TY - JOUR
T1 - A framework for reducing dust emissions and energy consumption on construction sites.
AU - Hong, Juwon
AU - Hong, Taehoon
AU - Kang, Hyuna
AU - Lee, Minhyun
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean (MSIP; Ministry of Science, ICT & Future Planning) (NRF-2018R1A2A1A19020868).
Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.
PY - 2019
Y1 - 2019
N2 - In fast-growing industrial societies, large amounts of emitted dust and energy (e.g., fossil fuels) consumed by human activities can cause climate change, problems to human health, and resource depletion. In particular, due to a considerable amount of dust emissions and energy consumption, energy-intensive construction sites are causing global environmental problems capable of destroying the environment and possibly damaging the health of both construction workers and the surrounding population. Therefore, this study aimed to develop a framework for reducing dust emissions and energy consumption on construction sites. The proposed framework was developed in six steps: (i) Step 1: Selection of the key factors affecting dust emissions and energy consumption on construction sites; (ii) Step 2: Development of real-time monitoring devices for dust emissions and energy consumption using sensor networks; (iii) Step 3: Development of real-time evaluation methods for dust emissions and energy consumption using big data; (iv) Step 4: Establishment of real-time improvement solutions for dust emissions and energy consumption using machine learning; (v) Step 5: Systemization of real-time monitoring devices, evaluation methods and improvement solutions for dust emissions and energy consumption; and (vi) Step 6: Development of an intelligent system for automatically managing dust emissions and energy consumption on construction sites. As a result, an intelligent system can be developed capable of automatically managing dust emissions and energy consumption from construction sites by using the proposed framework. The proposed framework can be used at a construction site to conduct real-time monitoring, evaluation, and the minimization of dust emissions and energy consumption depending on the characteristics of the construction site. In addition, it can also be used to reduce other various environmental issues (i.e., noise and vibration) and economic issues (i.e., cost of litigation, additional construction), which are often produced in the construction phase.
AB - In fast-growing industrial societies, large amounts of emitted dust and energy (e.g., fossil fuels) consumed by human activities can cause climate change, problems to human health, and resource depletion. In particular, due to a considerable amount of dust emissions and energy consumption, energy-intensive construction sites are causing global environmental problems capable of destroying the environment and possibly damaging the health of both construction workers and the surrounding population. Therefore, this study aimed to develop a framework for reducing dust emissions and energy consumption on construction sites. The proposed framework was developed in six steps: (i) Step 1: Selection of the key factors affecting dust emissions and energy consumption on construction sites; (ii) Step 2: Development of real-time monitoring devices for dust emissions and energy consumption using sensor networks; (iii) Step 3: Development of real-time evaluation methods for dust emissions and energy consumption using big data; (iv) Step 4: Establishment of real-time improvement solutions for dust emissions and energy consumption using machine learning; (v) Step 5: Systemization of real-time monitoring devices, evaluation methods and improvement solutions for dust emissions and energy consumption; and (vi) Step 6: Development of an intelligent system for automatically managing dust emissions and energy consumption on construction sites. As a result, an intelligent system can be developed capable of automatically managing dust emissions and energy consumption from construction sites by using the proposed framework. The proposed framework can be used at a construction site to conduct real-time monitoring, evaluation, and the minimization of dust emissions and energy consumption depending on the characteristics of the construction site. In addition, it can also be used to reduce other various environmental issues (i.e., noise and vibration) and economic issues (i.e., cost of litigation, additional construction), which are often produced in the construction phase.
KW - Construction site
KW - Dust emissions
KW - Emission mitigation technologies
KW - Energy consumpion
KW - Real-time environment management system
KW - Sensor network
UR - http://www.scopus.com/inward/record.url?scp=85063885647&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2019.01.637
DO - 10.1016/j.egypro.2019.01.637
M3 - Conference article
AN - SCOPUS:85063885647
SN - 1876-6102
VL - 158
SP - 5092
EP - 5096
JO - Energy Procedia
JF - Energy Procedia
T2 - 10th International Conference on Applied Energy, ICAE 2018
Y2 - 22 August 2018 through 25 August 2018
ER -