Research of Optimal Operation on Micro-Turbine CCHP System

2007 ◽  
Author(s):  
Wei Bing ◽  
Zhiwei Wang ◽  
Jiang Lu ◽  
Li Li
Keyword(s):  
Natural Gas ◽  
Power Systems ◽  
Recovery Period ◽  
Energy System ◽  
Optimal Operation ◽  
Distributed Energy System ◽  
Micro Turbine ◽  
Building Cooling ◽  
Gas Price ◽  
Combined Cooling

Nowadays the application of MT-CCHP (Micro-Turbine Combined Cooling Heating and Power) systems is becoming more and more popular. Based on the micro-turbine, MT-CCHP systems use the fuels of natural gas, marsh gas and gasoline etc., work via the micro-turbine and surplus heat energy of the gasses and supply the heating, cooling and power to the buildings. MT-CCHP system has the advantages of step utilization in energy, energy conservation and environment protection, and is one of the most important directions of distributed energy system. In this paper, according to the steps of optimal scheme, several operational schemes of CCHP systems for a selected building are studied. The objective functions and their constraints are determined so as to minimize the annual total cost. The selected schemes are optimized using a program. The most suitable scheme to the building is gained and the optimal strategy is proposed. At last, the relationship of the natural gas price, the micro-turbine price and the investment recovery period of CCHP are studied. All these above will be good references to the economic analysis of BCHP (Building Cooling Heating Power) system.

scholarly journals Optimal Design of a Combined Cooling, Heating, and Power System and Its Ability to Adapt to Uncertainty

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3588 ◽  
Author(s):  
Tao Zhang ◽  
Minli Wang ◽  
Peihong Wang ◽  
Junyu Liang
Keyword(s):  
Optimal Design ◽  
Natural Gas ◽  
Planning Process ◽  
Load Ratio ◽  
Energy System ◽  
Electric Load ◽  
Distributed Energy System ◽  
Operation Parameters ◽  
Gas Price ◽  
Combined Cooling

To realize the best performances of the distributed energy system (DES), many uncertainties including demands, solar radiation, natural gas, and electricity prices must be addressed properly in the planning process. This study aims to study the optimal sizing and performances of a hybrid combined cooling, heating, and power (CCHP) system under uncertainty in consideration of the operation parameters, including the lowest electric load ratio (LELR) and the electric cooling ratio (ECR). In addition, the ability of the system to adapt to uncertainty is analyzed. The above works are implemented separately under three operation strategies with multi-objectives in energy and cost saving, as well as CO2 reducing. Results show that the system with optimized operation parameters performs better in both the deterministic and uncertain conditions. When the ECRs in the summer and in mid-season as well as the LELR are set at 50.00%, 50.00%, and 20.00% respectively, the system operating in the strategy of following the electric load has the best ability to adapt to uncertainty. In addition, among all the uncertainties, the single uncertain natural gas price and the single uncertain heating demand have the smallest and largest effects on the optimal design respectively.

Operation Modes and Economic Performance Study of 100kW Microturbine Building Cooling, Heating and Power Systems

2005 ◽  
Author(s):  
Jintao Huang ◽  
Zhenping Feng ◽  
Chen Yue ◽  
Li Liu
Keyword(s):  
Natural Gas ◽  
Economic Performance ◽  
Operation Time ◽  
Optimal Operation ◽  
Performance Study ◽  
Gas Engine ◽  
Operation Modes ◽  
Power Rate ◽  
Building Cooling ◽  
Gas Price

Microturbines are one of the most promising DG (Distributed Generation) technologies for Building Cooling, Heating and Power (BCHP) systems. They have advantages over other kinds of heat engines in terms of atmospheric emissions, fuel flexibility, noise, size, and vibration levels. The characteristics of the overall microturbine BCHP system may be different under various system configurations and operation modes which depend on the consumers and outdoor conditions. In this paper, on the basis of the authors’ previous work, the various possible operation modes are discussed under different external loads. The optimal operation modes are suggested to the microturbine BCHP schemes considering the various energy demands of a hotel in Xi’an. In the later part of this paper, the thermodynamic analyses and economic performance of microturbine BCHP system based on the first and the second laws of thermodynamics are carried out. The results show that even though the BCHP cogeneration system has the better economic performance both from the first and second laws evaluation, the benefits are affected by the operation modes because of the load uncertainty. The influence factors on the performance, such as power rate, natural gas price, operation time, are analyzed and compared for microturbine and gas engine BCHP systems. With the increase of natural gas price, or with the decrease of power rate, the economic performance advantages of both microturbine BCHP system and gas engine system are weakened, and the longer the cooling time, the shorter the payback periods for the system.

Dynamic Performance Testing Study of Micro-Turbine Based Distributed Energy System

2011 ◽  
Vol 71-78 ◽  
pp. 2534-2542
Author(s):  
Xue Mei Zhang ◽  
Cen Shen ◽  
Ying Jie Zhong ◽  
Chao Kui Qin ◽  
Da Han Zhou
Keyword(s):  
Gas Flow ◽  
Dynamic Performance ◽  
Performance Testing ◽  
Energy System ◽  
Optimal Operation ◽  
Gas Temperature ◽  
Distributed Energy ◽  
Time Data ◽  
Distributed Energy System ◽  
Micro Turbine

The gas intake system, micro-turbine (MT) system and the absorption chiller within a MT based Distributed Energy System (DES) demonstration project in Shanghai were experimentally modified. An Computer Aided Testing(CAT) system, including exhaust gas flow rate metering, gas temperature, gas pressure and gas composition testing instruments, together with the data acquisition module of MT, was added to continually monitor and record the real-time data of DES, which is the foundation for further MT based DES energy management, optimal operation and control strategies research .

scholarly journals Calculation and Analysis of the Interval Power Flow for Distributed Energy System Based on Affine Algorithm

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 600
Author(s):  
Bin Ouyang ◽  
Lu Qu ◽  
Qiyang Liu ◽  
Baoye Tian ◽  
Zhichang Yuan ◽  
...  
Keyword(s):  
Power Flow ◽  
Load Condition ◽  
Energy Systems ◽  
Energy System ◽  
Optimal Operation ◽  
Energy Utilization ◽  
Utilization Rate ◽  
Distributed Energy ◽  
Low Load ◽  
Distributed Energy System

Due to the coupling of different energy systems, optimization of different energy complementarities, and the realization of the highest overall energy utilization rate and environmental friendliness of the energy system, distributed energy system has become an important way to build a clean and low-carbon energy system. However, the complex topological structure of the system and too many coupling devices bring more uncertain factors to the system which the calculation of the interval power flow of distributed energy system becomes the key problem to be solved urgently. Affine power flow calculation is considered as an important solution to solve uncertain steady power flow problems. In this paper, the distributed energy system coupled with cold, heat, and electricity is taken as the research object, the influence of different uncertain factors such as photovoltaic and wind power output is comprehensively considered, and affine algorithm is adopted to calculate the system power flow of the distributed energy system under high and low load conditions. The results show that the system has larger operating space, more stable bus voltage and more flexible pipeline flow under low load condition than under high load condition. The calculation results of the interval power flow of distributed energy systems can provide theoretical basis and data support for the stability analysis and optimal operation of distributed energy systems.

Study on Feasible Gas Price Formulation Principle for BCHP in China

2009 ◽  
Author(s):  
W. Bai ◽  
W. D. Long
Keyword(s):  
Natural Gas ◽  
Electric Power ◽  
Life Cycle Cost ◽  
Price Ratio ◽  
Heating Systems ◽  
Driven Systems ◽  
Electricity Cost ◽  
Air Source Heat Pump ◽  
Building Cooling ◽  
Gas Price

Taking three cities in China — Shanghai, Beijing and Chengdu — as examples, under different power price and natural gas price policies, and at the same output level, this paper compares Building Cooling Heating and Power system (BCHP) with the other four cooling/heating sources systems by economic analysis. This paper calculates Life Cycle Cost (LCC) of the five systems to determine which the best is and which the worst is. The author compares the LCC of power-driven cooling/heating systems with that of gas-driven systems especially when power users should pay the basic electricity cost according to the maximum power demand (MPD) or transformer capacity. This paper defines price ratio of electric power to natural gas, builds first-order linear regression equation of equivalent uniform annual cost (EUAC) ratio of BCHP to power-driven air source heat pump to calculate the feasible price ratio of electric power to natural gas. Accordingly, the author suggests that government should give preferential natural gas price subsidies policies to BCHP users.

scholarly journals Three-stage optimization method for distributed energy system design under uncertainty

2019 ◽  
pp. 382-382
Author(s):  
Zhenyu Wang ◽  
Chupeng Xiao ◽  
Hao Li ◽  
Chaoyang Xu ◽  
Jun Zhao ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Design Method ◽  
System Optimization ◽  
Energy System ◽  
Optimization Method ◽  
Energy Prices ◽  
Distributed Energy ◽  
Distributed Energy System ◽  
Two Stages ◽  
Combined Cooling

Reasonable capacity configurations of distributed energy system are issues which need to be discussed. Determinate design without considering variations in energy load and energy prices can result in non-achievement of project targets during its service life. Therefore, a design method that takes into account uncertain factors takes precedence over other methods. In this paper, a three-stage optimization method is proposed to provide theoretical guidance on the optimization of combined cooling, heating and power (CCHP) system configurations. The first two stages link the optimization of the operation strategy and equipment capacities simultaneously under current load and energy prices. The Monte-Carlo Simulation is applied in the third stage to fully consider the effects of various possible scenarios, and the Tabu search algorithm (TS) was introduced for system optimization. The comprehensive benefits include energy consumption, economy, and emission level. These were taken into consideration in the objective function. Moreover, a detailed design process was presented to illustrate the application of the proposed method. In conclusion, the proposed method is not only suitable for the design of CCHP system, but could easily extend to other energy system easily.

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