In Uppsala, Sweden, Vattenfall has a combined heat and power plant. On the premises there is an engineering workshop with old fluorescent and mercury lamps that need to be replaced. This provides a great opportunity to save energy and money by installing more efficient lighting. The main purpose of this study was to present two functional and energy efficient lighting systems including control system. The lighting systems were designed by investigating the working environment, measuring illuminance and by simulations in the software DIALux. Additionally Life Cycle Cost (LCC) was used as an instrument of comparison. One alternative was designed using mainly modern T5 fluorescent lighting. For the other alternative powerful LED-lamps were chosen as the primary light source. The simulations showed the two alternatives to be equally good in regard to performance and energy saving potential. With sustained illuminance level the installed power of both systems was around 34 kW ascompared to 54 kW, the estimated value of the existing lighting system. The LCC, however, differed significantly with the fluorescent alternative having a total cost of 1.1 million SEK over a 20 year period while the same number for the LED alternative being 2.2 million SEK. The difference in LCC makes fluorescent lighting the preferable alternative. The present consumption is estimated to 142 MWh. The fluorescent lighting alternative would have an approximated energy consumption of 78.6 MWh including a control system, giving an energy saving potential of 45 %.

The aim of this thesis was to develop a methodology to systematically investigate the effect of different procurement options on the outcome of a construction project. This methodology combined the qualitative analysis based on experts' performance assessment of each procurement option with quantitative analyses of generic process models for each option, in order to perform a comprehensive analysis of different procurement alternatives. This methodology was further applied to the specific problem of this research which was to assess the performance of Commissioning Delivery Systems (CDS). The goal was to use the findings from the study to provide a comparison between CDS, and assist Construction Owners in identifying the appropriate commissioning delivery option for their project. The process of each CDS was modeled, and systematic differences between different options were analyzed. Five major internal performance aspects of the commissioning process were identified based on literature: PAi1: Communication; PAi2: Validation; PAi3: Collaboration; PAi4: Integration; and PAi5: Integrity. These performance aspects were used as a basis for a Delphi study to obtain commissioning experts assessment of each CDS. Fourteen experts, representing different disciplines in the construction industry, participated in three phases of the Delphi study. A statistical measure was used to validate the expert performance assessments by measuring their level of consensus. Experts did not show any agreement on two performance aspects of Communication and Integration. These aspects were further investigated through quantitative analyses of process models. The developed methodology proved to be a valuable technique in analyzing the effect of procurement options on the outcome of a construction project. Based on the findings of the study, Owner-led Commissioning presented a higher performance rating than Designer-led Commissioning in four out of five performance aspects. Hence, Owner-led Commissioning is identified as a better alternative for procuring commissioning services on construction projects. Designer-led Commissioning presented a higher Communication performance than Owner-led Commissioning. At the same time, the Communication performance of both delivery options was very poor, which further indicates communication difficulties in current commissioning practices. Therefore, this study suggests a more-thorough investigation of the Communication aspect of commissioning process as a follow-up investigation.

Current global efforts for energy conservation and optimization are focused on improvements in energy supply and production systems, and on encouraging the adoption of energy-efficient devices and equipment. However, systematic assessments of economic and technical implications when adopting energy-efficient alternative systems in buildings have not yet been explored thoroughly. The uncertainty about the consequences of investing in alternative energy-efficient systems has led to a prolonged utilization of obsolete building systems (underperforming HVAC systems, inefficient lighting systems, badly maintained and equipment, and so forth). This has led to overall poor energy efficiency, creating considerable burden on the building operation budget. This research discusses the procedure for formulating an investment strategy to improve existing building energy performance. The approach is suitable for large building portfolios where a plethora of potential refurbishment interventions can be considered. This makes our approach especially suited for use on university campuses and most of this report will focus on that particular application utilization protocols especially for use on campuses. This investment model only looks at the energy related savings versus investments; it is well understood that the ultimate selection of the optimal set of improvement options of a portfolio will be determined by additional considerations, such as overall value, occupant satisfaction, productivity improvements, aesthetics, etc. Nevertheless, many campus managers are confronted with the question how much energy they can save with a given investment amount. This is exactly what our approach helps to answer. The investment optimization strategy is implemented in software "InvEnergy," which systematically calculates the costs and benefits of all possible building-technology pairings, taking uncertainties in the saving/investment calculations and estimates into account. This tool empowers decision makers in facility management to make complex investment decisions during continuous building commissioning.

In this thesis I provide general guidelines for a commercial building owner’s decision making process for heating, ventilation, and air-conditioning (HVAC) system energy efficiency projects, discuss an example HVAC project at an existing building, and recommend the most energy-efficient, cost-effective project option. First, a building’s HVAC system’s inefficiencies are identified. The systems and the components can be investigated to understand the nature of the operations. In the building owner’s interests, possible alternatives can be developed to address the systems with improvements. Consulting engineers, contractors, and other building professionals can assist in this process. There are necessary engineering and construction considerations for defining realistic project alternatives. With the alternatives, there are costs, benefits, and trade-offs. The costs, which mainly include the investment and the operational costs, and the benefits, which mainly include the available financial incentives, defined in dollars, are identified for the alternatives. The alternatives can be evaluated with Building Life Cycle Cost (BLCC) software. In this evaluation the net present-value (NPV) method is used to rank the alternatives. Then, the highest-ranking, lowest life-cycle cost, alternative is recommended for the owner. In the example, an existing commercial building’s HVAC systems are considered. The construction plans, the facilities records, and the existing field conditions were investigated and analyzed. A few operational inefficiencies were identified. To address two of these existing inefficiencies, there were alternatives considered to replace the standard-efficiency air handling unit motors with premium-efficiency motors and to renovate the ventilation system with an energy recovery wheel. The investment costs, the available rebates, the net annual energy savings, and the energy and other operational costs were estimated, over a 30-year study period, for each of these alternatives, and compared to the costs of the existing system. The BLCC evaluations were performed across a range of discount rates in the present-value calculations. Based on the lowest present-value life-cycle cost reports, the premium-efficiency motor replacement project only is recommended. / text

In the United States, 40% of energy use was for electricity generation in 2011, but two thirds of the energy used to produce electricity was lost as heat. Combined heat and power systems are an energy technology that provides electrical and thermal energy at high efficiencies by utilizing excess heat from the process of electricity generation. This technology can offer a decentralized method of energy generation for urban regions which can provide a more reliable, resilient and efficient power supply, and has a lower impact on the environment compared to certain centralized electricity generation systems. In order for the use of combined heat and power systems to become more widespread and mainstream, studies must be performed which analyze their use in various conditions and applications. This work examines the use of a combined heat and power system with a microturbine as the prime mover in residential and commercial scenarios and analyzes the technical and economic feasibility of various system configurations. Energy models are developed for R1, R6 and 2-story office building scenarios using eQUEST, and these results give the electrical and thermal energy requirements for each building. Combined heat and power system models are then developed and presented for each scenario, and the building energy requirements and system component sizes available are considered in order to determine the optimal configurations for each system. The combined heat and power system models designed for each scenario are analyzed to find energy savings, water impacts, and emissions impacts of the system, and each model is examined for economic and environmental feasibility. The models created provide information on the most technically and economically efficient configurations of combined heat and power systems for each scenario examined. Data on system component sizing, system efficiencies, and environmental impacts of each system were determined, as well as how these scenarios compared to the use of traditional centralized energy systems. Combined heat and power has the potential to significantly improve the resiliency, reliability and efficiency of the current energy system in the U.S., and by studying and modeling its uses we more completely understand its function in a range of scenarios and can deploy the systems in a greater number of environments and applications.

This thesis investigates particular topics in advanced motion control of two distinct mechanical systems: human-like motion control of redundant robot manipulators and advanced sensing and control for energy-efficient operation of electromagnetic devices. Control of robot manipulators for human-like motions has been one of challenging topics in robot control for over half a century. The first part of this thesis considers methods that exploits robot manipulators??? degrees of freedom for such purposes. Jacobian transpose control law is investigated as one of the well-known controllers and sufficient conditions for its universal convergence are derived by using concepts of ???stability on a manifold??? and ???transferability to a sub-manifold???. Firstly, a modification on this method is proposed to enhance the rectilinear trajectory of the robot end-effector. Secondly, an abridged Jacobian controller is proposed that exploits passive control of joints to reduce the attended degrees of freedom of the system. Finally, the application of minimally-attended controller for human-like motion is introduced. Electromagnetic (EM) access control systems are one of growing electronic systems which are used in applications where conventional mechanical locks may not guarantee the expected safety of the peripheral doors of buildings. In the second part of this thesis, an intelligent EM unit is introduced which recruits the selfsensing capability of the original EM block for detection purposes. The proposed EM device optimizes its energy consumption through a control strategy which regulates the supply to the system upon detection of any eminent disturbance. Therefore, it draws a very small current when the full power is not needed. The performance of the proposed control strategy was evaluated based on a standard safety requirement for EM locking mechanisms. For a particular EM model, the proposed method is verified to realize a 75% reduction in the power consumption.

As the trends towards decentralization, miniaturization, and longevity of deployment continue in many domains, power management has become increasingly important. In this work, we develop power-aware control strategies for wireless sensor networks to improve the lifetime of the network and to ensure that the desired performance is guaranteed. For the case of static networks (networks of agents with no mobility), we identify the problem of the effects of power variations on the performance of an individual sensing device and on the entire network. To address this problem in a randomly deployed sensor network comprising of sensing devices whose sensing range is a function of transmitted power, we propose power-aware controllers to compensate for the variations in available power and maintain desired performance. We also propose a novel energy-efficient sleep-scheduling scheme that is random in nature and allows limited coordination among neighboring sensors for making switching decisions. This scheme is based on the concept of a hard-core point process from stochastic geometry, in which neighboring points are allowed to interact with each other through some predefined interaction laws. For the case of mobile networks (networks of agents with mobility), we propose a solid framework for distributed power-aware mobility strategies that can achieve any desired global objective while minimizing total energy consumption. This goal is achieved by first exploring fundamental trade-offs among various modes of operations of mobile devices and then exploiting these trade-offs for minimizing energy consumption. Through this framework, a whole class of decentralized power-aware controllers emerge for solving canonical problems in multi-agent systems like connectivity maintenance, rendezvous, and coverage control.

In this study, forced cooling of heat sinks mounted on CPU&rsquo / s was investigated. Heat sink effectiveness, effect of turbulence models, effect of radiation heat transfer and different heat sink geometries were numerically analyzed by commercially available computational fluid dynamics softwares Icepak and Fluent. The numerical results were compared with the experimental data and they were in good agreement. Conjugate heat transfer is simulated for all the electronic cards and packages by solving Navier-Stokes equations. Grid independent, well converged and well posed models were run and the results were compared. The best heat sink geometry is selected and it is modified in order to have lower maximum temperature distribution in the heat sink.

This dissertation addresses two sets of challenges facing processor design as the industry enters the deep sub-micron region of semiconductor design. The first set of challenges relates to the memory bottleneck. As the focus shifts from scaling processor frequency to scaling the number of cores, performance growth demands increasing die area. Scaling the number of cores also places a concurrent area demand in the form of larger caches. While on-chip caches occupy 50-60% of area and consume 20-30% of energy expended on-chip, their performance and energy efficiencies are less than 15% and 1% respectively for a range of benchmarks! The second set of challenges is posed by transistor leakage and process variation (inter-die and intra-die) at future technology nodes. Leakage power is anticipated to increase exponentially and sharply lower defect-free yield with successive technology generations. For performance scaling to continue, cache efficiencies have to improve significantly. This thesis proposes and evaluates a broad family of such improvements. This dissertation first contributes a model for cache efficiencies and finds them to be extremely low - performance efficiencies less than 15% and energy efficiencies in the order of 1%. Studying the sources of inefficiency leads to a framework for efficiency improvement based on two interrelated strategies. The approach for improving energy efficiency primarily relies on sizing the cache to match the application memory footprint during a program phase while powering down all remaining cache sets. Importantly, the sized is fully functional with no references to inactive sets. Improving performance efficiency primarily relies on cache shaping, i.e., changing the placement function and thereby the manner in which memory shares the cache. Sizing and shaping are applied at different phase of the design cycle: i) post-manufacturing & offline, ii) at compile-time, and at iii) run-time. This thesis proposes and explores techniques at each phase collectively realizing a repertoire of techniques for future memory system designers. The techniques use a combination of HW-SW techniques and are demonstrated to provide substantive improvements with modest overheads.

Thesis (M.Sc.)--Lund University, 2001. / Title from title screen of PDF file (viewed 9 Dec. 2003). Includes bibliographical references.