In-Person event
Optimizing Electric Distribution Planning with SAInt
March 13-14, 2024
In-Person event
Optimizing Electric Distribution Planning with SAInt
March 13-14, 2024
In-Person event
Optimizing Electric Distribution Planning with SAInt
March 13-14, 2024
Summary
Andres Peluso's and Joel Jose's presentation on solving the electrification problem examines the complexities of transitioning energy consumption from gas to electricity, particularly in residential sectors. The shift towards electrification, driven by trends like heat pump adoption, requires utilities to rethink planning processes traditionally hindered by siloed approaches and inadequate optimization.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
The electrification of end-user sectors poses challenges for utilities in planning and optimizing infrastructure. Siloed processes and disparate software tools inhibit effective communication and integration of data, complicating decision-making amidst evolving technologies and regulatory requirements. Balancing consumer demands while ensuring grid reliability and compliance further complicates utility efforts.
Solution
Peluso proposes an integrated planning approach to address electrification challenges, aiming to enhance communication between utility departments and optimize decision-making processes. Through a unified planning tool, utilities can consolidate data sources, evaluate electrification options' cost-effectiveness, optimize distributed energy resource placement, and conduct scenario analyses to anticipate future demands and constraints.
Results
A real-world pilot project in the northeastern US illustrates the complexities and potential solutions in electrification planning. Converting 400 gas customers to electric alternatives necessitated substantial substation upgrades to manage peak demand. However, exploring non-wire alternatives such as distributed energy resources and battery storage provided cost-efficient solutions to mitigate grid constraints and enhance reliability.
Peluso emphasizes the importance of a systematic and integrated approach to electrification planning, integrating optimization tools with infrastructure considerations. The presentation underscores the pivotal role of innovative planning in navigating energy system transitions, optimizing investments, and ensuring a resilient and sustainable energy future. By leveraging integrated planning platforms, utilities can effectively manage the complexities of electrification and meet evolving energy demands.
Summary
Andres Peluso's and Joel Jose's presentation on solving the electrification problem examines the complexities of transitioning energy consumption from gas to electricity, particularly in residential sectors. The shift towards electrification, driven by trends like heat pump adoption, requires utilities to rethink planning processes traditionally hindered by siloed approaches and inadequate optimization.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
The electrification of end-user sectors poses challenges for utilities in planning and optimizing infrastructure. Siloed processes and disparate software tools inhibit effective communication and integration of data, complicating decision-making amidst evolving technologies and regulatory requirements. Balancing consumer demands while ensuring grid reliability and compliance further complicates utility efforts.
Solution
Peluso proposes an integrated planning approach to address electrification challenges, aiming to enhance communication between utility departments and optimize decision-making processes. Through a unified planning tool, utilities can consolidate data sources, evaluate electrification options' cost-effectiveness, optimize distributed energy resource placement, and conduct scenario analyses to anticipate future demands and constraints.
Results
A real-world pilot project in the northeastern US illustrates the complexities and potential solutions in electrification planning. Converting 400 gas customers to electric alternatives necessitated substantial substation upgrades to manage peak demand. However, exploring non-wire alternatives such as distributed energy resources and battery storage provided cost-efficient solutions to mitigate grid constraints and enhance reliability.
Peluso emphasizes the importance of a systematic and integrated approach to electrification planning, integrating optimization tools with infrastructure considerations. The presentation underscores the pivotal role of innovative planning in navigating energy system transitions, optimizing investments, and ensuring a resilient and sustainable energy future. By leveraging integrated planning platforms, utilities can effectively manage the complexities of electrification and meet evolving energy demands.
Summary
Andres Peluso's and Joel Jose's presentation on solving the electrification problem examines the complexities of transitioning energy consumption from gas to electricity, particularly in residential sectors. The shift towards electrification, driven by trends like heat pump adoption, requires utilities to rethink planning processes traditionally hindered by siloed approaches and inadequate optimization.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
The electrification of end-user sectors poses challenges for utilities in planning and optimizing infrastructure. Siloed processes and disparate software tools inhibit effective communication and integration of data, complicating decision-making amidst evolving technologies and regulatory requirements. Balancing consumer demands while ensuring grid reliability and compliance further complicates utility efforts.
Solution
Peluso proposes an integrated planning approach to address electrification challenges, aiming to enhance communication between utility departments and optimize decision-making processes. Through a unified planning tool, utilities can consolidate data sources, evaluate electrification options' cost-effectiveness, optimize distributed energy resource placement, and conduct scenario analyses to anticipate future demands and constraints.
Results
A real-world pilot project in the northeastern US illustrates the complexities and potential solutions in electrification planning. Converting 400 gas customers to electric alternatives necessitated substantial substation upgrades to manage peak demand. However, exploring non-wire alternatives such as distributed energy resources and battery storage provided cost-efficient solutions to mitigate grid constraints and enhance reliability.
Peluso emphasizes the importance of a systematic and integrated approach to electrification planning, integrating optimization tools with infrastructure considerations. The presentation underscores the pivotal role of innovative planning in navigating energy system transitions, optimizing investments, and ensuring a resilient and sustainable energy future. By leveraging integrated planning platforms, utilities can effectively manage the complexities of electrification and meet evolving energy demands.
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.
