Research of Energy Optimal Operation on Building Cooling Heating and Power System

Jing Chao Ma; De Zheng Chang; Xiao Guang Xu; Zhe Wang

doi:10.4028/www.scientific.net/AMM.494-495.1606

Paper Titles

The Vector Control of PMSM Based on the Inverse System Theory
p.1587

Multi-Objective Operation Optimization of a Micro-Grid Using Modified Honey Bee Mating Optimization Algorithm
p.1593

A Cascading Failure Prediction Method in Power System Based on Multi-Agent and Hybrid Genetic Algorithm
p.1598

RETRACTED: Reliability and Cost Performance Ratio Analysis on EPON Protection Networking of Power Distribution Communication Network Access Layer
p.1602

Research of Energy Optimal Operation on Building Cooling Heating and Power System
p.1606

Correlation Analysis and Modeling of Main Parameters in Thermal Power Unit under FCB Conditions
p.1611

The Summary of Load Forecasting Method Based on Power Demand Side Management
p.1615

Specific Risks Assessment of Resource-Based Urban Power Network Planning
p.1619

Research on Security Access and Authentication Technology of Power Terminal Based on TNC
p.1623

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Research of Energy Optimal Operation on Building...

Research of Energy Optimal Operation on Building Cooling Heating and Power System

Abstract:

An energy optimizing operation model of BCHP distributed energy supply system is proposed in this paper. The objective function and its constraint conditions are determined so as to minimize the total cost. Not only the cooperation between BCHP and electric air conditioner, but also the influence of spot price of electricity is considered in this model. According to the demand forecast of cooling, heating and power load, operation schemes of some different typical days of BCHP system are optimized. Improved particle swarm optimization algorithm is adopted to solve the energy optimizing operation model for BCHP. Taken an actual commercial building as an example, this paper makes a comparison between BCHP system and separate supply system under the condition that electricity micro turbine generated is allowed to be sold to utility.

You might also be interested in these eBooks

Current Development of Mechanical Engineering and Energy

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

1606-1610

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.1606

Citation:

Cite this paper

Online since:

February 2014

Authors:

Jing Chao Ma*, De Zheng Chang, Xiao Guang Xu, Zhe Wang

Keywords:

BCHP, Improved Particle Swarm Optimization, Optimizing Operation Model, Spot Price

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] V. Havelsky: Energetic Efficiency of Cogeneration Systerns for Combined Heat, Cold and Power Production. International Jommal of Refrigeration, Vol. 22(1999), p.479.

DOI: 10.1016/s0140-7007(99)00010-9

Google Scholar

[2] J. B. Lee, J. H. Jeong: A Daily Optimal Operational Schedule for Cogeneration Systems in a Paper Mill. 2001 IEEE Power Engineering Society Summer Meeting, Vol. 3(2001), pp.1357-1362.

DOI: 10.1109/pess.2001.970274

Google Scholar

[3] Douglas M.E., Wagner T.C., Sahm M.K.: Economic Optimization of a Combined Heat and Power System for an Office Building. ASME Conference Proceedings, Vol. 2007(2007), pp.267-272.

DOI: 10.1115/es2007-36189

Google Scholar

[4] Li C.Z., Gu J.M., Huang X.H.: Influence of Energy Demands Ratio on the Optimal Facility Scheme and Feasibility of BCHP System. Energy and Buildings, Vol. 40(2008), pp.1876-1882.

DOI: 10.1016/j.enbuild.2008.04.004

Google Scholar

[5] Hou Yunhe, Liu Lijuan, Wu Yaowu. Enhance Particle Swarm Optimization Algorithm and Its Application on Economic Dispatch of Power Systems. Proceeding of CSEE, Vol. 24(2004), pp.95-100.

Google Scholar

[6] Gamou S., Ito K., Yokoyama R.: Optimal Operational Planning of Cogeneration Systems with Microturbine and Desiccant Air Conditioning Units. Journal of Engineering for Gas Turbines and Power, Vol. 127(2005), pp.606-614.

DOI: 10.1115/1.1850509

Google Scholar