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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  2018, Vol. 12 Issue (2): 314-332   https://doi.org/10.1007/s11708-017-0530-2
  本期目录
Energy modeling and data structure framework for Sustainable Human-Building Ecosystems (SHBE) — a review
Suraj TALELE1, Caleb TRAYLOR1, Laura ARPAN2, Cali CURLEY3, Chien-Fei CHEN4, Julia DAY5, Richard FEIOCK6, Mirsad HADZIKADIC7, William J. TOLONE7, Stan INGMAN8, Dale YEATTS9, Omer T. KARAGUZEL10, Khee Poh LAM11, Carol MENASSA12, Svetlana PEVNITSKAYA13, Thomas SPIEGELHALTER14, Wei YAN15, Yimin ZHU16, Yong X. TAO17()
1. Department of Mechanical and Energy Engineering, University of North Texas, Denton, Texas 76203, USA
2. College of Communication & Information, Florida State University, Tallahassee, FL 32306, USA
3. School of Public and Environmental Affairs, Indiana University–Purdue University Indianapolis, Indianapolis, IN 46202, USA
4. Department of Sociology, University of Tennessee Knoxville, Knoxville, TN 37996, USA
5. Human Ecology, Kansas State University Department of Construction Management, Washington State University, Pullman, WA 99164, USA
6. Reubin O’D. Askew School of Public Administration and Policy, Florida State University, Tallahassee, FL 32306, USA
7. College of Computing and Informatics, University of North Carolina, Charlotte, Charlotte, NC 28223, USA
8. Department of Gerontology, University of North Texas, Denton, TX 76203, USA
9. Department of Gerontology and Department of Sociology, University of North Texas, Denton, TX 76203, USA
10. CMU School of Architecture, Carnegie Mellon University, Pittsburgh, PA 15213
11. School of Design & Environment, National University of Singapore, Singapore 117566, Singapore
12. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
13. Department of Economics, Florida State University, Tallahassee, FL 32306, USA
14. Department of Architecture, Florida International University, Miami, FL 33199, USA
15. College of Architecture, Texas A & M University, College Station, TX 77843, USA
16. Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rogue, LA 70803, USA
17. College of Engineering and Computing, Nova Southeastern University, Davie, FL 33314, USA
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Abstract

This paper contributes an inclusive review of scientific studies in the field of sustainable human building ecosystems (SHBEs). Reducing energy consumption by making buildings more energy efficient has been touted as an easily attainable approach to promoting carbon-neutral energy societies. Yet, despite significant progress in research and technology development, for new buildings, as energy codes are getting more stringent, more and more technologies, e.g., LED lighting, VRF systems, smart plugs, occupancy-based controls, are used. Nevertheless, the adoption of energy efficient measures in buildings is still limited in the larger context of the developing countries and middle income/low-income population. The objective of Sustainable Human Building Ecosystem Research Coordination Network (SHBE-RCN) is to expand synergistic investigative podium in order to subdue barriers in engineering, architectural design, social and economic perspectives that hinder wider application, adoption and subsequent performance of sustainable building solutions by recognizing the essential role of human behaviors within building-scale ecosystems. Expected long-term outcomes of SHBE-RCN are collaborative ideas for transformative technologies, designs and methods of adoption for future design, construction and operation of sustainable buildings.

Key wordssustainability    building energy modeling (BEM)    occupant behaviors (OB)    sustainable ecosystems    System for the Observation of Populous Heterogeneous Information (SOPHI)
收稿日期: 2017-05-12      出版日期: 2018-06-04
Corresponding Author(s): Yong X. TAO   
 引用本文:   
. [J]. Frontiers in Energy, 2018, 12(2): 314-332.
Suraj TALELE, Caleb TRAYLOR, Laura ARPAN, Cali CURLEY, Chien-Fei CHEN, Julia DAY, Richard FEIOCK, Mirsad HADZIKADIC, William J. TOLONE, Stan INGMAN, Dale YEATTS, Omer T. KARAGUZEL, Khee Poh LAM, Carol MENASSA, Svetlana PEVNITSKAYA, Thomas SPIEGELHALTER, Wei YAN, Yimin ZHU, Yong X. TAO. Energy modeling and data structure framework for Sustainable Human-Building Ecosystems (SHBE) — a review. Front. Energy, 2018, 12(2): 314-332.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-017-0530-2
https://academic.hep.com.cn/fie/CN/Y2018/V12/I2/314
Fig.1  
Energy consumption
Indoor air temperature [26,35,53] Window opening/blinds [26,35,39,44]
Outdoor air temperature [26,35] Thermal comfort [26,35,46]
Arrival time in office and morning (hour of the day) [26,35,53] Window blinds [39]
Presence of occupants [26,35] Occupancy [4345,48]
Leaving time from office and evening (hour of the day) [26,35,53] Lighting [39,44]
Office appliances [47]
Tab.1  
Factors for adaptive behaviors
Shared vs. open plan offices [50] Venetian blades vs roller blades [50]
Number of occupants in space [50] Ease of using controls [39,50]
Visual comfort [50] Acoustics [50]
Social constraints [50] View to outdoors [50]
Availability of energy feedback systems [31,33,37,49,50] Interior design (presence and location of furniture) [50]
Availability of manually operated systems [50]
Tab.2  
Drivers for OB
Outdoor climate [36,43,42] Indoor air humidity [36]
Dwelling type [36,53,54,49] Dwelling age [36]
Dwelling size [36,43] Room type [36]
House insulation [36] Type of heating/cooling system [36,42,43,54]
Type of temperature control [36,54] Type of heating fuel [36]
Occupant age [36] Occupant gender [36]
Occupant culture/race [36] Occupant education level [36]
Tab.3  
Data collection method Authors
Survey [18,53]
Social media [34]
Experiments [3,5,15,17,31,37,40,42,46,47,49,53]
Simulations (data ming, machine learning, parametric modeling, building energy simulation, etc.) [5,6,8,9,22,25,26,29,30,32,34,35,3843,45,47,48,53,54]
Sensors [27,31,33,37]
Wifi/network analysis [15,28]
Tab.4  
Fig.2  
Fig.3  
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