Next Article in Journal
Resource Recovery from Waste: Restoring the Balance between Resource Scarcity and Waste Overload
Previous Article in Journal
A Decomposition Analysis of Embodied Energy Consumption in China’s Construction Industry
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(9), 1597; doi:10.3390/su9091597

Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization

1
College of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
2
Department of Technology, Illinois State University, Normal, IL 61790-5100, USA
*
Authors to whom correspondence should be addressed.
Received: 20 July 2017 / Revised: 10 August 2017 / Accepted: 4 September 2017 / Published: 8 September 2017
View Full-Text   |   Download PDF [3175 KB, uploaded 8 September 2017]   |  

Abstract

Sustainable facilities management (SFM) opens the door of opportunity for companies to evaluate the quality of resources and environment management at their facilities. It enables the principles of sustainable development. There is still inefficiency in quantitative research of integrating environmental factors, particularly multi-source data, to monitor and control complicated systems in buildings. The objective of this research is to develop an effective method to dynamically optimize energy efficiency in SFM plans and strategies. The research question is: can the integrated proactive method reduce energy consumption with dynamically adjustable controls? This paper proposes a coordinated proactive control method using dynamic time-series prediction (PCM-DTSP) for SFM, which optimizes system controls by integrating the prediction results and monitored environmental-data. The results show that, after optimization, the temperature fluctuations are reduced to 33.3%. The average temperature and maximum temperature are reduced by 8% and 13.1%, respectively. The instantaneous power consumption was reduced by 0.17 KW per hour for each cooling system unit. The PCM-DTSP method can significantly optimize energy efficiency, which paves the way for long-term comprehensive energy management. The contribution of the research lies in its optimized control of energy consumption, temperature stabilization, and improvement of environmental comfort solutions, which can be generalized to various types of buildings. View Full-Text
Keywords: proactive control; system optimization; sustainable facilities management; dynamic prediction proactive control; system optimization; sustainable facilities management; dynamic prediction
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ruan, S.; Xie, H.; Jiang, S. Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization. Sustainability 2017, 9, 1597.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top