Seresht, N G (2022) Energy-smart buildings: A conceptual framework to improve building's energy performance. In: Tutesigensi, A and Neilson, C J (eds.) Proceedings of 38th Annual ARCOM Conference, 5-7 September 2022, Glasgow Caledonian University, Glasgow, UK.
Abstract
Buildings contribute to nearly 40% of the carbon dioxide emissions in the United Kingdom, and a significant proportion of this energy is consumed to control the indoor environment (i.e., heating, cooling, and lighting). Several efforts have been undertaken to reduce the energy consumption of buildings. However, existing approaches often fail to capture a comprehensive image of the buildings and their occupants and, consequently, fail to forecast their energy consumption accurately. This paper aims to address this gap by proposing a novel framework for forecasting occupants' energy behaviour based on real-time video data processing and agent-based modelling (ABM) and, consequently, predicting buildings' energy consumption. The proposed framework is expected to improve the accuracy of energy simulation techniques by capturing the most realistic features of the building and its occupants through a mix of data- and law-driven techniques. The architecture of the proposed framework is presented in this paper as a proof of concept, and the feasibility of this framework is discussed.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | smart buildings; simulation; sustainability; carbon footprint; energy demand |
| Index terms: | accuracy, conceptual framework, carbon footprint, data processing, smart building, energy performance, forecasting, United Kingdom, agent-based modelling, energy simulation, energy demand, carbon dioxide emission, indoor environment, energy consumption |
| Subjects: | energy systems, construction type, prediction and forecasting, theoretical framing, environmental science, Geography, environmental impact, modelling and simulation, professional development, data science, climate science |
| Topics: | Digital Applications, Information Management, Construction Technology, Research Practice, Geographical Context, Sustainability |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here