron tai ruuan syömistä kokonaisuudessaan. Imetyksen aikana ei vältetty juuri mitään ruokia, vaan suositeltiin kookosta ja kasviksia. Suurin osa perusteluista liittyi äidin ja lapsen terveyteen. Perustelut voitiin jakaa seuraaviin ryhmiin: lisää äidinmaidon tuotantoa; aiheuttaa vatsakipua äidillä; pitää yllä kuntoa ja estää vatsan kasvua; äidistä tulee vahva, terve ja hän saa vitamiineja; lapsen ulkonäkö muuttuu; lapsesta tulee terve ja vahva; lapsen käyttäytyminen muuttuu; aiheuttaa keskenmenon; aiheuttaa vaikean tai helpon synnytyksen. Ruokauskomukset ja terveysviranomaisilta tullut valistus oli osittain sekoittunut keskenään. Lähes kaikki naiset kertoivat noudattavansa näitä ruokauskomuksia. Muutamat naiset kertoivat suositeltavien ruokien kohdalla, että ruokien saatavuus tekee noudattamisen joskus vaikeaksi. Proteiinipitoisten ruokien välttäminen voi lisätä proteiinialiravitsemuksen riskiä ja syömisen vähentäminen saattaa lisätä riskiä saada riittämättömästi energiaa raskauden aikana. Suositeltavat ruuat todennäköisesti edistävät terveyttä. Tutkielman perusteella voitiin todeta, että vieraassa kulttuurissa tutkiminen vaatii tutkimusmenetelmältä paljon. Tärkeää on menetelmän joustavuus, jotta sitä voi muuttaa tutkimuskentällä toimivampaan ja luotettavampaan muotoon. Johtopäätöksenä todettiin, että suositeltavin menetelmä tutkittaessa ruokauskomuksia tällä tutkimusalueella olisi ollut yksilöhaastattelut, jossa olisi ollut mahdollisimman vähän osallistujia ja osallistujat olisivat olleet samaa sukupuolta ja saman ikäisiä. Terveyden ja ravitsemuksen kannalta on tärkeää, että ruokauskomuksista ollaan tietoisia ja väestön ruokauskomuksia tutkitaan alueittain, koska ne voivat vaihdella merkittävästi jopa kylien tai ihmisryhmien sisällä.

Use of metastable equilibria for determination of Gibbs energy of solids

Attempts are made to measure activities of both components of a binary alloy (A�B) at 650 K using a solid-state galvanic cell incorporating a new composite solid electrolyte. Since the ionic conductivity of the composite solid electrolyte is three orders of magnitude higher than that of pure CaF2, the cell can be operated at lower temperatures. The alloy phase is equilibrated in separate experiments with flourides of each component and fluorine potential is measured. The mixture of the alloy (A�B) and the fluoride of the more reactive component (BF2) is stable, while (A�B) + AF2 mixture is metastable, Factors governing the possible use of metastable equilibria have been elucidated in this study. In the Co�Ni system, where the difference in Gibbs energies of formation of the fluorides is 21.4 kJ/mol, emf of the cell with metastable phases at the electrode is constant for periods ranging from 90 to 160 ks depending on alloy composition. Subsequently, the emf decreases because of the onset of the displacement reaction. In the Ni�Mn system, measurement of the activity of Ni using metastable equilibria is not fully successful at 650 K because of the large driving force for the displacement reaction (208.8 kJ/mol). Critical factors in the application of metastable equilibria are the driving force for displacement reaction and diffusion coefficients in both the alloy and fluoride solid solution.

Use of modal energy distribution in the design of honeycomb sandwich decks

Through the example of a spacecraft equipment deck, which is generally made of honeycomb sandwich construction, it is shown that modal energy distribution can be used as an effective guideline in improving the deck's frequencies to meet the restrictions imposed upon it. The kinetic energy distribution is employed as a basis for redistributing various packages on the deck. Strain energy distribution is used to identify areas which can be stiffened by bonding �doublers� on the face sheets and the doubler thickness is obtained from a sensitivity analysis.

Direct stability evaluation of power systems with detailed generator models using structure-preserving energy functions

Energy-based direct methods for transient stability analysis are potentially useful both as offline tools for planning purposes as well as for online security assessment. In this paper, a novel structure-preserving energy function (SPEF) is developed using the philosophy of structure-preserving model for the system and detailed generator model including flux decay, transient saliency, automatic voltage regulator (AVR), exciter and damper winding. A simpler and yet general expression for the SPEF is also derived which can simplify the computation of the energy function. The system equations and the energy function are derived using the centre-of-inertia (COI) formulation and the system loads are modelled as arbitrary functions of the respective bus voltages. Application of the proposed SPEF to transient stability evaluation of power systems is illustrated with numerical examples.

Dynamic security assessment of power systems using structure-preserving energy functions

An application of direct methods to dynamic security assessment of power systems using structure-preserving energy functions (SPEF) is presented. The transient energy margin (TEM) is used as an index for checking the stability of the system as well as ranking the contigencies based on their severity. The computation of the TEM requires the evaluation of the critical energy and the energy at fault clearing. Usually this is done by simulating the faulted trajectory, which is time-consuming. In this paper, a new algorithm which eliminates the faulted trajectory estimation is presented to calculate the TEM. The system equations and the SPEF are developed using the centre-of-inertia (COI) formulation and the loads are modelled as arbitrary functions of the respective bus voltages. The critical energy is evaluated using the potential energy boundary surface (PEBS) method. The method is illustrated by considering two realistic power system examples.

Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks

Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process parameters, supply voltage and temperature can be modeled accurately with ANNs. However, the complex nature of the ANN model, with the standard sigmoidal activation functions, does not allow analytical expressions for its mean and variance. We propose the use of a new activation function that allows us to derive an analytical expression for the mean and a semi-analytical expression for the variance of the ANN-based leakage model. To the best of our knowledge this is the first result in this direction. Our neural network model also includes the voltage and temperature as input parameters, thereby enabling voltage and temperature aware statistical leakage analysis (SLA). All existing SLA frameworks are closely tied to the exponential polynomial leakage model and hence fail to work with sophisticated ANN models. In this paper, we also set up an SLA framework that can efficiently work with these ANN models. Results show that the cumulative distribution function of leakage current of ISCAS'85 circuits can be predicted accurately with the error in mean and standard deviation, compared to Monte Carlo-based simulations, being less than 1% and 2% respectively across a range of voltage and temperature values.