A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Interconnected Microgrids: An Energyplus Simulation Test Case
The smart grid technology is emerging progressively, due to environmental and energy standards and to the forecasted exhaustion of non-renewable energy sources: currently, many smart microgrids small-scale renewable-energy generation systems are connected to the traditional grid, allowing the two grids to coexist. To perform efficiently load control and demand response management, appropriate algorithm for controlling smart microgrids must be developed. In addition to load control for reduction of energy consumption, climate control to optimize the thermal comfort of the occupants must be performed. This paper presents a microgrid simulation test case to evaluate the performance of different strategies for load management and thermal comfort optimization. The main contribution of the paper are: (1) contrary to many state-of the-art approaches that rely on simplified model, in this papers a realistic microgrid, modelled using an elaborate energy building simulation program (EnergyPlus) is employed for the synthesis and evaluation of the control strategies; (2) a realistic thermal comfort model, the Fanger index, is adopted and the thermal satisfaction of the end user is part of the performance index to be optimized; (3) the optimization of the energy load and of the solar energy distribution is performed jointly; far from optimal solutions can be achieved if one of the two tasks is neglected. Simulations using historical summer data demonstrate that via optimization and control we can effectively integrate the microgrid test case with the photovoltaic system that provides renewable solar energy, i.e. we can optimally balance the energy demand with the solar energy, while taking into account the thermal comfort of the occupants.
Interconnected Microgrids: An Energyplus Simulation Test Case
The smart grid technology is emerging progressively, due to environmental and energy standards and to the forecasted exhaustion of non-renewable energy sources: currently, many smart microgrids small-scale renewable-energy generation systems are connected to the traditional grid, allowing the two grids to coexist. To perform efficiently load control and demand response management, appropriate algorithm for controlling smart microgrids must be developed. In addition to load control for reduction of energy consumption, climate control to optimize the thermal comfort of the occupants must be performed. This paper presents a microgrid simulation test case to evaluate the performance of different strategies for load management and thermal comfort optimization. The main contribution of the paper are: (1) contrary to many state-of the-art approaches that rely on simplified model, in this papers a realistic microgrid, modelled using an elaborate energy building simulation program (EnergyPlus) is employed for the synthesis and evaluation of the control strategies; (2) a realistic thermal comfort model, the Fanger index, is adopted and the thermal satisfaction of the end user is part of the performance index to be optimized; (3) the optimization of the energy load and of the solar energy distribution is performed jointly; far from optimal solutions can be achieved if one of the two tasks is neglected. Simulations using historical summer data demonstrate that via optimization and control we can effectively integrate the microgrid test case with the photovoltaic system that provides renewable solar energy, i.e. we can optimally balance the energy demand with the solar energy, while taking into account the thermal comfort of the occupants.
Interconnected Microgrids: An Energyplus Simulation Test Case
Karagevrekis, Athanasios (author) / Baldi, Simone (author) / Michailidis, Iakovos T. (author) / Kosmatopoulos, Elias B. (author)
2014-07-15
Machines Review; Vol 1 No 1 (2014); 7-13 ; 2408-9141
Article (Journal)
Electronic Resource
English
DDC:
690
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