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R
repository.lib.umassd.edu
research
https://repository.lib.umassd.edu/view/pdfCoverPage?instCode=01MA_DM_INST&fil…
..................................................................................8 Figure 2.2: Diversion Hydropower Plant .........................................................................................9 Figure 2.3: Pumped-Storage Plant .................................................................................................10 Figure 3.1(A): PDF VS Discharge for Middle Deerfield ..............................................................26 Figure 3.1(B): PDF VS Discharge for Lower Deerfield ................................................................27 Figure 3.1(C): PDFS of Three Reference Sites Vs Discharge .......................................................27 Figure 3.2: Flow VS PDFs Using Three Different Q70 for Upper Deerfield Site ..........................29 Figure 3.3: LPS Modular Dam LCOE vs Flow Density Data Derived from Three Base Reference Sites ............................................................................................................30 Figure 3.4: LPS Modular Dam LCOE vs FDP Data Derived from Three Base Reference Sites ..31 Figure 3.5: LPS Modular Dam LCOE vs Channel Aspect Ratio (H/width) Data Derived from Three Base Reference Sites .........................................................................................31 Figure 3.6: Linear LPS Modular Dam LCOE Actual Vs Regression Data Derived from Three .34 Figure 3.7: Power Law LPS Modular Dam LCOE Actual Vs Regression Data Derived from Three Base Reference Sites .........................................................................................35 Figure 4.1: Example Inundation Area Polyline Layer in ArcGIS .................................................38 Figure 4.2: Watershed Area Selected throughout the US ..............................................................39 Figure 4.3: Flow Chart for the Calculation of Width.....................................................................42 Figure 4.4: Example Watershed Polygon Points and their Dam Location Point ...........................43 Figure 4.5: Measuring Width from Dam Location ........................................................................43 Figure 5.1: Modular Dam LCOE vs Flow Density Data Derived .................................................45 Figure 5.2: Modular Dam LCOE vs FDP ....................................................................................46 Figure 5.3: Modular Dam LCOE vs H/Width Data .......................................................................46 Figure 5.4: LPS Modular Dam LCOE vs Q30 ...............................................................................47 Figure 5.5: LPS Modular Dam LCOE vs Head .............................................................................48 viii List of Tables Table 2.1: Classification of Power Plant Based on Capacity ........................................................12 Table 2.2: Classification of Power Plant Based on Head ..............................................................14 Table 2.3: Strength and Weakness of Hydropower .......................................................................20 Table 2.4: Advantages and Disadvantages of Modular Dam Design ............................................22 Table 3.1: LCOE values using Power Law Regression .................................................................35 Table 3.2: LCOE values using NREL spreadsheets ......................................................................36 Table 5.1(A): Top Ten of Hydropower sites for the LPS Modular Dams State with the Cost Threshold Across the United States .............................................................................49 Table 5.1(B): Top Ten of
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dolraj.wordpress.ncsu.edu
research
https://dolraj.wordpress.ncsu.edu/files/2018/09/HydroVision-2016-Final.pdf
1 Hydropower Integrated Design and Economic Assessment Tool for Use in Preliminary Feasibility Assessments – Modeling Framework Dol Raj Chalise, Patrick O’Connor, Scott DeNeale, and Connor Waldoch Environmental Sciences Division, Oak Ridge National Laboratory (ORNL) HydroVision International 2016 Abstract Recently, Oak Ridge National Laboratory (ORNL) published a series of initial capital cost equations to support the national-scale economic evaluation for nearly 80 GW of non-powered dam (NPD) and new stream-reach development (NSD) sites across the U.S.. To illustrate how the linked engineering and economic analysis in the model supports the evaluation of site and technology feasibility, this document includes a case study comparing multiple proposed real-world design configurations for a new powerhouse on an existing unpowered Army Corps of Engineers dam. A partial validation on the model’s cost estimating accuracy is performed using information from 17 constructed U.S. projects, showing that modeled initial capital cost estimates are within 50% for 15 projects, within 30% for 10 projects, and within 10% for 6 projects..
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quora.com
article
https://www.quora.com/What-are-the-commercial-software-packages-used-in-a-hyd…
I assume OP wants to know what all Software are used for the operation of a Hydroelectric Power Plant (HEPP). Typically, any HEPP has generation
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psr-inc.com
article
https://www.psr-inc.com/en/software/hera
Home > Software > **HERA – Hydropower and Environmental Resource Assessment**. They organize the main topics of PSR’s activities in the energy sector. Hydropower and Environmental Resource Assessment. ### Complete support for the development of hydropower and pumped-hydro projects, including economic viability assessments, socio-environmental impacts, and integrated decision-making support. HERA is software that supports the **development of hydropower and pumped-hydro storage projects**. It evaluates the hydropower potential of river basins, considering the economic viability of projects, as well as **social and environmental impacts**. HERA contributes to the decision-making process among stakeholders, which is complex as it usually involves conflicting interests, seeking to balance energy production with conservation. ### Engineering design. ### Structure design. Its objective is to select hydropower and pumped-hydro storage (PSH) projects to be developed, also considering other benefits for the electrical system, such as the integration of variable renewable sources and socio-environmental constraints. Praia de Botafogo, 370, 1º andar – 22250-040. Botafogo – Rio de Janeiro/RJ – Brasil.
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mdpi.com
article
https://www.mdpi.com/2073-4441/15/9/1651
Influence of Installation Deviation of Thrust Bearing on Oil Film Flow of 1000 MW Hydraulic Turbine Unit. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. One of the main barriers is the lack of suitable methodology and software able to create a clear view of the SHP potential in the given territory, as well as a complete techno-economic analysis for certain locations. For example, one software is not able to take into account all the specifics of watercourses and plants; another does not have the option of selecting all types of turbines; in others, the calculation models are based on a limited number of equations that do not describe all possible cases; in some, economic analysis is oversimplified, etc.
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etd.lib.metu.edu.tr
research
http://etd.lib.metu.edu.tr/upload/3/12611462/index.pdf
90 xiii LIST OF TABLES TABLES Table 4.1 Types and Province of Sample HEPP Projects............................24 Table 4.2 Types and Province of Testing HEPP Projects............................28 Table 4.3 Ranges of Parameters.............................................................33 Table 4.4 Normalization Procedure of Parameters....................................35 Table 5.1 Analyzed Data Set...................................................................40 Table 5.2 Cost Table of HEPP Project -1..................................................42 Table 5.3 Highly Correlated Variable Pairs and Correlation Coefficient........56 Table 5.4 Parameters of Testing Projects................................................77 Table 5.5 Results of Regression Model Cost Estimation.............................78 Table 5.6 Results of First Neural Network Model Cost Estimation...............79 Table 5.7 Results of Second Neural Network Model Cost Estimation..........80 Table 5.8 Results of Third Neural Network Model Cost Estimation.............81 Table 5.9 Results of NNM and RM Cost Estimations..................................83 Table B.1 Representation of Parameters – Column Matches....................102 Table B.2 Representation of Parameters – Column Matches....................109 xiv LIST OF FIGURES FIGURES Figure 3.1 Views of Atatürk Dam in Turkey...............................................12 Figure 3.2 Tazimina Project in Alaska Example of Run-off River HEPP.........15 Figure 3.3 Components of a HEPP Project.................................................17 Figure 3.4 Typical Cross Sections of Channels...........................................19 Figure 3.5 General Arrangement of The Headpond....................................20 Figure 4.1 Discharge Sustainability Graph of Project 11.............................30 Figure 5.1 Typical Neural Network Architecture Described by Kim et.al (2004)………………………………………………………………49 Figure 5.2 Worksheet Example of Minitab.................................................53 Figure 5.3 Selecting Correlation From Stat Menu.......................................54 Figure 5.4 Selecting Variables in Correlation Dialog Box.............................55 Figure 5.5 Selecting Regression From stat Menu.......................................60 Figure 5.6 Selecting Dependent Variable in Regression Dialog Box.............61 Figure 5.7 Selecting Independent Variable in Regression Dialog Box...........62 Figure 5.8 Regression Analysis Results.....................................................63 Figure 5.9 Information Window in Neural Power.......................................67 xv Figure 5.10 Data Files Module in Neural Power...........................................68 Figure 5.11 Independent Variables of Modeling Projects..............................69 Figure 5.12 Dependent Variables of Modeling Projects.................................69 Figure 5.13 Learning Settlements Window of Learning Module.....................70 Figure 5.14 Learning Configuration Window of Learning Module..................71 Figure 5.15 Layer Properties Window of Learning Settlements.....................72 Figure 5.16 Settlement Arrangements of The Model....................................73 Figure 5.17 View Monitor Window of Learning Settlements..........................75 Figure 5.18 An Example of RMSE Behaviour During Analysis........................75 Figure
I
irena.org
article
https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2012/RE_Technolo…
Cost Analysis of Hydropower List of tables List of figures Table 2.1 Definition of small hydropower by country (MW) 11 Table 2.2 Hydropower resource potentials in selected countries 13 Table 3.1 top ten countries by installed hydropower capacity and generation share, 2010 14 Table 6.1 Sensitivity of the LCoE of hydropower projects to discount rates and economic lifetimes 31 Figure 1.1 renewable power generation cost indicators and boundaries 2 Figure 2.1 typical “low head” hydropower plant with storage 6 Figure 2.2 Working areas of different turbine types 7 Figure 2.3 Comparison of the lifecycle cost of electricity storage systems 10 Figure 2.4 Capacity factors for hydropower projects in the Clean Development Mechanism 11 Figure 2.5 World hydropower technical resource potential 12 Figure 3.1 Hydropower generation by region, 1971 to 2009 15 Figure 4.1 Summary of the installed costs of large-scale hydropower plants from a range of studies 18 Figure 4.2 total installed hydropower cost ranges by country 19 Figure 4.3 Investment costs as a function of installed capacity and turbine head 19 Figure 4.4 Installed capital costs for small hydro in developing countries by capacity 20 Figure 4.5 Cost breakdown of an indicative 500 MW greenfield hydropower project in the united States 22 Figure 4.6 Cost breakdown for small hydro projects in developing countries 22 Figure 4.7 Electro-mechanical equipment for hydro as a function capacity by country (log-scale) 24 Figure 4.8 operations and maintenance costs for small hydro in developing countries 25 Figure 6.1: the minimum to average levelised cost of electricity for small hydropower in the European union 28 Figure 6.2 Levelised cost of electricity for hydropower plants by country and region 29 Figure 6.3 the LCoE of hydropower in the united States 29 Figure 6.4 the LCoE of small hydropower for a range of projects in developing countries 30 ii 1 Cost Analysis of Hydropower 1.
I
info.ornl.gov
official
https://info.ornl.gov/sites/publications/Files/Pub145012.pdf
.........................................................................................43 v ABBREVIATIONS DOE US Department of Energy FRP fiberglass-reinforced polymer HDPE high-density polyethylene HIDEA Hydropower Integrated Design and Economic Analysis LCOE levelized cost of electricity NID National Inventory of Dams NPD non-powered dam ORNL Oak Ridge National Laboratory PAM partitioning around medoids R&D research and development RHT Restoration Hydro Turbine smHIDEA Small Hydropower Integrated Design and Economic Analysis TRL technology readiness level U.S. United States USACE United States Army Corps of Engineers USBR United States Bureau of Reclamation VBA Visual Basic for Applications VLH very low head WPTO Water Power Technologies Office ACKNOWLEDGMENTS Water Power Technologies Office, US Department of Energy The authors acknowledge and appreciate the Water Power Technology Office (WPTO) of the US Department of Energy for funding and oversight support for the project.