Buildings consume vast amounts of energy and pollute the environment in various ways. Façade is a part of building's architecture that can play a significant role in reducing energy consumption, as well as alleviating its negative environmental effects. Although using smart materials in buildings' facades can help dramatically to attain the mentioned goals, very limited studies have been conducted regarding the mentioned issues. Moreover, existing studies have investigated only a few number of smart materials simultaneously.
Circular economy strategies seek to reduce the total resources extracted from the environment and reduce the wastes that human activities generate in pursuit of human wellbeing. Circular Economy concepts are well suited to the building and construction sector in cities. For example, refurbishing and adaptively reusing underutilized or abandoned buildings can revitalize neighborhoods whilst achieving environmental benefits. Cultural heritage buildings hold a unique niche in the urban landscape.
The UN 17 Sustainable Development Goals (SDGs) and the 169 targets have been considered in multidisciplinary approaches worldwide. Whereas, several environmental, economic and social development concerns have been covered by the UN 2030 Agenda. The aim of this research is to investigate the complexity of the interactions between building materials and the SDGs, in an attempt to establish a knowledge-based decision support system for policy-makers, designers and construction stakeholders regarding the implementation of 2030 agenda.
Thirty years of public health research have demonstrated that improved indoor environmental quality is associated with better health outcomes. Recent research has demonstrated an impact of the indoor environment on cognitive function. We recruited 109 participants from 10 high-performing buildings (i.e. buildings surpassing the ASHRAE Standard 62.1–2010 ventilation requirement and with low total volatile organic compound concentrations) in five U.S. cities. In each city, buildings were matched by week of assessment, tenant, type of worker and work functions.
The rapidly growing and gigantic body of stored data in the building field, coupled with the need for data analysis, has generated an urgent need for powerful tools that can extract hidden but useful knowledge of building performance improvement from large data sets. As an emerging subfield of computer science, data mining technologies suit this need well and have been proposed for relevant knowledge discovery in the past several years. Aimed to highlight recent advances, this paper provides an overview of the studies undertaking the two main data mining tasks (i.e.
Elsevier, Energy and Buildings, Volume 116, 15 March 2016
The smart grid's components
The smart grids are modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high-power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability. The role of buildings in this framework is very crucial. This paper addresses critical issues on smart grid technologies and the integration of buildings in this new power grid framework.
Elsevier, Building and Environment, Volume 97, February 15, 2016
Heat map of simulated annual heating demand for South Boston using UMI (a) and daily gas and electricity demand profiles for the highlighted building in South Boston (b).
Over the past decades, detailed individual building energy models (BEM) on the one side and regional and country-level building stock models on the other side have become established modes of analysis for building designers and energy policy makers, respectively. More recently, these two toolsets have begun to merge into hybrid methods that are meant to analyze the energy performance of neighborhoods, i.e. several dozens to thousands of buildings. This paper reviews emerging simulation methods and implementation workflows for such bottom-up urban building energy models (UBEM).
Elsevier, Energy and Buildings, Volume 103, 15 September 2015
It is well known that there is a need to develop technologies to achieve thermal comfort in buildings lowering the cooling and heating demand. Research has shown that thermal energy storage (TES) is a way to do so, but also other purposes can be pursued when using TES in buildings, such as peak shaving or increase of energy efficiency in HVAC systems. This paper reviews TES in buildings using sensible, latent heat and thermochemical energy storage.