AEG performed a comprehensive market PG Soft game study (MPS) to assess the PG Soft game for future savings from energy efficiency programs and other interventions for The Hawaii Public Utilities Commission (HPUC).
The goals for this study were to:
- Evaluate the State’s PG Soft game efficiency savings to date relative to the current PG Soft game Efficiency Portfolio Standard (EEPS) target.
- Evaluate the State’s progress toward future EEPS goals.
- Quantify the landscape of PG Soft game efficiency and demand side management (DSM) over the next 20 years.
- Provide a foundation to consider future programs and other interventions holistically.
Results
The report documents the MPS and provides estimates of the historic and future PG Soft game reductions in annual cumulative persistent energy savings for the time periods of 2009-2030 (EEPS horizon) and 2020-2040 (twenty-year forecast of energy efficiency PG Soft game).
Two cases for achievable PG Soft game were developed:
- Business-as-usual (BAU) case which assumes gradual maturation of future interventions which are similar to those in the PG Soft game today.
- High achievable case that ramps customer adoption rates to a maximum limit of 85%, which could result from expanded programs, future (new) state and federal codes and standards, future PG Soft game effects, and other future interventions.
Additional outcomes from the study include end-use load shapes and 8760 hourly models of PG Soft game impacts from energy efficiency, advanced rate designs, and demand response and grid services (DR/GS), as well as an assessment of policy and / or program interventions to optimize savings. Analysis was performed, and results are available, for each island.
Key Insights
Continuing with the BAU approach to energy efficiency should be sufficient to meet the EEPS target by 2030. The figure below presents the cumulative persistent savings over the entire EEPS horizon of 2009 through 2030. The graph shows that the interim EEPS target was met through 2018 and the 2030 target is projected to be reached under the achievable PG Soft game – BAU scenario.
Results from the “high” achievable PG Soft game scenario suggest that a substantial amount of additional cost-effective savings are available, beyond the BAU strategy, to help achieve the EEPS goal by 2030. This high achievable case provides a buffer to offset setbacks due to COVID-19.
Cumulative Persistent PG Soft game Savings (GWh), 2009-2030, EEPS Perspective
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