Publications by Araz Ashouri | EPFL Graph Search

Related publications (8)

Targeting Optimal Design and Operation of Solar Heated Industrial Processes: A MILP Formulation

François Maréchal, Anna Sophia Wallerand, Araz Ashouri

The intermittence of solar irradiation displays a great challenge for industrial applications, which often require a constant heat supply. Transient or dynamic simulation software, such as TRNSYS and EnergyPlus, enable modeling of such systems and the resp ...

Elsevier2016

Model-based optimization of distributed and renewable energy systems in buildings

François Maréchal, Paul Michael Stadler, Araz Ashouri

In order to fully exploit the potential of renewable energy resources (RERs) for building applications, opti- mal design and control of the different energy systems is a compelling challenge to address. This paper presents a two-step multi-objective optimi ...

2016

Distributed model predictive control of energy systems in microgrids

François Maréchal, Paul Michael Stadler, Araz Ashouri

This paper presents a flexible and modular control scheme based on distributed model predictive control (DMPC) to achieve optimal operation of decentralized energy systems in smart grids. The proposed approach is used to coordinate multiple distributed ene ...

IEEE2016

Contribution of Model Predictive Control in the Integration of Renewable Energy Sources within the Built Environment

François Maréchal, Luc Girardin, Paul Michael Stadler, Araz Ashouri

Integrating intermittent renewable energy sources has renders the power network operator task of balancing electricity generation and consumption increasingly challenging. Aside from heavily investing in additional storage capacities, an interesting soluti ...

2018

Multi-objective, multi-period optimization of district energy systems: IV – A case study

François Maréchal, Samira Fazlollahi, Araz Ashouri

A multi-objective, multi-period model for optimizing the design and operating strategy of district energy systems is proposed by authors [1]. In the developed model the process and energy integration tech- niques are principally investigated. In the presen ...

2015

Estimating the potential for thermal load management in buildings at a large scale: overcoming challenges towards a replicable methodology

François Maréchal, Araz Ashouri

A large share of the energy is consumed in buildings but at the individual scale, the energy consumption is rarely optimized; as a consequence, energy is wasted, electricity consumption is characterized by peaks and renewable energy integration is hindered ...

Elsevier Science Bv2017

Towards energy-autonomous cities using CO2 networks and Power to Gas storage

François Maréchal, Paul Michael Stadler, Raluca-Ancuta Suciu, Araz Ashouri

Under Energy Strategy 2050, the federal government of Switzerland plans to greatly reduce per capita energy consumption, decrease the share of fossil fuels, and replace the nuclear electricity generation by gains in efficiency and use of renewable energy s ...

2016

Particle Swarm Optimization and Kalman Filtering for Demand Prediction of Commercial Buildings

François Maréchal, Samira Fazlollahi, Araz Ashouri

The integration of weather forecasts and demand prediction into the energy management system of buildings is usually achieved using a model-based predictive control. The performance of such control techniques strongly depends on the accuracy of the thermal ...

2015