[HTML][HTML] Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems

I Petkov, P Gabrielli - Applied Energy, 2020 - Elsevier
This study analyzes the factors leading to the deployment of Power-to-Hydrogen (PtH 2)
within the optimal design of district-scale Multi-Energy Systems (MES). To this end, we utilize …

Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach

G Mavromatidis, K Orehounig, J Carmeliet - Applied energy, 2018 - Elsevier
Uncertainty introduces significant complexity to the design process of distributed energy
systems (DES) and introduces the risk of suboptimal decisions when the design is …

[HTML][HTML] A machine learning-based surrogate model to approximate optimal building retrofit solutions

E Thrampoulidis, G Mavromatidis, A Lucchi… - Applied Energy, 2021 - Elsevier
The building sector has the highest share of operational energy consumption and
greenhouse gas emissions among all sectors. Environmental targets set by many countries …

[HTML][HTML] MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems

G Mavromatidis, I Petkov - Applied Energy, 2021 - Elsevier
This study presents MANGO (Multi-stAge eNerGy Optimization), a novel optimization model
that incorporates a multi-year planning horizon, along with flexible, multi-stage investment …

Limits and potentials of Mixed Integer Linear Programming methods for optimization of polygeneration energy systems

L Urbanucci - Energy Procedia, 2018 - Elsevier
The simultaneous production of different energy vectors from hybrid polygeneration plants is
a promising way to increase energy efficiency and facilitate the development of distributed …

Ten questions concerning modeling of distributed multi-energy systems

G Mavromatidis, K Orehounig, LA Bollinger… - Building and …, 2019 - Elsevier
Abstract Distributed Multi-Energy Systems (D-MES) can sustainably transform the energy
supply of buildings, districts, and communities by integrating multiple energy efficient …

Optimal transformation strategies for buildings, neighbourhoods and districts to reach CO2 emission reduction targets

P Murray, J Marquant, M Niffeler, G Mavromatidis… - Energy and …, 2020 - Elsevier
Technical energy regulations are an important measure to reach climate targets. However,
with recent developments in new technologies (such as decentralized energy systems …

[HTML][HTML] Probabilistic photovoltaic generation and load demand uncertainties modelling for active distribution networks hosting capacity calculations

MS Ayaz, M Malekpour… - International Journal of …, 2024 - Elsevier
With the increasing integration of photovoltaic (PV) systems in active distribution networks
(ADNs), accurate modelling of PV power generation and the network demand has become …

Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems

L Urbanucci, JC Bruno, D Testi - Applied energy, 2019 - Elsevier
Polygeneration energy systems are proven to be a reliable, competitive and efficient solution
for energy production. The recovery of otherwise wasted energy is the primary reason for the …

[HTML][HTML] Spatiotemporal upscaling errors of building stock clustering for energy demand simulation

S Eggimann, N Vulic, M Rüdisüli, R Mutschler… - Energy and …, 2022 - Elsevier
Energy demand of buildings forms a key component of energy system analyses. To integrate
building energy demand into energy system models, detailed simulation of every single …