Multi-objective techno-economic optimization of a solar based integrated energy system using various optimization methods

Keshavarzzadeh, Amir H.; Ahmadi, Pouria

doi:10.1016/j.enconman.2019.05.061

Cited by 70 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ab, absorber; cd, condenser; DEARC, double-effect absorption refrigeration cycle; ev, evaporator; EV, expansion valve; HP, heating process; HPG, high-pressure generator; HTHE, hightemperature heat exchanger; IHE, internal heat exchanger; KCS, Kalina cycle system; LPG, low-pressure generator; LTHE, low-temperature heat exchanger; ORC, organic Rankine cycle; PTSC, parabolic trough solar collector. utilized as the HTF in the solar collectors because of its high thermal capacity, 27 reasonable temperature control 49,50 and operation up to 400°C. 20 The main properties of the Therminol VP-1 are summarized in Table 1.…”

Section: System Specificationsmentioning

confidence: 99%

Energetic/exergetic study of Kalina and refrigeration bottoming cycles on different solar‐driven organic Rankine cycles

Dehghan,

Akbari,

Montazerin

et al. 2024

Energy Science & Engineering

View full text Add to dashboard Cite

Combination of different power cycle scenarios is of prime importance in achieving maximum energy utilization from solar‐driven multigeneration systems. To fulfill such objective, the present article proposes a novel energy distribution system, leveraging a combination of direct‐fed organic Rankine cycle (ORC) and a bottom‐cycled arrangement of Kalina cycle system (KCS) and double‐effect absorption refrigeration cycle (DEARC) within a parabolic trough solar collector powered trigeneration system. The study explores three different ORC configurations: simple ORC; ORC equipped with internal heat exchanger (ORC‐IHE) and regenerative ORC (RORC). It is shown that although higher efficiencies are achievable from a larger portion of PTSC energy absorbed by the ORC, the ORC energy absorption is limited by ORC evaporator temperature differences, and there is unused energy that can be recovered by the KCS, based on the proposed energy system. The results indicate that the addition of bottoming KCS leads to a considerable increase in the exergy efficiency of ORC, ORC‐IHE and RORC‐based systems by 11.7%, 30.7% and 32.6%, respectively. The impact of different ORC configurations, key ORC parameters and various organic working fluids on the energetic/exergetic efficiencies is also examined to find the optimal configuration. In terms of overall energetic/exergetic efficiencies, the highest performance belongs to ORC (78.4%/30.4%) while the lowest energetic and exergetic efficiencies belong to ORC‐IHE and RORC, respectively (56.3% and 25.65%). On the basis of a comparative study with the available literature, these values are higher than what is already reported for similar solar‐driven multigeneration systems. Appropriate thermal match and lower exergy destruction in the KCS, and bottoming cycle arrangement of the DEARC are the main reasons for such enhanced performance. This research not only contributes valuable insights into efficient solar‐driven systems but also sets a new benchmark for performance metrics in the existing literature.

show abstract

Section: System Specificationsmentioning

confidence: 99%

Energetic/exergetic study of Kalina and refrigeration bottoming cycles on different solar‐driven organic Rankine cycles

Dehghan,

Akbari,

Montazerin

et al. 2024

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…Quitoras et al took the minimum sum of the initial investment cost and operating cost as the optimization goal and carried out capacity planning of a variety of equipment in the target area containing photovoltaic and hybrid energy storage (battery and supercapacitor) energy units [15]. Keshavarzzadeh and Ahmadi constructed a comprehensive energy supply system equipment capacity configuration optimization model with the lowest energy cost of the electricity, heat, and gas subsystems, considering the energy balance of the energy system and the constraints of the energy equipment characteristics, and used the optimized area shrinkage algorithm to accelerate the solution [16]. Meesenburg et al considered the operation optimization of the integrated energy supply system on different time scales and optimized the operation of the integrated energy supply system through hybrid time scale modeling [17].…”

Section: Introductionmentioning

confidence: 99%

Rapid Identification of Economic Indicators of Integrated Energy Systems Based on Data Analysis

He¹,

Liu

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The construction of integrated energy systems has received widespread attention. In addition to system design and operating optimization, clarifying the internal relationship between the project’s own characteristics and its economic indicators is also important for high-value project selection and implementation. Based on various energy prices and the climatic characteristics of typical cities, 60 integrated energy supply projects in 4 typical cities were used as a case study, and the cold and heat source system solutions with the shortest investment payback period for each project were calculated through a system optimization model. We calculated the correlation coefficient between the initial investment of system equipment, annual energy supply, annual energy sales revenue, annual equivalent full-load energy supply hours, initial equipment investment indicators for annual unit energy supply, and the project’s static investment payback period. The key factors affecting the static investment payback period of the project were identified. The results show that, under the optimal system scheme, even for buildings of the same type in the same area, the economic indicators of different integrated energy projects are still quite different. Under the current design, operation, and operation conditions, load distribution is the decisive factor for the economic feasibility of the project. The static investment payback period of the project can be quickly calculated based on the equivalent full-load energy supply hours of the project throughout the year. Compared with the current numerical and system dynamics model for point-to-point single system optimizing modeling, the proposed statistical regression model can help reveal the main factors of integrated energy system’s economically feasible.

show abstract

“…Integrated energy systems (IES) are new types of integrated systems that adopt advanced technologies and integrated management methods to achieve effective integration of different energy sectors, e.g., electricity, gas, and district heating/cooling (Xiang et al, 2020). The multi-sectoral integration and coordinated planning of IES enable the improvement in energy efficiency and system flexibility (Keshavarzzadeh and Ahmadi, 2019). Meanwhile, IES can effectively utilize unstable renewable energy sources and reduce carbon emissions associated (Berjawi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Distributed optimization method for multi-area integrated energy systems considering demand response

Bai

Liu

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

Modern urban integrated energy systems are usually large in scale and consist of several subsystems located in different areas with various types of users. The design and operation optimization of multi-area integrated energy systems (IES) faces challenges in integrating user engagement, operational independence of subsystems, and the combination of long-term objectives and operation optimization. To solve these problems, the present study proposes a supply-demand coordinated optimization method for multi-area IES to balance the long-term overall objectives with the independence of participants such as users and subsystems. Increasing overall benefits and ensuring fairness can be achieved by using the proposed methods. In the case study, considering long-term objectives, the carbon emissions of the system operation are reduced by 9.43% compared to the case without the long-term objectives. Meanwhile, the results show an approximately 25% reduction in the total cost and a 65% reduction in carbon emission, compared to the baseline. Moreover, the cost of different users decreases by 13%–17% from the baseline at the optimal agreed price. This optimization method provides a holistic framework for the design and operation, supply-demand coordination, and pricing of transactions for multi-area IES involving long-term planning and construction with multiple interests.

show abstract

Multi-objective techno-economic optimization of a solar based integrated energy system using various optimization methods

Cited by 70 publications

References 34 publications

Energetic/exergetic study of Kalina and refrigeration bottoming cycles on different solar‐driven organic Rankine cycles

Energetic/exergetic study of Kalina and refrigeration bottoming cycles on different solar‐driven organic Rankine cycles

Rapid Identification of Economic Indicators of Integrated Energy Systems Based on Data Analysis

Distributed optimization method for multi-area integrated energy systems considering demand response

Contact Info

Product

Resources

About