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2_Renewable Energy Mapping and PolicySustainable Dubuque: Renewable Energy Mapping and Policy Nick Benson, Robyn Fennig Michael Beach, Andrew Bennett, Adam Gebhart, Eric Isaacs, Yana Li, Hannah Papineschi, & Michele Vitale Faculty Advisor: Dr. Scott Spak Iowa Initiative for Sustainable Communities Tuesday May 8, 2012 LDUBUQUE SUSTAINABLE Lj THE !1J[ oFY School of Urban & Regional Planning Renewable Energy Mapping and Policy in Dubuque, Iowa 1C-> GreaterDubuque 1 Project Scope Map ON-SITE energy production capacity Solar Wind Ground Source Heat Pump Return on Investment (ROI) optimization Business energy demand sampling Residential demand Policy analysis Spatial extent of the project: City Limits of Dubuque, Iowa Map by Mike Beach Renewable Energy Mapping and Policy in Dubuque, Iowa 2 Building an Urban-Scale Methodology Innovations In Model ■ .�.■1. ;�■if.:. a. .. an • on nasals _sig5:44111 IM ill ` ..■. ►I■■■■■.\r n. ■■■■ ,�■■■ a a . ■■ • Geophysical analysis • Optimizes site- ■ ■ ■►� i ■ MEOW"' :i�. ■ .au■ :i nail Era win 1 I ■ ■ U. specific system • Dubuque- specific analysis L \1 .■: a p ..-� • • Comprehensive package • t a ►� 3 • Solar Mapping Adapting Existing Methodology Incoming Solar Radiation kWhlm2 /day ❑ <2.50 ❑ 2.51 - 3.75 3.76 - 4.75 4.76 - 5.50 > 5.50 Wind Mapping Pioneering an Urban Methodology Mean Wind Speed meters I second <1 1.01 - 1.75 1.76 - 2.00 2.01 - 2.25 2.26 -2.75 2.75 Ground Source Heat Pump Mapping Vertical Loop Tonnage per Parcel 0 -1 2 -3 4 -5 6 -7 >s • LUST Site LUST Buffer (1.000 feet) a Business Energy Demand Sampling Renewable Energy Mapping and Policy in Dubuque, Iowa Sample Business Report THIS IS JUST A SAMPLE REPORT SPECIFIC BUSINESS DATA IS CONFIDENTIAL RETURN ON INVESTMENT Technology Solar Photovoltaic (PV) Panels Solar Thermal vs. Conventional Gas Wa- ter Heater Solar Thermal vs. Conventional Electric Water Heater Wind Energy ROI Benefit -Cost Ratio Capacity Generated Capital Cost of Optimal System 25,000 kWh 2.23 10000 gal 520,W0 156 10,000 gal $15; 0.75 15,00 KwH 82,500 Our return on investment model optimizes the best nix of renewable energy, sized and scoped to meet the needs of each parcel. We do this by inputting various parameters into an investment work- sheet that we created based on input parameters (i.e. Energy Information Administration, interest rates, energy rates), technology information (i.e. vend turbine information), and demand information. We chose to use Excel because it is a program that our clients at the GDDC can update and work with even after we graduate. The worksheet calculates energy demand and creates an output. The output reflects parcel-specific casts and benefits for every parcel in Dubuque- The above table includes data from this ROI procedure. By providing Won-nation to our group, you have adjusted our model to re- ceive a more precise analysis. Renewable Energy Mapping and Policy in Dubuque, Iowa 8 ROI - Procedure Cons - Technolog - Maintenar - Energy Inf Administration Datul Constants [ Data Imported from GIS - Technology costs — - Parcel Information - Maintenance costs a - Renewable energy capacity - Energy Information .e - Building footprint Administration Data u - Building height I - Building heigh Variables - Interest rates - Energy rates (kW /h) I/ - Tax credit rates - Time frames Iles s (kW /h) rtes I- Ti ii9 frames Data Output Worksheet C( - Capital ( _ - Mainten, - - Non -ren Data Output Worksheet Costs Capital costs Maintenance costs Non - renewable energy costs - Residual net capital energy costs - Residual net capital Benefits Tax Credit r Energy bill savings - Carbon emission reductions eauctlons Parcel Level Data - Annual Costs - Annual Savings - Benefit -Cost Ratio (BCR) - Rate of Return Ratio (BCR) - Rate of Return /el Data ngs S Interactive Web - Enabled Map Displays parcel -level data for all areas within city limits of Dubuque, Iowa Renewable Energy Mapping and Policy in Dubuque, Iowa 9 Return on Investment: Solar PV Panels Solar PV Panel Benefit -Cost Ratio 0.00 - 0.50 0.51 - 0.75 0.76 -1.00 > 1.00 Rol: Solar Thermal Technology Corn • ared to Conventional Gas Water Heater Solar Thermal Benefit -Cost Ratio 0.00 - 0.50 0.51 - 0.75 0.76 -1.00 > 1.00 ROI : Solar Thermal Technology (Conventional vs. High Efficiency Gas Water Heater) ROI vs. High Efficiency Gas Water Heater Solar Thermal Benefit -Cost Ratio 0.00 - 0.50 0.51 - 0.75 0.76 -1.00 > 1.00 ROI : Solar Thermal Technology (Conventional vs. High Efficiency Electric Water Heater) High Efficiency Electric Water Heater Solar Thermal Benefit -Cost Ratio 0.00 - 0.50 0.51 - 0.75 0.76 - 1.00 > 1.00 Renewable Energy Zoning and Historic Preservation Dubuque Historic Preservation: Districts & Landmarks I—+-1 r * Building/Landm ark District cathedral District - Jackson Park Langworthy Old M ain - W 11th 7 t — Road Water Dubuque Historic Preservation Districts and Landmarks located near Downtown Dubuque, and will likely see lower variability in solar and wind capacity. Renewable Energy Mapping and Policy in Dubuque, Iowa Reduce regulatory barriers in Dubuque Reclassify small scale turbines as accessory uses Recommend ways to minimize impact of renewables on historic character of Dubuque 16 Historic Preservation - Recommendations w IP I Ayr fit_�. r t • 11.111011 1.0 aW1,; _1- �,�•,• '_I 9, ∎:4IR Via' . I $1 I VP( ie10')Z1'I I(1) Place solar panels flush with sloped rooflines �t'dgn- listed- historic - buildings - should- it- be.html 17 Who Has Access to Renewables? Average Daily Solar Capacity kW hou rs /Day 42 -44 40 -41 36 -39 Median Household Income 2010 American Community Survey • S16,979 - 538.000 • S38.001 -558.000 S58.001 - S86.000 City of Dubuque Census Block Group • LUST Buffer Site Miles 05 1 15 2 Who Has Access to Renewables? Average Wind Speed Meters / Seconds 2.1 -2.3 2.4 -2.5 26 I J27 -29 30-34 Median Household Income 2010 American Community Survey • 516.979 - 538.000 • 538.001 - 558.000 • 558 001 - 586 000 City of Dubuque Census Block Group 05 1 15 2 Critical Facilities Policy Analysis Climate change impacts disaster services demand Critical facilities must maintain services or become operational ASAP after hazard event Calculate energy usage (based on national data) Can energy capacity help meet the demand if systems are down? Create increased resiliency, decreased Critical Facilities in Dubuque: Public Safety & Response • Cntical Facilities Q Corporate Limits vulnerability Critical facilities are dispersed throughout the city, and will see greater variability in wind and solar Decrease daily operating capacity based on location. costs Renewable Energy Mapping and Policy in Dubuque, Iowa 20 Findings: Dubuque Police Station Located Downtown Demand determined by Energy Information Administration Regional Demand Data for Police /Fire Stations Incoming S Radiatioi kWh /m2 /da < 2.50 El 2.51 - 3.75 El 3.76 - 4.75 ✓ 4.76 - 5.50 ■ > 5.50 Percent Energy Consumption (S on) ffice Computer Eq ipment, Use, 0.77% 24% F efrig ation, 1.4 Lighting, 8.34% ROI =1 01 ROl N. 18 31 Water Heating, 24.65% Heating 52.39° Ventilation, 6.04% Image Source: Google Maps Cooling, 21 G reaterDubuque Questions? n Comments? LI'DUBUQUE SUSTAINABLE THE H UNIVERSITY OF IOWA School of Urban & Regional Planning Renewable Energy Mapping and Policy in Dubuque, Iowa