Multi-objective optimization of combined cooling, heating and power system integrated with solar and geothermal energies

Ren, Fukang; Wang, Jiangjiang; Zhu, Sitong; Yi, Chen

doi:10.1016/j.enconman.2019.111866

Cited by 162 publications

(44 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Design parameters such as thermal oil temperature and air compressor pressure ratio [114] Assessing and optimizing the operation of a CCHP system integrated with solar and geothermal energies from energy, economic, and environmental perspectives.…”

Section: Exergy Efficiency Ticmentioning

confidence: 99%

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

et al. 2021

View full text Add to dashboard Cite

Energy generation and its utilization is bound to increase in the following years resulting in accelerating depletion of fossil fuels, and consequently, undeniable damages to our environment. Over the past decade, despite significant efforts in renewable energy realization and developments for electricity generation, carbon dioxide emissions have been increasing rapidly. This is due to the fact that there is a need to go beyond the power sector and target energy generation in an integrated manner. In this regard, energy systems integration is a concept that looks into how different energy systems, or forms, can connect together in order to provide value for consumers and producers. Cogeneration and trigeneration are the two most well established technologies that are capable of producing two or three different forms of energy simultaneously within a single system. Integrated energy systems make for a very strong proposition since it results in energy saving, fuel diversification, and supply of cleaner energy. Optimization of such systems can be carried out using several techniques with regards to different objective functions. In this study, a variety of optimization methods that provides the possibility of performance improvements, with or without presence of constraints, are demonstrated, pinpointing the characteristics of each method along with detailed statistical reports. In this context, optimization techniques are classified into two primary groups including unconstrained optimization and constrained optimization techniques. Further, the potential applications of evolutionary computing in optimization of Integrated Energy Systems (IESs), particularly Combined Heat and Power (CHP) and Combined Cooling, Heating, and Power (CCHP), utilizing renewable energy sources are grasped and reviewed thoroughly. It was illustrated that the employment of classical optimization methods is fading out, replacing with evolutionary computing techniques. Amongst modern heuristic algorithms, each method has contributed more to a certain application; while the Genetic Algorithm (GA) was favored for thermoeconomic optimization, Particle Swarm Optimization (PSO) was mostly applied for economic improvements. Given the mathematical nature and constraint satisfaction property of Mixed-Integer Linear Programming (MILP), this method is gaining prominence for scheduling applications in energy systems.

show abstract

Section: Exergy Efficiency Ticmentioning

confidence: 99%

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

et al. 2021

View full text Add to dashboard Cite

show abstract

“…However, this paper does not further investigate the optimal strategy. References [12,13] also show by simulation that the new strategy proposed by the authors has better performance than FTL and FEL strategies but also fails to find the optimal strategy. e simulation method can obtain the performance of CCHP system according to the determined operation strategy, such as primary energy utilization rate, operation cost, carbon dioxide emission, and so on.…”

Section: Introductionmentioning

confidence: 97%

“…In reference [11], the new operation strategies for the CCHP system with hybrid chillers, consisting of a combined electric and absorption chiller, are investigated by simulation, based on the variational electric cooling to cool load ratio. In [12,13], another new CCHP operation strategy is proposed, and the advantages of the new operation strategy are also illustrated by simulation. In reference [11], a variety of new operation strategies have been developed by combining electric chiller and absorption chiller, which have better performance than the traditional FTL and FEL.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is uncertain whether the commonly used operation strategies, FTL and FEL, are the least cost strategies, which are closely related to the operating environment of the CCHP system, such as cooling and heating load, electricity price, and so on. e optimal combination of the power and heat sources' outputs to satisfy heat and power demand of system and operational constraints is known as CHP (or CCHP) economic dispatch (CHPED) problem and has attracted a lot of interests, especially in the electricity market environment [10,[13][14][15][16]. e CHPED problem is a complex optimization problem to meet the demand of cooling, heating, and power loads at the same time.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Simulation Method Based on the Candidate Operation Strategies for the Combined Cooling, Heat, and Power (CCHP) System

Zhu

Zou

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With the change of the distributed Combined cooling, heat, and power (CCHP) system operation environment, such as the operation under the power market, CCHP needs to adopt the operation strategy based on cost minimization instead of the traditional following thermal load strategy (FTL). However, the current CCHP system simulation adopts FTL or FEL or a combination of the two; whether these strategies have the least cost has not been confirmed. In this paper, all kinds of operation strategies of the CCHP with two cooling methods are investigated according to the KKT conditions (Karush–Kuhn–Tucker conditions) of the optimal operation model. Among all the feasible operation strategies, most of them do not meet the KKT condition, and only 43 strategies may be the optimal ones that constitute candidate set. The conditions of the optimal operation strategy in the candidate set are obtained, and it is easy to calculate, so the optimal operation strategy can be easily selected from the candidate set. Some previously unnoticed strategies, for example, TEWM, PE-FPG, FTL-R, and FEL-L, may become optimal. A rule-based CCHP simulation method is established that selects the strategy with minimal cost as the optimal strategy from the candidate strategy set. The presented method has small time consumption and can simulate the optimal operation. The case study verified the characteristics of the proposed simulation method.

show abstract

“…Wang et al 11 proposes an expansion planning model for multi‐energy system integrating active distribution network, natural gas network, and energy hub; and the positive impact of active network managements on expanding multi‐energy system is originally investigated. Ren et al 12 on the basis of natural gas system considers absorption chiller energy storage device, ground source heat pump, gas turbine, etc and designs a hybrid energy subsystem integrating solar energy and geothermal energy. Talebi et al 13 considered the centralized heat storage device, designed the mixed community heating energy system, compared it with the traditional energy system, and designed a variety of scenario optimization schemes.…”

Section: Introductionmentioning

confidence: 99%

Multi‐scenario comprehensive benefit evaluation model of a multi‐energy micro‐grid based on the matter‐element extension model

Liu

Shen

et al. 2020

Energy Science & Engineering

View full text Add to dashboard Cite

Integrated energy systems and multi‐energy micro‐grids are complex multi‐agent collaborative optimization projects. According to the operating structure and characteristics of the multi‐energy system, considering the externality, economy and other factors, a scientific and effective comprehensive evaluation are important decision supports to ensure its implementation and promote its development. Therefore, this paper proposes a comprehensive benefit evaluation model of a multi‐energy micro‐grid based on the matter‐element extension model. With the research trends and practical requirements of multi‐energy micro‐grid benefit evaluation, an evaluation index system covering energy efficiency indicators, economic indicators, reliability indicators, and renewable energy consumption indicators has been constructed, and uncertainties have been resolved in cloud model and fuzzy set theory. Based on the advantages of the performance evaluation information, the system operation scenarios in the process of planning scheme formation are fully considered, and then a matter‐element‐extensible multi‐attribute decision‐making model is proposed to evaluate the comprehensive benefits of multi‐energy micro‐grids. Finally, the feasibility of the above method is verified by comparing the comprehensive benefit evaluation results of the multi‐energy micro‐grid under different planning scenarios. In addition, a certain decision‐making reference is provided for the formation of a multi‐energy micro‐grid configuration scheme.

show abstract

Multi-objective optimization of combined cooling, heating and power system integrated with solar and geothermal energies

Cited by 162 publications

References 38 publications

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

A Simulation Method Based on the Candidate Operation Strategies for the Combined Cooling, Heat, and Power (CCHP) System

Multi‐scenario comprehensive benefit evaluation model of a multi‐energy micro‐grid based on the matter‐element extension model

Contact Info

Product

Resources

About