Project Period: July 2022 – November 2022
Development of a sustainable energy concept for a plant with 900 kW of thermal capacity to reduce CO₂ emissions and lower costs.
The Sonnenwald community, consisting of approximately 70 residents, is located in Schernbach in the northern Black Forest. The energy concept addressed two main areas:
Figure 1: Scenario 1 – Shared Supply. Created based on a thesis by Daniel Schaake.
The previous heat supply was based on a central 900 kW oil heating system at the Upper Farm and decentralized oil heaters at the Lower Farm. The goal was to develop a sustainable alternative. The analysis showed that wood chips were the most ecologically viable energy source. Options such as energy wood from the forest or paper sludge were excluded due to technical challenges. Photovoltaic surfaces were limited.
As part of the SmartBioGrid research project (TU Dresden, Institute of Power Engineering), two scenarios were examined:
Optimization was carried out using the FlixOpt optimization framework (TU Dresden).
The optimization results for Scenario 1 and Scenario 2 are shown in the figure below. Both scenarios rely on a combination of a combined heat and power unit (CHP) and a heat pump.
The available PV surfaces were only partially used and installed exclusively in a southern orientation in both variants.
Figure 3: Technology Comparison. Created based on calculation results in Excel.
Due to comparable costs, less construction effort, and bureaucratic hurdles for the heat and electricity pipelines, the community decided on Scenario 2 – Separate Supply.
Cost Type | Scenario 1 – Shared | Scenario 2 – Separate |
---|---|---|
Investment Costs | €42,965 | €34,913 |
Operating Costs | €64,620 | €69,093 |
Total Costs | €107,585 | €104,006 |
Reasons for the small differences:
Further information and detailed results are available in the project report by TU Dresden: SmartBioGrid.
Project Period: May 2023
This project houses the Infrastructure as Code (IaC) necessary for deploying a personal portfolio website on AWS. It employs an array of AWS services and incorporates a real-time chat interface powered by OpenAI's ChatGPT.
The portfolio website, aside from showcasing work, includes a contact form and a real-time chat interface. Both functionalities are achieved through AWS services, providing a serverless, scalable, and secure solution. Notably, the website caters to both 'www' and non-www redirections through a separate S3 bucket and CloudFront distribution. All buckets are private, with access limited to specific identities and roles.
The design of the website prioritizes user privacy, with no cookies being stored during site usage. This ensures user data privacy and GDPR compliance. Technically, the website's frontend is hosted on an Amazon S3 bucket, with a separate S3 bucket managing redirection for 'www' and non-'www' traffic. All buckets are private and accessible only via specific access identities and roles. The website utilizes AWS services for functionalities like email forwarding and chatbot operation.
The architecture comprises the following AWS services:
You can access the associated Terraform code in this GitHub repository.
Project Period: May 2023
This project encompasses the codebase for a static portfolio website designed to effectively showcase the individual's background, skills, projects, and provide an intuitive contact form. The aim is to deliver a user-friendly and engaging platform to highlight the professional journey and accomplishments.
The website is organized into five main sections:
An integrated chat interface, powered by OpenAI's GPT-4 model, enhances the user experience by offering a dynamic way to learn more about the individual's profile. The website design is clean, modern, and user-friendly, providing a seamless experience across various devices and platforms.
For the website's source files (HTML, CSS, JS, etc.), please refer to this Portfolio Page Repository.