594,592 research outputs found
Plant Information Management System Using OSIsoft PI System: A Case Study of Cilacap Power Plant Units 1 and 2
In the dynamic industrial sector, the ability to combine and manage data from various sources is essential. This study focuses on the utilization of the PI System to integrate operational data from multiple data sources at power plants, facilitating data driven decision making and enhancing operational efficiency. The application of the PI System in collecting data from Distributed Control Systems (DCS) and asset management systems like Maximo is examined, as well as its potential for integrating data from other power plant units. The study utilizes systems analysis methods to understand the potential of data integration in improving operational visibility and control. Findings from testing reveal that effective data integration can extend monitoring and management capabilities, indicating an overall improvement in operational performance. This study contributes to the literature on industrial data management by demonstrating the effective use of the PI System as a comprehensive tool for integrating data from various systems within power plants. It showcases the system's adaptability in enhancing operational decision-making and providing a cohesive platform for real-time performance monitoring. Additionally, the research offers insights into the practical application of systems analysis methods in the context of power plant operations, contributing to the ongoing discourse on digital transformation in the energy sector
The Chandra Source Catalog
The Chandra Source Catalog (CSC) is a general purpose virtual X-ray
astrophysics facility that provides access to a carefully selected set of
generally useful quantities for individual X-ray sources, and is designed to
satisfy the needs of a broad-based group of scientists, including those who may
be less familiar with astronomical data analysis in the X-ray regime. The first
release of the CSC includes information about 94,676 distinct X-ray sources
detected in a subset of public ACIS imaging observations from roughly the first
eight years of the Chandra mission. This release of the catalog includes point
and compact sources with observed spatial extents <~ 30''. The catalog (1)
provides access to the best estimates of the X-ray source properties for
detected sources, with good scientific fidelity, and directly supports
scientific analysis using the individual source data; (2) facilitates analysis
of a wide range of statistical properties for classes of X-ray sources; and (3)
provides efficient access to calibrated observational data and ancillary data
products for individual X-ray sources, so that users can perform detailed
further analysis using existing tools. The catalog includes real X-ray sources
detected with flux estimates that are at least 3 times their estimated 1 sigma
uncertainties in at least one energy band, while maintaining the number of
spurious sources at a level of <~ 1 false source per field for a 100 ks
observation. For each detected source, the CSC provides commonly tabulated
quantities, including source position, extent, multi-band fluxes, hardness
ratios, and variability statistics, derived from the observations in which the
source is detected. In addition to these traditional catalog elements, for each
X-ray source the CSC includes an extensive set of file-based data products that
can be manipulated interactively.Comment: To appear in The Astrophysical Journal Supplement Series, 53 pages,
27 figure
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Lessons Learned and Next Steps in Energy Efficiency Measurement and Attribution: Energy Savings, Net to Gross, Non-Energy Benefits, and Persistence of Energy Efficiency Behavior
This white paper examines four topics addressing evaluation, measurement, and attribution of direct and indirect effects to energy efficiency and behavioral programs: Estimates of program savings (gross); Net savings derivation through free ridership / net to gross analyses; Indirect non-energy benefits / impacts (e.g., comfort, convenience, emissions, jobs); and, Persistence of savings
Barriers to industrial energy efficiency: a literature review
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A spatial likelihood analysis for MAGIC telescope data
Context. The increase in sensitivity of Imaging Atmospheric Cherenkov
Telescopes (IACTs) has lead to numerous detections of extended -ray
sources at TeV energies, sometimes of sizes comparable to the instrument's
field of view (FoV). This creates a demand for advanced and flexible data
analysis methods, able to extract source information by utilising the photon
counts in the entire FoV.
Aims. We present a new software package, "SkyPrism", aimed at performing 2D
(3D if energy is considered) fits of IACT data, possibly containing multiple
and extended sources, based on sky images binned in energy. Though the
development of this package was focused on the analysis of data collected with
the MAGIC telescopes, it can further be adapted to other instruments, such as
the future Cherenkov Telescope Array (CTA).
Methods. We have developed a set of tools that, apart from sky images (count
maps), compute the instrument response functions (IRFs) of MAGIC (effective
exposure throughout the FoV, point spread function (PSF), energy resolution and
background shape), based on the input data, Monte-Carlo simulations and the
pointing track of the telescopes. With this information, the presented package
can perform a simultaneous maximum likelihood fit of source models of arbitrary
morphology to the sky images providing energy spectra, detection significances,
and upper limits.
Results. We demonstrate that the SkyPrism tool accurately reconstructs the
MAGIC PSF, on and off-axis performance as well as the underlying background. We
further show that for a point source analysis with MAGIC's default
observational settings, SkyPrism gives results compatible with those of the
standard tools while being more flexible and widely applicable.Comment: 13 pages, 10 figure
Small and Medium Enterprises’ Green Energy Strategies for Profitability
Lack of business strategies can negatively impact the generation of green energy, which may hinder business profitability and growth. Managers of small and medium enterprises (SMEs) who struggle to generate green energy to increase profitability are at high risk of their business failure. Grounded in the diffusion of innovation theory, the purpose of this qualitative multiple case study was to explore the business strategies managers of SMEs use to generate green energy to increase profitability. The participants were three SME managers in three energy companies in Lagos, Nigeria, who effectively used business strategies to generate green energy to increase profitability. Sources for data collection were semistructured interviews, company archival documents, and field notes. Data analysis involved the use of thematic analysis. Four themes emerged: financing support, renewable energy technology and efficiency systems, education and communication, and customer service and quality of service. A key recommendation is for SME owners to organize seminars and workshops for managers on effective strategies to generate green energy to increase profitability and sustain their businesses. The implications for positive social change include the potential for managers of SMEs to create job opportunities, provide social amenities and welfare, promote a clean environment, and support the economic development of the regional communities
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