This book is part of a larger project called CiQuSo. The aim of CiQuSo is to maximize solar thermal utilisation in buildings and to optimize the shifting of loads within and between buildings within a city center. The work deals with the modeling of a multi-family house in Austria with the simulation software TRNSYS. The model consists of various necessary components such as Solar Collector (SC), Heat Exchanger (HX), Primary storage tank (PS), Auxiliary Heater (AUX), Domestic Hot Water (DHW), Space Heating (SH), Circulation pipes (Circ), District Heating (DH) and Pumps. After the model is built, various simulations with different settings were done. The simulation results will be later used for input in the training of a black box model needed to be created. This black box is called "District Algorithm". Through the District Algorithm, one can perform various simulations, for different building types, different loads etc. The DH has a very important role since it can be both supportive to the building's loads or be supported by the buildings surplus heat. The DH functions as an "infinite storage tank" for the surplus heat generated from solar thermal collectors.
From the inventor of an all-optical Positron Accelerator which promises to revolutionize the applications of high-energy antimatter beams and the pioneer of non-linear ion-wake model which has been experimentally confirmed by the E-224 project at the SLAC national Lab in collaboration with Downer group at Univ. of Texas Austin. The invention of this author which stems from this dissertation is summarized as follows. An all-optical centimeter-scale laser-plasma positron accelerator is modeled to produce quasi-monoenergetic beams with tunable ultrarelativistic energies. A new principle elucidated here describes the trapping of divergent positrons that are part of a laser-driven electromagnetic shower with a large energy spread and their acceleration into a quasimonoenergetic positron beam in a laser-driven plasma wave. Proof of this principle using analysis and particle-in-cell simulations demonstrates that, under limits defined here, existing lasers can accelerate hundreds of MeV pC quasi-monoenergetic positron bunches. By providing an affordable alternative to kilometer-scale radio-frequency accelerators, this compact positron accelerator opens up new avenues of research.
In this project work, we proposed a fractional SEITR order model to study the transmission dynamics of Myiasis. We showed the existence of the equilibrium states. The basic reproduction number of the model was evaluated in terms of parameters in the model using the next generation matrix approach. We provided the conditions for the stability of the disease-free and the endemic equilibrium points. Also a detailed stability analysis of the model was carried out. Also, numerical simulations of the model were carried out using Adams-type predictor-corrector method and the project provided a theoretical basis to control the spread of Myiasis.
Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools.The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as "dynamic scheduling" or "integrated project management and control." It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows:Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project's time and budget objectives.Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project's time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives.Project Control: Measure and analyze the project's performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as "dynamic scheduling") which allows project managers to plan, monitor, and control projects while delivering them on time and within budgetStudy different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM)Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or "dynamic scheduling") via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles
In response to Executive Order S-3-05, an evaluation of the implications to California of possible climate changes was undertaken using a scenario-based approach. The "Scenarios Project" investigated projected impacts of climate change on six sectors in the California region. The investigation considered the early, middle and later portions of the twenty-first century, guided by a set of IPCC Fourth Assessment global climate model runs forced by higher and lower greenhouse gas emission scenarios. Each of these climate simulations produce substantial impacts in California that would require adaptations from present practices or status. The most severe impacts could be avoided, however, if emissions can be held near the lower end of global greenhouse gas emissions scenarios.Reprinted from Climatic Change, Vol. 109: Supplement 1 (2011)
In this book, scientists from eleven countries summarize the results of an EU project (CLIME) that explored the effects of observed and projected changes in the climate on the dynamics of lakes in Northern, Western and Central Europe. Historical measurements from eighteen sites were used to compare the seasonal dynamics of the lakes and to assess their sensitivity to local, regional and global-scale changes in the weather. Simulations using a common set of water quality models, perturbed by six climate-change scenarios, were then used to assess the uncertainties associated with the projected changes in the climate. The book includes chapters on the phenology and modelling of lake ice, the supply and recycling of nitrogen and phosphorus, the flux of dissolved organic carbon and the growth and the seasonal succession of phytoplankton. There are also chapters on the coherent responses of lakes to changes in the circulation of the atmosphere, the development of a web-based Decision Support System and the implications of climate change for the Water Framework Directive.
Following the very successful Motion in Games event in June 2008, we or- nized the Second International Workshop on Motion in Games (MIG) during November 21-24, 2009 in Zeist, The Netherlands. Games have become a very important medium for both education and - tertainment. Motion plays a crucial role in computer games. Characters move around, objects are manipulated or move due to physical constraints, entities are animated, and the camera moves through the scene. Even the motion of the player nowadays is used as input to games. Motion is currently studied in many di?erent areas of research, including graphics and animation, game technology, robotics, simulation, computer vision, and also physics, psychology, and urban studies. Cross-fertilizationbetween these communities can considerably advance the state of the art in this area. The goal of the workshop Motion in Games is to bring together researchers from this variety of ?elds to present the most recent results and to initiate collaboration. The workshop is organized by the Dutch research project GATE. In total, the workshop this year consisted of 27 high-quality presentations by a selection of internationally renownedspeakers in the ?eld of games and simulations. We were extremely pleased with the quality of the contributions to the MIG workshop and we look forward to organizing a follow-up MIG event.
Developments such as ammonia-absorption cooling of water as a means to capture more heat has enhanced the potential for low-temperature solar energy capture. This bodes well for virtually pollution-free cooling in addition to power generation. Organic Rankine Cycle (ORC) has also been considered for the generation of electricity from these energy sources. Organic Rankine Cycle (ORC) is an energy technology that has been developed in recent years and uses an organic compound as the working fluid. The ORC can be driven by heat sources such as low-temperature groundwater, waste heat recovery and solar heat. This project proposes to study by the use of computer simulations and experimental tests, the possibility of applying a combination of the Organic Rankine Cycle technology with a chilled absorption (ammonia/water) driven by solar heat to generate power and cooling. Solar energy as an energy source is considered more environmentally friendly compared with current fossil fuels, but it relies heavily on the availability of input energy (Solar)
This book deals with the design and optimization of the bucket elevator using the discrete element method (DEM). It describes the underlying scientific basis for the design of transport equipment using computer simulations and is focused on issues relevant to the industrial sector, mechanical engineering, and the transport, treatment, measurement, and storage of bulk materials. It presents solutions for mitigating bulk material supply chain interruptions due to process malfunctions and failures, utilizing research on monitoring and evaluating of the dynamic processes of particulate matter.The aim of the book is to help readers new to the field with the design of innovative devices. Imparting practical information aimed at saving time and money in project design, the book is ideal for engineers, designers, and researchers concerned with all aspects of bulk materials.Introduces and explains fully the Discrete Element Method using measured values as inputs for the method,Shows whether calculated simulations and real measured values models can be used for design,Illustrates how to validate, calibrate, and optimize the dynamic processes of bulk elevators,Explains how to test transport and storage equipment before it is produced using dynamic simulation of material flow on transport lines, saving time and money.