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Course Level
Introduction
Delivery Method
Live Instructor-Led Virtual Course
Professional Development Credit Hours
4
Pre-requisites
There is no pre-requisite for this course.


Faculty

Dr. Carlos Blanco is a financial risk management expert with over 20 years of diverse experience in energy markets. He has worked with some of the largest energy and commodity market firms worldwide providing educational, advisory services and software solutions.

He is the managing director of analytic solutions for Ascend Analytics. He has advised risk groups and senior management in oil, gas, power, mining and trading firms on various matters related to the risk management process including risk policy, hedging strategy, risk model development and validation, risk appetite and risk metrics.

Dr. Blanco is an active faculty member for Mennta Energy Solutions since 2004, and he has conducted a wide range of energy derivatives hedging, pricing and risk management seminars worldwide. A frequent conference speaker and writer, he has coauthored over 150 articles for Energy Risk Magazine, Commodities Now, Energy Metro Desk, Oil and Gas Journal and others.

He is a former VP Risk Solutions at Financial Engineering Associates, Inc (a MSCI/BARRA Company), where he managed the market risk suite of products as well as the firm's product support and professional services group. He also taught finance at the University of California, Berkeley, and the ABN AMRO Academy. He is a former VP Risk Solutions at Financial Engineering Associates, Inc (a MSCI/BARRA Company), where he managed the market risk suite of products as well as the firm’s product support and professional services group. He also taught finance at the University of California, Berkeley, and the ABN AMRO Academy. Dr. Blanco was recently awarded the GARP Sustainability and Climate Risk (SCR) certification.


Accreditations

NASBA: Mennta Energy Solutions is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org


CPD Certification Services: The CPD Certification Service works with Mennta Energy Solutions to ensure valuable knowledge is structured to complement the universal guidelines of Continuing Professional Development. Mennta Energy Solutions courses are approved by CPD at one credit per training hour.

Trading applications of Battery Storage (VIRTUAL) - BESS


Course Summary

This interactive VIRTUAL workshop is designed to introduce battery storage projects and their valuation and operations.

The course starts with an overview of the dynamics of a battery project and the keys to profitability. Then it will look at the main contract structures, arbitrage, charge/discharge decisions, revenue optimization and batteries as a hedge.

From there the course explores bidding strategy assessments, storage valuation, and probabilistic forecasting.  Multiple case studies will show co-optimization of renewables + storage, day-ahead energy, ancillary services, and real-time energy markets under uncertainty.


Who Should Attend?

  • Renewable and Battery owners
  • Energy Traders and Analysts
  • Investors and Developers
  • Utilities
  • Regulators
  • Market and Credit Risk managers
  • Audit and Legal teams

Course Content

Introduction to Battery Storage Projects

  • Batteries as the new Flex Power Plants
  • Main characteristics of battery project
  • Main Contract Structures
  • Keys to profitable battery projects: Optimal siting, sizing, valuation and operations
  • Arbitrage between Day Ahead and real time market
  • Optimal charge and discharge decisions
  • Revenue optimization given both physical characteristics and ISO market rules
  • Batteries as a physical hedge for renewables


Battery Storage: Valuation and Operations

  • Revenue optimization given both physical characteristics and ISO market rules
  • Assessment of different bidding strategies for energy and ancillary services
  • Energy Storage Valuation: Optimization and dispatch models with perfect and imperfect foresight
  • Integration of probabilistic forecasting of market conditions with optimization.
  • Profit maximization with strategic operations and bidding
  • Case study: co-optimization of renewables + storage
  • Case study: Co-optimization of day-ahead energy, ancillary services, and real-time energy markets under uncertainty

Learn Energy
In the Classroom or Online

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