Improving the use of commercial building HVAC systems for electric grid ancillary services

Thesis: Ph. D. in Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2016.

[1]  Shengwei Wang,et al.  Dynamic simulation of building VAV air-conditioning system and evaluation of EMCS on-line control strategies , 1999 .

[2]  D. Lew,et al.  The Western Wind and Solar Integration Study Phase 2 , 2013 .

[3]  David H. Blum,et al.  Dynamic simulation and analysis of ancillary service demand response strategies for variable air volume HVAC systems , 2014 .

[4]  Gregor P. Henze,et al.  Evaluating synergistic effect of optimally controlling commercial building thermal mass portfolios , 2015 .

[5]  Johanna L. Mathieu,et al.  Modeling and Control of Aggregated Heterogeneous Thermostatically Controlled Loads for Ancillary Services , 2011 .

[6]  Gregor P. Henze,et al.  An investigation of optimal control of passive building thermal storage with real time pricing , 2011 .

[7]  Peter Cappers,et al.  Load Participation in Ancillary Services Workshop Report , 2011 .

[8]  Ahmed F. Ghoniem,et al.  Needs, resources and climate change: Clean and efficient conversion technologies , 2011 .

[9]  S. Kiliccote.  Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services , 2009 .

[10]  Peter Cappers,et al.  An assessment of the role mass market demand response could play in contributing to the management of variable generation integration issues , 2012 .

[11]  Peter R. Armstrong,et al.  Advanced cooling technology with thermally activated building surfaces and model predictive control , 2015 .

[12]  Jan Kosny,et al.  Cost Analysis of Simple Phase Change Material-Enhanced Building Envelopes in Southern U . S . Climates , 2012 .

[13]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[14]  Duncan S. Callaway,et al.  Demand Response Providing Ancillary Services A Comparison of Opportunities and Challenges in the US Wholesale Markets , 2012 .

[15]  Olof M. Jarvegren,et al.  Pacific Northwest GridWise™ Testbed Demonstration Projects; Part I. Olympic Peninsula Project , 2008 .

[16]  Kara Clark,et al.  Western Wind and Solar Integration Study , 2011 .

[17]  David H. Blum,et al.  Opportunity Cost Quantification for Ancillary Services Provided by Heating, Ventilating, and Air-Conditioning Systems , 2017, IEEE Transactions on Smart Grid.

[18]  David H. Blum,et al.  DYNAMIC SIMULATION OF REGULATION DEMAND RESPONSE BY VAV HVAC SYSTEMS , 2014 .

[19]  Draguna Vrabie,et al.  Simulation and experimental demonstration of model predictive control in a building HVAC system , 2015 .

[20]  Peter W. Sauer,et al.  Integrating Renewable Electricity on the Grid , 2011 .

[21]  Young-Jin Kim,et al.  Modeling and Analysis of a Variable Speed Heat Pump for Frequency Regulation Through Direct Load Control , 2015, IEEE Transactions on Power Systems.

[22]  Srinivas Katipamula,et al.  Development of a Low-Lift Chiller Controller and Simplified Precooling Control Algorithm - Final Report , 2011 .

[23]  Duncan S. Callaway.  Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy , 2009 .

[24]  Gregor P. Henze,et al.  Evaluation of optimal control for active and passive building thermal storage , 2004 .

[25]  José Domingo Álvarez,et al.  Optimizing building comfort temperature regulation via model predictive control , 2013 .

[26]  Stephen P. Boyd,et al.  Dynamic Network Energy Management via Proximal Message Passing , 2013, Found. Trends Optim..

[27]  Evangelos Vrettos,et al.  Robust Provision of Frequency Reserves by Office Building Aggregations , 2014 .

[28]  Leslie K. Norford,et al.  Naturally ventilated and mixed-mode buildings—Part II: Optimal control , 2009 .

[29]  Peng Zhao,et al.  Evaluation of commercial building HVAC systems as frequency regulation providers , 2013 .

[30]  Dirk Müller,et al.  Iea Ebc Annex 60 Modelica Library – An International Collaboration to Develop A Free Open-Source Model Library for Buildings And Community Energy Systems , 2015, Building Simulation Conference Proceedings.

[31]  Vincent J. Cushing,et al.  Optimizing commercial building participation in energy and ancillary service markets , 2014 .

[32]  Mohammad Shahidehpour,et al.  ISO's optimal strategies for scheduling the hourly demand response in day-ahead markets , 2015, 2015 IEEE Power & Energy Society General Meeting.

[33]  Lieve Helsen,et al.  Practical implementation and evaluation of model predictive control for an office building in Brussels , 2016 .

[34]  John E. Seem.  Modeling of Heat Transfer in Buildings , 1987 .

[35]  Peter Cappers,et al.  Demand Response for Ancillary Services , 2013, IEEE Transactions on Smart Grid.

[36]  Ventyx.  Eastern Wind Integration and Transmission Study: Executive Summary and Project Overview (Revised) , 2011 .

[37]  Goran Strbac,et al.  Assessing the competitiveness of demand-side bidding , 1999 .

[38]  Peter R. Armstrong,et al.  Predictive pre-cooling of thermo-active building systems with low-lift chillers , 2011 .

[39]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[40]  Christoph F. Reinhart,et al.  Urban building energy modeling – A review of a nascent field , 2015 .

[41]  Steven B. Leeb,et al.  Control with building mass-Part I: Thermal response model , 2006 .

[42]  B. Hobbs,et al.  Optimal Generation Mix With Short-Term Demand Response and Wind Penetration , 2012, IEEE Transactions on Power Systems.

[43]  Dirk Saelens,et al.  Quantification Method For The Active Demand Response Potential By Structural Storage In Buildings , 2015 .

[44]  J. Braun,et al.  Model-based demand-limiting control of building thermal mass , 2008 .

[45]  Sean P. Meyn,et al.  Ancillary service for the grid via control of commercial building HVAC systems , 2013, 2013 American Control Conference.

[46]  Peter R. Armstrong,et al.  Modeling Environment for Model Predictive Control of Buildings , 2014 .

[47]  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 .

[48]  Johanna L. Mathieu,et al.  State Estimation and Control of Heterogeneous Thermostatically Controlled Loads for Load Following , 2012, 2012 45th Hawaii International Conference on System Sciences.

[49]  Glenn Reynders,et al.  Quantifying the Impact of Building Design on the Potential of Structural Storage for Active Demand Response in Residential Buildings , 2015 .

[50]  Alberto L. Sangiovanni-Vincentelli,et al.  Flexibility of Commercial Building HVAC Fan as Ancillary Service for Smart Grid , 2013, ArXiv.