All Outputs (6)

Improving building thermal performance through an integration of Passivhaus envelope and shading in a tropical climate (2021)
Journal Article
Zune, M., Tubelo, R., Rodrigues, L., & Gillott, M. (2021). Improving building thermal performance through an integration of Passivhaus envelope and shading in a tropical climate. Energy and Buildings, 253, Article 111521. https://doi.org/10.1016/j.enbuild.2021.111521

Due to the success of the energy-efficient Passivhaus building envelope and its principles in regulating indoor thermal comfort in European climates, the potential implementation of it in other climates has been subjected to much attention in recent... Read More about Improving building thermal performance through an integration of Passivhaus envelope and shading in a tropical climate.

The correlation of energy performance and building age in UK schools (2021)
Journal Article
Mohamed, S., Smith, R., Rodrigues, L., Omer, S., & Calautit, J. (2021). The correlation of energy performance and building age in UK schools. Journal of Building Engineering, 43, Article 103141. https://doi.org/10.1016/j.jobe.2021.103141

In response to the climate emergency crisis, the UK became the first major economy to commit to net-zero greenhouse gas emissions by 2050. By adopting energy efficiency measures, UK schools alone could prevent the release of 625,000 tonnes of CO2, th... Read More about The correlation of energy performance and building age in UK schools.

Overheating and indoor air quality in primary schools in the UK (2021)
Journal Article
Mohamed, S., Rodrigues, L., Omer, S., & Calautit, J. (2021). Overheating and indoor air quality in primary schools in the UK. Energy and Buildings, 250, Article 111291. https://doi.org/10.1016/j.enbuild.2021.111291

It is estimated that school buildings in the UK are responsible for up to 15% of the total energy consumption of public and commercial buildings. Indoor thermal comfort and air quality in school classrooms are of global concern due to their significa... Read More about Overheating and indoor air quality in primary schools in the UK.

Characterising Brazilian Housing through an Investigation of Policies, Architecture and Statistics (2021)
Journal Article
Tubelo, R., Rodrigues, L., & Gillott, M. (2021). Characterising Brazilian Housing through an Investigation of Policies, Architecture and Statistics. Journal of Architecture, 26(2), 191-211. https://doi.org/10.1080/13602365.2021.1895279

Defining common housing characteristics such as typology, floor areas and occupancy rates can be challenging in many countries because of the prevalence of self-built and/or self-promoted accommodation. Yet, for researchers, designers and policy make... Read More about Characterising Brazilian Housing through an Investigation of Policies, Architecture and Statistics.

Comfort within budget: Assessing the cost-effectiveness of envelope improvements in single-family affordable housing (2021)
Journal Article
Tubelo, R., Rodrigues, L., Gillott, M., & Zune, M. (2021). Comfort within budget: Assessing the cost-effectiveness of envelope improvements in single-family affordable housing. Sustainability, 13(6), Article 3054. https://doi.org/10.3390/su13063054

In Brazil, the delivery of homes for low-income households is dictated by costs rather than performance. Issues such as the impact of climate change, affordability of operational energy use, and lack of energy security are not taken into account, eve... Read More about Comfort within budget: Assessing the cost-effectiveness of envelope improvements in single-family affordable housing.

We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network (2021)
Journal Article
Shipman, R., Roberts, R., Waldron, J., Naylor, S., Pinchin, J., Rodrigues, L., & Gillott, M. (2021). We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network. Energy, 221, Article 119813. https://doi.org/10.1016/j.energy.2021.119813

© 2021 Elsevier Ltd Vehicle-to-grid (V2G) services utilise a population of electric vehicle batteries to provide the aggregated capacity required to participate in power and energy markets. Such participation relies on the prediction of available cap... Read More about We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.