Performance assessment of CCHP systems with different cooling supply modes and operation strategies

Feng, Lejun; Dai, Xiaoye; Mo, Junrong; Shi, Lin

doi:10.1016/j.enconman.2019.04.048

Cited by 40 publications

(11 citation statements)

References 30 publications

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“…RIES have become one of the important ways for global low-carbon eco-cities to achieve the goal of energy conservation and emission reduction. RIES include regional heating [14,15], regional cooling [16], regional cooling and heating [17,18], regional combined heat and power, regional combined cooling heating and power [19][20][21], and so on. At present, the research on the technology of RIES has been considerable.…”

Section: Regional Integrated Energy System In City Planningmentioning

confidence: 99%

A Graph Theory-Based Method for Regional Integrated Energy Network Planning: A Case Study of a China–U.S. Low-Carbon Demonstration City

Chen

Zhu

2019

Energies

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With the significant attention on global climate change, regional integrated energy systems (RIES) in low-carbon city planning has become one of the most important ways for global cities to achieve the goal of energy conservation and emission reduction. However, the planning strategy used in the primary stage of RIES establishment will greatly affect the system economy and environment. In view of the lack of planning guidance mechanisms for the large-scale RIES in China, a method for RIES preliminary overall planning, focused on energy types and use, is proposed in this paper. A graph theory-based mathematical optimal model was established with the lifetime costs of the whole system as the economic goal, and an improved Prim algorithm was put forward to solve the costs of the transmission and distribution network with the dynamic weight set of pipeline flow. The model was solved by an algorithm based on the idea of a dynamic minimum spanning tree and optimal path planning. The model and method were applied in a China–U.S. low-carbon demonstration city to verify feasibility and validity. The results could help us to comprehensively integrate regional energy and accurately plan future cities.

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Section: Regional Integrated Energy System In City Planningmentioning

confidence: 99%

A Graph Theory-Based Method for Regional Integrated Energy Network Planning: A Case Study of a China–U.S. Low-Carbon Demonstration City

Chen

Zhu

2019

Energies

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“…Such modeling idea has been extensively used in the literature. For instance, Feng et al proposed a heat transfer based model of the combined cooling, heating, and power IES (CCHP‐IES) to compare the cooling supply modes and operation strategies 6 . Similarly, Liu established a model in the forms of heat constraints of heat‐supplied devices to study the collaborative planning of IES 7 .…”

Section: Introductionmentioning

confidence: 99%

Stochastic model predictive control operation strategy of integrated energy system based on temperature‐flowrate scheduling model considering detailed thermal characteristics

Wei

Sun

et al. 2020

Int J Energy Res

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Summary A scheduling model is a prerequisite for an operation strategy of integrated energy system (IES). Existing scheduling models of IES, however, are typically based on heat‐transfer variables either completely or partially, which oversimplify detailed thermal characteristics. To this end, a novel scheduling model is proposed where all thermal processes are modeled by temperature and flowrate of working fluids. This improvement renders the capability to the scheduling model to incorporate different thermal processes. Furthermore, the nonlinear product terms of temperature and flowrate in the proposed model are linearized by the binary expansion method. Based on the linearized scheduling model, a stochastic model predictive control (SMPC) operation strategy is exploited to optimize the economic performance by energy forecast, scenario reduction, rolling optimization, and feedback correction. Afterwards, four operation modes considering different temperature changes of the devices, networks, and the environment are performed and compared. The results found that thermal characteristics will affect device operation results and the degree of influence varies. The network temperature changes have the broadest influence, followed by the device and the ambient temperature changes. Moreover, system operation costs are also affected by detailed thermal characteristics. The total cost, the gas cost, and the electricity cost under Mode 2 are almost the same to those of Mode 1. However, the first two costs are reduced by 3.4% and 5.3% under Mode 3, and are reduced by 2.7% and 4% under Mode 4, despite that the electricity cost increases by 0.2% under Mode 3 and remains almost the same under Mode 4. These indicate that reliability and economy of an IES are affected by thermal characteristics, and it is thus the necessity to consider detailed thermal characteristics in an operation. Moreover, the results demonstrate the capability of the generalized temperature‐flowrate based scheduling model and the effectiveness of the SMPC operation strategy.

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“…Once the system's configuration is given, the operation strategy will be the uniquely adjustable factor that affects system's running conditions. Based on two different chiller configuration schemes, Feng et al 22 explored the relationships between the operation strategies and the system performance. In their research, dimensionless parameters and energy‐matching maps were built to analyze the system quantitatively, also energy, economic, and ecological indicators were adopted to make performance evaluation for the system.…”

Section: Introductionmentioning

confidence: 99%

Optimal design and 4E assessment of typical combined cooling, heating and power systems considering the effects of energy price fluctuation

et al. 2020

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Although as an advanced energy utilization approach, the performance of combined cooling, heating, and power (CCHP) system is susceptible to its configuration and operation strategy. Energy price will also affect the system performance indirectly by influencing the system's design scheme. In this paper, a linear programming (LP) based optimization model is formulated to obtain the optimal design scheme that minimizes the annual total cost of typical CCHP systems, and a comprehensive assessment framework involving economic, energy, exergy, and ecological (4E) aspects is established to assess the system performance roundly. Taking a CCHP project in Xian, China as the specific case, the design and assessment of the CCHP system are completed and sensitivity analyses for two steps, namely configuration design step and operation strategy design step, are carried out to explore the impacts of energy price fluctuation on the design scheme and performance of the system. In this process, the coupling relationship between the purchase price of natural gas and electricity are considered, and as a special form of energy price, the effects of the feed-in tariff are also discussed. The results show that the performance of the CCHP system is superior to the separate generation (SG) system in 4E aspects, reducing the running and maintenance cost, primary energy consumption, and greenhouse gas emissions by 18.63%, 24.77%, and 31.88%, respectively, and promoting the exergy efficiency by 30.87%. The feed-in tariff lower than or equal to the electricity price will have positive effects on the overall performance of the CCHP system, and a lower natural gas price and a higher electricity price are benefit for playing the advantages of the system.

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Performance assessment of CCHP systems with different cooling supply modes and operation strategies

Cited by 40 publications

References 30 publications

A Graph Theory-Based Method for Regional Integrated Energy Network Planning: A Case Study of a China–U.S. Low-Carbon Demonstration City

A Graph Theory-Based Method for Regional Integrated Energy Network Planning: A Case Study of a China–U.S. Low-Carbon Demonstration City

Stochastic model predictive control operation strategy of integrated energy system based on temperature‐flowrate scheduling model considering detailed thermal characteristics

Optimal design and 4E assessment of typical combined cooling, heating and power systems considering the effects of energy price fluctuation

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