Percorrer por autor "Matos, Luisa"
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- D7.2 Proceedings of the First DREAM-GO Workshop: Simulation of consumers and markets towards real time demand responsePublication . Vale, Zita; Borges, Nuno; Faria, Pedro; Soares, João; Villarrubia, Gabriel; Corchado, Juan M.; Boldt, Diogo; Venayagamoorthy, G. Kumar; Matos, Luisa; Landeck, Jorge; Ferreira, Rodrigo; Spinola, João; Barriuso, Alberto L.; Paz, Juan F. deProceedings of the First DREAM-GO Workshop Institute of Engineering - Polytechnic of Porto, Porto, Portugal, April 6-7, 2016. Simulation of consumers and markets towards real time demand response
- D7.3 Proceedings of the Second DREAM-GO Workshop: Real-Time Demand Response and Intelligent Direct Load ControlPublication . Vale, Zita; Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Spínola, João; Canizes, Bruno; Pinto, Tiago; Soares, João; Chamoso, Pablo; Santos, Daniel; Garcia, Oscar; Catalina, Jorge; Guevarra, Fabio; Navarro-Cáceres, María; Gazafroudi, Amin Shokri; Prieto-Castrillo, Francisco; Corchado, Juan Manuel; Santos, Gabriel; Teixeira, Brígida; Praça, Isabel; Sousa, Filipe; Zawislak, Krzysztof; Iglesia, Daniel Hernández de la; Barriuso, Alberto Lopez; Lozano, Alvaro; Herrero, Jorge Revuelta; Landeck, Jorge; Paz, Juan F. de; Corchado, Juan M.; Garcia, Ruben Martin; González, Gabriel Villarrubia; Bajo, Javier; Matos, Luisa; Klein, L. Pires; Carreira, R.; Torres, I.; Landeck, JorgeProceedings of the Second DREAM-GO Workshop Real-Time Demand Response and Intelligent Direct Load Control
- Energy Resource Management Model in a Hotel Building Using a Web PlatformPublication . Sousa, Tiago; Faria, Pedro; Vale, Zita; Landeck, Jorge; Matos, Luisa; Ferreira, RodrigoDistributed generation and demand response have been fostered in the last years, sometimes less than desired. In fact, these energy resources, which have a distributed nature have been mostly applied and discussed in the wide view of the operation and planning of the distribution system. However, a great potential is now being explored in the scope of buildings energy management. In the present paper, an energy resource management model has been implemented in order to be integrated with a web platform that supports the customer information concerning energy usage. The model can be used for several kinds of buildings. A hotel building is focused in this paper, namely in the case study that discusses the use of each resource, including photovoltaic generation and demand response.
- The Arrowhead Framework applied to Energy ManagementPublication . Rocha, Rafael; Albano, Michele; Lino Ferreira, Luis; Relvas, Flávio; Matos, LuisaEnergy management in buildings can provide massive benefits in financial and energy saving terms. It is possible to optimize energy usage with smart grid techniques, where the benefits are enhanced when the energy consumer can trade the energy on energy markets, since it forces energy providers to compete with each other on the energy price. However, two hurdles oppose this approach: the devices providing control over appliances do not interoperate with each other; and energy markets limit trading activities to large quantities of energy, thus impeding access for small consumers. This work considers using the FlexOffer (FO) concept to allow the consumer to express its energy needs, and FO-related mechanisms to aggregate energy requests into quantities relevant for energy markets. Moreover, the presented system, named FlexHousing, is based on the Arrowhead Framework – a framework that simplifies design and implementation of distributed applications by means of normalizing communication via services – and exploits its Service Oriented mechanisms to provide device interoperability. The implemented FlexHousing system uses multi-level FO aggregation to empower either the final user, for example the owner of an apartment, to manage its own energy by defining their flexibilities, or to offload this responsibility to an energy manager who takes care of all the apartments in a building or set of buildings.