Modelling and Simulation of a Building Energy Hub
Angel A. Bayod-Rújula,Yue Yuan,Amaya Martínez-Gracia,Jiangyu Wang,Javier Uche,Huanxin Chen +5 more
- Vol. 2, Iss: 23, pp 1431
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TLDR
In this paper, the hourly schedule along a year of a building energy hub, with local generation of heat and power, energy storage and electrical and thermal loads, is presented along with a yearly simulation in which prices of electricity and gas have been considered.Abstract:
The development of technologies such as efficient multi-generation system, lead to realizing the benefits of integrated energy infrastructure such as electricity, natural gas, and heating networks, and thus a rapid movement toward multi-energy systems (MES). In such systems, different energy carriers and systems interact together in a synergistic way. An Energy hub (EH) can be defined as the place where the production, conversion, storage and consumption of different energy carriers takes place, is a promising option for integrated management of MES. In this work we present the hourly Schedule along a year of a building energy hub, with local generation of heat and power, energy storage and electrical and thermal loads. We include PVT systems and a CHP system in the local generation of heat and power, and a gas boiler. A battery is considered as electrical storage and a water tank as thermal storage. The system is connected to the mail grids of power and gas. The typical thermal and electrical load of a building has been considered, with a heat pump that is considered as a deferral load. The model for all the components has been developed, and a yearly simulation has been carried out in which prices of electricity and gas have been considered.read more
Citations
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Optimum design of a multi-form energy hub by applying particle swarm optimization
TL;DR: The particle swarm optimization algorithm is used to determine a solution for the optimization problem, which resulted in the identification of the optimum quantities of the input powers along with the optimal number of devices.
Journal ArticleDOI
An advanced multicarrier residential energy hub system based on mixed integer linear programming
Yue Yuan,Angel A. Bayod-Rújula,Huanxin Chen,Amaya Martínez-Gracia,Jiangyu Wang,Anna Pinnarelli +5 more
TL;DR: The result showed that this advanced system not only can decrease the economic cost and CO2 emissions but also reduce the impact to electrical grid.
Journal ArticleDOI
Optimal design and operation of a building energy hub: A comparison of exergy-based and energy-based optimization in Swiss and Italian case studies
Giulio Tonellato,Amirreza Heidari,Joshua Pereira,Laura Carnieletto,Flourentzos Flourentzou,Michele De Carli,Dolaana Khovalyg +6 more
TL;DR: In this paper, an apartment building in Vevey, Switzerland, was selected to provide domestic hot water demand and structural data to the space heating demand dynamic simulation, for which different TRY weather data have been used for the two countries.
Journal ArticleDOI
Towards cross-commodity energy-sharing communities – A review of the market, regulatory, and technical situation
Satu Paiho,Jussi Kiljander,Roope Sarala,Hanne Siikavirta,Olli Kilkki,Arpit Bajpai,Markus Duchon,Marc-Oliver Pahl,Marc-Oliver Pahl,Lars Wustrich,Christian Lubben,Erkin Kirdan,Erkin Kirdan,Josef Schindler,Josef Schindler,Jussi Numminen,Thomas Weisshaupt +16 more
TL;DR: In this article, a comprehensive review on market, regulatory and technological status to support the transition towards distributed cross-commodity energy management with focus on Germany and Finland is presented, where the authors identify required technical components (IoT, AI and blockchain) focusing on their support decentralized and cross-sector energy systems.
Posted Content
Distributed Model Predictive Control of Buildings and Energy Hubs.
Karl-Heinrich Grote,Nicolas Lefebure,Mohammad Khosravi,Mathias Hudoba de Badyn,Felix Bünning,John Lygeros,Colin N. Jones,Roy S. Smith +7 more
TL;DR: In this paper, the authors investigated how different MPC strategies perform on energy management systems in buildings and energy hubs, and proposed a distributed control based on dual decomposition, which has the advantages of both approaches.
References
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Journal ArticleDOI
Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures
TL;DR: Numerical simulations demonstrate the effectiveness of the proposed multiple energy system expansion planning approach based on energy hub.
Journal ArticleDOI
Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty
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Proceedings ArticleDOI
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