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Aelenei, Daniel, Susana Nogueira, João Viegas, Manuela Cano, and Fábio Cerqueira. "Caracterização experimental das taxas de renovação horária em residências para pessoas idosas." PATORREB 2015. Ed. Vasco Peixoto de Freitas. 978-972-752-177-7. Porto, Portugal: FEUP Edições, 2015. Abstract


Lopes, R. A., P. Magalhães, J. P. Gouveia, D. Aelenei, C. Lima, and J. Martins. "A case study on the impact of nearly Zero-Energy Buildings on distribution transformer aging." Energy. 157 (2018): 669-678. AbstractWebsite
Carreiro-Martins, Pedro, João Viegas, Ana Luisa Papoila, Daniel Aelenei, Iolanda Caires, José Araújo-Martins, João Gaspar-Marques, Maria Manuela Cano, Ana Sofia Mendes, Daniel Virella, and others. "CO2 concentration in day care centres is related to wheezing in attending children." European journal of pediatrics. 173 (2014): 1041-1049.
Lopes, Rui Amaral, João Martins, Daniel Aelenei, and Celson Pantoja Lima. "A cooperative net zero energy community to improve load matching." Renewable Energy. 93.August (2016): 1-13. AbstractWebsite

The work reported here addresses load matching improvement in Net Zero Energy Buildings (Net-ZEBs). The related relevant literature shows that currently research work is mainly focused on improving the load matching of individual buildings. In this paper the concept of a Cooperative Net Zero Energy Community (CNet-ZEC) is introduced, extending discussion to the enhancement of load matching at a wider community level. Both building and community levels are compared in order to assess the work proposed here, through the analysis of three distinct scenarios where five Net-ZEBs work individually or in community.

The results presented here were obtained through a detailed simulation based on 1-min resolution stochastic load profiles and recorded weather data. The results indicate that over the period of a year the CNet-ZEC has the potential to increase the electrical demand covered by onsite electricity generation up to 21% and the on-site generation that is used by the building up to 15%. The following elements are considered by the CNet-ZEC in order to produce those results: (i) demand heterogeneity of the buildings integrating the community; (ii) the higher number of controllable devices; and (iii) the potential higher amount of energy available to satisfy the community demand.