class: center, middle, inverse, title-slide .title[ # ECON 366: Energy Economics ] .subtitle[ ## Topic 1: An Introduction to Energy Economics ] .author[ ### Andrew Leach, Professor of Economics and Law ] .date[ ###
aleach@ualberta.ca
leachandrew
@andrew_leach
] --- # Welcome! .pull-left[ Some quick facts about me: - I grew up in Ottawa - I have degrees in environmental science, economics, and law - My academic interests are energy economics, environmental policy, constitutional law, and energy markets - I've worked in various governmental advisory roles - This is my third time teaching this class. I also taught energy markets in the School of Business for 10+ years ] .pull-right[ <br> ![:scale 80%](andrew_pro.jpg) ] --- # Welcome! .pull-left[ Beyond the classroom: - I have two kids, aged 14 and 15 - I have a border collie named Kona - My main hobby is cycling, and I also play hockey and dabble in woodworking - I have a serious Twitter addiction My expectations of you Your expectations of me ] .pull-right[ <br> ![:scale 80%](andrew_bike.jpg) ] --- # About this course: learning goals By the end of this course, you will: 1. be familiar with the major sectors of Alberta's energy economy; 2. understand the key local and global drivers for energy supply and demand; 3. be able to relate popular press discourse about energy economics to basic economic models; 4. understand the implications of climate change policies for the global and local energy economy; 5. be able to access, present, and interpret relevant energy and economic data; --- # Class delivery - Regular MW class meetings will be in person unless circumstances force us online; I will not teach in person if I am putting you at risk - Friday classes will be an asynchronous class which I will use for R lessons, data exercise reviews, and other similar material to let you work through the data work at your own pace - I do not plan to record or stream class content for in-person meetings, although I may make exceptions on a case-by-case basis (pre-midterm and pre-final classes, for example) --- # Materials - [eClass](https://eclass.srv.ualberta.ca/course/view.php?id=91208) and my [personal class website](https://econ366.aleach.ca) - slides and data exercises - practice questions - podcasts and other media - data and other resources - pre-exam practice problems - there is no textbook --- # Communication - [eClass](https://eclass.srv.ualberta.ca/course/view.php?id=95033) announcements - Email me: <a href="mailto:aleach@ualberta.ca"><i class="fa fa-envelope fa-fw"></i> aleach@ualberta.ca</a> - Code and data help: <a href="https://github.com/leachandrew"><i class="fa fa-github fa-fw"></i> leachandrew</a> or my [projects page](https://aleach.ca/project) - My Twitter: <a href="https://twitter.com/andrew_leach"><i class="fa fa-twitter twitter"></i> @andrew_leach</a> - Class discussion and lecture materials - [Periodic energy charts Substack](https://aleach.ca/charts) --- # Assignments <br> <br> <table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:center;"> Task </th> <th style="text-align:center;"> Date </th> <th style="text-align:center;"> Weight </th> </tr> </thead> <tbody> <tr> <td style="text-align:center;"> Data assignments </td> <td style="text-align:center;"> online, one per month </td> <td style="text-align:center;"> 30% </td> </tr> <tr> <td style="text-align:center;"> Midterm </td> <td style="text-align:center;"> In class, February 14th </td> <td style="text-align:center;"> 25% </td> </tr> <tr> <td style="text-align:center;"> Final </td> <td style="text-align:center;"> April 22 (Monday), 2:00 PM (tentative) </td> <td style="text-align:center;"> 45% </td> </tr> </tbody> </table> --- # Tips for Success - Attend class; - Take notes; - Do any data exercises and problem sets; - Work together; - Ask questions, participate, and drop by during my office hours; - Read the Energy Charts weekly and other sources I provide to you; - Don't struggle in silence, you are not alone! --- # Roadmap for the Semester (1/3) ### Introduction > **Concepts:** RMarkdown; Quarto; Data sources(e.g. EIA; CER; AER; AESO; CANSIM; ECCC; IEA; BP) ### The Global Energy Economy > **Concepts:** Total primary energy supply; supply; demand; electricity generation vs. capacity; climate change. --- # Roadmap for the Semester (2/3) ### Oil and gas markets > **Concepts:** OPEC; WTI; Brent; AECO/NIT; Henry Hub; fractionation; backwardation; contango; storage; inventories; sweet vs. sour crude or gas; well-head prices; pipeline gas. ### Oil and gas production, reserves, resources > **Concepts:** conventional vs. unconvential extraction; shale gas; light tight oil; fracking; *in situ* vs. mined oil sands; type curves; 1P and 2P reserves; company-level vs. country-level reserves; capital vs. operating costs; supply cost and net present value of an oil project. --- # Roadmap for the Semester (3/3) ### Pipelines and Downstream Processing > **Concepts:** tolls; common carrier; open season; diluent recovery unit; *Canadian Energy Regulator Act*; cost-of-service regulation. ### Electricity > **Concepts:** duration curves; cost-of-service; merit order; ancillary services; energy storage; prices and riders; rate regulation; electrification. ### GHG Policy > **Concepts:** marginal abatement cost; marginal damage; carbon budgets; POGG; tax; output-based allocation; GHG; Kyoto; Copenhagen; Glasgow; IPCC; UNFCC; COP. --- # A reminder on positive and normative statements - Economics alone can't tell you the **right** decision - A positive statement is a statement of what **is** or what **will happen** and describes reality. - If you increase the costs of production, consumer prices will go up. - Positive statements can reflect **uncertainty** about outcomes - A normative statement concerns what somebody believes **should** happen: - “The government should tax greenhouse gas emissions.” - Normative statements cannot be tested because they imply value judgments which cannot be refuted by evidence. - Normative statements can inform objective functions - A decision-maker might value a policy which does not increase inequality - Economists can provide constrained advice: this policy accomplishes your objective and *is unlikely to* increase inequality