11 Regional Renewable Energy Study Review of Findings and Forecasts Presented to: Climate, Energy and Environment and Policy Committee Metropolitan Washington.

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Presentation transcript:

11 Regional Renewable Energy Study Review of Findings and Forecasts Presented to: Climate, Energy and Environment and Policy Committee Metropolitan Washington Council of Governments May 25, 2016 Benjamin Foster, ICF Cory Jemison, ICF

22 Renewable Energy Study Scope  Supplemental Analysis from Multi-Sector Approach to Reducing GHG Emissions  Refine “10% Renewable Energy Goal” – Document goal in terms of total MWh, by sector and by Virginia, Maryland, and the District of Columbia – Estimate equivalent renewable energy deployment needed to reach the goal – specifically solar PV capacity, and number of systems, along with other viable technologies, as appropriate  Provide additional analysis of renewable energy issues with comparisons that are easy to explain and understand. – Document regional desire and opportunities for green power purchasing – Explain constraints and their impact – Compare potential with existing goals and external examples (e.g., from related regional goals and accomplishments from across the country) – Provide assumptions and calculations for renewable energy penetration and potential

33 Project Approach & Tasks  Provide additional support and analysis to build confidence in the current goal to achieve “10% of regional electricity consumption from renewable sources” for regional leaders and stakeholders. Include data sources to inform future MWCOG goal setting, planned actions, and tracking of renewable energy deployment.  Investigate and analyze, at a summary level, regional drivers for renewable energy implementation including: – Current adoption trends and forecasts – Existing renewable potential studies from MWCOG members, as available – Regional green power purchases, as available – Electric utility integrated resource plans – Revisit sector potential for Institutional (government agency & non-profit), Commercial, Residential, Utility – Regional constraints to deployment including economic, policy and technical – Regional opportunities and co-benefits ✓ ✓ ✓ ✓ ✓ ✓ ✓

44 Top-Line Goal  2012 Total Electricity Usage by Jurisdiction (from MWCOG)  Target: 10% of 2012 Electricity Sourced from Renewable Energy (RE) [~6,000 GWh]  Sources to be included for RE target: On-site renewables + Off-site renewables + RECs

55 National RPS Goals

Regional Solar PV Deployment by County Total installed solar PV as of 12/31/15 Source: Northern Virginia Regional Commission, April 7, 2016

Renewable Energy Analysis Summary  Overall regional renewable energy consumption at 9.5% of total in 2015  Utility supplied non-hydro renewable energy represents over 6% of regional consumption  Customer voluntary Green Purchases estimated at almost 3% (via EPA Green Power Partnership)  Distributed generation (primarily solar) estimated at 0.3% (via MWCOG data) 10% %

88 Utility Sector Contribution to Renewable Targets Renewable Energy Technology COG Regional Target Solar Photovoltaics1 Solar Thermal Electric1 Solar Water Heat2 Solar Space Heat2 Solar Thermal Process Heat 2 Wind (All)1 Qualifying Biomass1 Hydroelectric <30MW2 Geothermal Electric2 Geothermal Heat Pumps1 Geothermal Direct-Use1 Municipal Solid Waste1 Landfill Gas1 Anaerobic Digestion1 Fuel Cells using Renewable Fuels 1  Utility RPS goals/requirements were factored into jurisdictional energy consumption to calculate total regional impact  A variety of distributed generation technologies are (or could be) included – Category 1: Priority technologies (currently being deployed) – Category 2: Future opportunities (technically feasible but not currently being deployed)

Renewable Energy Analysis By MWCOG Jurisdiction Annual GWh

Forecast Assumptions  Forecasts are based on a combination of RPS targets for utility supply and “what if” scenarios.  These can be considered as illustrative calculations of what is possible in the region, but not necessarily predictive.  The major drivers for utility supplied non-hydro renewable energy is expected come from mandatory RPS goals in MD and DC and contribute the most to attainment of renewable energy targets within COG.  There is a large, ongoing impact of voluntary purchases by government agencies, commercial, and industrial energy users and forecasts for this analysis include a 10% annual increase in these voluntary purchases.  Distributed generation forecast includes a conservative estimate of annual growth potential of % per year through 2020 then 5% thereafter (compared to the compound growth rate through 2015 of 45% per year).

Renewable Energy Strategies/Programs Forecast Updates  Aggregated purchasing programs – Updated based on recent changes in availability of ITC and current trends. – Includes residential, commercial and government sectors  Community Solar – Added this category to the analysis based on the high level of interest and potential for this type of deployment. – Includes residential and commercial sectors  Incentives – Updated based on current trends. – This includes property tax abatements, density allowances, and permit fee reductions only.

Renewable Energy Forecast Summary % 10% ---  Overall regional renewable energy consumption forecast at over 25% of total in 2022  Utility supplied non-hydro renewable energy represents 14% of regional consumption  Customer voluntary Green Purchases estimated at over 5% (via EPA Green Power Partnership)  Distributed generation (primarily solar) estimated at 1% (via MWCOG data)  Additional regional strategies could potentially contribute 5% more clean power consumption EBE Strategies %

Renewable Energy Forecast By Category with Solar Capacity Equivalencies Annual GWh  Renewable electricity forecasts (kWh) for DG Deployment and Programs was converted to solar capacity using location-specific solar yield factors in MD, DC and Northern VA  For relative project volume estimates, the mix of solar capacity by sector nationally was applied to capacity forecasts and then sector-specific assumptions were used to calculate number of projects

14 Questions?