Your search

Model Predictive Control has gained much attention due to its potential to improve building operations by reducing costs, integrating renewable energy sources, and increasing thermal comfort. This paper aims to compare the accuracy of grey-box models based on resistance–capacitance (RC) networks and Long-Short-Term Memory (LSTM) neural networks in the prediction of the buildings’ thermal response, which is a key feature for the successful implementation of predictive controllers. Indoor air...

Cooking can generate substantial heat from cooking equipment, potentially resulting in reduced thermal comfort levels if this excess heat is not adequately dissipated. Additionally, it can significantly affect indoor air quality (IAQ), not only in kitchen spaces but also in adjacent areas lacking sufficient ventilation. To ensure a healthy and comfortable indoor environment while avoiding unnecessary energy use, this research proposes an approach for detecting equipment usage. Utilizing deep...

The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing energy consumption through enhanced control, automation, and reliability. This review aims to explore the use of AI to enhance energy efficiency throughout various stages of the building lifecycle, including building design, construction, operation and control, maintenance, and retrofit. The review encompasses multiple studies in the field published between 2018 and 2023. These studies were identified...

This study examined and addressed climate change's effects on hydrological patterns, particularly in critical places like the Godavari River basin. This study used daily gridded rainfall and temperature datasets from the Indian Meteorological Department (IMD) for model training and testing, 70% and 30%, respectively. To anticipate future hydrological shifts, the study harnessed the EC-Earth3 data, presenting an innovative methodology tailored to the unique hydrological dynamics of the...

High ambient air temperatures in Africa pose significant health and behavioral challenges in populations with limited access to cooling adaptations. The built environment can exacerbate heat exposure, making passive home cooling adaptations a potential method for protecting occupants against indoor heat exposure.

This study explores the imperative need for decolonizing climate change adaptation strategies by focusing on Indigenous knowledge and perspectives. Focusing on the Munda Indigenous communities residing in the coastal areas of Bangladesh, the research offers critical insights into the intricate relationship between Indigenous wisdom and sustainable climate adaptation. By engaging with the Munda Indigenous people and their traditions, this study explores how traditional ecological knowledge...

This study explores the imperative need for decolonizing climate change adaptation strategies by focusing on Indigenous knowledge and perspectives. Focusing on the Munda Indigenous communities residing in the coastal areas of Bangladesh, the research offers critical insights into the intricate relationship between Indigenous wisdom and sustainable climate adaptation. By engaging with the Munda Indigenous people and their traditions, this study explores how traditional ecological knowledge...

As smart thermostats become increasingly available in residential buildings, there is an opportunity to use measured building data to calibrate models for community and district applications, instead of relying on high-fidelity simulations. This study used smart thermostat data from 60,000 houses in North America to create single-zone models. The model structure was defined with an automated forward selection procedure. 61% of the final models were classified as good fits and the structure...

To meet the thermal comfort requirements of room occupants, a fast and accurate method for predicting indoor high-resolution 3D airflow distribution is necessary, which can be combined with heating, ventilation, and air conditioning (HVAC) systems to adjust the indoor environment. Artificial neural networks (ANN) can establish complex mappings between variables with nonlinear relationships. The aim of this study was to verify the feasibility of an ANN for the fast and accurate prediction of...

The Tamil Nadu government actively supports farmer development through frequent training programs. These programs, incorporating both classroom sessions and field visits, are targeted towards farmer members of Farmer Producer Organizations (FPOs) and conducted at regular intervals. Recognizing the importance of understanding farmers' motivations and preferences, the training centers conducted a study involving 80 FPO farmer respondents from Coimbatore and Nilgiris districts. Using rank-based...

Abstract This paper explores teachers' conceptions of climate change knowledge, contributing to the growing body of work on the geographies of climate change. The paper focuses on the data generated through in‐depth semi‐structured interviews with a sample of 48 teachers in India to address the research question: What discourses about climate change knowledge are being constructed by teachers in India? We argue that teachers' lesson planning and searches for information are at the forefront...

Climate change anxiety refers to negative cognitive, emotional, behavioural, and functional responses to experiences of climate change and has implications on mental health. The current study sought to determine how climate change anxiety relates to cognitive-emotional and functional impairments as well as with experience of climate change and behavioural engagement in youths. The study surveyed 388 youths (aged 13-24 years) in high schools in Kwale County, Kenya. Data were analysed in...

This research explores climate change adaptation practices, strategies and policies implemented internationally that could be adopted to support the sustainable development of cities and towns across Australia. Adaptation strategies focus on reducing the impact of climate change effects while promoting sustainable development.Adaptation is framed as a shared responsibility between governments at all levels, businesses, communities and individuals. Within this overarching framework, each...

This research explores climate change adaptation practices, strategies and policies implemented internationally that could be adopted to support the sustainable development of cities and towns across Australia. Adaptation strategies focus on reducing the impact of climate change effects while promoting sustainable development.Adaptation is framed as a shared responsibility between governments at all levels, businesses, communities and individuals. Within this overarching framework, each...

Churches can serve as platforms for environmental education, fostering a sense of responsibility towards the environment among their congregations.This study examined the influence of religious affiliation and attendance on climate change awareness, perception, action and perceived role of the church through environmental education in Nigeria. Churchgoers from Catholic, Anglican, and Pentecostal churches from the six geopolitical zones of Nigeria completed the Climate Change Awareness...

Thermal comfort prediction is vital in achieving a good indoor environment and efficient energy management. However, thermal comfort is strongly nonlinear and dynamically changing over time, making it difficult to predict thermal comfort accurately. Two real-time thermal comfort prediction models on multi-time scales are proposed based on deep learning algorithms. The indirect prediction model for thermal comfort integrates the bidirectional long and short-term memory network to predict...