A Framework for Analysing Energy Consumption Factors in Commercially Built Environments

2022 ◽  
Author(s):  
Junaid Tippu ◽  
Subramaniam Saravanasankar ◽  
Bathrinath Sankaranarayanan ◽  
Syed Shuibul Qarnain
Keyword(s):  
Energy Consumption ◽  
Built Environments

scholarly journals Widening the Scope and Scale of Sustainability Assessments in Built Environments: From Passive House to Active Neighbourhood

2018 ◽  
Vol 7 (1) ◽  
pp. 129-135 ◽  
Author(s):  
Spela Verovsek ◽  
Matevz Juvancic ◽  
Tadeja Zupancic
Keyword(s):  
Energy Consumption ◽  
Evaluation Model ◽  
Research Process ◽  
Assessment Methods ◽  
Modular System ◽  
Built Environments ◽  
Main Research ◽  
Traditional Assessment ◽  
Reduction Of Energy Consumption ◽  
Sustainability Assessments

Abstract The paper provide an insight into the research conducted by the University of Ljubljana, and the Urban institute of Slovenia committed to the assessment of the efficiency related to the management of local resources at the level of neighbourhoods. The reduction of energy consumption and energy efficient built environments are key objectives of many sustainability agendas which is followed by suitable assessment methods in urban analytics. However, there are two important hesitations occurring: first, traditional assessment methods that focus solely on the energy reduction and efficiency are often too narrow in their analysis and limited in their scope of impact. According to the recent advances in research worldwide, efforts solely related to reduction of energy consumption will unlikely lead to more responsive environments or rise the living quality. Thus, more comprehensive methodologies for assessing and monitoring the change and transformation in built environments shall be sought for to reach long-term sustainability. Second, to date, the majority of the evaluation methods - whether focusing to energy consumption or broader sustainability issues - are building- or household- oriented, thus systematically examining separate spatial and social entities, but neglecting the spaces between, the holistic aspect and the community aspect. The research develops structured evaluation model, where two main research pillars are addressed: 1) the development of the structured and modular system of indicators; and 2) the development of the methodology to interpret the resulting values. The paper presents first two stages of the research process and subjects the outcomes to the debate.

BUILT ENVIRONMENTS AND 'DIRECT' ENERGY CONSUMPTION - A CONCEPTUAL METHODOLOGY FRAMEWORK TO FACILITATE DELIVERY OF THE CLIMATE CHANGE ACT 2008

2016 ◽  
Vol 15 (5) ◽  
pp. 1155-1171
Author(s):  
Talib E. Butt ◽  
Keith G. Jones ◽  
Dragan A. Savic ◽  
Christopher A. Gorse ◽  
Jonathan P. Hudson ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Built Environments ◽  
Direct Energy

scholarly journals A Data-driven System for City-wide Energy Footprinting and Apportionment

2021 ◽  
Vol 17 (2) ◽  
pp. 1-24
Author(s):  
Peter Wei ◽  
Xiaofan Jiang
Keyword(s):  
Energy Consumption ◽  
Population Data ◽  
Data Driven ◽  
Built Environments ◽  
Energy Footprint ◽  
Driven System ◽  
Occupancy Monitoring ◽  
Wide Energy ◽  
Building Level ◽  
Personal Energy

Energy footprinting has the potential to raise awareness of energy consumption and lead to energy-saving behavior. However, current methods are largely restricted to single buildings; these methods require energy and occupancy monitoring sensor deployments, which can be expensive and difficult to deploy at scale. Further, current methods for estimating energy consumption and population at scale cannot provide fine enough temporal or spatial granularity for a reasonable personal energy footprint estimate. In this work, we present a data-driven system for city-wide estimation of personal energy footprints. This system takes advantage of existing sensing infrastructure and data sources in urban cities to provide energy and population estimates at the building level, even in built environments that do not have existing or accessible energy or population data.

Lay Perceptions of Energy Consumption

2009 ◽  
Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin
Keyword(s):  
Energy Consumption ◽  
Lay Perceptions

Study on Energy Consumption by Land Cargo Transportation

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu
Keyword(s):  
Energy Consumption ◽  
Cargo Transportation

Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Control Parameter ◽  
Interference Mitigation ◽  
Wireless Sensor ◽  
Point To Point ◽  
A Minor ◽  
Two Stages ◽  
Time Division ◽  
And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

Influence of trees on the energy consumption of a social housing in mid-western Brazil

2019 ◽  
pp. 53-65
Author(s):  
Renata Domingos ◽  
Emeli Guarda ◽  
Elaise Gabriel ◽  
João Sanches
Keyword(s):  
Energy Consumption ◽  
Solar Radiation ◽  
Thermal Comfort ◽  
Air Conditioning ◽  
Computational Simulation ◽  
Building Energy ◽  
General Idea ◽  
Heat Island ◽  
Study Region ◽  
Ample Evidence

In the last decades, many studies have shown ample evidence that the existence of trees and vegetation around buildings can contribute to reduce the demand for energy by cooling and heating. The use of green areas in the urban environment as an effective strategy in reducing the cooling load of buildings has attracted much attention, though there is a lack of quantitative actions to apply the general idea to a specific building or location. Due to the large-scale construction of high buildings, large amounts of solar radiation are reflected and stored in the canyons of the streets. This causes higher air temperature and surface temperature in city areas compared to the rural environment and, consequently, deteriorates the urban heat island effect. The constant high temperatures lead to more air conditioning demand time, which results in a significant increase in building energy consumption. In general, the shade of the trees reduces the building energy demand for air conditioning, reducing solar radiation on the walls and roofs. The increase of urban green spaces has been extensively accepted as effective in mitigating the effects of heat island and reducing energy use in buildings. However, by influencing temperatures, especially extreme, it is likely that trees also affect human health, an important economic variable of interest. Since human behavior has a major influence on maintaining environmental quality, today's urban problems such as air and water pollution, floods, excessive noise, cause serious damage to the physical and mental health of the population. By minimizing these problems, vegetation (especially trees) is generally known to provide a range of ecosystem services such as rainwater reduction, air pollution mitigation, noise reduction, etc. This study focuses on the functions of temperature regulation, improvement of external thermal comfort and cooling energy reduction, so it aims to evaluate the influence of trees on the energy consumption of a house in the mid-western Brazil, located at latitude 15 ° S, in the center of South America. The methodology adopted was computer simulation, analyzing two scenarios that deal with issues such as the influence of vegetation and tree shade on the energy consumption of a building. In this way, the methodological procedures were divided into three stages: climatic contextualization of the study region; definition of a basic dwelling, of the thermophysical properties; computational simulation for quantification of energy consumption for the four facade orientations. The results show that the façades orientated to north, east and south, without the insertion of arboreal shading, obtained higher values of annual energy consumption. With the adoption of shading, the facades obtained a consumption reduction of around 7,4%. It is concluded that shading vegetation can bring significant climatic contribution to the interior of built environments and, consequently, reduction in energy consumption, promoting improvements in the thermal comfort conditions of users.

Sign in / Sign up

Export Citation Format

Share Document