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Connecticut Seeks 2,000 MW of Offshore Wind Capacity

LCG, August 22, 2019--The Connecticut Department of Energy and Environmental Protection (DEEP) on Friday released a request for proposals (RFP) for offshore wind power projects. DEEP is seeking up to 2,000 MW, as required under Public Act 19-71, An Act Concerning the Procurement of Energy Derived from Offshore Wind.

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EIA Publishes Regional Electricity Supply and Pricing Forecasts Using UPLAN Model

LCG, August 13, 2019--The U.S. Energy Information Administration (EIA) announced that it is revising the presentation and modeling of its forecasts for electricity supply and market hub pricing to better reflect current electricity markets and system operations in the U.S. Beginning with the August 2019 Short-Term Energy Outlook (STEO), the new forecasting approach models electricity markets using the UPLAN production cost optimization software developed by LCG Consulting. EIA uses the solution results provided by this proprietary model to develop the STEO forecasts of monthly electricity generation, fuel consumption, and wholesale prices.

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Press Release

Impacts of High Variable Renewable Energy Futures


May 23, 2018 -- Lawrence Berkeley Lab partnered with LCG Consulting to develop a large number of variable renewable energy (VRE) scenarios to derive future generator portfolios and hourly price and emissions series. The main objective of this exercise is to offer policymakers, utilities and grid authorities a long-range view of how current choices could impact their future ability to cope with changes in the electric sector.

In particular, simulations address generation mix, wholesale and ancillary service prices, and carbon emissions across SPP, NYISO, CAISO, and ERCOT in 2030. The modeling effort and the underlying simulations were led by an LCG expert team and conducted with LCG’s proprietary models including the long-term least-cost planning program, Gen-X, the integrated G&T market model, UPLAN-NPM, and the regional PLATO data models.

The study found a general decrease in average annual hourly wholesale energy prices with more VRE penetration, increased price volatility and frequency of very low-priced hours, and changing diurnal price patterns. Ancillary service prices rise substantially and peak net-load hours with high capacity value are shifted increasingly into the evening, particularly for high solar futures. A significant decrease in non VRE generation and a modest decrease of firm capacity need were observed for high VRE future. Figure below shows the mean diurnal (24h) energy price profiles by scenario and region, averaged over all weekdays.
Wholesale Price Effects of 40-50% Wind and Solar
Source: Lawrence Berkeley National Laboratory

The diurnal price profiles display the infamous duck curve in all regions for high solar case. The overall electricity prices for all VRE scenarios show a decline across all regions by $5 - $16/MWh with strong total price decline in NYISO, CAISO, and SPP for the solar case while ERCOT has the largest price reduction in the wind case. For the high VRE cases, the study observed substantial increase in low price hours. The annual share of low price hours where the prices are below $5/MWh varies from region to region from 2.5% to 19% for all hours of the year. These low price hours offer an opportunity for hybrid renewables and storage developers such as CAES, batteries, and load shifting programs to optimize their asset portfolios.

Energy Prices
Source: LCG UPLAN-NPM simulation

The changes in the diurnal energy price profile, high ancillary service prices, and increased volatility may offer energy industry participants a new perspective for their future planning under alternative scenario. Hopefully, the study brings into focus how the current choices could impact their future ability to cope with changes in the electric sector.

Report (LBNL, LCG): http://eta-publications.lbl.gov/sites/default/files/report_pdf_0.pdf
Abstract, report and Data (LBNL): https://emp.lbl.gov/publications/impacts-high-variable-renewable


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