Development of a Computational Tool for Evaluating Energy Storage Installations in the Swedish Electricity Market
Project goal
This thesis project involves the development of a software tool designed to analyze the profitability and potential impact of installing energy storage solutions within the Swedish electricity market. During the work the student will be compare real properties and determine the most suitable investment strategies based on actual consumption data, market conditions, and future outlooks. Ample support and site visits are included.
Key Areas of Investigation
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Different applications for energy storage systems
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Peak shaving, electricity price arbitrage, ancillary services and other flexibility markets
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Future of the Electricity Market
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Examine future of electricity market through development plans, potentially supported by stakeholder interviews.
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Synergies with solar PV
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Assess how solar panels and energy storage solutions can complement one another.
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Additional Research (Time and Resources Permitting):
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Integrating solar production data from PVGIS via API
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Exploring hydrogen storage & utilization including thermal storage
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Forecasting future electricity consumption
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Projecting long-term electricity prices and ancillary service market trends
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Objectives
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Develop a fully functional software tool for profitability analyses, featuring intuitive data visualization and result presentation.
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Provide well-documented and developer-friendly source code to facilitate ongoing development and improvements.
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Present a selection of the most promising properties for energy storage investments for the studied properties, including comprehensive sensitivity analyses.
We welcome applicants with a keen interest in sustainable energy, programming, and economic modeling. This project provides a valuable opportunity to engage directly with emerging energy technologies, gain firsthand industry insights with good career opportunities, and contribute to shaping the future energy landscape.
How to Apply
• Prepare a short (one page – 1 to max 3 paragraphs) motivation letter about why you with to take on this topic
• Attach your transcript of your MSc studies
• Attach a CV
• KTH students are prioritised, but not limited to
Send to: Farzin Golzar and Deniz Önder
We look forward to receiving your application!
KTH Supervisor and examiner
