Comparative life cycle assessment of various ammonia production methods

Biçer, Yusuf; Dinçer, İbrahim; Zamfirescu, Calin; Vezina, Greg; Raso, Frank

doi:10.1016/j.jclepro.2016.07.023

Cited by 262 publications

(132 citation statements)

References 18 publications

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“…A research developed a model GHG prediction for various ammonia production methods for life cycle assessment (LCA) analysis based on the cradle-to-gate method, starting from the various raw materials used until the formation of urea products. 26 CO 2 from flue gas is considered as a deduction from CO 2 emission. A cradle-to-gate LCA study was carried out with MS Excel.…”

Section: Minimization Of Co 2 Emissionsmentioning

confidence: 99%

Multi‐objective optimization of green urea production

Alfian

Purwanto

2019

Energy Science & Engineering

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The availability of natural gas as feedstock for nitrogen fertilizer production continues to decline, while its price increases, encouraging the search for renewable feedstocks for the future green urea industry. Renewable feedstocks include waste biomass, hydrogen from solar PV‐electrolysis, and the combination of these feedstocks with natural gas. The selection of a green production strategy is a critical step in the trade‐off between economic and environmental considerations. The aim of this work was to propose a green urea production strategy using a multi‐objective optimization (MOO) model to minimize production costs and environmental impacts by considering the future cost development of technologies and feedstock price for each technology in the time frame of 2020‐2050. The results show that green urea production can reduce production costs and greenhouse gas emissions, compared to conventional urea production. Biomass gasification technology fulfills the minimum requirements for production cost and CO2 emissions from 2020 to 2035 and combined biomass gasification‐PV electrolysis without battery technology is the optimum process from 2040 to 2050.

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Section: Minimization Of Co 2 Emissionsmentioning

confidence: 99%

Multi‐objective optimization of green urea production

Alfian

Purwanto

2019

Energy Science & Engineering

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“…The results showed that the production of ammonia based on wind energy, compared with conventional methods, significantly reduces greenhouse gas emissions. Pechsiri et al 30 used EROI and GHG savings potential, respectively, as indicators of commercial viability for two systems: the Swedish Seafarm project's seaweed cultivation, biogas, and fertilizer biorefinery and an estimation of the same system scaled up and adjusted to a cultivation of 10 ha. The results indicated that the upscaling of seaweed operations to biogas and the biological fertilizer production system, as defined by EROI and EURED GHG, provides requirements for biofuels, in particular, scale up of the system from 0.5 to 10 ha, leading to half the energy needed and greenhouse gas emissions.…”

Section: Figurementioning

confidence: 99%

Investigation of solar energy utilization for production of hydrogen and sustainable chemical fertilizer: A case study

Mostafaeipour

Sedeh

2019

Int J Energy Res

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Summary Renewable energies play a vital role in the economic and social development and progress of many countries. As one of the most significant sources of renewable energy, solar energy has been used due to its availability in many regions. Generating electricity for hydrogen production is one of the applications of solar energy. In petrochemical complexes, hydrogen is often used for producing fertilizers, especially urea fertilizers. The present study aims at investigating five major Iranian petrochemical complexes in terms of their suitability for the construction of a solar plant to produce electrolysis‐based green chemical fertilizers. To this end, a multicriteria decision‐making model is proposed, which includes the fuzzy analytic hierarchy process (AHP) and extended TODIM method of multicriteria decision making (including crisp, interval, and fuzzy numbers). The present research investigates 10 criteria for prioritizing petrochemical complexes, classified into four general categories, namely, climatic, geographic, environmental, and probability of natural disaster occurrence categories. Having calculated the weight of the criteria using the fuzzy AHP method, the alternatives are prioritized using the extended TODIM method. The methods of simple additive weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and VIKOR were then used for validation of the results. Results showed that the Shiraz Petrochemical Complex has the highest priority and Khorasan Petrochemical Complex has the lowest priority for producing green fertilizer via solar energy–assisted water electrolysis. By using the solar system, Shiraz Petrochemical Complex can emit over 1900 tons less pollutants in the environment per day and provides up to 8% of its annual total production through clean energy.

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“…Haber‐Bosch (HB) synthesis is a mature process that typically adopts natural gas, coal, or hydrocarbons as a feedstock to produce more than 96% of the global ammonia; however, it consumes nearly 2% of the total primary energy while simultaneously emits more than 1% of greenhouse gas emissions on the earth . Alternatively, given the ammonia is made of hydrogen (H 2 ) and nitrogen (N 2 ), producing NH 3 from low‐carbon electricity through water electrolysis has been regarded as a promising option recently to save on fossil fuels, to reduce carbon emissions and to relive the pressure on renewable energy storage.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

Dong

2020

Energy Science & Engineering

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The comprehensive evaluation of ammonia production systems is of great significance for improving the sustainability of energy management and food supply. Therefore, an important contribution could be provided by developing a generic decision-making framework for prioritizing multiple ammonia production systems and identifying the best one. In this view, this paper aims to propose an integrated fuzzy MADM (multiattribute decision making) framework combining fuzzy BWM (best-worst method), fuzzy CRITIC (Criteria Importance Through Intercriteria Correlation), and fuzzy GRP (gray relational projection) approaches for the sustainability assessment of ammonia production systems under hybrid information. Comparing with the previous MADM-based frameworks for sustainability assessment, this framework adopts the TFN (triangular fuzzy number) to deal with the hybrid information (ie, crisp numbers, interval values, and fuzzy numbers) that arise from real-world decision-making issues. Accordingly, the weights of criteria can be comprehensively determined by integrating the fuzzy BWM and fuzzy CRITIC, which balance experts' subjective preferences and system's objective properties under uncertainties in the determination of the weights, while the sequence of alternatives can be reliably prioritized by extending the GRP into fuzzy conditions, which escalates the ranking capability under hybrid information via considering the relationships and relative balance among the alternatives' performances regarding the multicriteria. Seven alternative systems were studied by the proposed framework, indicating that ammonia generated from hydropower-electrolysis and coal gasification would be more preferable than the others, by considering 12 criteria from the concerns of technological, environmental, economic, and social-political. Additionally, sensitivity analysis and result comparison were conducted to verify the rationality and feasibility of the framework. This work makes a methodological contribution to the MADM-based sustainability research and serves as a reference for developing the ammonia economy in the future. K E Y W O R D Sammonia production system, combined weights, fuzzy best-worst method, fuzzy gray relational projection, hybrid information, sustainability assessment

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Comparative life cycle assessment of various ammonia production methods

Cited by 262 publications

References 18 publications

Multi‐objective optimization of green urea production

Multi‐objective optimization of green urea production

Investigation of solar energy utilization for production of hydrogen and sustainable chemical fertilizer: A case study

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

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