Energy System Design and Optimization

soon as possible after acceptance. Copyediting, typesetting, and review of the resulting proof will be undertaken on this manuscript before final publication of the Version of Record (VoR). Please note that during production and pre-press, errors may be discovered which could affect the content.

soon as possible after acceptance. Copyediting, typesetting, and review of the resulting proof will be undertaken on this manuscript before final publication of the Version of Record (VoR). Please note that during production and pre-press, errors may be discovered which could affect the content.

Across the country, luxury and high-rise residential buildings have the highest comfort level and luxury living conditions. In these types of buildings, heating and cooling are carried out by high capacity mechanical systems during the year in order to ensure highest thermal comfort. Especially, these buildings are ventilated by mechanical ventilation systems generally for supplying fresh air and the humidity of supplied air is controlled by humidification and dehumidification systems. As general, all these HVAC systems are controlled by building automation systems in these types of buildings. Moreover, initial investment costs of these HVAC systems are quite high due to their high capacity and complexity so annual energy consumptions are much higher than HVAC systems of other residential building types. Besides, energy consumptions of all these systems depend on fossil resources generally and this dependence brings greater damage to atmosphere and environment due to the high amount of carbon emissions. Consequently, the reduction of energy consumption of these buildings is very necessary improving the energy performance of their HVAC systems. The European Union published Energy Performance of Buildings Directive (EPBD) to develop the energy efficiency of the buildings assessing energy performance and certificate them. In line with this directive, the case study luxury and high-rise residential building was selected in pilot area in Turkey and analyzed its current energy performance. Then optimum energy efficiency level of this building was determined performing improvement packages considering building complex structure and / or construction site and feasible renewable energy technologies.

Governments all around the world have promulgated a series of measures to reduce carbon impacts from built environment sector in-order-to tackle global climatic change. Scientists and practitioners are working individually as well as in conjunction to conceptualize, design and develop various models and methods for reducing carbon footprints and energy consumption from housing stock. This research project investigates the underlying relation between zero carbon buildings and zero energy buildings. Two different standards, ultra low energy efficient Passivhaus standard and the fabric energy efficiency standard (FEES) proposed by zero carbon hub (ZCH) are used to understand the performance of buildings in terms of carbon emission and energy consumption.
The stringent legislative requirement for producing ‘zero carbon’ dwelling by the year 2016 enforces designers and builders to look for alternative means to reduce carbon footprints and energy consumption from domestic dwellings. At the same time the Energy performance building Directive (EPBD) proposal to produce ‘nearly zero energy’ buildings by 2020 further necessities to look for the energy efficient means to improve energy performance of the dwellings.
In this project, the same model house has been used to make a comparative study using two different tools, passive house planning package (PHPP2007) and government’s standard assessment of energy rating of dwellings (SAP2009) tools, in terms of carbon emission and energy performance of the dwelling. Attempt has been made to understand underlying assumptions and differences between these two tools and findings of the comparative study are presented in this project.
The results from the analysis will provide probable estimation of real world carbon emission and energy consumption from the domestic dwelling. Furthermore, findings from this research will provide guidelines and procedures to practitioner for developing best approach that comply with government regulations in context of the UK.

Renewable energy exploration has rapidly gained importance as an alternative energy source with fossil fuels availability worldwide continue to deplete causing fluctuation in their prices. At the energy research and innovation level, it is required to have an understanding and appreciation of the technologies associated with renewable energy. One of the most prevalent renewable energy sources is solar energy. Research has been directed toward the use of trackers to increase the efficiency of a solar energy collectors to be able to harvest substantial energy. This was designed for to operate on single axis tracking system in this study. Feedback control theory with sensors was used to enable the solar collector to seek optimum position for the radiation of energy. A mechanism for automatic reset and restart was incorporated in the design of the tracking system. The constructed system satisfactorily tracks the sun from east to west and reset at sunset, with higher efficiency of solar energy harvested as compare to a fixed collector.

Energy is indispensable to human existence, and its need is on the increase daily due to technological advancement. In recent times, there is sporadic increase in the development of modern buildings, and these buildings require a cost-effective and sustainable source of energy. Nigeria and some other African countries have major energy shortage issues due to the insufficient power generation and distribution facilities. This energy poverty creates a challenge for the growing population, and as such, it is vital to ensure that the energy supplied to a building is duly optimized and delivered cost effectively. In this study, an energy audit of an eight-floor multipurpose business complex was performed to determine the nature and type of loads within the building. Based on the load profile and energy consumption over a 10-year period, three alternative energy sources (national grid, diesel generator and photovoltaic [PV] system) were considered using various load-sharing ratios. The result reveals that though PV solar system is a renewable energy source that reduces the production of greenhouse gases generated by burning diesel, its continuous application in low-middle-income country like Nigeria may be challenged by the initial start-up capital which raises the cost of its unit energy.

Massive material and energy are consumed in the integrated iron and steel industry, which results in substantial emissions. Many technologies and policies have been employed in the industry to achieve sustainable steelmaking. The potential of these technologies and policies is generally assessed at the facility/process level. The sitewide potential is usually overestimated or underestimated due to double-counting and missing items. To tackle this problem, a matrix model of the sitewide material-energy-emission nexus is developed in terms of the interconnection and interdependency of multiple flows. Based on the nexus model, the effects of operational actions on material, energy and emission intensities are investigated. In addition, the contribution of various operational parameters to the change in each flow is determined. Coke purchase, cast iron export, scrap steel utilization and metallic yield improvement are examined as a case study. The results showed that energy deficits or over-standard emissions may occur in certain cases influenced by the material-energy-emission nexus, and it is suggested to consider the whole-site energy balance and emission structure when making decisions. Finally, policy implications for reducing material consumption, energy consumption and emissions are provided.

Energy is indispensable to human existence, and its need is on the increase daily due to technological advancement. In recent times, there is sporadic increase in the development of modern buildings, and these buildings require a cost-effective and sustainable source of energy. Nigeria and some other African countries have major energy shortage issues due to the insufficient power generation and distribution facilities. This energy poverty creates a challenge for the growing population, and as such, it is vital to ensure that the energy supplied to a building is duly optimized and delivered cost effectively. In this study, an energy audit of an eight-floor multipurpose business complex was performed to determine the nature and type of loads within the building. Based on the load profile and energy consumption over a 10-year period, three alternative energy sources (national grid, diesel generator and photovoltaic [PV] system) were considered using various load-sharing ratios. The re...

In recent years, the employment of smart mobile phones has increased enormously and are concerned as an area of human life. Smartphones are capable to support immense range of complicated and intensive applications results shortened power capability and fewer performance. Mobile cloud computing is the newly rising paradigm integrates the features of cloud computing and mobile computing to beat the constraints of mobile devices. Mobile cloud computing employs computational offloading that migrates the computations from mobile devices to remote servers. In this paper, a novel model is proposed for dynamic task offloading to attain the energy optimization and better performance for mobile applications in the cloud environment. The paper proposed an optimum offloading algorithm by introducing new criteria such as benchmarking for offloading decision making. It also supports the concept of partitioning to divide the computing problem into various sub-problems. These sub-problems can be executed parallelly on mobile device and cloud. Performance evaluation results proved that the proposed model can reduce around 20% to 53% energy for low complexity problems and up to 98% for high complexity problems.

The interaction between humans and other species and with the natural environment, and their appropriation of the natural resources without which life is impossible, must be a central element in history (Beinart, 2000). This is because human beings are, before anything else, biological entities. When dams are built, they create man-made lakes or reservoirs. These dams and resulting lakes are important to society as they provide areas with water for drinking, farming irrigation, hydroelectric power generation and flood management. This is the basic premise for the construction of great dams across the globe, and the construction of the Akosombo dam was not an exception.

Mobile ad hoc networks are growing in popularity due to the explosive growth of modern
devices with wireless capability such as laptop, mobile phones, PDA, etc., makes the application more
challenging. The mobile nodes are vulnerable to security attacks. To protect the ad hoc network it is
essential to evaluate the trust worthiness. The proposed TWCA is similar to WCA in terms of cluster
formation and cluster head election. However, in WCA security features are not included. The proposed
TWCA is a cluster based trust evaluation, in which the mobile nodes are grouped into clusters with one
cluster head. It establishes trust relationship for the cluster based on the previous transaction result. The
simulation result confirms the efficiency of our scheme than the WCA and SEMC.

—Transverse Flux Machines (TFM) exhibit 3-D flux patterns. Their analysis and design are generally based on 3-D Finite Element Methods (FEM). Previous analytical models were mostly limited to Magnetic Equivalent Circuits (MEC). The analytical model presented in this paper is used to perform extremely fast calculation of the flux linkage and EMF of a TFM. The analytical model uses a combination of the magnetic charge and magnetic imaging techniques to represent magnetic flux distribution within the air gap of a TFM. Furthermore, a suitable method to calculate the flux linkage of the TFM had to be determined to allow EMF calculation. This resulted in an analytical model which obtains a magnetic flux distribution with less than 10% error in the air gap. The calculated EMF, and therefore the flux linkage, is within 15% accuracy compared to the EMF measured for two prototypes.

Energy is indispensable to human existence, and its need is on the increase daily due to technological advancement. In recent times, there is sporadic increase in the development of modern buildings, and these buildings require a cost-effective and sustainable source of energy. Nigeria and some other African countries have major energy shortage issues due to the insufficient power generation and distribution facilities. This energy poverty creates a challenge for the growing population, and as such, it is vital to ensure that the energy supplied to a building is duly optimized and delivered cost effectively. In this study, an energy audit of an eight-floor multipurpose business complex was performed to determine the nature and type of loads within the building. Based on the load profile and energy consumption over a 10-year period, three alternative energy sources (national grid, diesel generator and photovoltaic [PV] system) were considered using various load-sharing ratios. The re...

Call for paper - UGC Listed Journal:International Journal of Ad hoc, sensor & Ubiquitous Computing (IJASUC) is a bi monthly open access peer-reviewed journal provides excellent international forum for sharing knowledge and results in theory, methodology and applications of Ad Hoc & Ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ad hoc, Sensor & Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. Topics of interest include, but are not limited to, the following.

The energy generation and power consuming loads at Brass LNG facility located in Brass Island, Bayelsa State Nigeria were analyzed and compared with expected demand changes and means of minimizing cost and greenhouse gas emission were also proffered with wind and solar energy penetration into the overall power mix. The wind and solar hybrid power generation system reduced the fuel consumption, greenhouse gas emission and noise pollution by the generators and turbine by relieving some of the power plants or reducing their sizes. Economic cost benefit analysis and recovery periods projections made showed that system is economically viable and technically feasible with low recovery time. Christian Okwori MNSE CEng: Energy Audit, Optimization and Management for BrassLNG, Brass Island, Nembe Kingdom, Nigeria. February, 2014 1 Acknowledgement

Air-cooled Data Centers (DCs) require effective thermal management of the servers which can be accomplished by implementing new cooling architectures. Nearly 33% of overall energy consumption is attributed to the cooling infrastructure, which indicates the importance of the specific cooling configuration. Our objective is to compare four emerging and traditional DC cooling architectures, (a) in-row cooling, (b) rack-mountable cooling (RMC), (c) underfloor air delivery (UFAD), and (d) overhead air delivery. Since a first law-based energy analysis of a DC cooling architecture seldom considers irreversibility and component level inefficiency, an exergy-based analysis provides an alternate basis of assessment. We propose a methodology that combines computational fluid dynamics simulations with thermodynamic energy and exergy balances to determine the exergy loss in different components in DC. A dimensionless parameter is identified to characterize the exergy loss as a function of the Peclet number and the dimensionless dead state temperature ratio. The architecture containing RMC unit has the lowest exergy loss. The chiller loss constitutes up to 55% of the overall exergy loss. This analysis facilitates better decision making and design choices for air-cooled DCs based on minimizing thermodynamic irreversibility to lower energy waste.

http://airccse.org/journal/jwmn/0510ijwmn08.pdf Channel estimation for LTE Uplink system by Perceptron neural network http://airccse.org/journal/jwmn/0203ijwmn11.pdf LACBER: New Location Aided Routing Protocol For GPS Scarce Manet http://airccse.org/journal/nsa/0809smn02.pdf Performance Analysis of LS and LMMSE Channel Estimation Techniques for LTE Downlink Systems http://airccse.org/journal/jwmn/1011wmn11.pdf Performance Analysis of On-Demand Routing Protocols for Vehicular Ad-Hoc Networks http://airccse.org/journal/jwmn/0811wmn07.pdf An Intelligent Network Selection Strategy Based on MADM Methods in Heterogeneous Networks http://airccse.org/journal/jwmn/0212wmn06.pdf Zigbee Based Voice Controlled Wireless Smart Home System http://airccse.org/journal/jwmn/6114ijwmn04.pdf Vertical Handoff In Wlan-Wimax-Lte Heterogeneous Networks Through Gateway Relocation http://airccse.org/journal/jwmn/0812wmn15.pdf Mobile Agent Based Congestion Control Using AODV Routing Protocol Technique for Mobile Ad-Hoc Network http://airccse.org/journal/jwmn/0412wmn20.pdf Optimization of Energy Consumption for OLSR Routing Protocol in MANET http://airccse.org/journal/jwmn/0212wmn19.pdf

Heat exchanger network synthesis Synheat model Bilevel optimization MINLP Grouping of process streams Aggregate streams a b s t r a c t In this work we present a bilevel optimization method for simultaneous synthesis of heat exchanger networks (HENS). The results show that compared to a similar method using the same superstructure the presented method can provide comparative solutions to HENS problems with reduced calculation effort especially for larger problems. Hence the value of this work is a good way of simplifying a HENS problem so that HENS problems can be solved efficiently with good results. The presented method combines four submodels into an overall method by using grouping of streams, aggregate streams and bilevel optimization. The idea of the method is to decompose the set of binary variables i.e. the variables that define the existence of heat exchanger matches, into two separate problems. Three different HENS examples from the literature are solved.

The energy generation and power consuming loads at Brass LNG facility located in Brass Island, Bayelsa State Nigeria were analyzed and compared with expected demand changes and means of minimizing cost and greenhouse gas emission were also proffered with wind and solar energy penetration into the overall power mix. The wind and solar hybrid power generation system reduced the fuel consumption, greenhouse gas emission and noise pollution by the generators and turbine by relieving some of the power plants or reducing their sizes. Economic cost benefit analysis and recovery periods projections made showed that system is economically viable and technically feasible with low recovery time. Christian Okwori MNSE CEng: Energy Audit, Optimization and Management for BrassLNG, Brass Island, Nembe Kingdom, Nigeria. February, 2014.

Research and Development projects The rising cost of energy and the growing concern over climate change and global warming have led to research and development for new technologies aimed, among other things, at reducing the environmental impact of energy production and consumption. Now, scientists involved in energy R&D are interested in photovoltaic cells, which convert sunlight to electricity, and materials for batteries applied in storage systems and electric vehicles. Innovative materials can open new design spaces for high-performance and renewable energy technology manufacturing. In this document, I will introduce my research projects. Its focus is in three areas, which are batteries, photovoltaic, and energetic optimized systems.

For most of the applications that make use of a dedicated vector coprocessor, its resources are not highly utilized due to the lack of sustained data parallelism which often occurs due to vector-length variations in dynamic environments. The motivation of our work stems from (a) the mandate for multicore designs to make efficient use of on-chip resources for low power and high performance; (b) the omnipresence of vector operations in high-performance scientific and emerging embedded applications; (c) the need to often handle a variety of vector sizes; and (d) vector kernels in application suites may have diverse computation needs. We present a robust design framework for vector coprocessor sharing in multicore environments that maximizes vector unit utilization and performance at substantially reduced energy costs. For our adaptive vector unit, which is attached to multiple cores, we propose three basic shared working policies that enforce coarse-grain, fine-grain and vector-lane sharing. We benchmark these vector coprocessor sharing policies for a dual-core system and evaluate them using the floating-point performance, resource utilization, and power/energy consumption metrics. Benchmarking for FIR filtering, FFT, matrix multiplication and LU factorization shows that these coprocessor sharing policies yield high utilization and performance with low energy costs. The proposed policies provide 1.2-2 speedups and reduce the energy needs by about 50% as compared to a system having a single core with an attached vector coprocessor. With the performance expressed in clock cycles, the sharing policies demonstrate 3.62-7.92 speedups compared to optimized Xeon runs. We also introduce performance and empirical power models that can be used by the runtime system to estimate the effectiveness of each policy in a hybrid system that can simultaneously implement this suite of shared coprocessor policies.

Abstract In this work, we use an unequal energy distribution algorithm, with which we succeed to extend network lifetime. In the sequel, we, we provide the best effort coverage by arranging the nodes using topology control principles. We formulate an optimization problem and define an objective function that incorporates both network coverage and lifetime that should be both maximized. Such a complex problem can be solved in polynomial time through Simulated Annealing (SA). An updated topology is evaluated in each convergence point and a near optimal node placement together with near optimal unequal energy allocation charge scheme is achieved. Results reveal that the proposed near optimal topology leads to greater coverage and lifetime as compared to several random deployments. We complete this work by providing a reliability study of the results, which is carried out by analysing the survival function of the derived statistical propertied of the proposed objective function.

In recent years, the employment of smart mobile phones has increased enormously and are concerned as an area of human life. Smartphones are capable to support immense range of complicated and intensive applications results shortened power capability and fewer performance. Mobile cloud computing is the newly rising paradigm integrates the features of cloud computing and mobile computing to beat the constraints of mobile devices. Mobile cloud computing employs computational offloading that migrates the computations from mobile devices to remote servers. In this paper, a novel model is proposed for dynamic task offloading to attain the energy optimization and better performance for mobile applications in the cloud environment. The paper proposed an optimum offloading algorithm by introducing new criteria such as benchmarking for offloading decision making. It also supports the concept of partitioning to divide the computing problem into various sub-problems. These sub-problems can be e...

Exploiting wind-energy is one possible way to extend flight duration for Unmanned Arial Vehicles. Wind-energy can also be used to minimise energy consumption for a planned path. In this paper, we consider uncertain time-varying wind fields and plan a path through them. A Gaussian distribution is used to determine uncertainty in the Time-varying wind fields. We use Markov Decision Process to plan a path based upon the uncertainty of Gaussian distribution. Simulation results that compare the direct line of flight between start and target point and our planned path for energy consumption and time of travel are presented. The result is a robust path using the most visited cell while sampling the Gaussian distribution of the wind field in each cell.

In recent years, the employment of smart mobile phones has increased enormously and are concerned as an area of human life. Smartphones are capable to support immense range of complicated and intensive applications results shortened power capability and fewer performance. Mobile cloud computing is the newly rising paradigm integrates the features of cloud computing and mobile computing to beat the constraints of mobile devices. Mobile cloud computing employs computational offloading that migrates the computations from mobile devices to remote servers. In this paper, a novel model is proposed for dynamic task offloading to attain the energy optimization and better performance for mobile applications in the cloud environment. The paper proposed an optimum offloading algorithm by introducing new criteria such as benchmarking for offloading decision making. It also supports the concept of partitioning to divide the computing problem into various sub-problems. These sub-problems can be executed parallelly on mobile device and cloud. Performance evaluation results proved that the proposed model can reduce around 20% to 53% energy for low complexity problems and up to 98% for high complexity problems.

For most of the applications that make use of a dedicated vector coprocessor, its resources are not highly utilized due to the lack of sustained data parallelism which often occurs due to vector-length variations in dynamic environments. The motivation of our work stems from: (a) the mandate for multicore designs to make efficient use of on-chip resources for low power and high performance; (b) the omnipresence of vector operations in high-performance scientific and emerging embedded applications; (c) the need to often handle a variety of vector sizes; and (d) vector kernels in application suites may have diverse computation needs. We present a robust design framework for vector coprocessor sharing in multicore environments that maximizes vector unit utilization and performance at substantially reduced energy costs. For our adaptive vector unit, which is attached to multiple cores, we propose three basic shared working policies that enforce coarse-grain, fine-grain, and vector-lane ...

Limited hardware capabilities and very limited battery power supply are the two main constraints that arise because of small size and low cost of the wireless sensor nodes. Power optimization is highly desired at all the levels in order to have a long lived Wireless Sensor Network (WSN). Prolonging the life span of the network is the prime focus in highly energy constrained wireless sensor networks. Sufficient number of active nodes can only ensure proper coverage of the sensing field and connectivity of the network. If large number of wireless sensor nodes get their batteries depleted over a short time span then it is not possible to maintain the network. In order to have long lived network it is mandatory to have long lived sensor nodes and hence power optimization at node level becomes equally important as power optimization at network level. In this paper need for a dynamically adaptive sensor node is signified in order to optimize power at individual nodes along with the reduction in data loss due to buffer congestion. We have analyzed a sensor node with fixed service rate (processing rate and transmission rate) and a sensor node with variable service rates for its power consumption and data loss in small sized buffers under varying traffic (workload) conditions. For variable processing rate Dynamic Voltage Frequency Scaling (DVFS) technique is considered and for variable transmission rate Dynamic Modulation Scaling (DMS) technique is considered. Comparing the results of a dynamically adaptive sensor node with that of a fixed service rate sensor node shows improvement in the lifetime of node as well as reduction in the data loss due to buffer congestion. Further we have tried to coordinate the service rates of computation unit and communication unit on a sensor node which give rise to Coordinated Adaptive Power (CAP) management. The main objective of CAP Management is to save the power during normal periods and reduce the data loss due to buffer congestion (overflow) during catastrophic periods. With CAP management we are trying to adaptively change the power consumption of sensor nodes. Power consumption of processing unit and communication unit are coordinated together and changed adaptively with respect to the workload. Coordination between processing and communication subunits results in better energy optimization as well as possible data loss before transmission because of limited buffer sizes can be avoided.

La propuesta persigue diseñar, probar y validar metodos para la recolección de semillas en parcelas ò trabajaderos ubicadas en dos ò mas ejidos costeros a la Bahìa de Chetumal “Santuario del Manatí”y desarrollar y aplicar a nivel laboratorio y planta piloto la tecnologìa para la producción y almacenamiento de semillas forestales en un laboratorio propiedad de los ejidatarios participantes, estratègicamente ubicado para la exitosa difusiòn y comercializaciòn del producto

Position control system of moderate precision based on 'forced dynamics control' for the drive with significant vibration modes is described. To exploit the only position sensor on the motor side, all necessary control variables are estimated in observers based on motor position and stator current measurements. The designed controller is of a cascade structure, comprising an inner speed control loop, which respects vector control principles and an outer position control loop, which is designed to control load angle with prescribed dynamics in the presence of flexible modes. Simulations of the overall control system indicate that the proposed control system exhibits the desired robustness and therefore warrants further development and experimental investigation. Prisilno upravljanje dinamikom pogona elastičnog zgloba s jednim senzorom pozicije rotora. U radu je opisano upravljanje sustavom pozicioniranja srednje preciznosti s izraženim vibracijskim modovima korišten-jem metodologije prisilnog upravljanja dinamikom. Kako bi se iskoristio senzor pozicije na strani motora, sve potrebne varijable stanja estimiraju se na temelju mjerenja pozicije motora i statorskih struja. Projektirani regulator je kaskadne strukture, s unutarnjom petljom po brzini vrtnje koja se temelji na principima vektorskog upravljanja, i vanjskom petljom po poziciji za upravljanje kutom tereta s definiranom dinamikom u prisustvu slabo prigušenih modova. Simulacijski rezultati cjelokupnog sustava upravljanja potvrîuju da predloženi sustav upravljanja posje-duje željenu robusnost i time opravdava budu´ci razvoj i eksperimentalna istraživanja. Ključne riječi: prisilno upravljanje dinamikom, obzerveri, upravljanje pozicijom, bezsenzorsko upravljanje

Large-scale design optimization of electric machines is oftentimes practiced to achieve a set of objectives, such as the minimization of cost and power loss, under a set of constraints, such as maximum permissible torque ripple. Accordingly, the design optimization of electric machines can be regarded as a constrained optimization problem (COP). Evolutionary algorithms (EAs) used in the design optimization of electric machines including Differential Evolution (DE), which has received considerable attention during recent years, are unconstrained optimization methods that need additional mechanisms to handle COPs. In this paper, a new optimization algorithm that features Combined Multi-objective Optimization with Differential Evolution (CMODE) has been developed and implemented in the design optimization of electric machines. A thorough comparison is conducted between the two counterpart optimization algorithms, CMODE and DE, to demonstrate CMODE’s superiority in terms of convergence rate, diversity and high definition of the resulting Pareto fronts, and its more effective constraint handling. More importantly, CMODE requires a lesser number of simultaneous processing units which makes its implementation best suited for state-of-the-art desktop computers reducing the need for High Performance Computing (HPC) systems and associated software licenses.

Germany’s Friedrich-Alexander-University Erlangen-Nürnberg (FAU) invites young scientists from around the world to enter the first ever FAU Open Research Challenge. The contest consists of three parallel challenges in three of FAU’s major research areas:
1) Electronics, Information and Communication: Digital Forensics
2) Energy, Environment and Climate: Discrete Optimization
3) Optics and Optical Technologies: Holography.

Network and collaborate in international teams, probe your ideas and skills. The winning teams of each of the three Challenges will receive an all-expenses paid trip to visit FAU and the region.

Join this community of young researchers from all over the world in tackling the research challenges!