class time:            
    1 lecture per week (2 hrs)
    part of the lectures will be in a PC-equipped computer LAB
Work/Grading:       
    100% Class Project
    Pass/fail grading


1st week
    Mar 31 – Apr 1 (Lecturer: Attilio Pigneri, ITS UC DAVIS)
    Lecture #1 – Energy Planning Basics
        Energy System Basics
        Energy and Society
        Energy Balance Accounting
        Energy Planning
            The need for Planning
            Traditional Electric Utility Planning
            Energy and Energy Services
            Integrated Resource Planning
        Outline of the Planning Process

2nd week
    Apr 4 – 8 (Guest lecturer: Charles Heaps, SEI-B)
    Lecture #2 –  LEAP LAB/1:Introduction to LEAP
        Overview Description of LEAP software
            Inputs, outputs
        Sample Applications for IRP (review some studies that use LEAP)
        Getting started.
        Energy Demand Forecasting
            Macroeconomic modeling
            Bottom-up modeling
            Demand projections
            Scenario-based projections framework
        Building an energy demand model with LEAP

3rd week
    Apr 11 – 15 (Lecturer: Attilio Pigneri, ITS UC DAVIS)
    Lecture #3 – LEAP LAB/2:Sectorial Assessment using LEAP
        Industrial Sector
        Agriculture and Forestry Sector
        Commercial and Services Sector
        Residential Sector
        Load Curves
        Data requirements for end-use models
        Methods for estimation of end-use breakdown

4th week
    Apr 18 – 22 (Lecturer: Attilio Pigneri, ITS UC DAVIS)
    Lecture #4 – LEAP LAB/3:Transportation analysis using LEAP/2
        Road Transportation Sector
            Stock vintages
            Top-down sales methodology
            Roll-over and turn-over profiles
            Mileage and emission degradation
        Other Transports
    Class Project Description

5th Week
    Apr 25 – 29 (Guest lecturer: Mark A. Delucchi, ITS UC DAVIS)
    Lecture #5 – Environmental Impact of Energy-related activities
        Greenhouse gases
        Criteria Pollutants
        Emission Factors
            Energy Sector
            Non-Energy Sector
        Environmental and Social Cost-Benefit Analysis
        Emission Accounting and Environmental Impacts
        Externality values
        Cost of emission reduction options

6th week
    May 2 – 6 (Lecturer: Chris Yang, ITS UC DAVIS)
    Lecture #6 - Supply-Side Options
        Conventional generation options
        Restructuring of the markets
        Supply side integration
            Supply resource screening
            Dispatch strategies
            Supply-side loss reduction
            Cogeneration Intermittent renewable resources
    Class Project Assignment


7th week May 9 – 13 (Lecturer: Chris Yang, ITS UC DAVIS)
    Lecture #7 – Energy Engineering Economics
        Basic Engineering Economics
        Electricity production costs
            Utility Revenue Requirements
            Marginal Energy and Capacity Costs

8th Week
 May 16 – 20 (Lecturer: Attilio Pigneri, ITS UC DAVIS)
    Lecture #8 – LEAP LAB/4:Supply-side analysis using LEAP
        Energy Supply Alternatives
        Structure of energy supply
            Load and Capacity factors
        Networked energy systems
            Electricity and Natural Gas transmission and Distribution Infrastructures
            Load-Duration curve and Planning Reserve Margin
        Energy conversion sectors in LEAP

9th week
    May 23 – 27 (Lecturer: Attilio Pigneri, ITS UC DAVIS)
    Lecture #9 – Demand-side options
        Barriers to energy efficiency and renewables
        Demand Side Management (DSM) Strategies
        Energy Pricing and tariffs
        Cost effectiveness of DSM programs
        Demand Side Management options in the transportation sector

10th week
    May 30 – Jun 3 (Lecturer: Attilio Pigneri, ITS UC DAVIS)
    Lecture #10 – LEAP LAB/4: Scenario Analysis within LEAP
        Integrating options on the supply and demand-side
            Least-cost planning criteria
            Defining scenarios and baselines
            Combining DSM and supply resource options
        Technology-driven scenarios (single effect)
        Policy driven scenarios (multi effect, target driven)

11th week
    Jun 6 – 8
    Lecture #11
        Class Project

To be scheduled (Guest lecturer: Gustavo Collantes, ITS UC DAVIS)
    Lecture #12 – IRP and The Policy Decision-making Process
        Government Programs
            Information and Labelling
            Standards and Regulations
            Technology Procurement
            Financial and Fiscal Mechanisms
        The Policy decision-making process
            From analysis to decisions
            Techno-economical Advising
            Policy Advising
            The missing link and the role of the planner