Thermodynamic analysis and multi-objective optimization of a new biomass-driven multi-generation system for zero energy buildings

Mohammadikhah, Fazel; Javaherdeh, Kourosh; Mahmoudimehr, Javad

doi:10.1007/s12667-020-00379-8

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…This figure also indicates that sometimes the cooling or heating supplies are greater than their demands. This observation is due to the fact that the system equipment power rate is not allowed to be less than 40% of its nominal value (or rated value) 49 . It is worth mentioning that the optimal biomass consumption rate for the cities of Tehran, Ardabil and Bandar Abbas is calculated to be 0.057 kg/s, 0.04 kg/s and 0.032 kg/s, respectively.…”

Section: Resultsmentioning

confidence: 99%

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Techno‐economic assessment of a new biomass‐driven cogeneration system proposed for net zero energy buildings

Mohammadikhah

Javaherdeh

Mahmoudimehr

2021

Env Prog and Sustain Energy

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This study evaluates the techno‐economic feasibility of a new biomass‐driven cogeneration system designed to fulfill all energy requirements (i.e., electricity, hot water, cooling, and heating) of a grid‐connected building throughout the year. The proposed system is also expected to achieve the goal of zero energy building (ZEB). A 10‐story residential complex is considered as the present case study. The study is carried out for three cities of Iran with different climate conditions (mild, hot, and cold) and with the annual energy requirements of about 104,472 kWh, 128,784 kWh, and 142,518 kWh, respectively. After defining two objective functions (“annual actual benefit” and “loss of building requirements supply probability”), the system is optimized by using the Non‐dominated Sorting Genetic Algorithm (NSGA‐II). The results show that the designed system is economically viable with the levelized cost of energy (LCOE) of about 0.15–0.2 $/kWh. The results also indicate that if the cost of CO2 emission is taken into consideration, the annual benefit of the system is decreased by 16%–25%. Finally, a sensitivity analysis shows that heat generation cost and electricity selling price have the most and the least effect on the system's annual benefit, respectively.

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Section: Resultsmentioning

confidence: 99%

“…Subscripts ‘supply’ and ‘dem’ denote the value supplied by the system and demanded by the building, respectively. N shows the total hours in 1 year 49

LBRSP goodbreak= ((), \frac{\sum_{n = 1}^{normalN} hours [\begin{matrix} left \\ C_{supply} (n) < C_{dem} (n) or \\ H_{supply} (n) < H_{dem} (n) or \\ {HW}_{supply} (n) < {HW}_{dem} (n) \end{matrix}]}{normalN}) goodbreak\times 100

…”

Section: Optimizationmentioning

confidence: 99%

Techno‐economic assessment of a new biomass‐driven cogeneration system proposed for net zero energy buildings

Mohammadikhah

Javaherdeh

Mahmoudimehr

2021

Env Prog and Sustain Energy

Self Cite

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Design of a wide-area damping controller to tolerate permanent communication failure and time delay uncertainties

Bento

2021

Energy Syst

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Performance response analysis and optimization for integrated renewable energy systems using biomass and heat pumps: a multi-objective approach

Dong,

Qing,

et al. 2024

Carb Neutrality

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The focus of this study is to optimize the exploration of biomass-driven multi-energy systems, which include combined heat, power, and gas generation. The objective is to enhance the thermal, environmental, and economic performance indicators of the system. The optimization objectives encompass the quantities of internal combustion engines and air source heat pumps, as well as the dimensions of tanks utilized for anaerobic fermentation. A mathematical model was developed to optimize multiple objectives for combined heat, power, and gas generation systems by employing multi-objective intelligent optimization algorithms. The validation and analysis were conducted using rural residences in Lanzhou, Gansu Province, China, as a case study. The sensitivity analysis of biomass gasification combined heat and power systems was conducted from both technical and cost perspectives, examining the dynamic impact characteristics on the outcomes of multi-objective optimization. The findings indicate that the annual energy-saving rate of the optimized combined generation system decreased from 3.62% to -6.78%, while the growth in carbon emissions reduction rate increased from 76.05 to 81.38%, and the annual cost-saving rate grew from 0.97 to 14.96%. The power generation efficiency of the cogeneration station and hydraulic retention time were found to have a significant impact on the multi-objective optimization results of the combined generation system among the technical parameters. The unit cost of anaerobic fermentation tanks had a more significant impact on the multi-objective optimization results in terms of cost parameters, compared to the price of biogas residue.

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Thermodynamic analysis and multi-objective optimization of a new biomass-driven multi-generation system for zero energy buildings

Cited by 5 publications

References 39 publications

Techno‐economic assessment of a new biomass‐driven cogeneration system proposed for net zero energy buildings

Techno‐economic assessment of a new biomass‐driven cogeneration system proposed for net zero energy buildings

Design of a wide-area damping controller to tolerate permanent communication failure and time delay uncertainties

Performance response analysis and optimization for integrated renewable energy systems using biomass and heat pumps: a multi-objective approach

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