Exergetic life cycle assessment of a hydrogen production process

2012 ◽  
Vol 37 (7) ◽  
pp. 5665-5675 ◽  
Author(s):  
Ahmet Ozbilen ◽  
Ibrahim Dincer ◽  
Marc A. Rosen
2007 ◽  
Vol 167 (2) ◽  
pp. 461-471 ◽  
Author(s):  
Mikhail Granovskii ◽  
Ibrahim Dincer ◽  
Marc A. Rosen

Energy ◽  
2020 ◽  
Vol 190 ◽  
pp. 116416 ◽  
Author(s):  
Qiao Li ◽  
Guohui Song ◽  
Jun Xiao ◽  
Jingwen Hao ◽  
Haiyan Li ◽  
...  

2018 ◽  
Vol 164 ◽  
pp. 508-517 ◽  
Author(s):  
Qingqiang Wang ◽  
Yue Ma ◽  
Shuyuan Li ◽  
Jili Hou ◽  
Jian Shi

2021 ◽  
Author(s):  
Dyah Ika Rinawati ◽  
Alexander Ryota Keeley ◽  
Shutaro Takeda ◽  
Shunsuke Managi

Abstract This study conducted a systematic literature review of the technical aspects and methodological choices in life cycle assessment (LCA) studies of using hydrogen for road transport. More than 70 scientific papers published during 2000–2021 were reviewed, in which more than 350 case studies of use of hydrogen in the automotive sector were found. Only some studies used hybrid LCA and energetic input-output LCA, whereas most studies addressed attributional process-based LCA. A categorization based on the life cycle scope distinguished case studies that addressed the well-to-tank (WTT), well-to-wheel (WTW), and complete life cycle approaches. Furthermore, based on the hydrogen production process, these case studies were classified into four categories: thermochemical, electrochemical, thermal-electrochemical, and biochemical. Moreover, based on the hydrogen production site, the case studies were classified as centralized, on-site, and on-board. The fuel cell vehicle passenger car was the most commonly used vehicle. The functional unit for the WTT studies was mostly mass or energy, and vehicle distance for the WTW and complete life cycle studies. Global warming potential (GWP) and energy consumption were the most influential categories. Apart from the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model and the Intergovernmental Panel on Climate Change for assessing the GWP, the Centrum voor Milieukunde Leiden method was most widely used in other impact categories. Most of the articles under review were comparative LCA studies on different hydrogen pathways and powertrains. The findings provide baseline data not only for large-scale applications, but also for improving the efficiency of hydrogen use in road transport.


2007 ◽  
Vol 8 (2) ◽  
pp. 32-56
Author(s):  
Shiaw‐Wen Tien ◽  
Chung‐Ching Chiu ◽  
Yi‐Chan Chung ◽  
Chih‐Hung Tsai ◽  
Chin‐Fa Chang

2020 ◽  
Author(s):  
Xinzhe Zhu ◽  
Chi-Hung Ho ◽  
Xiaonan Wang

<p><a></a><a>The production process of many active pharmaceutical ingredients such as sitagliptin could cause severe environmental problems due to the use of toxic chemical materials and production infrastructure, energy consumption and wastes treatment. The environmental impacts of sitagliptin production process were estimated with life cycle assessment (LCA) method, which suggested that the use of chemical materials provided the major environmental impacts. Both methods of Eco-indicator 99 and ReCiPe endpoints confirmed that chemical feedstock accounted 83% and 70% of life-cycle impact, respectively. Among all the chemical materials used in the sitagliptin production process, </a><a>trifluoroacetic anhydride </a>was identified as the largest influential factor in most impact categories according to the results of ReCiPe midpoints method. Therefore, high-throughput screening was performed to seek for green chemical substitutes to replace the target chemical (i.e. trifluoroacetic anhydride) by the following three steps. Firstly, thirty most similar chemicals were obtained from two million candidate alternatives in PubChem database based on their molecular descriptors. Thereafter, deep learning neural network models were developed to predict life-cycle impact according to the chemicals in Ecoinvent v3.5 database with known LCA values and corresponding molecular descriptors. Finally, 1,2-ethanediyl ester was proved to be one of the potential greener substitutes after the LCA data of these similar chemicals were predicted using the well-trained machine learning models. The case study demonstrated the applicability of the novel framework to screen green chemical substitutes and optimize the pharmaceutical manufacturing process.</p>


2019 ◽  
Vol 125 ◽  
pp. 10005
Author(s):  
Yoyon Wahyono ◽  
H. Hadiyanto ◽  
Mochamad Arief Budihardjo ◽  
Widayat

Energy balance analysis study for the production process of biodiesel needs to be done to find out whether a production process of biodiesel activity has a surplus energy or minus energy. This study aims to analyse the balance of energy of the plantation of palm, production of palm oil, and production process units of biodiesel with the life cycle assessment in Banyuasin - Indonesia. The results of this study indicate that the largest energy input in the plantation of palm, production of palm oil, and production process units of biodiesel sequentially is the use of urea as N-fertilizer, electricity, and methanol. The value of NEB and NER in the production process of palm biodiesel sequentially is 5871 MJ and 1.17. Finally, the production process of palm biodiesel in Banyuasin area has a positive energy balance. The activity of production of palm biodiesel is proper to operate because it produces an energy surplus.


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