Abstract
In recent years, building energy consumption has increased in response to climate change, resulting in a worldwide reduction of energy efficiency. A strong response is required, through both the enhancement of building energy efficiency and the reduction of power usage. These objectives could be achieved by pursuing “Blackout” prevention, through developing a control unit such as that of the urban energy grid system that was used in the Energy Operation Center (EOC) for smart cities. In this context, this paper presents an optimization operation technique for Building Energy Management Systems (BEMS), using control monitor-based Building Information Modeling (BIM) for the efficient operation of the EOC. BIM is one of the approaches that can be used for the visual representation, management, and exchange of information on all aspects of a building. The EOC should be able to efficiently represent the data from the building information, and the operator maintaining it should be able to promptly acquire the data for handling it. This suggests that the control of energy consumption by a Building Automation System (BAS) to maximize building energy efficiency will lead to improved total energy performance, reduced operating costs, and reduced environmental impact.
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Lange, B., Rodriguez, N., and Puech, W., “Energy Consumption Improvement through a Visualization Software,” in: Energy Efficiency -A Bridge to Low Carbon Economy, Morvaj, Z., (Ed.), InTech, Chap. 8, 2012.
Doukas, H., Patlitzianas, K. D., Iatropoulos, K., and Psarras, J., “Intelligent Building Energy Management System using Rule Sets,” Building and Environment, Vol. 42, No. 10, pp. 3562–3569, 2007.
Zhao, P., Suryanarayanan, S., and Simoes, M. G., “An Energy Management System for Building Structures using a Multi-Agent Decision-Making Control Methodology,” IEEE Transactions on Industry Applications, Vol. 49, No. 1, pp. 322–330, 2013.
Carnieletto, R., Brandao, D. I., Farret, F. A., SimoÞes, M. G., and Suryanarayanan, S., “Smart Grid Initiative,” IEEE Industry Applications Magazine, Vol. 17, No. 5, pp. 27–35, 2011.
Levermore, G. J., “Building Energy Management Systems: an Application to Heating and Control,” Routledge, 2nd Ed., pp. 1–31, 1992.
Darby, S., “The Effectiveness of Feedback on Energy Consumption,” University of Oxford, 2006. http://wwwusclcorpcom/news/DEFRAreport-with-appendixpdf (Accessed 28 MAR 2016)
Alahmad, M., Nader, W., Neal, J., Shi, J., Berryman, C., et al., “Real Time Power Monitoring & Integration with BIM,” Proc. of IECON 36th Annual Conference on IEEE Industrial Electronics Society, pp. 2454–2458, 2010.
Zhang, J., Seet, B.-C., and Lie, T. T., “Building Information Modelling for Smart Built Environments,” Buildings, Vol. 5, No. 1, pp. 100–115, 2015.
Guinard, A., McGibney, A., and Pesch, D., “A Wireless Sensor Network Design Tool to Support Building Energy Management,” Proc. of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, pp. 25–30, 2009.
Jeng, T., “Toward a Ubiquitous Smart Space Design Framework,” Journal of Information Science and Engineering, Vol. 25, No. 3, pp. 675–686, 2009.
Bhatt, M., Dylla, F., and Hois, J., “Spatio-Terminological Inference for the Design of Ambient Environments,” Spatial Information Theory, Vol. 5756, pp. 371–391, 2009.
Irizarry, J., Karan, E. P., and Jalaei, F., “Integrating BIM and GIS to Improve the Visual Monitoring of Construction Supply Chain Management,” Automation in Construction, Vol. 31, pp. 241–254, 2013.
Che, L., Gao, Z., Chen, D., and Nguyen, T.-H., “Using Building Information Modeling for Measuring the Efficiency of Building Energy Performance,” Proc. of the International Conference on Computing in Civil and Building Engineering, pp. 165–170, 2010.
Eastman, C., Teicholz, P., Sacks, R., and Liston, K., “BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors,” Wiley, 2nd Ed., pp. 100–105, 2011.
Jung, D.-k., Lee, D., and Park, S., “Energy Operation Management for Smart City using 3D Building Energy Information Modeling,” Int. J. Precis. Eng. Manuf., Vol. 15, No. 8, pp. 1717–1724, 2014.
Chiang, C.-T., Chu, C.-P., and Chou, C.-C., “BIM-Enabled Power Consumption Data Management Platform for Rendering and Analysis of Energy Usage Patterns,” Procedia Engineering, Vol. 118, pp. 554–562, 2015.
Fassi, f., Achille, C., Mandelli, A., Rechichi, F., and Parri, S., “A New Idea of BIM System for Visualization, Web Sharing and using Huge Complex 3D Models For Facility Management,” Proc. of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-5/W4, pp. 359–366, 2015.
Hajibabai, L., Aziz, Z., and Peña-Mora, F., “Visualizing Greenhouse Gas Emissions from Construction Activities,” Construction Innovation, Vol. 11, No. 3, pp. 356–370, 2011.
See, R., Haves, P., Sreekanthan, P., O’Donnell, J., Basarkar, M., and Settlemyre, K., “Development of a User Interface for the Energyplus whole Building Energy Simulation Program,” Proc. of the 12th International IBPSA Conference, pp. 2919–2926, 2011.
Moon, H. J., Choi, M. S., Kim, S. K., and Ryu, S. H., “Case Studies for the Evaluation of Interoperability between a BIM based Architectural Model and Building Performance Analysis Programs,” Proc. of 12th Conference of International Building Performance Simulation Association, pp. 1521–1526, 2011.
Kastner, W., Neugschwandtner, G., Soucek, S., and Newman, H. M., “Communication Systems for Building Automation and Control,” Proceedings of the IEEE, Vol. 93, No. 6, pp. 1178–1203, 2005.
American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc., “BACnet®-A Data Communication Protocol for Building Automation and Control Networks,” ANSI/ASHRAE Standard 135–2008, 2010.
Kwon, K., Lee, D., Cha, K., and Park, S., “A Proposal of Total Energy Operating System Development using Spatial Information Visualization and Energy Monitoring,” Journal of KIBIM, Vol. 4, No. 1, pp 8–12, 2014.
Shneiderman, B., “The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations,” Proc. of IEEE Symposium on Visual Languages, pp. 336–343, 1996.
Choe, Y., Kim, S.-A., Jang, M.-H., Park, D.-Y., and Kim, Y.-R., “A Framework for Urban Monitoring System in the Context of Information Visualization,” Proc. of the Architectural Institute of Korea, Vol. 31, No. 1, pp. 333–334, 2010.
Geryville, H., Ouzrout, Y., Bouras, A., and Sapidis, N., “Proposition of a Product Information Exchange Framework: Multiple Viewpoints Approach,” Proc. of the International Conference on Product Lifecycle Management, PLM-SP3, pp. 373–382, 2007.
Diamond, R. C., “Energy Use among the Low-Income Elderly: A Closer Look,” Lawrence Berkeley Lab., pp. 1–15, 1984.
Meier, A., “Operating Buildings during Temporary Electricity Shortages,” Energy and Buildings, Vol. 38, No. 11, pp. 1296–1301, 2006.
Peschiera, G., Taylor, J. E., and Siegel, J. A., “Response–Relapse Patterns of Building Occupant Electricity Consumption Following Exposure to Personal, Contextualized and Occupant Peer Network Utilization Data,” Energy and Buildings, Vol. 42, No. 8, pp. 1329–1336, 2010.
Petersen, J. E., Shunturov, V., Janda, K., Platt, G., and Weinberger, K., “Dormitory Residents Reduce Electricity Consumption when Exposed to Real-Time Visual Feedback and Incentives,” International Journal of Sustainability in Higher Education, Vol. 8, No. 1, pp. 16–33, 2007.
Cha, G., “A Study of the Visualization about the Energy and Spatial Information using BIM: A Focus on Chamsaem Elementary School in Sejong City,” M.Sc. Thesis, Department of Convergence Engineering for Future City, Sungkyunkwan University, 2015.
Yoon, S.-H., Park, N.-H., and Choi, J.-w., “A BIM-based Design Method for Energy-Efficient Building,” Proc. of 5th International Joint Conference on NC, IMS and IDC, pp. 376–381, 2009.
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Lee, D., Cha, G. & Park, S. A study on data visualization of embedded sensors for building energy monitoring using BIM. Int. J. Precis. Eng. Manuf. 17, 807–814 (2016). https://doi.org/10.1007/s12541-016-0099-4
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DOI: https://doi.org/10.1007/s12541-016-0099-4