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National Association of
State Energy Officials
1812 North Moore Street, Suite 1810
Arlington, Virginia 22209
(703) 299-8800
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National Energy Screening Project
NESP MTR Handbook
Tables
MTR Tables
Table 1. Summary of chapter information
Table 2. Calculating average and marginal impacts for electric and gas utilities
Table 3. Key steps to calculate BCA impacts of DERs
Table 4. Overall structure for calculating the value of several DER impacts
Table 5. Simpler structure for calculating the value of some impacts
Table 6. Steps for using the proxy unit method for determining energy generation impacts
Table 7. Steps for developing energy generation impacts with capacity expansion and production cost modeling
Table 8. Examples of capacity expansion and production cost models to estimate energy generation impacts
Table 9. State examples using the power sector model method to estimate energy generation impacts
Table 10. Steps for calculating energy generation impacts using the market data method
Table 11. State examples using the market data method to estimate energy generation impacts
Table 12. Advantages and disadvantages of common methods to calculate energy generation impacts
Table 13. State examples using the proxy unit method to estimate generation capacity impacts
Table 14. Steps to calculate generation capacity impacts using the peaker plant method
Table 15. State examples using the peaker plant method to estimate generation capacity impacts
Table 16. Steps used to calculate generation capacity impacts using market data and Net CONE values
Table 17. State examples using the market data method to estimate generation capacity impacts
Table 18. Steps for estimating Cost of New Entry for marginal units
Table 19. Steps for developing avoided generation capacity costs using capacity market simulation
Table 20. State examples using the power sector model method to estimate generation capacity impacts
Table 21. Advantages and disadvantages of common methods to calculate generation capacity impacts
Table 22. Steps to calculate RES and CES impacts using wholesale electricity market data
Table 23. State examples of estimating compliance impacts in wholesale electricity markets
Table 24. State examples using the proxy unit method to estimate compliance impacts
Table 25. State example using the modeling method to estimate compliance impacts
Table 26. Steps to calculate wholesale market price effects using the dispatch curve analysis method
Table 27. Key data sources for dispatch curve analysis method
Table 28. Steps to calculate wholesale market price effects using the combination analysis method
Table 29. State examples using the combination analysis method
Table 30. State examples using the historical market data method to estimate ancillary services impacts
Table 31. State examples using the production cost model method to estimate ancillary services impacts
Table 32. Steps to calculate the impacts of pollutant cap-and-trade mechanisms
Table 33. Steps to calculate the impacts of GHG mandates
Table 34. Comparison of societal cost of carbon and marginal abatement cost methods
Table 35. Steps to calculate the marginal transmission costs associated with load growth
Table 36. State examples using ratio of cost to load growth method to estimate transmission capacity impacts
Table 37. Steps to calculate transmission capacity impacts using the cost of service method
Table 38. State examples using cost of service method to estimate transmission capacity impacts
Table 39. State examples using publicly available transmission costs forecasts to estimate transmission capacity impacts
Table 40. Steps to calculate transmission capacity impacts using the project deferral method
Table 41. State example using the project deferral method to estimate transmission capacity impacts
Table 42. Steps to determine transmission losses using the market data method
Table 43. State examples using the market data method to estimate transmission system losses
Table 44. Steps to calculate marginal distribution costs related to load growth
Table 45. State examples using the ratio of cost to load growth method to estimate distribution capacity impacts
Table 46. Steps to estimate marginal distribution costs using the cost of service method
Table 47. State example using the cost of service method for estimating distribution capacity impacts
Table 48. Steps to calculating locational distribution capacity impacts using the project deferral method
Table 49. State examples using the project deferral method to estimate distribution capacity impacts
Table 50. Steps to calculate gas wholesale market price effects
Table 51. Steps to calculate targeted non-pipe alternatives impacts
Table 52. Comparison of societal cost of carbon and marginal abatement cost methods
Table 53. Steps for calculating other fuel wholesale market price effects
Table 54. Host customer energy impacts
Table 55. Types of costs to consider when calculating host customer DER costs
Table 56. State examples of interconnection fees for solar PV
Table 57. Federal tax incentives
Table 58. State tax incentives
Table 59. Steps to calculate federal tax incentives using the percent of total project cost
Table 60. Steps to calculate state tax incentives using percent of total project cost
Table 61. Examples of host customer non-energy impacts
Table 62. Simplified example of relative valuation survey for estimating non-energy impacts for single customers
Table 63. Advantages and disadvantages of methods for estimating host customer non-energy impacts
Table 64. Common societal impacts of DERs
Table 65. Steps to calculate societal GHG impacts
Table 66. Steps to calculate reduction in building end-use GHG emissions from DERs
Table 67. Steps to calculate reduction in GHG emissions due to electric vehicles
Table 68. Steps to calculate GHG emissions from leaks
Table 69. Steps to calculate GHG emissions costs using a marginal abatement cost curve
Table 70. Comparison of societal cost of carbon and marginal abatement cost methods
Table 71. Typical indicators of macroeconomic development
Table 72. Three categories of macroeconomic development impacts from energy resource investments
Table 73. Macroeconomic development impacts: methods and models
Table 74. Summary of methods for estimating macroeconomic impacts of energy resources
Table 75. Reliability assessment framework steps overview
Table 76. Examples of reliability metrics
Table 77. Current and pending tools for calculating reliability impacts
Table 78. Steps to assess resilience impacts
Table 79. DOE resilience metrics
Table 80. Target population examples used by some jurisdictions
Table 81. Limitations of BCAs and rate, bill, and participation analyses in addressing equity
Table 82. High-level comparison of BCAs, rate, bill, and participation analyses, and DEAs
Table 83. Examples of jurisdictions that require accounting for energy efficiency risk benefits
Table 84. Summary of method attributes relevant to DER load profile development
Table 85. Steps to develop DER load profiles using simulation modeling
Table 86. Steps to develop DER load profiles using the submetering method
Table 87. Steps to develop DER load profiles using statistical analysis of building-level data
Table 88. Steps to develop DER load profiles using the percent reductions method
Table 89. Steps for optimizing DER alternatives using an existing modeling tool
Table 90. Mapping of methods for developing load profiles to DER types