The corn cob gasification-based renewable energy recovery in the life cycle environmental performance of seed-corn supply chain: An Ecuadorian case study

2021 ◽  
Vol 163 ◽  
pp. 1523-1535
Author(s):  
José Alfonso Martillo Aseffe ◽  
Aldemar Martínez González ◽  
René Lesme Jaén ◽  
Electo Eduardo Silva Lora
Keyword(s):  
Supply Chain ◽  
Renewable Energy ◽  
Life Cycle ◽  
Environmental Performance ◽  
Energy Recovery ◽  
Corn Cob ◽  
Seed Corn

scholarly journals Modelling Sustainable Industrial Symbiosis

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1172
Author(s):  
Hafiz Haq ◽  
Petri Välisuo ◽  
Seppo Niemi
Keyword(s):  
Life Cycle ◽  
Waste Management ◽  
Environmental Performance ◽  
Life Cycle Cost ◽  
Economic Assessment ◽  
Environmental Benefits ◽  
Industrial Symbiosis ◽  
Comprehensive Model ◽  
Network Connections

Industrial symbiosis networks conventionally provide economic and environmental benefits to participating industries. However, most studies have failed to quantify waste management solutions and identify network connections in addition to methodological variation of assessments. This study provides a comprehensive model to conduct sustainable study of industrial symbiosis, which includes identification of network connections, life cycle assessment of materials, economic assessment, and environmental performance using standard guidelines from the literature. Additionally, a case study of industrial symbiosis network from Sodankylä region of Finland is implemented. Results projected an estimated life cycle cost of €115.20 million. The symbiotic environment would save €6.42 million in waste management cost to the business participants in addition to the projected environmental impact of 0.95 million tonne of CO2, 339.80 tonne of CH4, and 18.20 tonne of N2O. The potential of further cost saving with presented optimal assessment in the current architecture is forecast at €0.63 million every year.

scholarly journals Supply Chain and Life Cycle Cost of Roofing in Sabah: A Case Study

2011 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Lillian Gungat ◽  
Kurian V. John ◽  
Rohayah Ladom
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Life Cycle Cost

scholarly journals Life cycle assessment in the food supply chain: a case study

2015 ◽  
Vol 18 (2) ◽  
pp. 140-154 ◽  
Author(s):  
David McCarthy ◽  
Aristides Matopoulos ◽  
Philip Davies
Keyword(s):  
Life Cycle Assessment ◽  
Supply Chain ◽  
Life Cycle ◽  
Food Supply ◽  
Food Supply Chain

Risk Analysis in Renewable Energy System (RES) Investment for a Developing Country: A Case Study in Pakistan

2020 ◽  
Vol 19 (2) ◽  
pp. 204-223
Author(s):  
Izzet Alp Gul ◽  
Gülgün Kayakutlu ◽  
M. Özgür Kayalica
Keyword(s):  
Risk Factors ◽  
Renewable Energy ◽  
Life Cycle ◽  
Risk Analysis ◽  
Fossil Fuels ◽  
Energy Transition ◽  
Energy System ◽  
Assessment Model ◽  
Infrastructure Investments

Technological improvements allow changing a significant part of the electricity generation investments to renewable energies. Especially in emerging markets and energy import-dependent countries, shift to renewable energy generation became more important to break the links of dependency. Pakistan relies on imported fossil fuels; however, the country’s experience and ambition about the renewable energy transition gain prominence in recent years. Considering the long-term life cycle of energy infrastructure investments, possible risk factors and their dynamic nature must be analysed before the financial decisions are taken. This article aims to propose a system dynamics model for the risk analysis of investment life cycle. In this study, possible risk factors are detected and discussed in different categories. The casual loop diagram of possible risk factors and risk assessment model are designed, and the impacts are analysed. Case study of the proposed model in Pakistan highlighted the importance of commercial risks. The results achieved through this study will guide investors, sector participants and policymakers to develop stable strategies for promoting renewable energy in the country. JEL: Q42, P48, O13

scholarly journals Life Cycle Analysis of a Geothermal Power Plant: Comparison of the Environmental Performance with Other Renewable Energy Systems

2020 ◽  
Vol 12 (7) ◽  
pp. 2786 ◽  
Author(s):  
Riccardo Basosi ◽  
Roberto Bonciani ◽  
Dario Frosali ◽  
Giampaolo Manfrida ◽  
Maria Laura Parisi ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Life Cycle ◽  
Power Plant ◽  
Environmental Performance ◽  
Life Cycle Analysis ◽  
Energy Systems ◽  
Renewable Energy Systems ◽  
Geothermal Power Plant ◽  
A Value ◽  
Geothermal Power

A life cycle analysis was performed for the assessment of the environmental performances of three existing Italian power plants of comparable nominal power operating with different sources of renewable energy: Geothermal, solar, and wind. Primary data were used for building the life cycle inventories. The results are characterized by employing a wide portfolio of environmental indicators employing the ReCiPe 2016 and the ILCD 2011 Midpoint+ methods; normalization and weighting are also applied using the ReCiPe 2016 method at the endpoint level. The midpoint results demonstrate a good eco-profile of the geothermal power plant compared to other renewable energy systems and a definite step forward over the performance of the national energy mix. The Eco-Point single score calculation showed that wind energy is the best technology with a value of 0.0012 Eco-points/kWh, a result in line with previously documented life cycle analysis studies. Nevertheless, the geothermal power plant achieved a value of 0.0177 Eco-points/kWh which is close to that calculated for the photovoltaic plant (0.0087 Eco-points/kWh) and much lower than the national energy mix one (0.1240 Eco-points/kWh). Also, a scenario analysis allowed for a critical discussion about potential improvements to the environmental performance of the geothermal power plant.

An environmental balanced scorecard for supply chain performance measurement (Env_BSC_4_SCPM)

2016 ◽  
Vol 23 (6) ◽  
pp. 1398-1422 ◽  
Author(s):  
Luís Miguel D. F. Ferreira ◽  
Cristóvão Silva ◽  
Susana Garrido Azevedo
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Balanced Scorecard ◽  
Environmental Performance ◽  
Supply Chain Performance ◽  
Content Type ◽  
Proposed Model ◽  
Novel Model

Purpose – Companies need to excel in many areas to achieve a competitive advantage. This, together with pressure imposed by regulators and customers regarding sustainability concerns, leads companies to address sustainability in an integrated fashion across all management processes. The purpose of this paper is to suggest a model for the assessment of the environmental performance of a supply chain, based on four perspectives used in the balanced scorecard. Performance indicators are proposed based on the literature, as well as on the ISO 14031 and GRI standards, and were validated by a panel of experts. Design/methodology/approach – Based on a literature review on models for environmental performance management a novel model to assess the environmental performance of the supply chains (Env_BSC_4_SCPM) is proposed. Data collected from the first tier suppliers of an automotive industry case study are used to test the proposed model. Findings – The model developed was tested in a case study company, showing it ability to benchmark the company first tiers suppliers and products. The model is also useful as a decision support tool to define actions to be taken in order to improve the global environment performance of the supply chain. Research limitations/implications – The proposed model was developed to evaluate the environmental performance of supply chains. Nevertheless, the case study only takes account of the first tier suppliers, due to difficulties associated to data collecting for the other elements in the supply chain. Widening the frontiers, the next phase may include the application of this model to second, third and lower tier suppliers, as well as the final customer. Improvements in the model could also include the construction of a composite index to measure the environmental supply chain performance. Practical implications – The paper provides a model that can be used by practitioners to evaluate the environmental performance of their supply chain and to decide on actions to be taken to improve it. Originality/value – As stated by several authors, there has been limited research conducted in the field of environmental evaluation of supply chains. This paper proposes a novel model for the environmental performance of the supply chain and tests it using industrial empirical data.

scholarly journals The Application of Blockchain-Based Life Cycle Assessment on an Industrial Supply Chain

2021 ◽  
Author(s):  
Xuda Lin ◽  
Xing Li ◽  
Sameer Kulkarni ◽  
Fu Zhao
Keyword(s):  
Life Cycle Assessment ◽  
Supply Chain ◽  
Life Cycle ◽  
Inventory Data ◽  
Specific Data ◽  
Factors Affecting ◽  
Block Chain ◽  
New Framework ◽  
Significant Factors

Life Cycle Assessment (LCA) is a widely recognized tool used to evaluate environmental impacts of a product or process, based on the environmental inventory database and bills of material. Data quality is one of the most significant factors affecting the analysis results. However, currently most datasets in inventory databases are generic i.e., they may represent material and energy flow of a process at market average, instead of a specific process used by a manufacturer. As a result, stockholders are unable to track their supply chain to find out the actual environmental impact from each supplier and to compare the environmental performance of alternative options. In this paper, we developed a new framework i.e., blockchain based LCA (BC-LCA), where block-chain technology is adapted to secure and transmit inventory data from upstream suppliers to downstream manufacturers. With BC-LCA, more specific data can be acquired along the supply chain in a real-time manner. Moreover, the availability, accuracy, privacy, and automatic update of inventory data can be improved. A case study is provided based on an industrial supply chain, to demonstrate the utilization of BC-LCA.

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