Energy, exergy, and exergoeconomics (3E) analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation - Case study: Dezful city

Alirahmi, Seyed Mojtaba; Assareh, Ehsanolah

doi:10.1016/j.ijhydene.2020.08.160

Cited by 110 publications

(14 citation statements)

References 47 publications

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“…The parameters are collected from the meteorological data of hot summer and cold winter areas in China. The assumptions of CARDS which are used to promise the accuracy of the results are as follows: ,, The CARDS is at the steady state during operation. The kinetic energy and potential energy of the CARDS are negligible. The CARDS is simulated with no heat loss of equipment. The parameters of the environment are 25 °C and 101.325 kPa. The CARDS has no pressure drop. The stream produced in the evaporator and the liquid generated in the condenser are assumed as saturated. …”

Section: Methodsmentioning

confidence: 99%

“…Cui et al optimized a hybrid system, integrating the LiBr (lithium bromide) ARS with the NH 3 (ammonia) ARS and found that the total annual cost and the total exergy destruction of optimal solutions were, respectively, 5.9 and 5.4% lower than the minimum values . Alirahmi et al used NSGA-II to optimize a multigeneration energy system and indicated that the optimal exergy efficiency and the total equipment cost rate were 31.66% and 21.9$/GJ, respectively . From the NSGA-II results, Jain et al found that the MOO was better than single-objective optimization for the optimization of the vapor absorption system .…”

Section: Introductionmentioning

confidence: 99%

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Energy, Exergy, and Economic Analysis and Multiobjective Optimization of a Cascade Coupling System Driven by Low-Grade Waste Heat in Hot Summer and Cold Winter Areas of China

Wang

et al. 2021

ACS Sustainable Chem. Eng.

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This work proposes a cascade coupling system to recover low-grade waste heat. The hybrid system performs well in hot summer and cold winter areas of China. The economy, energy, and exergy analysis and multiobjective optimizations are conducted. Nondominated sorting genetic algorithm II is applied to realize the optimization process because of the contradiction between the three objective functions. The Pareto solutions are obtained, and the relationships between two different objectives are analyzed. The final optimal solutions are determined by the technique for order preference by similarity to an ideal solution method and the Shannon entropy method. Four schemes aiming at the maximum coefficient of performance (scheme 1), minimum total annual cost (scheme 2), minimum total exergy destruction (scheme 3), and multiobjective optimization (scheme 4) are studied. The results show that the minimum values of the total annual cost and the total exergy destruction are 57.73 × 10 4 $ and 336.91 kW, respectively. The maximum coefficient of performance is 0.61. The multiobjective optimization solutions achieve a 4.12% higher value than the minimum coefficient of performance, while the total annual cost and the total exergy destruction of solutions are 1.86 and 0.58%, respectively, lower than the maximum values. This work presents a deeper dissection and a multiobjective optimization of the cascade system and provides guidance for the development of low-grade waste heat recovery technologies.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy, Exergy, and Economic Analysis and Multiobjective Optimization of a Cascade Coupling System Driven by Low-Grade Waste Heat in Hot Summer and Cold Winter Areas of China

Wang

et al. 2021

ACS Sustainable Chem. Eng.

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“…It is hoped that the number of virtual machine migrations can be reduced as much as possible, and the number of running servers can be guaranteed at the same time. Literature [24] studies the methods of resource management, task scheduling [25], and load balancing in the data center from different angles and can effectively reduce part of energy consumption. Literature [26] regards carbon emissions as an important part of application expenses from the perspective of cloud applications and discusses how to allocate resources for cloud applications in data centers using mixed energy to make them use less grid energy that pollutes the environment as much as possible and obtains preliminary results by building a small experimental platform for testing.…”

Section: Related Workmentioning

confidence: 99%

Energy Economy and Energy Structure Optimization Countermeasures Based on Big Data Mining

Zhang

Lin

2022

Wireless Communications and Mobile Computing

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The impact of energy on the economy must be examined not only from an energy structure standpoint but also from an economic structure standpoint, as there is a close relationship between energy structure and energy economy. To avoid the negative effects of energy consumption on the economy, it is also necessary to assess the constraints to the development of the energy economy and then optimize the energy economy and energy structure to achieve rapid economic growth. The research object in this paper is a data center powered by renewable energy, and the resource and energy consumption management model and algorithm are examined. Different adaptive scheduling algorithms are designed for different emphases, and an approximate application scheduling algorithm for renewable energy utilization based on DM is proposed. When building a data center, researching the resource management and energy consumption management strategies can help determine the best energy access scheme. It can provide the necessary reference for specific planning, such as software and hardware configuration, equipment parameter determination, and power access, resulting in lower construction and operation costs.

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“…Before the simulation of the system, the design parameters are listed in Table 4. For the accuracy of the simulation, necessary assumptions are as follows [38][39][40]:…”

Section: Model Validations and The Design Of The Coupling Systemmentioning

confidence: 99%

Thermodynamic Analysis of a Hybrid System Coupled Cooling, Heating and Liquid Dehumidification Powered by Geothermal Energy

Xie

et al. 2021

Energies

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The utilization of geothermal energy is favorable for the improvement of energy efficiency. A hybrid system consisting of a seasonal heating and cooling cycle, an absorption refrigeration cycle and a liquid dehumidification cycle is proposed to meet dehumidification, space cooling and space heating demands. Geothermal energy is utilized effectively in a cascade approach. Six performance indicators, including humidity efficiency, enthalpy efficiency, moisture removal rate, coefficient of performance, cooling capacity, and heating capacity, are developed to analyze the proposed system. The effect of key design parameters in terms of desiccant concentration, air humidity, air temperature, refrigeration temperature and segment temperature on the performance indicators are investigated. The simulation results indicated that the increase of the desiccant concentration makes the enthalpy efficiency, the coefficient of performance, the moisture removal rate and the cooling capacity increase and makes the humidity efficiency decrease. With the increase of air humidity, the humidity efficiency and moisture removal rate for the segment temperatures from 100 to 130 °C are approximately invariant. The decreasing rates of the humidity efficiency and the moisture removal rate with the segment temperature of 140 °C increases respectively. Six indicators, except the cooling capacity and heating capacity, decrease with an increase of air temperature. The heating capacity decreases by 49.88% with the reinjection temperature increasing from 70 to 80 °C. This work proposed a potential system to utilize geothermal for the dehumidification, space cooling and space heating effectively.

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Energy, exergy, and exergoeconomics (3E) analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation - Case study: Dezful city

Cited by 110 publications

References 47 publications

Energy, Exergy, and Economic Analysis and Multiobjective Optimization of a Cascade Coupling System Driven by Low-Grade Waste Heat in Hot Summer and Cold Winter Areas of China

Energy, Exergy, and Economic Analysis and Multiobjective Optimization of a Cascade Coupling System Driven by Low-Grade Waste Heat in Hot Summer and Cold Winter Areas of China

Energy Economy and Energy Structure Optimization Countermeasures Based on Big Data Mining

Thermodynamic Analysis of a Hybrid System Coupled Cooling, Heating and Liquid Dehumidification Powered by Geothermal Energy

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