全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

FEMAN: Fuzzy-Based Energy Management System for Green Houses Using Hybrid Grid Solar Power

DOI: 10.1155/2013/785636

Full-Text   Cite this paper   Add to My Lib

Abstract:

The United Nations has designated the year 2012 as the international year of sustainable energy. Today, we are seeing a rise in global awareness of energy consumption and environmental problems. Many nations have launched different programs to reduce the energy consumption in residential and commercial buildings to seek lower-carbon energy solutions. We are talking about the future green and smart houses. The subject of smart/green houses is not one of “why,” but rather “how,” specifically: “how making the future house more energy efficient.” The use of the renewable energy, the technology and the services could help us to answer this question. Intelligent home energy management is an approach to build centralized systems that deliver application functionality as services to end-consumer applications. The objective of this work is to develop a smart and robust controller for house energy consumption with maximizing the use of solar energy and reducing the impact on the power grid while satisfying the energy demand of house appliances. We proposed a fuzzy-based energy management controller in order to reduce the consumed energy of the building while respecting a fixed comfort. 1. Introduction The depletion of nonrenewable resource fuels such as gas, coal and petroleum on one hand, and the global climate change and awareness of the impact of harmful emissions on health and the environment on the other hand have led to an increased interest in the way we are using the energy [1]. Renewable energy is energy that comes from resources which are continually replenished such as sunlight, wind, rain, tides, waves, biomass, and geothermal heat. Nowadays there exist a wide range of technologies which possess this capability. However, most energy and environmental gains can be achieved by focusing efforts on improving the energy efficiency in residential and commercial buildings. Data collected by the Energy Information Administration shows that buildings account for 37% of the energy used in the United States, and of that energy, 53% is consumed by residential buildings [2]. In the short term, the energy conservation will certainly become the most important issue to address amongst engineers, researchers, and environmentalists with the rising consumption of resources and deterioration of the environment. Conserving energy would reduce the rise in energy costs and can reduce the need for new power plants. The reduced energy demand can provide more flexibility in choosing a cleaner and efficient method of energy production. Reduction in the emissions would certainly

References

[1]  J. Byun, I. Hong, B. Kang, and S. Park, “A smart energy distribution and management system for renewable energy distribution and context-aware services based on user patterns and load forecasting,” IEEE Transactions on Consumer Electronics, vol. 57, no. 2, pp. 436–444, 2011.
[2]  U.S. Department of Energy, The Smart Grid: An Introduction, 2008, http://www.oe.energy.gov/SmartGridIntroduction.htm.
[3]  A. Chehri and H. T. Mouftah, “A service-oriented architecture for smart building energy management,” in Proceedings of the of IEEE International Conference on Communications (ICC '13), Budapest, Hungary, June 2013.
[4]  M. Chan, D. Estève, C. Escriba, and E. Campo, “A review of smart homes—present state and future challenges,” Computer Methods and Programs in Biomedicine, vol. 91, no. 1, pp. 55–81, 2008.
[5]  Y. Chen and L. Wang, “A power market model with renewable portfolio standards, green pricing and GHG emissions trading programs,” in Proceedings of the IEEE Energy 2030 Conference, ENERGY, pp. 1–7, November 2008.
[6]  R. Sioshansi and P. Denholm, “The value of concentrating solar power and thermal energy storage,” IEEE Transactions on Sustainable Energy, vol. 1, no. 3, pp. 173–183, 2010.
[7]  A. Hajizadeh and M. A. Golkar, “Intelligent power management strategy of hybrid distributed generation system,” International Journal of Electrical Power and Energy Systems, vol. 29, no. 10, pp. 783–795, 2007.
[8]  US Department of Energy, “Building energy data book 2010,” Tech. Rep., US Department of Energy, Office of Energy Efficiency and Renewable Energy, 2011.
[9]  K. Ehrhardt-martinez and K. A. Donnelly, “Advanced Metering Initiatives and Residential Feedback Programs: A Meta-Review for Household Electricity-Saving Opportunities,” Energy, 2010.
[10]  A.-L. Lindén, A. Carlsson-Kanyama, and B. Eriksson, “Efficient and inefficient aspects of residential energy behaviour: what are the policy instruments for change?” Energy Policy, vol. 34, no. 14, pp. 1918–1927, 2006.
[11]  L. G. Swan and V. I. Ugursal, “Modeling of end-use energy consumption in the residential sector: a review of modeling techniques,” Renewable and Sustainable Energy Reviews, vol. 13, no. 8, pp. 1819–1835, 2009.
[12]  A. Pina, C. Silva, and P. Ferr?o, “The impact of demand side management strategies in the penetration of renewable electricity,” Energy, vol. 41, no. 1, pp. 128–137, 2012.
[13]  B. Sütterlin, T. A. Brunner, and M. Siegrist, “Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics,” Energy Policy, vol. 39, no. 12, pp. 8137–8152, 2011.
[14]  http://www.hydroottawa.com/.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133