Effectiveness and life-cycle cost-benefit analysis of active cold storages for building demand management for smart grid applications

A fast power demand response (DR) strategy involving both active and passive cold storages is presented. This control strategy provides an immediate and stepped power demand reduction through shutting chiller(s) down when requested. The results show that the power demand reduction and building indoor temperature during the DR event can be predicted accurately. The power demand reduction is stable which is more predictable for the grid management. The building indoor temperature rise is restrained and indoor thermal comfort is improved through use of a small scale active storage system during the DR event. The incentive bought by an existing DR program is used to calculate the economic benefit of the demand reduction controlled by the developed fast DR strategy. In addition, an electricity price structure in South China is introduced to calculate the cost saving potentials of the active storages, when a storage-priority control is used to shift peak demand in normal days. The results show that small scale active storages can also offer significant life-cycle cost saving for building demand management.

[1]  Rongxin Yin Study on Auto-DR and Pre-Cooling of Commercial Buildings with Thermal Mass in California , 2010 .

[2]  Shengwei Wang,et al.  Dynamic simulation of a building central chilling system and evaluation of EMCS on-line control strategies , 1998 .

[3]  Brendan Kirby Demand Response For Power System Reliability: FAQ , 2006 .

[4]  Fu Xiao,et al.  Progress and methodologies of lifecycle commissioning of HVAC systems to enhance building sustainability , 2009 .

[5]  Peng Xu,et al.  Introduction to Commercial Building Control Strategies and Techniques for Demand Response , 2007 .

[6]  Peng Xu,et al.  Case Study of Demand Shifting with Thermal Mass in Two Large Commercial Buildings , 2006 .

[7]  Sila Kiliccote,et al.  Strategies for Demand Response in Commercial Buildings , 2006 .

[8]  Johanna L. Mathieu,et al.  A framework for and assessment of demand response and energy storage in power systems , 2013, 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid.

[9]  Sila Kiliccote,et al.  Utilizing Automated Demand Response in commercial buildings as non-spinning reserve product for ancillary services markets , 2011, IEEE Conference on Decision and Control and European Control Conference.

[10]  Yongjun Sun,et al.  Life-cycle cost benefit analysis and optimal design of small scale active storage system for building demand limiting , 2014 .

[11]  Johanna L. Mathieu,et al.  Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility , 2010 .

[12]  Sean P. Meyn,et al.  How demand response from commercial buildings will provide the regulation needs of the grid , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[13]  Sila Kiliccote,et al.  Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products , 2013 .

[14]  K. A. Antonopoulos,et al.  Effect of indoor mass on the time constant and thermal delay of buildings , 2000 .

[15]  Philip Haves,et al.  Demand Shifting With Thermal Mass in Large Commercial Buildings: Field Tests, Simulation and Audits , 2005 .

[16]  Farrokh Rahimi,et al.  Demand Response as a Market Resource Under the Smart Grid Paradigm , 2010, IEEE Transactions on Smart Grid.

[17]  Johanna L. Mathieu,et al.  Quantifying Changes in Building Electricity Use, With Application to Demand Response , 2011, IEEE Transactions on Smart Grid.

[18]  Yonghong Chen,et al.  Comparison of security constrained economic dispatch formulations to incorporate reliability standar , 2011 .

[19]  Shengwei Wang,et al.  A fast chiller power demand response control strategy for buildings connected to smart grid , 2015 .

[20]  Fu Xiao,et al.  An interactive building power demand management strategy for facilitating smart grid optimization , 2014 .

[21]  Zhenjun Ma,et al.  An optimal control strategy for complex building central chilled water systems for practical and real-time applications , 2009 .