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7 Publications


2024 | Journal Article | LibreCat-ID: 54461
Divkovic, D., Knorr, L., Schwesig, R., & Meschede, H. (2024). Effects on dimensioning of heat supply technologies for district heating under consideration of future developments regarding investment costs and emission factors. Energy, 301, Article 131663. https://doi.org/10.1016/j.energy.2024.131663
LibreCat | DOI
 

2024 | Journal Article | LibreCat-ID: 57942
Meschede, H., Piacentino, A., Guzovic, Z., Lund, H., & Duic, N. (2024). Integrated renewable energy systems as the basis for sustainable development of energy, water and environment systems. Energy, 313, Article 133737. https://doi.org/10.1016/j.energy.2024.133737
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 24633
Schlosser, F., Seevers, J.-P., Peesel, R.-H., & Walmsley, T. G. (2019). System efficient integration of standby control and heat pump storage systems in manufacturing processes. Energy, 395–406. https://doi.org/10.1016/j.energy.2019.05.113
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 21613
Meschede, H. (2019). Increased utilisation of renewable energies through demand response in the water supply sector – A case study. Energy, 810–817. https://doi.org/10.1016/j.energy.2019.03.137
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24635
Philipp, M., Schumm, G., Heck, P., Schlosser, F., Peesel, R.-H., Walmsley, T. G., & Atkins, M. J. (2018). Increasing energy efficiency of milk product batch sterilisation. Energy, 995–1010. https://doi.org/10.1016/j.energy.2018.09.002
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 24636
Philipp, M., Schumm, G., Peesel, R.-H., Walmsley, T. G., Atkins, M. J., Schlosser, F., & Hesselbach, J. (2017). Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions. Energy, 112–123. https://doi.org/10.1016/j.energy.2017.05.062
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 21615
Meschede, H., Dunkelberg, H., Stöhr, F., Peesel, R.-H., & Hesselbach, J. (2017). Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods. Energy, 86–100. https://doi.org/10.1016/j.energy.2017.03.166
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