A probability constrained multi-objective optimization model for CCHP system operation decision support

Hu, Mengqi; Cho, Heejin

doi:10.1016/j.apenergy.2013.11.065

Cited by 124 publications

(51 citation statements)

References 32 publications

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“…The fuel consumption is given by (16 The output of a heat boiler is restricted by its lower and upper limits (17) . The fuel consumption is equal to the heat production divided by the efficiency of the boiler (18).…”

Section: ) Extraction Condensing Steam Turbinementioning

confidence: 99%

“…For example, dynamic stochastic programming is used in [12] to determine the optimal bidding strategy of a CHP operator in various electricity markets and robust optimization in [13] to optimally schedule the operation of CHP units in the day ahead market. In [14] stochastic programming is used to estimate the value of the electric boilers and heat pumps in a DH system as it is done also in [15], while in [16] a multiobjective chance constrained model is proposed to minimize the CHP operation costs, the total amount of primary energy consumption and the CO 2 emissions. Stochastic programming is also used in [17] where a multi-stage medium-term model for CHP operation is suggested considering some risk measure.…”

Section: Introductionmentioning

confidence: 99%

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District heating system operation in power systems with high share of wind power

Dimoulkas

Amelin

Levihn

2017

J. Mod. Power Syst. Clean Energy

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The integration of continuously varying and not easily predictable wind power generation is affecting the stability of the power system and leads to increasing demand for balancing services. In this study, a short-term operation model of a district heating system is proposed to optimally schedule the production of both heat and power in a system with high wind power penetration. The application of the model in a case study system shows the increased flexibility offered by the coordination of power generation, consumption and heat storage units which are available in district heating systems.

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Section: ) Extraction Condensing Steam Turbinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

District heating system operation in power systems with high share of wind power

Dimoulkas

Amelin

Levihn

2017

J. Mod. Power Syst. Clean Energy

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“…However, few researches have investigated the thermodynamic performance of the ORC system using novel optimization algorithm [23][24][25]. In this research, the variation tendency of engine exhaust energy rate under various operating conditions was obtained by experiment; a RORC system was employed to recover the exhaust heat from the diesel engine by using four different working fluids.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization of Regenerative Organic Rankine Cycle System for Diesel Engine Based on Particle Swarm Optimization

et al. 2015

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Abstract:To efficiently recover the waste heat from a diesel engine exhaust, a regenerative organic Rankine cycle (RORC) system was employed, and butane, R124, R416A, and R134a were used as the working fluids. The resulting diesel engine-RORC combined system was defined and the relevant evaluation indexes were proposed. First, the variation tendency of the exhaust energy rate under various diesel engine operating conditions was analyzed using experimental data. The thermodynamic model of the RORC system was established based on the first and second laws of thermodynamics, and the net power output and exergy destruction rate of the RORC system were selected as the objective functions. A particle swarm optimization (PSO) algorithm was used to optimize the operating parameters of the RORC system, including evaporating pressure, intermediate pressure, and degree of superheat. The operating performances of the RORC system and diesel engine-RORC combined system were studied for the four selected working fluids under various operating conditions of the diesel engine. The results show that the operating performances of the RORC system and the combined system using butane are optimal on the basis of optimizing the operating parameters; when the engine speed is 2200 r/min and engine torque is 1215 N·m, the net power output of the RORC OPEN ACCESSEnergies 2015, 8 9752 system using butane is 36.57 kW, and the power output increasing ratio (POIR) of the combined system using butane is 11.56%.

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“…Stochastic optimization model could be the effective way to solve this problem. Stochastic optimization is a method widely used in the field of energy planning [15,16], energy system planning [17][18][19][20][21][22][23], CCS infrastructure planning [24,25], and Combined Cooling, Heating, and Power (CCHP) generation systems [26]. In terms of studies on stochastic optimization in the power sector, there are a few studies [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China

2017

Sustainability

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Abstract:In order to solve problems caused by climate change, countries around the world should work together to reduce GHG (greenhouse gas) emissions, especially CO 2 emissions. Power demand takes up the largest proportion of final energy demand in China, so the key to achieve its goal of energy-saving and emission reduction is to reduce the carbon emissions in the power sector. Taking Shenzhen as an example, this paper proposed a stochastic optimization model incorporating power demand uncertainty to plan the carbon mitigation path of power sector between 2015 and 2030. The results show that, in order to achieve the optimal path in Shenzhen's power sector, the carbon mitigation technologies of existing coal and gas-fired power plants will be 100% implemented. Two-thirds and remaining one-third of coal-fired power plant capacities are going to be decommissioned in 2023 and 2028, respectively. Gas-fired power, distributed photovoltaic power, waste-to-energy power and CCHP (Combined Cooling, Heating, and Power) are going to expand their capacities gradually.

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A probability constrained multi-objective optimization model for CCHP system operation decision support

Cited by 124 publications

References 32 publications

District heating system operation in power systems with high share of wind power

District heating system operation in power systems with high share of wind power

Parametric Optimization of Regenerative Organic Rankine Cycle System for Diesel Engine Based on Particle Swarm Optimization

A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China

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