@incollection{SporlederRathJansenetal., author = {Sporleder, Maximilian and Rath, Michael and Jansen, Markus and Mann, Robin}, title = {A mixed-integer linear programming approach for an optimal-economic design of renewable district heating systems: a case study for a German grid}, series = {Handbook on the economics of renewable energy}, booktitle = {Handbook on the economics of renewable energy}, editor = {R{\´i}o, Pablo del and Ragwitz, Mario}, publisher = {Edward Elgar Publishing}, address = {Cheltenham, UK ; Northampton, Massachusetts, USA}, isbn = {978-1-80037-901-5}, doi = {10.4337/9781800379022.00024}, pages = {340 -- 363}, language = {en} } @misc{SporlederRathXuetal., author = {Sporleder, Maximilian and Rath, Michael and Xu, Yuwei and Beek, Mathias van and Ragwitz, Mario}, title = {Utilizing Historical Operating Data to increase Accuracy for Optimal Seasonal Storage Integration and Planning}, series = {36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023), Las Palmas De Gran Canaria, Spain}, journal = {36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023), Las Palmas De Gran Canaria, Spain}, publisher = {ECOS}, doi = {10.52202/069564-0202}, pages = {2241 -- 2252}, abstract = {Policies reasoned by global climate change and increasing commodity prices due to the international energy crisis force district heating providers to transform their assets. Pit thermal energy storage combined with solar energy can improve this transformation process. Optimal energy planning of district heating systems is often achieved by applying a linear programming model due to its fast computing. Unfortunately, depicting those systems in linear programming requires complexity reduction. We introduce a method capable of designing and operating the system with the complexity increase of considering the top and bottom temperatures of the pit thermal energy storage in linear programming. Firstly, we extract and clean data from existing sites and simulations of seasonal storages. Secondly, we develop a polynomial regression model based on the extracted data to predict the top and bottom temperatures. Lastly, we develop a mixed-integer linear programming model using the predictions and compare it to existing sites. The model uses solar thermal energy, a pit thermal energy storage, and other units to meet the demand of a district heating system. The polynomial regression results show an accuracy of up to 92 \% with only a few features to base the prediction. The optimization model can design the storage and depict the correlation between decreasing specific costs and thermal losses due to an increasing volume. The control strategy of the heat pump requires further improvement.}, language = {en} } @misc{SporlederRathRagwitz, author = {Sporleder, Maximilian and Rath, Michael and Ragwitz, Mario}, title = {Solar thermal vs. PV with a heat pump: a comparison of different charging technologies for seasonal storage systems in district heating networks}, series = {Energy Conversion and Management: X}, volume = {22}, journal = {Energy Conversion and Management: X}, publisher = {Elsevier BV}, issn = {2590-1745}, doi = {10.1016/j.ecmx.2024.100564}, pages = {27}, abstract = {Heat pumps and battery electric vehicles play a crucial role in achieving a climate-neutral economy and integrating the Energy Efficiency First Principle into the building and transport sectors, rendering the overall energy system more efficient. To achieve cost competitiveness of these new technologies compared to conventional ones, investments, operating costs and conversion efficiencies are important. We conducted micro-simulations of the development of levelised cost of heat and transport for these sector coupling technologies to assess the direct cost impact of these parameters. With a broad and in-depth analysis of economies of scale, we determine future bandwidths of investment development. Based on this data, we compared implications of two policy scenarios of taxes and levies on final energy prices using a German case study. The first scenario considers recently adjusted taxes and levies: the national emissions trading system in 2021 and the abolishment of the electricity levy to finance renewable energy support in 2022. A counterfactual scenario includes previous framework conditions. Our results show that rising carbon and lower electricity prices already economically favour heat pumps from 2020 onwards. In contrast, taxes and levies do not decisively impact the cost competitiveness of battery electric vehicles, but expected reductions in manufacturing cost do.}, language = {en} }