In-Person event

Long-term scenarios International/National

March 13-14, 2024

In-Person event

Long-term scenarios International/National

March 13-14, 2024

In-Person event

Long-term scenarios International/National

March 13-14, 2024

Summary

In his presentation on long-term energy scenarios, Dr. Frank Sensfuß discusses the critical role of mathematical optimization in achieving climate protection goals for the Federal Ministry for Economy in Germany. He emphasizes the necessity of modeling and scientific policy advice in addressing uncertainty and outlines the comprehensive approach his team takes in evaluating various pathways to decarbonization.

To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.

Challenges

The primary challenge faced by Dr. Sensfuß and his team is the inherent uncertainty in predicting the most effective methods for achieving climate protection. Traditional approaches using single "lighthouse scenarios" have proven inadequate, necessitating a broader exploration of multiple scenarios, including those focused on electricity, hydrogen, and hydrocarbons. The urgency of climate science further complicates their work, especially as Germany targets full carbon neutrality by 2045. This ambitious goal demands high shares of renewables, new energy carriers, and effective carbon management, all of which are influenced by global trade and weather variability.

Solution

To tackle these challenges, Dr. Sensfuß’s team employs a detailed bottom-up modeling approach, integrating demand projections from various sectors into a large linear optimization model known as the NATO model. This model, with its intricate linkages to electricity and gas grid models, enables a high-resolution analysis of the entire energy system. Optimization is crucial in this context, as it helps identify the most cost-effective pathways and manage the complex interactions within the energy system. The team’s switch from agent-based modeling to optimization reflects their need for precise and reliable policy advice in the face of an increasingly complex energy landscape.

Results

The modeling results reveal significant insights into the future of energy in Europe. For instance, Germany’s high energy demand necessitates substantial energy imports, primarily from Spain, the Balkan regions, the UK, and Scandinavia. These imports are facilitated by robust electricity and hydrogen trading networks. Within Germany, regional energy trade, especially from the north to the south, highlights the importance of grid flexibility and storage solutions. The need for substantial heat and hydrogen storage is underscored, given the mismatch between renewable energy production (mainly in summer) and peak demand (often in winter).

Summary

In his presentation on long-term energy scenarios, Dr. Frank Sensfuß discusses the critical role of mathematical optimization in achieving climate protection goals for the Federal Ministry for Economy in Germany. He emphasizes the necessity of modeling and scientific policy advice in addressing uncertainty and outlines the comprehensive approach his team takes in evaluating various pathways to decarbonization.

To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.

Challenges

The primary challenge faced by Dr. Sensfuß and his team is the inherent uncertainty in predicting the most effective methods for achieving climate protection. Traditional approaches using single "lighthouse scenarios" have proven inadequate, necessitating a broader exploration of multiple scenarios, including those focused on electricity, hydrogen, and hydrocarbons. The urgency of climate science further complicates their work, especially as Germany targets full carbon neutrality by 2045. This ambitious goal demands high shares of renewables, new energy carriers, and effective carbon management, all of which are influenced by global trade and weather variability.

Solution

To tackle these challenges, Dr. Sensfuß’s team employs a detailed bottom-up modeling approach, integrating demand projections from various sectors into a large linear optimization model known as the NATO model. This model, with its intricate linkages to electricity and gas grid models, enables a high-resolution analysis of the entire energy system. Optimization is crucial in this context, as it helps identify the most cost-effective pathways and manage the complex interactions within the energy system. The team’s switch from agent-based modeling to optimization reflects their need for precise and reliable policy advice in the face of an increasingly complex energy landscape.

Results

The modeling results reveal significant insights into the future of energy in Europe. For instance, Germany’s high energy demand necessitates substantial energy imports, primarily from Spain, the Balkan regions, the UK, and Scandinavia. These imports are facilitated by robust electricity and hydrogen trading networks. Within Germany, regional energy trade, especially from the north to the south, highlights the importance of grid flexibility and storage solutions. The need for substantial heat and hydrogen storage is underscored, given the mismatch between renewable energy production (mainly in summer) and peak demand (often in winter).

Summary

In his presentation on long-term energy scenarios, Dr. Frank Sensfuß discusses the critical role of mathematical optimization in achieving climate protection goals for the Federal Ministry for Economy in Germany. He emphasizes the necessity of modeling and scientific policy advice in addressing uncertainty and outlines the comprehensive approach his team takes in evaluating various pathways to decarbonization.

To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.

Challenges

The primary challenge faced by Dr. Sensfuß and his team is the inherent uncertainty in predicting the most effective methods for achieving climate protection. Traditional approaches using single "lighthouse scenarios" have proven inadequate, necessitating a broader exploration of multiple scenarios, including those focused on electricity, hydrogen, and hydrocarbons. The urgency of climate science further complicates their work, especially as Germany targets full carbon neutrality by 2045. This ambitious goal demands high shares of renewables, new energy carriers, and effective carbon management, all of which are influenced by global trade and weather variability.

Solution

To tackle these challenges, Dr. Sensfuß’s team employs a detailed bottom-up modeling approach, integrating demand projections from various sectors into a large linear optimization model known as the NATO model. This model, with its intricate linkages to electricity and gas grid models, enables a high-resolution analysis of the entire energy system. Optimization is crucial in this context, as it helps identify the most cost-effective pathways and manage the complex interactions within the energy system. The team’s switch from agent-based modeling to optimization reflects their need for precise and reliable policy advice in the face of an increasingly complex energy landscape.

Results

The modeling results reveal significant insights into the future of energy in Europe. For instance, Germany’s high energy demand necessitates substantial energy imports, primarily from Spain, the Balkan regions, the UK, and Scandinavia. These imports are facilitated by robust electricity and hydrogen trading networks. Within Germany, regional energy trade, especially from the north to the south, highlights the importance of grid flexibility and storage solutions. The need for substantial heat and hydrogen storage is underscored, given the mismatch between renewable energy production (mainly in summer) and peak demand (often in winter).

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

    Image

    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

    Image

    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

    Image

    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

    Image

    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

    Image

    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.

  • Image

    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. 

  • Image

    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.

  • Image

    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.

  • Image

    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.

  • Image

    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

    Image

    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

    Image

    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

    Image

    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

    Image

    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

    Image

    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.