Rising energy costs should be a concern to contractors, designers, and owners. It is difficult to make a quantity takeoff for energy usage because these costs are imbedded in the materials, equipment, or overhead costs. This research examines energy consumption during the construction process, sets forth methods for recording this energy consumption and establishes a program for the recording and analysis of this data. An energy study of electricity, gasoline, and diesel consumption was made for the construction of three buildings to determine what data was available. After available data was evaluated, and the Energy Data Analysis program developed, three other construction sites were visited to determine how readily energy data can be recorded using the program. Four construction energy phases were identified from this research. The four phases are: 1) site clearing and preparation, 2) building structure, 3) interior finishes, and 4) commissioning. The main type of energy consumption during Phase 1 is diesel fuel for earth moving equipment. The energy uses for Phases 2 and 3 varied considerably among the projects studied and were difficult to quantify. However, the energy use during these phases was low compared to other phases and for many projects may not be economical to evaluate. During Phase 4, electrical energy demand was high due to Heating, Ventilation and Air Conditioning (HVAC) commissioning requirements and power up of all electrical power uses including lighting. These few construction projects are not enough to make definitive conclusions about what percentage of the total project cost is spent on energy. This research found that construction energy costs vary during different phases of the building process and can be a significant part of that phase (as high as 5.7% of the cost). The Visual Basic program developed during this research will facilitate future energy studies on construction sites. When the program is applied to a project, it identifies and quantifies the energy use, and makes predictions as to which project tasks warrant further energy studies.

Because of the fluctuations in incident solar power, outlet power also changes over time (e.g., on an hourly basis or seasonally). If there is a need for a stable power outlet, there are options towards a steady state output of the system. This work is aimed at the development of systematic design procedures for two solar-based power generation strategies. The first is integration of fossil-fuel with the solar system to provide a compensation effect (power backup to supplement the power main source from solar energy). The second is the use of thermal energy storage (TES) systems to save solar energy in a thermal form and use it when solar input decreases. A common TES configuration is the two-tank system which allows the use of the collector heat transfer fluid (HTF) as a storing medium. For the two tanks, one tank has the hot medium (e.g., a molten salt) and the second has the cold storage media. Specifically, the following design challenges are addressed: 1. What is the optimal mix of energy forms to be supplied to the process? 2. What are the optimal scenario and integration mode to deliver the selected energy forms? How should they be integrated among themselves and with the process? 3. What is the optimal design of the energy systems? 4. What is the optimal dynamic strategy for operating the various energy systems? 5. What is the feasibility of using thermal energy storage to this optimum fossil fuel system? The developed procedure includes gathering and generation of relevant solar and climatic data, modeling of the various components of the solar, fossil, and power generation systems, and optimization of several aspects of the hybrid system. A case study is solved to demonstrate the effectiveness and applicability of the devised procedure.

Piezoelectric energy harvesting is the process of taking an external mechanical input and converting it directly into electrical energy via the piezoelectric effect. To determine the power created by a piezoelectric energy harvester, a specific application with defined input and design constraints must first be chosen. The following thesis established a concept design of a hydrokinetic energy harvesting system, the piezoelectric artificial kelp (PAK), which uses piezoelectric materials to harvest coastal ocean waves while having a beneficial impact on the surrounding environment. The harvester design mimics the configuration of sea-kelp, a naturally occurring plant that anchors to the ocean floor and extends into the water column. Underwater currents caused by wave-action result in periodic oscillations in the kelp. In order to determine the average power generated by this design concept, predictive tools were devised that allowed for the determination of the optimized average power produced by the piezoelectric energy harvester. For a stiff energy harvester, the linear differential equations were analytically solved to find an equation for the average power generated as a function of design parameters. These equations were used to compare the effect on power output of the design configuration and piezoelectric material choice between a piezopolymer (PVDF) and a piezoceramic (PZT). The homogeneous bimorph was found to have the optimal design configuration and it was shown that a harvester constructed using PVDF would produce approximately 1.6 times as much power as one using PZT. For a flexible energy harvester, an iterative nonlinear solution technique using an assumed polynomial solution for the local curvature of the energy harvester was used to verify and extend the analytic solutions to large deflections. An energy harvester was built using off-the-shelf piezoelectric elements and tested in a wave tank facility to validate experimentally the voltage and average power predicted by the analytical solution. The iterative code showed the PAK harvester to produce volumetric power on the order of other energy harvesting concepts (17.8 micro [mu]W/cm³). Also, a full-scale PAK harvester approximately ten meters long in typical wave conditions was found to produce approximately one watt of power.

This thesis is to develop a new ocean-wave-energy acquisition system. This system is composed of a float plate, a buoy, a nearly resonant vibrator, a dynamotor, and an oil pressure system. The whole system can be divided into two sub-systems by its function: energy generation system or vibration reduction system. Each of them can generate energy from ocean wave and reduce the vibration of flow plate. After simplifying the dynamic model and optimization analysis, we will discuss with the influence of parameters on the amount of energy and the vibration reduction. Energy generation system want to the maximum power by optimizing system parameters (mass of the buoy, mass of the nearly resonant vibrator, the coefficient of spring, and the coefficient of generator). Here we will use four kinds of optimization methods. In the first three methods, we want to find the suitable parameters to make system to generate the maximum power at an operation of frequency wave. These three methods are different from the request of the relation phase of displacement between the buoy and the nearly resonant vibrator. The fourth method, we want to find the parameters of system, which can generate power evenly at each of frequency in a range of frequency wave motion. The work is done by searching for minimum variance of power. Vibration reduction system can reduce the vibration of float plate by optimizing parameter. After simplifying and making some assumptions, system can be simplified approximately to a vibration absorber at a specific frequency. There is no displacement at that frequency, but there are displacements on the other frequency of the operation range. In order to let system to apply properly in a range of frequency, we find the minimum one that is the maximum displacement in the range of frequency. After optimization design, we can get each result from these two sub-systems. From the first three methods of energy generation system, all energy distributes on the around of operation frequency. There are no frequencies on the others of the operation range. Moreover, the displacement of each body in this system is too large to apply. By the fourth method, energy-frequency curve is evenly on the operation range. Overall, the average of energy is larger than that of frequency of system whose design concept from first three methods. The displacements of each body in this system are small enough to apply. In vibration reduction system, we search the parameters in the optimization methods. The results show that vibration reduction just occurs around the operation frequency and the others in the range not

Thesis (Ph. D.)--Open University. BLDSC no. DX218866.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2002. / Field problem. Includes bibliographical references.

Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Robert E. Looney, Maria Rasmussen. Includes bibliographical references (p. 55-57). Also available online.

<p> Various environmental and economic factors have lead to increased global investment in alternative energy technologies such as solar and wind power. Although methodologies for synchronous generator control are well researched, wind turbines present control systems challenges not presented by traditional generation. The varying nature of wind makes achieving synchronism with the existing electrical power grid a greater challenge. Departing from early use of induction machines, permanent magnet synchronous generators have become the focus of power systems and control systems research into wind energy systems. This is due to their self excited nature, along with their high power density. The problem of grid synchronism is alleviated through the use of high performance power electronic converters. In achievement of the optimal levels of efficiency, advanced control systems techniques oer promise over more traditional approaches. Research into sliding mode control, and linear matrix inequalities with nite time boundedness and H&infin; performance criteria, when applied to the dynamical models of the system, demonstrate the potential of these control methodologies as future avenues for achieving higher levels of performance and eciency in wind energy.</p>

<p> Wind turbines typically rely on feedback controllers to maximize power capture in below-rated conditions and regulate rotor speed during above-rated operation. However, measurements of the approaching wind provided by Light Detection and Ranging (lidar) can be used as part of a preview-based, or feedforward, control system in order to improve rotor speed regulation and reduce structural loads. But the effectiveness of preview-based control depends on how accurately lidar can measure the wind that will interact with the turbine. </p><p> In this thesis, lidar measurement error is determined using a statistical frequency-domain wind field model including wind evolution, or the change in turbulent wind speeds between the time they are measured and when they reach the turbine. Parameters of the National Renewable Energy Laboratory (NREL) 5-MW reference turbine model are used to determine measurement error for a hub-mounted circularly-scanning lidar scenario, based on commercially-available technology, designed to estimate rotor effective uniform and shear wind speed components. By combining the wind field model, lidar model, and turbine parameters, the optimal lidar scan radius and preview distance that yield the minimum mean square measurement error, as well as the resulting minimum achievable error, are found for a variety of wind conditions. With optimized scan scenarios, it is found that relatively low measurement error can be achieved, but the attainable measurement error largely depends on the wind conditions. In addition, the impact of the induction zone, the region upstream of the turbine where the approaching wind speeds are reduced, as well as turbine yaw error on measurement quality is analyzed.</p><p> In order to minimize the mean square measurement error, an optimal measurement prefilter is employed, which depends on statistics of the correlation between the preview measurements and the wind that interacts with the turbine. However, because the wind speeds encountered by the turbine are unknown, a Kalman filter-based wind speed estimator is developed that relies on turbine sensor outputs. Using simulated lidar measurements in conjunction with wind speed estimator outputs based on aeroelastic simulations of the NREL 5-MW turbine model, it is shown how the optimal prefilter can adapt to varying degrees of measurement quality. </p>

Energy and water resources share an important interdependency. Large quantities of energy are required to move, purify, heat, and pressurize water, while large volumes of water are necessary to extract primary energy, refine fuels, and generate electricity. This relationship, commonly referred to as the energy-water nexus, can introduce vulnerabilities to energy and water services when insufficient access to either resource inhibits access to the other. It also creates areas of opportunity, since water conservation can lead to energy conservation and energy conservation can reduce water demand. This dissertation analyzes both sides of the energy-water nexus by (1) quantifying the extent of the relationship between these two resources and (2) identifying strategies for synergistic conservation. It is organized into two prevailing themes: the energy consumed for water services and the water used in the power sector. In Chapter 2, a national assessment of United States' energy consumption for water services is described. This assessment is the first to quantify energy embedded in water at the national scale with a methodology that differentiates consistently between primary and secondary uses of energy for water. The analysis indicates that energy use in the residential, commercial, industrial, and power sectors for direct water and steam services was approximately 12.3 quadrillion BTU or 12.6% of 2010 annual primary energy consumption in the United States. Additional energy was used to generate steam for indirect process heating, space heating, and electricity generation. Chapter 3 explores the potential energy and emissions reductions that might follow regional shifts in residential water heating technologies. Results suggest that the scale of energy and emissions benefits derived from shifts in water heating technologies depends on regional characteristics such as climate, electricity generation mix, water use trends, and population demographics. The largest opportunities for energy and emissions reductions through changes in water heating approaches are in locations with carbon dioxide intensive electricity mixes; however, these are generally areas that are least likely to shift toward more environmentally advantageous devices. In Chapter 4, water withdrawal and consumption rates for 310 electric generation units in Texas are incorporated into a unit commitment and dispatch model of ERCOT to simulate water use at the grid scale for a baseline 2011 case. Then, the potential for water conservation in the power generation sector is explored. Results suggest that the power sector might be a viable target for cost-effective reductions in water withdrawals, but reductions in water consumption are more difficult and more expensive to target. / text