Thermal storage systems were originally designed to shift on-peak cooling production to off-peak cooling production to reduce on-peak electricity demand. Recently, however, the reduction of both on- and off-peak demands is becoming an exceedingly important issue. Reduction of on- and off-peak demands can also extend the life span and defer or eliminate the replacement of power transformers due to potential shortage of building power capacity caused by anticipated equipment load increases. Next day daily average electricity demand is a critical set point to operate chillers and associated pumps at the appropriate time. For this paper, a mathematical analysis of the annual daily average cooling of a building was conducted, and three real-time building load forecasting models were developed: a first-order autoregressive model, a random walk model, and a linear regression model. A comparison of results shows that the random walk model provides the best forecast. A complete control algorithm integrated with forecast model for a chiller plant including chillers, thermal storage system and pumping systems was developed to verify the feasibility of applying this algorithm in the building automation system. Application results are introduced in this paper as well.
Skip Nav Destination
Close
Sign In or Register for Account
ASME 2010 4th International Conference on Energy Sustainability
May 17–22, 2010
Phoenix, Arizona, USA
Conference Sponsors:
- Advanced Energy Systems Division and Solar Energy Division
ISBN:
978-0-7918-4394-9
PROCEEDINGS PAPER
Minimizing On-Peak and Off-Peak Demands for a Thermal Storage System: Forecast Model Analysis to Predict Next Day Daily Average Load and Model Application
Subroto Gunawan
Subroto Gunawan
Ameresco Inc., Dallas, TX
Search for other works by this author on:
Li Song
University of Oklahoma, Norman, OK
Ik-Seong Joo
BENEFF, LLC, Norman, OK
Subroto Gunawan
Ameresco Inc., Dallas, TX
Paper No:
ES2010-90472, pp. 411-419; 9 pages
Published Online:
December 22, 2010
Citation
Song, L, Joo, I, & Gunawan, S. "Minimizing On-Peak and Off-Peak Demands for a Thermal Storage System: Forecast Model Analysis to Predict Next Day Daily Average Load and Model Application." Proceedings of the ASME 2010 4th International Conference on Energy Sustainability. ASME 2010 4th International Conference on Energy Sustainability, Volume 1. Phoenix, Arizona, USA. May 17–22, 2010. pp. 411-419. ASME. https://doi.org/10.1115/ES2010-90472
Download citation file:
- Ris (Zotero)
- Reference Manager
- EasyBib
- Bookends
- Mendeley
- Papers
- EndNote
- RefWorks
- BibTex
- ProCite
- Medlars
Close
Sign In
3
Views
0
Citations
Related Proceedings Papers
Related Articles
Next-Day Daily Energy Consumption Forecast Model Development and Model Implementation
J. Sol. Energy Eng (August,2012)
Neural Network-Based Adaptive Monitoring System for Power Transformer
J. Dyn. Sys., Meas., Control (September,2001)
Dynamic Modeling of a Novel Cooling, Heat, Power, and Water Microturbine Combined Cycle
J. Energy Resour. Technol (June,2010)
Related Chapters
Gas Management System
Pipeline System Automation and Control
Power System Load Forecasting Based on Fuzzy AHP and Entropy Method
International Conference on Electronics, Information and Communication Engineering (EICE 2012)
The Application of the PSO Based Bp Network in Short-Term Load Forecasting
International Conference on Electronics, Information and Communication Engineering (EICE 2012)