Cost penalties of near-optimal scheduling control of BCHP systems: part II-modeling, optimization, and analysis results.(building combined heat and ... An article from: ASHRAE Transactions
Book Details
Author(s)T. Agami Reddy, Itzhak Maor
ISBN / ASINB002EPNCF4
ISBN-13978B002EPNCF0
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from ASHRAE Transactions, published by American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc. on January 1, 2009. The length of the article is 14297 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: The research project the results of which are reported here involved two phases. The first, which is described in the companion paper (Maor and Reddy 2009), involved the generation of necessary data for certain characteristic building types with rationally designed and sized building combined heat and power (BCHP) equipment. Seven buildings were selected: three large buildings under real-time electrical pricing (RTP) (hospital, school, and hotel) and four buildings (two large and two small) under time-of-use (TOU) rates. Subsequently, a certain number of days in the year over which to perform the optimization study were identified for each building. This paper relates to near-optimal control, which is often viewed as synonymous with simplified and heuristic strategies-those that are close to the optimum strategy but are much simpler to implement in actual practice. Optimal control is defined as involving an operational strategy where the equipment scheduling can be changed in a quasistatic manner at the beginning of each hourly time step and controlled optimally. Near-optimal, on the other hand, is one where the equipment scheduling itself is not changed during the diurnal operating horizon, while the equipment already on-line is controlled optimally. There are as many near-optimal solutions as there are feasible combinations during the selected day. This type of near-optimal operation and control will result in a higher operational cost. A quantity called cost penalty ratio (CPR) was defined as the ratio of the near-optimal to the optimal solution, and it is the variation and magnitude of this quantity with building type, location, day of the year, and price signal which is studied, quantified, and discussed herein.
Citation Details
Title: Cost penalties of near-optimal scheduling control of BCHP systems: part II-modeling, optimization, and analysis results.(building combined heat and power systems )(Report)
Author: T. Agami Reddy
Publication:ASHRAE Transactions (Magazine/Journal)
Date: January 1, 2009
Publisher: American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc.
Volume: 115 Issue: 1 Page: 287(21)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: The research project the results of which are reported here involved two phases. The first, which is described in the companion paper (Maor and Reddy 2009), involved the generation of necessary data for certain characteristic building types with rationally designed and sized building combined heat and power (BCHP) equipment. Seven buildings were selected: three large buildings under real-time electrical pricing (RTP) (hospital, school, and hotel) and four buildings (two large and two small) under time-of-use (TOU) rates. Subsequently, a certain number of days in the year over which to perform the optimization study were identified for each building. This paper relates to near-optimal control, which is often viewed as synonymous with simplified and heuristic strategies-those that are close to the optimum strategy but are much simpler to implement in actual practice. Optimal control is defined as involving an operational strategy where the equipment scheduling can be changed in a quasistatic manner at the beginning of each hourly time step and controlled optimally. Near-optimal, on the other hand, is one where the equipment scheduling itself is not changed during the diurnal operating horizon, while the equipment already on-line is controlled optimally. There are as many near-optimal solutions as there are feasible combinations during the selected day. This type of near-optimal operation and control will result in a higher operational cost. A quantity called cost penalty ratio (CPR) was defined as the ratio of the near-optimal to the optimal solution, and it is the variation and magnitude of this quantity with building type, location, day of the year, and price signal which is studied, quantified, and discussed herein.
Citation Details
Title: Cost penalties of near-optimal scheduling control of BCHP systems: part II-modeling, optimization, and analysis results.(building combined heat and power systems )(Report)
Author: T. Agami Reddy
Publication:ASHRAE Transactions (Magazine/Journal)
Date: January 1, 2009
Publisher: American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc.
Volume: 115 Issue: 1 Page: 287(21)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
