Georgios Mavromatidis - Journal papers

Journal Publications

[24] Agarwal M., Cameron-Rastogi P., Peronato G., Mavromatidis G. (2024) Missed Opportunities in Building Energy Performance Assessment. Journal of Sustainable Real Estate, 16, 1. DOI: 10.1080/19498276.2024.2387486

[23] Lerbinger A., Powell S., Mavromatidis G. (2024) MANGOever: An optimization framework for the long-term planning and operations of integrated electric vehicle and building energy systems. Advances in Applied Energy, 16, 100193. DOI: 10.1016/j.adapen.2024.100193

[22] Thimet P.J., Mavromatidis G. (2023) What - where - when: Investigating the role of storage for the German electricity system transition. Applied Energy, 351, 121764. DOI: 10.1016/j.apenergy.2023.121764

[21] Petkov I., Lerbinger A., Mavromatidis G., Knoeri C., Hoffmann V. (2023) Decarbonizing real estate portfolios considering optimal retrofit investment and policy conditions to 2050. iScience, 5, 106619. DOI: 10.1016/j.isci.2023.106619

[20] Lerbinger A., Petkov I., Mavromatidis G., Knoeri C. (2023) Optimal decarbonization strategies for existing districts considering energy systems and retrofits. Applied Energy, 352, 121863. DOI: 10.1016/j.apenergy.2023.121863

[19] Petkov I., Mavromatidis G., Allan J., Knoeri C., Hoffmann V. (2022) MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits. Applied Energy, 314, 118901. DOI: 10.1016/j.apenergy.2022.118901

[18] Thimet P.J., Mavromatidis G. (2022) Review of model-based electricity system transition scenarios: An analysis for Switzerland, Germany, France and Italy. Renewable and Sustainable Energy Reviews, 159, 112102. DOI: 10.1016/j.rser.2022.112102

[17] Mavromatidis G., Petkov I. (2021) MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems. Applied Energy, 288, 116585. DOI: 10.1016/j.apenergy.2021.116585

[16] Thrampoulidis E., Mavromatidis G., Lucchi A., Orehounig K. (2021) A machine learning-based surrogate model to approximate optimal building retrofit solutions. Applied Energy, 281, 116024. DOI: 10.1016/j.apenergy.2020.116024

[15] Murray P., Marquant J. F., Niffeler M., Mavromatidis G., Orehounig K. (2020) Optimal transformation strategies for buildings, neighbourhoods and districts to reach CO₂ emission reduction targets. Energy and Buildings, 207, 109569. DOI: 10.1016/j.enbuild.2019.109569

[14] Mavromatidis G., Orehounig K., L. Bollinger A., Hohmann M., Marquant J. F., Miglani S., Morvaj B., Murray B., Waibel C., Wang W., Carmeliet J. (2019) Ten questions concerning modeling of distributed multi-energy systems. Building and Environment, 165, 106372. DOI: 10.1016/j.buildenv.2019.106372

[13] Waibel C., Mavromatidis G., Evins R., Carmeliet J. (2019) A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis. Journal of Building Performance Simulation, 12, 789-811. DOI: 10.1080/19401493.2019.1671897

[12] Gabrielli P., Fürer F., Mavromatidis G., Mazzotti M. (2019) Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis. Applied Energy, 238, 1192-1210. DOI: 10.1016/j.apenergy.2019.01.064

[11] Mavromatidis G., Orehounig K., Carmeliet J. (2018) Comparison of alternative decision-making criteria in the design of distributed energy systems under uncertainty. Energy, 156, 709-724. DOI: 10.1016/j.energy.2018.05.081

[10] Mavromatidis G., Orehounig K., Carmeliet J. (2018) Optimal design of distributed energy systems under uncertainty: A two-stage stochastic programming approach. Applied Energy, 222, 932-950. DOI: 10.1016/j.apenergy.2018.04.019

[9] Wang D., Landolt J., Mavromatidis G., Orehounig K., Carmeliet J. (2018) CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies. Energy and Buildings, 169, 9-26. DOI: 10.1016/j.enbuild.2018.03.020

[8] Mavromatidis G., Orehounig K., Carmeliet J. (2018) A review of uncertainty characterisation approaches for the optimal design of distributed energy systems. Renewable and Sustainable Energy Reviews, 88, 258-277. DOI: 10.1016/j.rser.2018.02.021

[7] Mavromatidis G., Orehounig K., Carmeliet J. (2018) Uncertainty and global sensitivity analysis for the design of distributed energy systems. Applied Energy, 214, 219-238. DOI: 10.1016/j.apenergy.2018.01.062

[6] Wu R., Mavromatidis G., Orehounig K., Carmeliet J. (2017) Multiobjective Optimisation of Energy Systems and Building Envelope Retrofit in a Residential Community. Applied Energy, 190, 634-649. DOI: 10.1016/j.apenergy.2016.12.161

[5] Mavromatidis G., Orehounig K., Richner, P., Carmeliet J. (2016) A strategy for reducing CO₂ emissions from buildings with the Kaya identity - A Swiss energy system analysis and a case study. Energy Policy, 88, 343-354. DOI: 10.1016/j.enpol.2015.10.037

[4] Allegrini, J., Orehounig K., Mavromatidis G., Ruesch F., Dorer V., Evins R. (2015) A review of modelling approaches and tools for the simulation of district-scale energy systems. Renewable and Sustainable Energy Reviews, 52, 1391-1404. DOI: 10.1016/j.rser.2015.07.123

[3] Mavromatidis G., Orehounig K., Carmeliet J. (2015) Evaluation of photovoltaic integration potential in a village. Solar Energy, 121, 152-168. DOI: 10.1016/j.solener.2015.03.044

[2] Orehounig K., Mavromatidis G., Evins, R., Dorer V., Carmeliet J. (2014) Towards an energy sustainable community: an energy system analysis for a village in Switzerland. Energy and Buildings, 84, 277-286. DOI: 10.1016/j.enbuild.2014.08.012

[1] Mavromatidis G., Acha, S., Shah, N. (2013) Diagnostic tools of energy performance for supermarkets using Artificial Neural Networks. Energy and Buildings, 62, 304-314. DOI: 10.1016/j.enbuild.2013.03.020