Life cycle assessment and data envelopment analysis approach for the selection of building components according to their environmental impact efficiency: a case study for external walls

2015 ◽  
Vol 87 ◽  
pp. 707-716 ◽  
Author(s):  
Diego Iribarren ◽  
Antonino Marvuglia ◽  
Paula Hild ◽  
Mélanie Guiton ◽  
Emil Popovici ◽  
...  
2019 ◽  
Vol 7 (10) ◽  
pp. 359 ◽  
Author(s):  
Hwang ◽  
Jeong ◽  
Jung ◽  
Kim ◽  
Zhou

This research was focused on a comparative analysis of using LNG as a marine fuel with a conventional marine gas oil (MGO) from an environmental point of view. A case study was performed using a 50K bulk carrier engaged in domestic services in South Korea. Considering the energy exporting market for South Korea, the fuel supply chain was designed with the two largest suppliers: Middle East (LNG-Qatar/MGO-Saudi Arabia) and U.S. The life cycle of each fuel type was categorized into three stages: Well-to-Tank (WtT), Tank-to-Wake (TtW), and Well-to-Wake (WtW). With the process modelling, the environmental impact of each stage was analyzed based on the five environmental impact categorizes: Global Warming Potential (GWP), Acidification Potential (AP), Photochemical Potential (POCP), Eutrophication Potential (EP) and Particulate Matter (PM). Analysis results reveal that emission levels for the LNG cases are significantly lower than the MGO cases in all potential impact categories. Particularly, Case 1 (LNG import to Korea from Qatar) is identified as the best option as producing the lowest emission levels per 1.0 × 107 MJ of fuel consumption: 977 tonnages of CO2 equivalent (for GWP), 1.76 tonnages of SO2 equivalent (for AP), 1.18 tonnages of N equivalent (for EP), 4.28 tonnages of NMVOC equivalent (for POCP) and 26 kg of PM 2.5 equivalent (for PM). On the other hand, the results also point out that the selection of the fuel supply routes could be an important factor contributing to emission levels since longer distances for freight transportation result in more emissions. It is worth noting that the life cycle assessment can offer us better understanding of holistic emission levels contributed by marine fuels from the cradle to the grave, which are highly believed to remedy the shortcomings of current marine emission indicators.


2022 ◽  
Vol 20 (2) ◽  
pp. 325-334
Author(s):  
Danastri Ratna Nursinta Dewi ◽  
Singgih Saptadi ◽  
Heru Prastawa

Economic growth can be assessed through industrial development. However, problems arise regarding the discharge of waste into lakes or rivers, leading to biodiversity loss and endangering human health. A study conducted in the UK stated that small and medium enterprises (SMEs) were the largest contributor to waste and pollution. This was because they ignored the regulations governing environmental management. As happened in the Bekonang alcohol industry center, the waste from the alcohol production process polluted the Bengawan Solo tributary as the Water Supply Corporation (WSC). In order to overcome these problems, we need a measurement that can increase production efficiency. Eco-efficiency is a concept that combines efficiency and economy based on efficiency principles. The different models are proposed to measure the eco-efficiency of production, namely with a weighting system that aggregates environmental results. The Data Envelopment Analysis (DEA) enables aggregation without the need for subjective or normative judgments about weights. Although DEA does not require subjective or normative judgments, weight restrictions can be incorporated into the framework. The purpose of this study was to determine the eco-efficiency of the Bekonang alcohol production process using the economic results of the production process and the environmental impact assessed through a life cycle assessment (LCA). There were three products, namely 30% alcohol for consumption, 90% alcohol for medical purposes, and hand sanitizer. The environmental impact was assessed from a life cycle assessment, while the economic assessment was determined by calculating the net profit for each product at a capacity of 100 liters/day. Economic assessment can be divided into two perspectives, namely the Social Perspective (SP) and Company Perspective (CP). From the modeling results, the most eco-efficient production process was hand sanitizer with an eco-efficiency value of 1.ABSTRAKPertumbuhan ekonomi dapat dinilai melalui perkembangan industri, tetapi masalah muncul terkait pembuangan limbah ke danau atau sungai yang menyebabkan hilangnya keanekaragaman hayati yang membahayakan kesehatan manusia. Penelitian yang dilakukan di Inggris menyatakan, jika penyumbang limbah dan polusi terbesar adalah dari usaha kecil menengah (UKM), karena mereka mengabaikan peraturan yang mengatur tentang pengelolaan lingkungan. Seperti yang terjadi di sentra industri alkohol Bekonang, limbah hasil proses produksi alkohol mencemari anak sungai Bengawan Solo sebagai suplai air PDAM. Untuk mengatasi masalah tersebut diperlukan suatu pengukuran yang dapat meningkatkan efisiensi produksi. Eko-efisiensi merupakan konsep yang menggabungkan efisiensi dan ekonomi berdasarkan prinsip efisiensi. Model yang berbeda diusulkan untuk mengukur eko-efisiensi pada suatu produksi, yaitu dengan sistem pembobotan yang mengagregasi hasil lingkungan. Analisis data envelopment analysis (DEA) memungkinkan agregasi tanpa membutuhkan penilaian subjektif atau normatif pada bobot. Meskipun DEA tidak memerlukan penilaian subjektif atau normatif, pembatasan bobot dapat dimasukkan ke dalam kerangka kerja. Tujuan dari penelitian ini adalah untuk mengetahui nilai eko-efisiensi proses produksi alkohol Bekonang, menggunakan hasil ekonomi dari proses produksi dan dampak lingkungan, yang dinilai melalui life cycle assessment (LCA).Terdapat tiga produk yang dianalisi, alkohol 30% untuk konsumsi; alkohol 90% untuk keperluan medis; dan hand sanitizer. Dari hasil pemodelan yang telah dilakukan, proses produksi yang paling eko-efisien adalah hand sanitizer dengan nilai eko-efisiensi adalah 1.


Author(s):  
Hadi Shirouyehzad ◽  
F. Hosseinzadeh Lotfi ◽  
Mir. B. Aryanezhad ◽  
Reza Dabestani

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