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Title: Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings

This article provides a method in comprehensive evaluation of cost-saving potential of active cool thermal energy storage (CTES) integrated with HVAC system for demand management in non-residential building. The active storage is beneficial by shifting peak demand for peak load management (PLM) as well as providing longer duration and larger capacity of demand response (DR). In this research, a model-based optimal design method using genetic algorithm is developed to optimize the capacity of active CTES aiming for maximizing the life-cycle cost saving concerning capital cost associated with storage capacity as well as incentives from both fast DR and PLM. In the method, the active CTES operates under a fast DR control strategy during DR events while under the storage-priority operation mode to shift peak demand during normal days. The optimal storage capacities, maximum annual net cost saving and corresponding power reduction set-points during DR event are obtained by using the proposed optimal design method. Lastly, this research provides guidance in comprehensive evaluation of cost-saving potential of CTES integrated with HVAC system for building demand management including both fast DR and PLM.
Authors:
 [1] ;  [2] ;  [2] ;  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Hong Kong Polytechnic Univ. (Hong Kong). Dept. of Building Services Engineering
  2. Hong Kong Polytechnic Univ. (Hong Kong). Dept. of Building Services Engineering
Publication Date:
Grant/Contract Number:
AC05-00OR22725; 152181/14E
Type:
Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 201; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Building Technologies Research and Integration Center (BTRIC)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Active cool thermal energy storage; Building demand management; Demand response; Peak load management; Genetic algorithm
OSTI Identifier:
1366386