Modeling energy efficiency as a supply resource: a bottom-up approach

Gumerman, Etan; Vegh, Tibor

doi:10.1007/s12053-018-9740-7

Cited by 4 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Historical Morocco data can be used from Table 9 to provide an estimate the impact of energy efficiency programs. Several studies examined the impact of specific appliances on the overall demand curve in different regions of the United States (Li and Just 2018;Sanstad 2014;Gumerman and Vegh 2019). The energy efficiency programs modeled produced anywhere between 1.7% to 25% energy reduction of household loads.…”

Section: Impacts Of Energy Efficiency In Long-term Load Forecastingmentioning

confidence: 99%

Load Forecasting for the Moroccan Electricity Sector

Cox

Silva

Jorgenson

et al. 2021

View full text Add to dashboard Cite

For the three timescales described a total of eight methodologies were tested (three for longterm, three for medium-term, and two for short-term), six of which were included in this report. These methodologies were linear and multivariable regression on the annual (long-term) and hourly (long-and medium-term) basis, load clustering (medium-term), and two auto regressive models for short-term analysis.Based on long-term analysis, depending on growth scenarios, Morocco can expect an annual peak demand in 2030 ranging approximately 8-11 GW with annual energy consumption ranging 55-77 TWh. This is based on an assumed annual gross domestic product (GDP) growth of 2.5%-4.0%. Analysis was conducted for PV deployment between 1-7 GW and resulting net load curves are forecast. See Section 9.2. Additional work will need to be done to evaluate system integration potential, depending on the geospatial placement of PV and other renewable energy (RE) and non-RE deployments.

show abstract

Section: Impacts Of Energy Efficiency In Long-term Load Forecastingmentioning

confidence: 99%

Load Forecasting for the Moroccan Electricity Sector

Cox

Silva

Jorgenson

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Utility system modelers would prefer to aggregate efficiency programs into a "supply" option that assumes that the adoption of energy efficiency changes as the cost to save a kilowatt-hour changes. Thus, energy efficiency supply curves provide information on the marginal cost of increasing amounts of energy efficiency [27].…”

Section: Potential Applications For the Efficiency Cost Curvementioning

confidence: 99%

“…However, actual, realized program results allow for benchmarking against efficiency potential studies that rely on engineering estimates of savings. Other researchers have taken the median and inter-quartile values for levelized CSE by market sector from earlier LBNL reports to estimate the first-year CSE and derive a supply curve that matches the cost to actual energy efficiency savings levels [27]. Aggregated, actual efficiency program cost and savings data-rather than fixed, pre-specified estimates of the efficiency potential-offers utility planners an empirical basis to estimate adoption rates for energy efficiency as electricity costs (or avoided costs of supply-side resources) change.…”

Section: Potential Applications For the Efficiency Cost Curvementioning

confidence: 99%

The Cost of Saving Electricity: A Multi-Program Cost Curve for Programs Funded by U.S. Utility Customers

et al. 2020

View full text Add to dashboard Cite

This study analyzed the cost performance of electricity efficiency programs implemented by 116 investor-owned utilities between 2009 and 2015 in 41 states, representing about three-quarters of the total spending on U.S. efficiency programs. We applied our typology to characterize efficiency programs along several dimensions (market sector, technology, delivery approach, and intervention strategy) and report the costs incurred by utilities and other program administrators to achieve electricity savings as a result of the programs. Such cost performance data can be used to compare relative costs of different types of efficiency programs, evaluate efficiency options alongside other electricity resources, benchmark local efficiency programs against regional and national cost estimates, and assess the costs of meeting state efficiency policies. The savings-weighted average cost of saved electricity for the period was $0.025/kilowatt-hour (kWh). The cost of saved electricity for programs that targeted residential customers was $0.021/kWh, compared to $0.025/kWh for programs for commercial and industrial customers. Ultimately, we developed an aggregate program savings “cost curve” for the actual electricity efficiency resource during the period that provides insights into the relative costs of various types of efficiency programs and the savings contribution of each program type to the efficiency resource at a national level.

show abstract

Global renewable energy power generation efficiency evaluation and influencing factors analysis

Dong

2022

Sustainable Production and Consumption

View full text Add to dashboard Cite

Modeling energy efficiency as a supply resource: a bottom-up approach

Cited by 4 publications

References 4 publications

Load Forecasting for the Moroccan Electricity Sector

Load Forecasting for the Moroccan Electricity Sector

The Cost of Saving Electricity: A Multi-Program Cost Curve for Programs Funded by U.S. Utility Customers

Global renewable energy power generation efficiency evaluation and influencing factors analysis

Contact Info

Product

Resources

About