Discrete demand side control performance under dynamic building simulation: A heat pump application

Renewable Energy

Volumn 39, Issue 1, 2012, Pages 85-95

  Hong, Jun ^a   Johnstone, Cameron ^a   Torriti, Jacopo ^b   Leach, Matthew ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Building performance simulation; Discrete demand side control; Heat pump; Renewable and low carbon energy system; Thermal comfort

Indexed keywords

BUILDING PERFORMANCE; BUILDING SIMULATION; CARBON EMISSIONS; CONTROL PERFORMANCE; DISCRETE DEMAND; ELECTRIC HEAT; ELECTRICAL NETWORKS; ENERGY DEMANDS; HEAT PUMPS; HEATING CONTROLLER; LIGHT WEIGHT; LOW-CARBON ENERGY SYSTEMS; THERMAL CAPACITANCE;

ENERGY MANAGEMENT; HEAT PUMP SYSTEMS; OPERATING COSTS; PUMPS; SPACE HEATING; THERMAL COMFORT; WIND TURBINES;

CONTROLLERS;

CARBON EMISSION; CONTROL SYSTEM; COST-BENEFIT ANALYSIS; DEMAND-SIDE MANAGEMENT; DISCRETE ELEMENT METHOD; HEATING; PERFORMANCE ASSESSMENT; PUMP; RENEWABLE RESOURCE; WIND TURBINE;

EID: 80053230328     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2011.07.042     Document Type: Article

References (13)

1. Dulleck U. Do customer information programs reduce household electricity demand?-the Irish program. Energy Policy 2004, 32(8):1025-1032.
2. Moholkar AA. Computer aided home energy management system. MSc thesis, Morgantown, West Virginia, USA: West Virginia University; 2005.
3. Williams E, Matthews S, Brady T. Use of a computer-based system to measure and manage energy consumption in the home. In: Proceedings of the 2006 IEEE international symposium on electronics and the environment, vol. 10, Scottsdale, AZ; 2006. p. 167-72.
4. Molina-Garcia A, Fuentes JA, Gomez-Lazaro E, Bonastre A, Campelo JC, Serrano JJ. Application of wireless sensor network to direct load control in residential areas. In: IEEE international symposium on industrial electronics, Caixanova-Vigo, Spain; 2007. p. 1974-9.
5. Ha DL, De Lamotte FF, Huynh QH. Real-time dynamic multilevel optimization for demand-side load management. In: IEEE international conference on industrial engineering and engineering management (IEEM), Singapore; 2007. p. 945-9.
6. Abras S, Pesty S, Jacomino M. An anticipation mechanism for power management in a smart home using multi-agent systems. In: 3rd international conference on information and communication technologies: from theory to applications (ICTTA), Piscataway, USA; 2008. p. 1-6.
7. Hong J, Clark JA, Johnstone CM, Kim J. The application of demand-side management via Internet-enabled monitoring and control. In: 10th world renewable energy congress, Glasgow, UK; 2008. p. 2751-6.
8. Strbac G. Demand side management: benefits and challenges. Energy Policy 2008, 36(12):4419-4426. http://linkinghub.elsevier.com/retrieve/pii/S0301421508004606.
9. Fanger P.O. Thermal comfort analysis and applications in environmental engineering 1972, McGraw-Hill, New York.
10. CarbonTrust Small-scale wind energy - policy insights and practical guidance 2008, http://www.carbontrust.co.uk/Publications/pages/publicationdetail.aspx%3Fid%3DCTC738.
11. SDC Wind power in the UK 2005, http://www.sd-commission.org.uk/wind.
12. Decc Quarterly energy prices 2009, http://www.decc.gov.uk/en/content/cms/statistics/publications/prices/prices.aspx.
13. Malik A.S. Dynamic generating costs in DSM planning. IEEE Transactions on Power Apparatus and Systems 1999, 24:1-8.