Bi-level optimization of design, operation, and subsidies for standalone solar/diesel multi-generation energy systems
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Xi Luo | Jiaping Liu | Yanfeng Liu | Xiaojun Liu | Yanfeng Liu | Jia-ping Liu | Xiaojun Liu | Xi Luo
[1] G. Anandalingam,et al. A penalty function approach for solving bi-level linear programs , 1993, J. Glob. Optim..
[2] K. A. Antonopoulos,et al. Energetic, exergetic and financial evaluation of a solar driven absorption chiller – A dynamic approach , 2017 .
[3] Ricardo Guerrero-Lemus,et al. Renewable Energies and CO2 , 2013 .
[4] Richard S.J. Tol,et al. The marginal damage costs of carbon-dioxide emissions’ , 2005 .
[5] Wenbin Li,et al. Multi-criteria assessment and optimization study on 5 kW PEMFC based residential CCHP system , 2018 .
[6] You-Yin Jing,et al. Multi-objective optimization design and operation strategy analysis of BCHP system based on life cycle assessment , 2012 .
[7] Akbar Maleki,et al. Design and optimization of autonomous solar-wind-reverse osmosis desalination systems coupling battery and hydrogen energy storage by an improved bee algorithm , 2017, Desalination.
[8] M. Parsa Moghaddam,et al. A bi-level optimization model for operation of distribution networks with micro-grids , 2016 .
[9] H. T. Chen,et al. Optimal design of subsidy to stimulate renewable energy investments: The case of China , 2017 .
[10] Akbar Maleki,et al. Optimization of a grid-connected hybrid solar-wind-hydrogen CHP system for residential applications by efficient metaheuristic approaches , 2017 .
[11] Chris Hope,et al. The Social Cost of Co2 from the Page09 Model , 2011 .
[12] Jianhua Zhang,et al. Comprehensive optimisation of China’s energy prices, taxes and subsidy policies based on the dynamic computable general equilibrium model , 2015 .
[13] A. Micallef,et al. Overview of solar technologies for electricity, heating and cooling production , 2018, Renewable and Sustainable Energy Reviews.
[14] Zhigang Zhou,et al. Modelling and optimization of the smart hybrid renewable energy for communities (SHREC) , 2015 .
[15] Hossein Yousefi,et al. Multi-objective optimal component sizing of a hybrid ICE + PV/T driven CCHP microgrid , 2017 .
[16] Wei Gu,et al. Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers , 2018, Applied Energy.
[17] Sanjib Kumar Panda,et al. A multi-objective and robust optimization approach for sizing and placement of PV and batteries in off-grid systems fully operated by diesel generators: An Indonesian case study , 2018, Energy.
[18] Mario Guajardo,et al. Common Mistakes in Computing the Nucleolus , 2014 .
[19] Amro M. Al-Qutub,et al. Techno-economic analysis of solar-assisted air-conditioning systems for commercial buildings in Saudi Arabia , 2016 .
[20] Chanwoong Jeon,et al. Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case , 2015 .
[21] Jan Carmeliet,et al. Multiobjective optimisation of energy systems and building envelope retrofit in a residential community , 2017 .
[22] A. Kribus,et al. PCM storage for solar DHW: An unfulfilled promise? , 2008 .
[23] Akbar Maleki,et al. A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems , 2018, Renewable Energy.
[24] Mark A. Andor,et al. Optimal renewable-energy promotion: Capacity subsidies vs. generation subsidies☆ , 2016 .
[25] P. Nie,et al. On the welfare effects of subsidy game for renewable energy investment: Toward a dynamic equilibrium model , 2017, Renewable Energy.
[26] Lazaros G. Papageorgiou,et al. Optimal design of CHP-based microgrids: Multiobjective optimisation and life cycle assessment , 2015 .
[27] R. Garnaut. The Garnaut Review 2011: Australia in the Global Response to Climate Change , 2011 .
[28] Mirko M. Stojiljković,et al. Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics , 2017 .
[29] Xiaoqiang Zhai,et al. Optimization and performance analysis of solar hybrid CCHP systems under different operation strategies , 2018 .
[30] Yaoguang Hu,et al. A solution to bi/tri-level programming problems using particle swarm optimization , 2016, Inf. Sci..
[31] M. M. Ardehali,et al. Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm , 2018 .
[32] Ralph Evins,et al. Multi-level optimization of building design, energy system sizing and operation , 2015 .
[33] Jie Lu,et al. An extended Kth-best approach for linear bilevel programming , 2005, Appl. Math. Comput..
[34] P. Nie,et al. Output subsidy of renewable energy power industry under asymmetric information , 2016 .
[35] Ganesh Kothapalli,et al. Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems , 2018, Applied Energy.
[36] Yanfeng Liu,et al. Design and analysis of a combined desalination and standalone CCHP (combined cooling heating and power) system integrating solar energy based on a bi-level optimization model , 2018, Sustainable Cities and Society.
[37] M. M. Ardehali,et al. Effects of environmental emissions on optimal combination and allocation of renewable and non-renewable CHP technologies in heat and electricity distribution networks based on improved particle swarm optimization algorithm , 2017 .
[38] Taher Niknam,et al. Multi-objective energy management of CHP (combined heat and power)-based micro-grid , 2013 .
[39] Thomas E. Downing,et al. The Impacts and Costs of Climate Change , 2005 .
[40] Nilay Shah,et al. A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China , 2018 .
[41] Jamshid Aghaei,et al. Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems) , 2013 .
[42] Michael Baldea,et al. A multi-scale framework for simultaneous optimization of the design and operating strategy of residential CHP systems , 2017 .
[43] Y P Li,et al. An integrated bi-level optimization model for air quality management of Beijing's energy system under uncertainty. , 2018, Journal of hazardous materials.