A comprehensive energy solution for households employing a micro combined cooling, heating and power generation system
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In recent years, micro combined cooling, heating and power generation (mCCHP) systems have attracted much attention in the energy demand side sector. The input energy of a mCCHP system is natural gas, while the outputs include heating, cooling and electricity energy. The mCCHP system is deemed as a possible solution for households with multiple energy demands. Given this background, a mCCHP based comprehensive energy solution for households is proposed in this paper. First, the mathematical model of a home energy hub (HEH) is presented to describe the inputs, outputs, conversion and consumption process of multiple energies in households. Then, electrical loads and thermal demands are classified and modeled in detail, and the coordination and complementation between electricity and natural gas are studied. Afterwards, the concept of thermal comfort is introduced and a robust optimization model for HEH is developed considering electricity price uncertainties. Finally, a household using a mCCHP as the energy conversion device is studied. The simulation results show that the comprehensive energy solution proposed in this work can realize multiple kinds of energy supplies for households with the minimized total energy cost.
Keywordsenergy hub micro combined cooling heating and power generation (mCCHP) thermal comfort robust optimization
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This work is jointly supported by the National Natural Science Foundation of China (Grant No. 51477151), and National Key Research and Development Program of China (Basic Research Class) (No. 2017YFB0903000).
- 1.Rifkin J. The Third Industrial Revolution: How Lateral Power Is Transforming Energy, the Economy, and the World. New York: Palgrave MacMillan, 2011Google Scholar
- 4.Badea N. Design for Micro-combined Cooling, Heating and Power Systems: Stirling Engines and Renewable Power Systems. London: Springer, 2014Google Scholar
- 12.Tasdighi M, Ghasemi H, Rahimi-Kian A. Residential microgrid scheduling based on smart meters data and temperature dependent thermal load modeling. IEEE Transactions on Smart Grid, 2014, 5 (1): 349–357Google Scholar
- 14.Energy Saving Advice Service. The benefits of micro-CHP. 2016–02–16, http://www.energysavingtrust.org.uk/domestic/micro-chpGoogle Scholar
- 18.Fanger P. Thermal Comfort. Copenhagen: Danish Technical Press, 1970Google Scholar
- 19.He P. The study about indoor air conditioning based on PMV. Dissertation for the Master’s Degree. Chongqing: Chongqing University, 2010Google Scholar
- 20.ISO Standard 7730. Moderate thermal environment-determination of PMV and PPD indices and specification of the condition for thermal comfort, 1984Google Scholar
- 23.Bertsimas D, Thiele A. Robust and data-driven optimization: modern decision-making under uncertainty. 2012–10–15, http://web.mit.edu/dbertsim/www/papers/Robust%20Optimization/Robust%20and%20data-driven%20optimization-%20modern% 20decision-making%20under%20uncertainty.pdfGoogle Scholar