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Reference Projects

Energy Concept for the Sonnenwald Community

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.

Project Scope

The Sonnenwald community, consisting of approximately 70 residents, is located in Schernbach in the northern Black Forest. The energy concept addressed two main areas:

  • Upper Farm: The main area of residential buildings, an industrial kitchen, a gymnasium, workshops, a former swimming pool, and an existing district heating network.
  • Lower Farm: Two residential buildings (one used for seminars) and unused, unheated barns and agricultural facilities.
Scenario 1: Shared Supply

Figure 1: Scenario 1 – Shared Supply. Created based on a thesis by Daniel Schaake.

Initial Situation

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.

Energy Supply Scenarios

As part of the SmartBioGrid research project (TU Dresden, Institute of Power Engineering), two scenarios were examined:

1. Scenario 1 – Shared Supply

  • Heating center at the Lower Farm
  • Heat pipeline to the Upper Farm
  • Use of PV surfaces at the Lower Farm
  • Advantages: centralized energy supply, optimized land use
  • Disadvantages: heat losses, construction effort for heat and electricity pipelines

2. Scenario 2 – Separate Supply

  • Heating center at the Upper Farm for the existing district heating network
  • Pellet heating for the Lower Farm
  • Advantages: decentralized supply, less construction effort
  • Disadvantages: limited space at the Upper Farm

Technologies Compared

  • Wood chip heating
  • Heat storage for Upper and Lower Farms
  • Heat pump
  • Additional PV systems (depending on scenario)
  • Pellet heating (only for separate supply)

Optimization was carried out using the FlixOpt optimization framework (TU Dresden).

Results

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.

  • Scenario 2 – Separate Supply: The buildings at the Lower Farm are each equipped with a pellet heater.
  • Scenario 1 – Shared Supply: The PV surfaces of the Lower Farm are extensively used to provide the generated electricity for the heat pump and other consumers at the Upper Farm.

The available PV surfaces were only partially used and installed exclusively in a southern orientation in both variants.

Technology Comparison

Figure 3: Technology Comparison. Created based on calculation results in Excel.

Decision of the Sonnenwald Community

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:

  • Heat losses in the pipeline between the farms
  • Higher construction effort in Scenario 1
  • PV use at the Lower Farm was omitted in Scenario 1

Further information and detailed results are available in the project report by TU Dresden: SmartBioGrid.

AWS Cloud-Based Portfolio Website with ChatGPT Integration

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.

image of portfolio website infrastructure

Overview

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.

Privacy and Implementation

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.

Architecture

The architecture comprises the following AWS services:

  • S3 Buckets: Host the static website and manage redirections.
  • CloudFront Distributions: Cater to content delivery, caching, and HTTPS requests.
  • Route 53: Links domain names to the respective resources.
  • API Gateway: Triggers the Lambda function corresponding to the request's resource path.
  • Lambda Functions: Handles chat interactions (via ChatGPT integration) and forwards emails.
  • SES (Simple Email Service): Facilitates email forwarding from the contact form to a personal email account.
  • Secrets Manager: Safeguards the ChatGPT API key.

You can access the associated Terraform code in this GitHub repository.

Static Portfolio Website

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.

Structure and Content

The website is organized into five main sections:

  • Home: Presents a brief introduction and primary career highlights.
  • About: Provides detailed insight into the individual's background, skills, qualifications, and unique value proposition.
  • Resume: Offers a comprehensive account of academic history, professional experience, certifications, and other relevant details.
  • Projects: Showcases a variety of projects executed, demonstrating practical experience and expertise.
  • Contact: Allows visitors to get in touch via a form, which triggers an automated email through AWS Simple Email Service (SES) upon submission.

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.

Source Files

For the website's source files (HTML, CSS, JS, etc.), please refer to this Portfolio Page Repository.