Course Detail (Course Description By Faculty)

Financing the Grid: Valuing Transmission & Storage Capacity (33320)

This course will provide a general introductory overview to fundamental instruments, and to foundational concepts and practice principles from industrial economics, statistics and engineering applicable to financing and valuation of grid-scale electricity storage and transmission capacity.

We will survey key principles underlying the engineering and economics of the grid, and introduce fundamental themes from applicable financial derivatives and natural resource and environmental economics, which are foundational to the application of Cournot models and real options analysis, as well as statistical and econometric specification of spatial models from industrial economics (locational and agglomerative models, capacitated market models) for storage and transmission in the context of binding technical constraints. Beginning with foundational principles for fundamental pricing instruments applicable to electricity generation, consumption, storage and transmission, lecture and discussion will address corresponding established and prospective industry practice related to spatial organization and colocation of industrial electricity supply and demand with additional implications for environmental and infrastructure regulation and finance, electricity trading and asset pricing (e.g., metals and ancillary commodity derivatives markets), as well as broader implications and impacts for political economy, energy policy and applied management science.

Topics to be addressed include: (i) Contracts-for-Differences (CfDs) and relative-value pricing to comparable instruments; (ii) volatility estimation and spread elasticities; (iii) load estimation/forecasting; (iv) state estimation of peak-load price regimes and volatility shocks; (iv) weather and weather volatility estimation/forecasting; (v) thermodynamics of power and energy density; (vi) measuring temperature extremes in terms of cooling degree days (CDDs), heating degree days (HDDs) and precipitation days; (vii) estimating conditional supply-demand spread elasticities to CfDs and spot spreads.

Although background in electrical engineering or power systems is not required, and there are no specific prerequisites for the course, prior coursework in statistical and economic analysis and the pricing financial and commodity derivatives is highly encouraged.
See syllabus for required and recommend textbooks, articles, and recommended computing/software materials.
Grades will be determined based on the following:
(A) Homework ([25]%), Class Participation ([25]%) and (B) Final Group Project (50%)
Description and/or course criteria last updated: February 06 2024
SCHEDULE
  • Spring 2024
    Section: 33320-81
    T 6:00 PM-9:00 PM
    Gleacher Center
    204
    In-Person Only
    New Course

Financing the Grid: Valuing Transmission & Storage Capacity (33320) - Birge, John>> ; Mordecai, David K.A.>> ; Murphy, Kevin>>

This course will provide a general introductory overview to fundamental instruments, and to foundational concepts and practice principles from industrial economics, statistics and engineering applicable to financing and valuation of grid-scale electricity storage and transmission capacity.

We will survey key principles underlying the engineering and economics of the grid, and introduce fundamental themes from applicable financial derivatives and natural resource and environmental economics, which are foundational to the application of Cournot models and real options analysis, as well as statistical and econometric specification of spatial models from industrial economics (locational and agglomerative models, capacitated market models) for storage and transmission in the context of binding technical constraints. Beginning with foundational principles for fundamental pricing instruments applicable to electricity generation, consumption, storage and transmission, lecture and discussion will address corresponding established and prospective industry practice related to spatial organization and colocation of industrial electricity supply and demand with additional implications for environmental and infrastructure regulation and finance, electricity trading and asset pricing (e.g., metals and ancillary commodity derivatives markets), as well as broader implications and impacts for political economy, energy policy and applied management science.

Topics to be addressed include: (i) Contracts-for-Differences (CfDs) and relative-value pricing to comparable instruments; (ii) volatility estimation and spread elasticities; (iii) load estimation/forecasting; (iv) state estimation of peak-load price regimes and volatility shocks; (iv) weather and weather volatility estimation/forecasting; (v) thermodynamics of power and energy density; (vi) measuring temperature extremes in terms of cooling degree days (CDDs), heating degree days (HDDs) and precipitation days; (vii) estimating conditional supply-demand spread elasticities to CfDs and spot spreads.

Although background in electrical engineering or power systems is not required, and there are no specific prerequisites for the course, prior coursework in statistical and economic analysis and the pricing financial and commodity derivatives is highly encouraged.
See syllabus for required and recommend textbooks, articles, and recommended computing/software materials.
Grades will be determined based on the following:
(A) Homework ([25]%), Class Participation ([25]%) and (B) Final Group Project (50%)
Description and/or course criteria last updated: February 06 2024
SCHEDULE
  • Spring 2024
    Section: 33320-81
    T 6:00 PM-9:00 PM
    Gleacher Center
    204
    In-Person Only
    New Course