@misc{30677,
  author       = {{Meschede, Henning}},
  publisher    = {{AHK}},
  title        = {{{Energy efficiency in industrial processes – best practice}}},
  year         = {{2020}},
}

@article{24633,
  author       = {{Schlosser, Florian and Seevers, Jan-Peter and Peesel, Ron-Hendrik and Walmsley, Timothy Gordon}},
  issn         = {{0360-5442}},
  journal      = {{Energy}},
  pages        = {{395--406}},
  title        = {{{System efficient integration of standby control and heat pump storage systems in manufacturing processes}}},
  doi          = {{10.1016/j.energy.2019.05.113}},
  year         = {{2019}},
}

@article{24634,
  abstract     = {{<jats:p>For increased total site heat integration, the optimal sizing and robust operation of a heat recovery loop (HRL) are prerequisites for economic efficiency. However, sizing based on one representative time series, not considering the variability of process streams due to their discontinuous operation, often leads to oversizing. The sensitive evaluation of the performance of an HRL by Monte Carlo (MC) simulation requires sufficient historical data and performance models. Stochastic time series are generated by distribution functions of measured data. With these inputs, one can then model and reliably assess the benefits of installing a new HRL. A key element of the HRL is a stratified heat storage tank. Validation tests of a stratified tank (ST) showed sufficient accuracy with acceptable simulation time for the variable layer height (VLH) multi-node (MN) modelling approach. The results of the MC simulation of the HRL system show only minor yield losses in terms of heat recovery rate (HRR) for smaller tanks. In this way, costs due to oversizing equipment can be reduced by better understanding the energy-capital trade-off.</jats:p>}},
  author       = {{Schlosser, Florian and Peesel, Ron-Hendrik and Meschede, Henning and Philipp, Matthias and Walmsley, Timothy and Walmsley, Michael and Atkins, Martin}},
  issn         = {{1996-1073}},
  journal      = {{Energies}},
  title        = {{{Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation}}},
  doi          = {{10.3390/en12050930}},
  year         = {{2019}},
}

@inproceedings{24638,
  author       = {{Schlosser, Florian and Arpagaus, Cordin and Walmsley, Timothy G.}},
  booktitle    = {{Chemical Engineering Transactions}},
  location     = {{Crete}},
  pages        = {{7--12}},
  title        = {{{Heat Pump Integration by Pinch Analysis for Industrial Applications: A Review}}},
  doi          = {{10.3303/CET1976002}},
  volume       = {{76}},
  year         = {{2019}},
}

@inproceedings{24639,
  author       = {{Seevers, Jan-Peter and Schlosser, Florian}},
  booktitle    = {{Chemical Engineering Transactions}},
  location     = {{Crete}},
  pages        = {{373--378}},
  title        = {{{Integration of Heat Pump Storage Systems in Manufacturing Systems via Data Farming and Monte Carlo Simulation}}},
  doi          = {{10.3303/CET1976063}},
  volume       = {{76}},
  year         = {{2019}},
}

@inproceedings{24640,
  author       = {{Selleneit, Volker and Stockl, Martin and Philipp, Matthias and Mast, Tanja and Schlosser, Florian}},
  booktitle    = {{Chemical Engineering Transactions}},
  pages        = {{973--978}},
  title        = {{{System Efficiency Rating of Industrial Utilities in Electricity Grids with a high share of Variable Renewable Energies}}},
  doi          = {{10.3303/CET1976163}},
  volume       = {{76}},
  year         = {{2019}},
}

@article{21617,
  abstract     = {{<jats:p>In the fight against anthropogenic climate change, the benefit of the integration of fluctuating renewable energies (wind and photovoltaics) into the electricity grid is a widely proved concept. At the same time, a fluctuating and decentralised supply of energy, especially at lower voltage levels, leads to a local discrepancy in the power balance between generation and consumption. A possible solution in connection with demand side management is the grid-oriented flexibilisation of energy demand. The present study shows how the use of an innovative hybrid-redundant high-temperature heat system (combined heat and power (CHP), power-to-heat system (PtH), gas boiler) can contribute to a flexibilisation of the electrical energy demand of plastics processing companies. In this context, the flexibilisation potential of a company is to be understood as the grid-related change of the energy supply through a change of the energy sources within the framework of the process heat supply. For this purpose, an omniscient control algorithm is developed that specifies the schedule of the individual system components. A sensitivity analysis is used to test the functionality of the control algorithm. Determination of the electrical flexibilisation potential is carried out via a comprehensive simulation study using Monte Carlo methods. For this purpose, the residual load curves of four characteristic distribution grids with a high share of renewable energies as well as heat load profiles of injection moulding machines are taken into consideration. A frequency distribution provides information on the electrical flexibilisation potential to be expected depending on the various combinations. The evaluation is carried out using a specially introduced logic, which identifies grid-relevant changes in the company's power consumption as flexibilisation potential based on a reference load curve. The results show that a reliable energy supply for production is possible despite flexibilisation. Depending on the grid under consideration, there are differences in the exploitation of the potential, which essentially depends on the installed renewable capacity. Depending on the scenario under consideration, an average of up to 1486 kWhel can be shifted in a positive direction and 1199 kWhel in a negative direction.</jats:p>}},
  author       = {{Dunkelberg, Heiko and Sondermann, Maximilian and Meschede, Henning and Hesselbach, Jens}},
  issn         = {{1996-1073}},
  journal      = {{Energies}},
  title        = {{{Assessment of Flexibilisation Potential by Changing Energy Sources Using Monte Carlo Simulation}}},
  doi          = {{10.3390/en12040711}},
  year         = {{2019}},
}

@article{21614,
  abstract     = {{Renewable energy and storage systems are widely discussed to minimise the impact of global warming. In addition to the temporal resolution of simulation tools, also the chosen input data might have a strong impact on the performance of renewable energy systems, and energy storage systems in particular. This study analyses the impact of probabilistic weather data on the design of renewable energy systems. The main objective is hereby the determination of the robustness of a recently state-of-the-art design process of a 100% renewable energy and storage system with varying probabilistic input data. The island of La Gomera, Canary Islands, is taken as a case study. Although all analysed systems show some variance in their results, the combination of vehicle-to-grid and power-to-hydrogen shows the best economic performance. Hereby, small island energy systems depending heavily on wind energy show higher variations than those with high shares of solar energy. This analysis illustrates clearly that the choice of one historical reference year is not suitable to determine the expected performance of an energy system. To learn about their sensitivity, synthetic probabilistic inputs as applied in this study are a good way to determine both the expected mean values and their variance.}},
  author       = {{Meschede, Henning and Hesselbach, Jens and Child, Michael and Breyer, Christian}},
  journal      = {{International Journal of Sustainable Energy Planning and Management}},
  title        = {{{On the impact of probabilistic weather data on the economically optimal design of renewable energy systems – a case study on La Gomera island}}},
  doi          = {{10.5278/IJSEPM.3142}},
  year         = {{2019}},
}

@article{21618,
  author       = {{Dunkelberg, Heiko and Schlosser, Florian and Veitengruber, Frank and Meschede, Henning and Heidrich, Tobias}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  title        = {{{Classification and clustering of the German plastic industry with a special focus on the implementation of low and high temperature waste heat}}},
  doi          = {{10.1016/j.jclepro.2019.117784}},
  year         = {{2019}},
}

@article{21612,
  author       = {{Meschede, Henning and Esparcia, Eugene A. and Holzapfel, Peter and Bertheau, Paul and Ang, Rosario C. and Blanco, Ariel C. and Ocon, Joey D.}},
  issn         = {{0306-2619}},
  journal      = {{Applied Energy}},
  title        = {{{On the transferability of smart energy systems on off-grid islands using cluster analysis – A case study for the Philippine archipelago}}},
  doi          = {{10.1016/j.apenergy.2019.05.093}},
  year         = {{2019}},
}

@article{21616,
  author       = {{Seevers, J-P. and Johst, J. and Weiß, T. and Meschede, Henning and Hesselbach, J.}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  pages        = {{695--700}},
  title        = {{{Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools}}},
  doi          = {{10.1016/j.procir.2019.03.178}},
  year         = {{2019}},
}

@article{21613,
  author       = {{Meschede, Henning}},
  issn         = {{0360-5442}},
  journal      = {{Energy}},
  pages        = {{810--817}},
  title        = {{{Increased utilisation of renewable energies through demand response in the water supply sector – A case study}}},
  doi          = {{10.1016/j.energy.2019.03.137}},
  year         = {{2019}},
}

@article{24635,
  author       = {{Philipp, Matthias and Schumm, Gregor and Heck, Patrick and Schlosser, Florian and Peesel, Ron-Hendrik and Walmsley, Timothy G. and Atkins, Martin J.}},
  issn         = {{0360-5442}},
  journal      = {{Energy}},
  pages        = {{995--1010}},
  title        = {{{Increasing energy efficiency of milk product batch sterilisation}}},
  doi          = {{10.1016/j.energy.2018.09.002}},
  year         = {{2018}},
}

@inproceedings{24667,
  author       = {{Seevers, Jan-Peter and Schlosser, Florian and Hechelmann, Ron-Hendrik and Hesselbach, Jens}},
  booktitle    = {{Chemical Engineering Transactions}},
  location     = {{Prague}},
  pages        = {{787--792}},
  title        = {{{Dimensioning of Heat Pump Systems Based on Pinch Analysis and Energy Monitoring Data}}},
  doi          = {{10.3303/CET1870132}},
  volume       = {{70}},
  year         = {{2018}},
}

@inproceedings{24668,
  author       = {{Hechelmann, Ron-Hendrik and Schlosser, Florian and Schaumburg, Christian and Meschede, Henning and Dunkelberg, Heiko and Walmsley, Timothy G.}},
  booktitle    = {{Chemical Engineering Transactions}},
  location     = {{Prague}},
  title        = {{{Predictive Simulation-based Optimisation of Cooling System Including a Sprinkler Tank}}},
  doi          = {{10.3303/CET1870059}},
  year         = {{2018}},
}

@inproceedings{24679,
  author       = {{Schlosser, Florian and Dunkelberg, Heiko and Veitengruber, Frank and Meschede, Henning and Pag, Felix and Schmitt, Bastian}},
  location     = {{Graz}},
  title        = {{{Experimental Assessment of Solar Process heat Potential of German Plastic Injection Moulders}}},
  year         = {{2018}},
}

@inproceedings{24665,
  author       = {{Schlosser, Florian and Hechelmann, Ron-Hendrik and Meschede, Henning and Matthias, Philipp and Walmsley, Timothy G.}},
  booktitle    = {{Chemical Engineering Transactions}},
  location     = {{Prague}},
  pages        = {{403--408}},
  title        = {{{Evaluation of a Stratified Tank based Heat Recovery Loop via Dynamic Simulation}}},
  doi          = {{10.3303/CET1870068}},
  volume       = {{70}},
  year         = {{2018}},
}

@article{24636,
  author       = {{Philipp, Matthias and Schumm, Gregor and Peesel, Ron-Hendrik and Walmsley, Timothy G. and Atkins, Martin J. and Schlosser, Florian and Hesselbach, Jens}},
  issn         = {{0360-5442}},
  journal      = {{Energy}},
  pages        = {{112--123}},
  title        = {{{Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions}}},
  doi          = {{10.1016/j.energy.2017.05.062}},
  year         = {{2017}},
}

@article{24637,
  author       = {{Schumm, G. and Philipp, M. and Schlosser, Florian and Hesselbach, J. and Walmsley, T. G. and Atkins, M. J.}},
  issn         = {{1570-646X}},
  journal      = {{Energy Efficiency}},
  pages        = {{1117--1133}},
  title        = {{{Hybrid heating system for increased energy efficiency and flexible control of low temperature heat}}},
  doi          = {{10.1007/s12053-017-9584-6}},
  year         = {{2017}},
}

@article{24675,
  author       = {{Matthias, Philipp and Schlosser, Florian and Hechelmann, Ron-Hendrik and Schumm, Gregor and Holzhammer, Uwe}},
  journal      = {{BWK Energie-Fachmagazin}},
  pages        = {{57--60}},
  title        = {{{Sektorkopplung Prozesswärme / Strom in der deutschen Industrie. Integration der erneuerbaren Energien in den Wärmesektor.}}},
  volume       = {{70}},
  year         = {{2017}},
}