In-Person event
Marketing Flexibility in a Virtual Power Plant
March 13-14, 2024
In-Person event
Marketing Flexibility in a Virtual Power Plant
March 13-14, 2024
In-Person event
Marketing Flexibility in a Virtual Power Plant
March 13-14, 2024
Summary
Florian Kühnlenz's and Guido Pleßmann's presentation on "Marketing Flexibility in a Virtual Power Plant" delves into the use of optimization techniques to market flexibility within Energy2market's (e2m) virtual power plant. By managing over 4000 assets, e2m leverages power production and flexibility to navigate various energy markets, especially as renewable energy integration increases. Kuhnlenz emphasizes the importance of understanding market dynamics for effective power and flexibility trading.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
With the rise of renewable energy adoption, traditional energy markets experience shifts, requiring adaptive power trading strategies. Understanding and responding to market behaviors, such as price fluctuations and grid stress events, presents significant challenges.
Solution
Energy2market addresses these challenges using its proprietary Presumed Optimization Library to tailor optimization problems for its virtual power plant. This involves modeling diverse energy assets and optimizing power generation schedules based on market trends. The process incorporates operational limits, market regulations, and grid requirements. Continuous and rolling optimization techniques allow e2m to dynamically respond to market changes and maximize revenue.
Results
The presentation highlights two use cases demonstrating the effectiveness of optimization. One involves a biogas power plant, where optimization aligns power generation with market price fluctuations. The other focuses on a solar power plant with battery storage, showing dynamic power trading adjustments based on real-time data. The results reveal significant revenue potential and grid support capabilities from optimized power trading strategies.
Summary
Florian Kühnlenz's and Guido Pleßmann's presentation on "Marketing Flexibility in a Virtual Power Plant" delves into the use of optimization techniques to market flexibility within Energy2market's (e2m) virtual power plant. By managing over 4000 assets, e2m leverages power production and flexibility to navigate various energy markets, especially as renewable energy integration increases. Kuhnlenz emphasizes the importance of understanding market dynamics for effective power and flexibility trading.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
With the rise of renewable energy adoption, traditional energy markets experience shifts, requiring adaptive power trading strategies. Understanding and responding to market behaviors, such as price fluctuations and grid stress events, presents significant challenges.
Solution
Energy2market addresses these challenges using its proprietary Presumed Optimization Library to tailor optimization problems for its virtual power plant. This involves modeling diverse energy assets and optimizing power generation schedules based on market trends. The process incorporates operational limits, market regulations, and grid requirements. Continuous and rolling optimization techniques allow e2m to dynamically respond to market changes and maximize revenue.
Results
The presentation highlights two use cases demonstrating the effectiveness of optimization. One involves a biogas power plant, where optimization aligns power generation with market price fluctuations. The other focuses on a solar power plant with battery storage, showing dynamic power trading adjustments based on real-time data. The results reveal significant revenue potential and grid support capabilities from optimized power trading strategies.
Summary
Florian Kühnlenz's and Guido Pleßmann's presentation on "Marketing Flexibility in a Virtual Power Plant" delves into the use of optimization techniques to market flexibility within Energy2market's (e2m) virtual power plant. By managing over 4000 assets, e2m leverages power production and flexibility to navigate various energy markets, especially as renewable energy integration increases. Kuhnlenz emphasizes the importance of understanding market dynamics for effective power and flexibility trading.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
With the rise of renewable energy adoption, traditional energy markets experience shifts, requiring adaptive power trading strategies. Understanding and responding to market behaviors, such as price fluctuations and grid stress events, presents significant challenges.
Solution
Energy2market addresses these challenges using its proprietary Presumed Optimization Library to tailor optimization problems for its virtual power plant. This involves modeling diverse energy assets and optimizing power generation schedules based on market trends. The process incorporates operational limits, market regulations, and grid requirements. Continuous and rolling optimization techniques allow e2m to dynamically respond to market changes and maximize revenue.
Results
The presentation highlights two use cases demonstrating the effectiveness of optimization. One involves a biogas power plant, where optimization aligns power generation with market price fluctuations. The other focuses on a solar power plant with battery storage, showing dynamic power trading adjustments based on real-time data. The results reveal significant revenue potential and grid support capabilities from optimized power trading strategies.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Account Executive, Renewals-Japan
Pawit Singcornrum
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
