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E
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
P
peer.asee.org
article
https://peer.asee.org/excel-analysis-of-combined-cycle-power-plant.pdf
Page 10.602.3 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education” Project Analysis Cadets were arranged in teams of two, and each team was tasked with analyzing the plant at the baseline (prescribed) conditions using an Excel™ spreadsheet template provided by the instructor—whenever thermophysical properties were required, the Thermal Fluids Toolbox was to be utilized, so that no manual data retrieval was required. Page 10.602.6 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education” Conclusion Incorporation of the Thermal Fluids Toolbox add-in to Excel™ allows students to focus on the more important aspects of a design, rather than becoming mired in the minutiae of property “look-ups.” With the proper introduction and orientation to the Toolbox, cadets can gain familiarity and confidence in its use, which will ultimately facilitate their understanding of the functioning of the thermal system(s) under consideration.
Y
youtube.com
video
https://www.youtube.com/watch?v=6WJ2y8ok9go
Design of Water Treatment Plant using Excel Spreadsheet
Water Academy
8029 subscribers
113 likes
6022 views
12 Apr 2025
This excel spreadsheet contains the design of coagulation and flocculation basins, circular and rectangular clarifiers, slow sand filter and rapid sand filters.
Get the spreadsheet: https://www.patreon.com/user/shop/wtp-design-1436150?u=83915893&utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=productshare_creator&utm_content=join_link
📚Discount Coupon: Municipal Water Treatment Design: https://bit.ly/4jo5sZt
Support this YouTube channel and get access to design documents: https://www.patreon.com/user?u=83915893
Chapters:
0:00 Intro
1:31 Coagulation design
12:10 Flocculation design
23:45 Circular clarifier design
26:52 Rectangular clarifier design
28:15 Rapid Sand filtration
33:22 Slow Sand filtration
11 comments
S
scribd.com
article
https://www.scribd.com/document/891769471/Hydropower-Cost-Analysis
# Hydropower Plant Cost Breakdown. ## Uploaded by. AI-enhanced title and description. The document provides a comprehensive analysis of hydropower costs, emphasizing the relationship between safety, time, and cost, as well as the impact of plant size and head on generation costs. It discusses the breakdown of investment costs, the importance of hydrology in financial viability, and the long-term benefits of hydropower projects despite high initial capital costs. Additionally, it highlights the need for accurate cost data to aid government decision-making regarding renewable energy technologies. ## Share this document. ## Footer menu. ## Support. ## Legal. ## Social. ## Get our free apps. Scribd - Download on the App Store. Scribd - Get it on Google Play.
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.
P
ppp.worldbank.org
article
https://ppp.worldbank.org/sites/default/files/2021-10/Hydroelectric%20Power%2…
Technical Risks Hydrological Due to lower or higher-than-expected water flows, floods, unusual seasonal variations Thorough hydrology analysis, contingency margin for output, detailed investigation during feasibility and design phases Geotechnical seismic Due to geological activity structural problems arise Detailed analysis, site-specific design Electro-mechanical equipment performance Due to underperformance as per project specifications Supervision, inspection, quality assurance, reliability tests, guarantees and warranties Construction Due to construction delays Supervision, inspection, quality assurance, reliability tests, guarantees and warranties Operation and maintenance Due to underperformance of O&M Detailed O&M contracts, guarantees and warranties Social Risks Land and water use conflicts Due to conflicts with local water users or downstream riparian, water use Formal agreement with stakeholders, modify design Resettlement and social unrest Due to resettlement, local employment and compensation Formal agreement with stakeholders, modify design Public health and safety risks Due to threats to public safety or health during all project phases Safety management plan, formal agreement with stakeholders, modify project International objection on social, environmental or cultural grounds Develop and carry out strategic communications strategy, modify project Cultural heritage issues Preservation of historically significant sites and artifacts Design pre-project activities to investigate, preserve, or modify project Environmental Risks Water quality Modify project, compensate for impacts Sedimentation Modify project Upstream/downstream flow regime Modify project, compensate for impacts Wetlands protection Modify project, compensate for impacts Biodiversity Modify project, compensate for impacts, pest management Fish habitat Modify project, compensate for impacts A Guide for Developers and Investors HYDROELECTRIC POWER 115 18 Acronyms ADB Asian Development Bank AVR Automatic Voltage Regulator B/C Benefit/Cost ratio BOO Build-Operate-Own BOT Build-Operate-Transfer BREP Balkan Renewable Energy Program CAPEX Capital Expenses DSCR Debt-Service Coverage Ratio E&M Electrical and Mechanical E&S Environmental and Social EIA U.S. Energy Information Administration EP Equator Principles EPC Engineering, Procurement and Construction ESIA Environmental and Social Impact Assessment ESMP Environmental and Social Management Plan ESMS Environmental and Social Management System FDC Flow Duration Curve FIDIC Fédération Internationale des Ingénieurs-Conseils
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
I
info.ornl.gov
official
https://info.ornl.gov/sites/publications/files/Pub53978.pdf
Summary of projects collected from the DOE-EPRI small-hydropower development report Resource Category Project Count Development Stage (count) Capacity (MW) Head (ft) No. of Projects with Breakdown Cost P E C Min Avg Max Min Avg Max NSD 18 15 2 1 0.163 4.25 24 10 68 313 18 NPD 147 118 21 8 0.07 4.52 40 8 77 1,040 147 Canal 36 31 1 4 0.1 2.38 15 21 177 904 36 PSH 1 1 0 0 0.76 0.76 0.76 563 563 563 1 Industrial Information Resources (IIR) Industrial Info Resources (IIR) is a market intelligence firm that tracks investments in various types of industrial and power projects, including information on historical, cancelled, on hold, and active hydropower projects in the U.S. These projects can range from the rehabilitation of an existing hydropower turbine to the construction of an entirely new hydroelectric facility.