scholarly journals Life-Cycle Assessment of Carbon Footprint of Bike-Share and Bus Systems in Campus Transit

2020 ◽  
Vol 13 (1) ◽  
pp. 158
Author(s):  
Sishen Wang ◽  
Hao Wang ◽  
Pengyu Xie ◽  
Xiaodan Chen
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Co2 Emission ◽  
Raw Material ◽  
Transit System ◽  
Two Systems ◽  
Bus System ◽  
Bike Share

Low-carbon transport system is desired for sustainable cities. The study aims to compare carbon footprint of two transportation modes in campus transit, bus and bike-share systems, using life-cycle assessment (LCA). A case study was conducted for the four-campus (College Ave, Cook/Douglass, Busch, Livingston) transit system at Rutgers University (New Brunswick, NJ). The life-cycle of two systems were disaggregated into four stages, namely, raw material acquisition and manufacture, transportation, operation and maintenance, and end-of-life. Three uncertain factors—fossil fuel type, number of bikes provided, and bus ridership—were set as variables for sensitivity analysis. Normalization method was used in two impact categories to analyze and compare environmental impacts. The results show that the majority of CO2 emission and energy consumption comes from the raw material stage (extraction and upstream production) of the bike-share system and the operation stage of the campus bus system. The CO2 emission and energy consumption of the current campus bus system are 46 and 13 times of that of the proposed bike-share system, respectively. Three uncertain factors can influence the results: (1) biodiesel can significantly reduce CO2 emission and energy consumption of the current campus bus system; (2) the increased number of bikes increases CO2 emission of the bike-share system; (3) the increase of bus ridership may result in similar impact between two systems. Finally, an alternative hybrid transit system is proposed that uses campus buses to connect four campuses and creates a bike-share system to satisfy travel demands within each campus. The hybrid system reaches the most environmentally friendly state when 70% passenger-miles provided by campus bus and 30% by bike-share system. Further research is needed to consider the uncertainty of biking behavior and travel choice in LCA. Applicable recommendations include increasing ridership of campus buses and building a bike-share in campus to support the current campus bus system. Other strategies such as increasing parking fees and improving biking environment can also be implemented to reduce automobile usage and encourage biking behavior.

scholarly journals Life-Cycle Assessment and Monetary Measurements for the Carbon Footprint Reduction of Public Buildings

2020 ◽  
Vol 12 (8) ◽  
pp. 3460 ◽  
Author(s):  
Maria Rosa Trovato ◽  
Francesco Nocera ◽  
Salvatore Giuffrida
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Co2 Emission ◽  
Temperate Climate ◽  
Residual Value ◽  
Public Buildings ◽  
Energy Retrofit ◽  
Low Co2 ◽  
Study Results

Energy consumption in public buildings increased drastically over the last decade. Significant policy actions towards the promotion of energy efficiency in the building sector have been developed involving sustainable low-CO2-emission technologies. This paper presents the results of an economic–environmental valuation of a standard energy retrofit project for a public building in a Mediterranean area, integrating a life-cycle assessment (LCA) into the traditional economic–financial evaluation pattern. The study results show that simple retrofit of sustainable low-CO2-emission strategies such as wooden double-glazed windows, organic external wall insulation systems, and green roofs can reduce energy needs for heating and cooling by 58.5% and 33.4%, respectively. Furthermore, the implementation of an LCA highlights that the use of sustainable materials reduces the building’s carbon footprint index by 54.1% after retrofit compared to standard materials, thus providing an additional increase in the socio-environmental–economic–financial results of 18%. Some proposals are made about the accounting of the replacement costs and the residual value as requested in the logic of life-cycle cost (that is the economic extension of the LCA), namely concerning the method to take into account the replacement costs and the residual value. The economic calculation highlights the fundamental role played by tax benefits supporting the building energy retrofit, also in temperate climate zones, thus allowing the creation of environmental benefits in addition to remarkable cost savings.

scholarly journals ANALISIS POTENSI DAMPAK LINGKUNGAN DARI BUDIDAYA TEBU MENGGUNAKAN PENDEKATAN LIFE CYCLE ASSESSMENT (LCA)

2019 ◽  
Vol 15 (1) ◽  
pp. 51-64
Author(s):  
Arieyanti Dwi Astuti
Keyword(s):  
Climate Change ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Natural Resources ◽  
Environmental Impacts ◽  
Raw Material ◽  
Photochemical Oxidation ◽  
Primary Data ◽  
Human Toxicity

ENGLISHMinimizing the adverse impact of sugarcane plantation can be carried out through many ways including increasing the efficiency of energy and natural resources consumption as well as improving the management of waste and emissions. Life Cycle Assessment (LCA) was applied to assess the environmental impact of sugarcane plantation without considering sugarcane usage as a raw material in the sugar industry (gate to gate). CML (baseline) was used as Life Cycle Impact Assessment (LCIA) method. This study aimed to: 1) examine the natural resources and energy consumption; 2) analyze and identify potential environmental impacts; and 3) recommend alternative improvements to reduce environmental impacts. It used primary data and secondary data. The results showed that: 1) natural resources were used to produce 16,097 ton of sugarcane or 1 ton of sugar, were land requirement (0.233 ha), water consumption (2,223.117 m3), and energy consumption (19,234.254 MJ); 2) there are five most potential environmental impacts which are analyzed by using openLCA including climate change (134,275.23 kg CO2 eq), eutrophication (120.24 kg PO4 eq), acidification (1.54 kg SO2 eq), photochemical oxidation (0.36 kg ethylene eq), and human toxicity (0.15 kg 1.4-dichlorobenzene eq); 3) alternative recommendation could be conducted by reducing the usage of inorganic fertilizer, and utilizing cane trash (dry leaves, green leaves, and tops) as boiler fuel for production process in sugar factory. INDONESIABudidaya tebu menimbulkan dampak negatif terhadap lingkungan sehingga diperlukan upaya untuk meminimalisir dampak negatif tersebut melalui efisiensi konsumsi energi, konsumsi sumber daya alam (SDA), serta pengelolaan limbah dan emisi. LCA merupakan salah satu metode untuk menganalisis dampak lingkungan dari budidaya tebu tanpa mempertimbangkan penggunaan tebu panen sebagai bahan baku industri gula (gate to gate). Metode yang digunakan untuk LCIA adalah CML (baseline). Penelitian ini  bertujuan untuk: 1) menghitung penggunaan SDA dan energy, 2) menganalisis dan mengidentifikasi potensi dampak lingkungan, dan 3) menyajikan rekomendasi perbaikan untuk menurunkan dampak lingkungan. Data penelitian berupa data primer dan data sekunder. Unit fungsional pada penelitian ini adalah produksi 1 ton gula untuk satu tahun. Hasil penelitian menunjukkan bahwa: 1) konsumsi SDA berupa lahan tebu seluas 0,233 ha, air sebanyak 2.223,117 m3 dan energi sebesar 19.234,254 MJ; 2) potensi dampak lingkungan yang dianalisis menggunakan OpenLCA menghasilkan 5 dampak lingkungan tertinggi, yaitu climate change (134.275,23 kg CO2 eq), eutrophication (120,24 kg PO4 eq), acidification (1,54 kg SO2 eq), photochemical oxidation (0,36 kg ethylene eq), and human toxicity (0,15 kg 1,4-dichlorobenzene eq); 3) alternatif perbaikan yang direkomendasikan berupa penggunaan pupuk anorganik dengan dosis yang tepat dan memanfaatkan limbah pasca pane n (daun kering, serasah) sebagai bahan bakar boiler untuk proses produksi industri gula.

Life Cycle Assessment of Typical Electric Vehicle IGBT Module

2016 ◽  
Vol 847 ◽  
pp. 398-402 ◽  
Author(s):  
Jun Li ◽  
Cheng Wang ◽  
Bo Zhang
Keyword(s):  
Carbon Dioxide ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Electric Vehicle ◽  
Co2 Emission ◽  
Carbon Dioxide Emission ◽  
Raw Material ◽  
Igbt Module ◽  
Carbon Dioxide Co2 ◽  
Whole Life Cycle

Based on Life cycle assessment (LCA) methodology, the carbon dioxide (CO2) emission of producing a typical electric vehicle (EV) IGBT module by the GaBi software has been analyzed. Carbon dioxide emission of each step, including raw material production, frontend, backend and transportation, of the whole life cycle was identified and evaluated. The results show that the CO2 emission of the frontend accounts for 51% of the total emission, and that of the backend accounts for 32.8%.

scholarly journals The Different Analysis of Carbon Footprint according to Life Cycle Assessment of Furniture Type: A case study of the Table

2017 ◽  
Vol 2 (5) ◽  
pp. 315
Author(s):  
Karuna Kwangsawat ◽  
Yanin Rugwongwan
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Product Life Cycle ◽  
Material Selection ◽  
Publishing House ◽  
Raw Material ◽  
Furniture Manufacturing ◽  
Raw Material Selection

This article attempts to present the process of preparing an analysis on differential Carbon Footprint of each furniture types according to their product life cycle. The case study on one type of furniture namely "Tables" is to assessment the environmental effect of the production process and the method of raw material selection in furniture manufacturing and by using carbon footprint is an indicator of its effect. By using different types of furniture and product grouping furniture to indicate and calculate the quantity of carbon footprint. During the study customer's perception in response to environmentally friendly products, the result is expected to be the quantity of carbon footprint could be classified into three levels, i.e. furniture with the high, the medium and the low level of carbon footprints.Keywords: Carbon Footprint; Life Cycle Assessment, Furniture Design, Environmental.ISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

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