12,692 research outputs found

    Applications of aerospace technology in the electric power industry

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    An overview of the electric power industry, selected NASA contributions to progress in the industry, linkages affecting the transfer and diffusion of technology, and, finally, a perspective on technology transfer issues are presented

    (WP 2007-02) Valuing Environmental Quality: A Space-based Strategy

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    This paper develops and applies a space-based strategy for overcoming the general problem of getting at the demand for non-market goods. It focuses specifically on evaluating one form of environmental quality, distance from EPA designated environmental hazards, via the single-family housing market in the Puget Sound region of Washington State. A spatial two stage hedonic price analysis is used to: (1) estimate the marginal implicit price of distance from air release sites, hazardous waste generators, hazardous waste handlers, superfund sites, and toxic release sites; and (2) estimate a series of demand functions describing the relationship between the price of distance and the quantity consumed. The analysis, which represents a major step forward in the valuation of environmental quality, reveals that the information needed to identify second-stage demand functions is hidden right in plain site — hanging in the aether of the regional housing market

    Development of titanium dioxide nanoparticles/nanosolution for photocatalytic activity

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    Biological and chemical contaminants by man-made activities have been serious global issue. Exposure of these contaminants beyond the limits may result in serious environmental and health problem. Therefore, it is important to develop an effective solution that can be easily utilized by mankind. One of the effective ways to overcome this problem is by using titanium dioxide (TiO2). TiO2 is a well-known photocatalyst that widely used for environmental clean-up due to its ability to decompose organic pollutant and kill bacteria. Although it is proven TiO2 has an advantage to solve this concern, its usefulness unfortunately is limited only under UV light irradiation. Therefore, the aim of this work was to investigate the potential of TiO2 that can be activated under visible light by the incorporation of metal ions (Fe, Ag, Zr and Ag-Zr). In this study, sol-gel method was employed for the synthesis of metal ions incorporated TiO2. XRD analysis revealed that all samples content biphasic anatase-brookite TiO2 of size 3 nm to 5 nm. It was found that the incorporation of these metal ions did not change the morphology of TiO2 but the crystallinity and optical properties were affected. The crystallinity of anatase in the biphasic TiO2 was found to be decreased and favored brookite formation. PL analysis showed metal ions incorporation suppressed the recombination of electron-hole pairs while the band gap energy of TiO2 (3.2 eV) was decreased by the incorporation of Fe (2.46 eV) and Ag (2.86 eV). Among this incorporation, Ag-Zr incorporated TiO2 showed highest performance for methyl orange degradation (93%) under fluorescent xxv light irradiation for 10 h. This follows by Zr-TiO2 (82%), Fe-TiO2 (75%) and Ag�TiO2 (43%). Meanwhile, the highest antibacterial performance was exhibited by Ag�TiO2. TEM images showed that E.coli bacterium was killed within 12 h after treated with Ag-TiO2. The results obtained from the fieldwork study established that Ag-Zr incorporation have excellent performances for VOC removal and antibacterial test. The VOC content after treated with Ag-Zr-TiO2 fulfilled the Industry Code of Practice on Indoor Air Quality 2010 which is lower than 3 ppm. In addition, the percentage of microbes also found to be decrease around 45 % within 5 days of monitoring

    Valuing Environmental Quality: A Space-Based Strategy

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    This paper develops and applies a space-based strategy for overcoming the general problem of getting at the demand for non-market goods. It focuses specifically on evaluating one form of environmental quality, distance from EPA designated environmental hazards, via the single-family housing market in the Puget Sound region of Washington State. A spatial two stage hedonic price analysis is used to: (1) estimate the marginal implicit price of distance from air release sites, hazardous waste generators, hazardous waste handlers, superfund sites, and toxic release sites; and (2) estimate a series of demand functions describing the relationship between the price of distance and the quantity consumed. The analysis, which represents a major step forward in the valuation of environmental quality, reveals that the information needed to identify second-stage demand functions is hidden right in plain site — hanging in the aether of the regional housing market.Environmental Quality, Hedonic Price Analysis

    Magnetohydrodynamics (MHD) Engineering Test Facility (ETF) 200 MWe power plant. Design Requirements Document (DRD)

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    A description and the design requirements for the 200 MWe (nominal) net output MHD Engineering Test Facility (ETF) Conceptual Design, are presented. Performance requirements for the plant are identified and process conditions are indicated at interface stations between the major systems comprising the plant. Also included are the description, functions, interfaces and requirements for each of these major systems. The lastest information (1980-1981) from the MHD technology program are integrated with elements of a conventional steam electric power generating plant

    AI and OR in management of operations: history and trends

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    The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested

    Simple Rules for Targeting CO2 Allowance Allocations to Compensate Firms

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    Policies to cap emissions of carbon dioxide (CO2), such as the recently announced agreement among seven northeastern states, are expected to have important effects on the electricity industry and on the market value of firms that own electricity generation assets. The economics literature finds large efficiency advantages for initial distribution of tradable emissions allowances through an auction so as to direct revenues to tax relief or other public investments. However, an auction raises the costs for the regulated firms. This paper identifies rules for an initial distribution that satisfy a compensation goal for firms that is achieved through free distribution of a portion of the allowances, while maximizing the value of allowances that can be directed to public purposes. The paper employs a detailed simulation model to calculate numerical results for the market value of generation assets under the CO2 cap-and-trade program in the northeastern United States.emissions trading, allowance allocations, electricity, air pollution, auction, grandfathering, output-based allocation, cost-effectiveness, greenhouse gases, climate change, global warming, carbon dioxide, asset value

    June 14, 1997 (Pages 2807-2910)

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    Essays on Energy Economics and Market Structure: Investigating Catalysts for Entry and Exit

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    Broadly defined, this dissertation focused on the roles uncertainty, irreversibility, and environmental regulation played in firm entry and exit decisions in energy markets. A prominent innovation of this work was the integration of real options theory and applied econometric techniques. Uncertain energy prices combined with irreversible sunk costs of entry and exit create an economic benefit in delaying entry or exit, known as an option value. An option value approach to understanding firm decisions presents a more robust framework for capturing the impact of uncertainty and irreversibility on energy market structure. Chapters 1 and 2 utilized this modeling approach, while Chapter 3 used applied econometrics.As a result, this dissertation can be split into two major themes. The first is the role of uncertainty and irreversibility on market entry. Chapter 1 investigated whether a small firm, drilling less than 8 natural gas wells, would have entered the natural gas market during the hydraulic fracturing boom of the 2000s, given historic natural gas prices and reserves. Chapter 1 also examined if technological advances in hydraulic fracturing, horizontal drilling, and 3-D seismic imaging, land lease speculation, or a regime change in natural gas demand drove small firm entry. Each hypothesis was tested using a real options model of market entry and data on natural gas turnover.The second theme involves the role of uncertainty, irreversibility, and environmental regulation on energy market exit. Chapter 2 investigated this theme with both an optimal stopping model and an empirical analysis of the drivers of coal-fired electricity generator retirement. Chapter 2 developed and implemented a real options model of coal-fired generator retirement to back out the net retirement costs implied by the observed timing of nearly 200 retirement decisions between 2009 and 2015. Propensity score matching was utilized to assign a retirement cost for the remaining active fleet of coal generators, and the empirical analysis explored the impact of retirement costs on coal generator retirement decisions. Chapter 3 continued work on the second theme by employing a difference-in-differences identification strategy to determine the impact of mercury regulation on coal-fired electricity generator retirements
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