scholarly journals Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7135
Author(s):  
Latifah Abdul Ghani ◽  
Nora’aini Ali ◽  
Ilyanni Syazira Nazaran ◽  
Marlia M. Hanafiah ◽  
Norhafiza Ilyana Yatim
Keyword(s):  
Carbon Footprint ◽  
Environmental Sustainability ◽  
Production Systems ◽  
Processing System ◽  
Decision Support Tool ◽  
Future Research ◽  
Model Framework ◽  
Support Tool ◽  
Desalination Plant ◽  
Carbon Footprint Assessment

The Life Cycle Assessment (LCA) system, which can be used as a decision support tool for managing environmental sustainability, includes carbon footprint assessment as one of the available methodologies. In this study, a carbon footprint assessment was used to investigate seawater production systems of a desalination plant in Senok, Kelantan, Malaysia. Three stages of the desalination plant processing system were investigated and the inventory database was developed using the relevant model framework. Subsequently, measurements and interpretations were performed on several key indicators such as greenhouse gases, energy efficiency, acidic gases, smog, and toxic gases. Overall, the results of the study indicate that the Reverse Osmosis (RO) technology that is used in the desalination plant in the study area is one of the best options to meet the demands of the environmental sustainability agenda (SDGs). This is due to the lower carbon dioxide (CO2) emission, of about 3.5 × 10−2 kg of CO2 eq per m3/year, that was recorded for the entire operation of the system. However, several factors that influence important errors in carbon footprint decisions, such as the lack of EIA reporting data and the literature on carbon footprint in the Malaysian scenario, in addition to direct and indirect carbon input calculations, need to be identified in more detail in future research.

scholarly journals Potential Reduction of Carbon Burden for Senak Seawater Desalination Plant in Malaysia

2020 ◽  
Author(s):  
A.Ghani Latifah ◽  
Ilyani Syazira Nazaran ◽  
Nora'aini Ali ◽  
Marlia Hanafiah
Keyword(s):  
Carbon Footprint ◽  
Environmental Sustainability ◽  
Fossil Fuel ◽  
Salt Water ◽  
Local Population ◽  
Processing System ◽  
Water Desalination ◽  
Potential Contribution ◽  
Model Framework ◽  
Desalination Plant

Abstract PurposeCarbon footprint calculation is one of the approaches available in the Life Cycle Assessment (LCA) system, which can be considered as a decision support tool for environmental sustainability management. Hence, this purpose of this study is to examine the potential contribution of the product, namely water through carbon footprint measurement. Seawater has been selected as the source for clean water transformation in Senak due to its ability to meet the growing demands of the local population and its ability to be recycled in the long term.MethodsIn this study, carbon footprint assessment was used to investigate seawater production systems from a desalination plant in Senok, Kelantan, Malaysia. Three stages of the desalination plant processing system have been investigated and the inventory database has been developed using the relevant model framework. The LCA method, in accordance with ISO14040-43 guidelines has been simplified with working unit selected is 1 per cubic meter of treated water produced from a salt water desalination source.Results and discussionOverall, the results of the study indicate that the Revolutionary Osmotic (RO) technology that has been used in the desalination plant in the study area is one of the best options to meet the demands of the environmental sustainability agenda (SDGs). This is due to a lower carbon dioxide (CO2) emission of about 3.5 × 10−2 kg of CO2 eq per m3/year that has been recorded for the entire operation of the system. The other pollutants involved the emission of NOx and Sox, which were considered to be insignificant. However, if the plant continues to operate completely on fossil fuel for the next 25 years, the emission is expected to affect the health of the community.ConclusionsSeveral factors that influence important errors in carbon footprint decisions such as the lack of EIA reporting data and the literature on carbon footprint in the Malaysian scenario. The total dependency of electrical source for SWRO process of fossil fuel is the most critical factor in the carbon footprint issue in this study. These findings can be used to develop a carbon footprint model that can commercialise carbon tax, carbon economy capital, energy security assurance, and standard carbon regulation and legislation in the context of local desalination projects.

scholarly journals Folk Theories of Artifact Creation: How Intuitions About Human Labor Influence the Value of Artifacts

2020 ◽  
Vol 24 (3) ◽  
pp. 195-211 ◽  
Author(s):  
Madeline Judge ◽  
Julian W. Fernando ◽  
Angela Paladino ◽  
Yoshihisa Kashima
Keyword(s):  
Environmental Sustainability ◽  
Industrial Production ◽  
Production Systems ◽  
Future Research ◽  
Folk Theory ◽  
Folk Physics ◽  
Lay Beliefs ◽  
Human Labor ◽  
Sociohistorical Context ◽  
Material Artifacts

What are the consequences of lay beliefs about how things are made? In this article, we describe a Western folk theory of artifact creation, highlighting how intuitive dualism regarding mental and physical labor (i.e., folk psychology) can lead to the perceived transmission of properties from makers to material artifacts (i.e., folk physics), and affect people’s interactions with material artifacts. We show how this folk theory structures the conceptual domain of material artifacts by differentiating the contemporary lay concepts of art/craft and industrial production, and how it influences people’s evaluations of different types of artifacts and their makers. We propose that the folk theory and lay concepts of art/craft and industrial production are best understood within a specific sociohistorical context, and review potential sources of cross-cultural and cross-temporal variation. We conclude by making recommendations for future research and examining the implications for promoting environmental sustainability and social justice in production systems.

scholarly journals Logic model framework for considering the inputs, processes and outcomes of a healthcare organisation–research partnership

2019 ◽  
Vol 29 (9) ◽  
pp. 746-755 ◽  
Author(s):  
Amir Alishahi Tabriz ◽  
Susan A Flocke ◽  
Deirdre Shires ◽  
Karen E Dyer ◽  
Michelle Schreiber ◽  
...  
Keyword(s):  
Delivery System ◽  
Research Team ◽  
Decision Support Tool ◽  
Logic Model ◽  
Healthcare Organisation ◽  
Research Partnership ◽  
Model Framework ◽  
System Science ◽  
Support Tool ◽  
Staff Members

BackgroundThe published literature provides few insights regarding how to develop or consider the effects of knowledge co-production partnerships in the context of delivery system science.ObjectiveTo describe how a healthcare organisation–university-based research partnership was developed and used to design, develop and implement a practice-integrated decision support tool for patients with a physician recommendation for colorectal cancer screening.DesignInstrumental case study.ParticipantsData were ascertained from project documentation records and semistructured questionnaires sent to 16 healthcare organisation leaders and staff, research investigators and research staff members.ResultsUsing a logic model framework, we organised the key inputs, processes and outcomes of a healthcare organisation–university-based research partnership. In addition to pragmatic researchers, partnership inputs included a healthcare organisation with a supportive practice environment and an executive-level project sponsor, a mid-level manager to serve as the organisational champion and continual access to organisational employees with relevant technical, policy and system/process knowledge. During programme design and implementation, partnership processes included using project team meetings, standing organisational meetings and one-on-one consultancies to provide platforms for shared learning and problem solving. Decision-making responsibility was shared between the healthcare organisation and research team. We discuss the short-term outcomes of the partnership, including how the partnership affected the current research team’s knowledge and health system initiatives.ConclusionUsing a logic model framework, we have described how a healthcare organisation–university-based research team partnership was developed. Others interested in developing, implementing and evaluating knowledge co-production partnerships in the context of delivery system science projects can use the experiences to consider ways to develop, implement and evaluate similar co-production partnerships.

scholarly journals Preflight Weather Decision Support Tool (PWDST): User-Centered Design Process and Usability Validation

2019 ◽  
Vol 63 (1) ◽  
pp. 1915-1919
Author(s):  
Jayde King ◽  
John Kleber ◽  
Ashlee Harris ◽  
Barbara Chaparro ◽  
Beth Blickensderfer
Keyword(s):  
Decision Support ◽  
Design Process ◽  
Decision Support Tool ◽  
General Aviation ◽  
Future Research ◽  
User Centered Design ◽  
Accident Rate ◽  
Support Tool ◽  
Perceived Usability ◽  
User Centered

General Aviation flight operations have been negatively affected by the slow decreasing weather related accident rate for the last 20 years. Upon further investigation, research suggests, that poor preflight planning and a lack of aviation weather experience and knowledge may be contributing factors to the stagnant weather related accident rate. Our team developed a Preflight Weather Decision Support Tool (PWDST) to help novice pilots access, interpret, and apply weather information. We used a user-centered design process which involved an initial task analysis, low-fidelity prototyping, low-fidelity usability testing, user interviews and expert review. This study assessed and compared the perceived usability, difficulty, and the system assistance satisfaction of the PWDST. Participants (n=9) completed a usability study and a series of surveys during, as well as, after the completion of the preflight planning scenario. A series of Mann-Whitney U Tests were conducted to compare the difference between Private Pilot and Certified Flight Instructors (CFI) perceived usability, difficulty, and system assistance satisfaction ratings. Results indicated, there were no significant differences between group ratings. Overall, both groups reported above average usability, system assistance and low difficulty rating for the PWDST. Future research and possible implications are discussed.

scholarly journals Development of a transboundary model of livestock disease in Europe

2021 ◽  
Author(s):  
Richard Bradhurst ◽  
Graeme Garner ◽  
Márk Hóvári ◽  
Maria de la Puente ◽  
Koen Mintiens ◽  
...  
Keyword(s):  
Production Systems ◽  
National Level ◽  
Decision Support Tool ◽  
Animal Disease ◽  
Control Policies ◽  
Support Tool ◽  
Outbreak Management ◽  
Continental Scale ◽  
Livestock Disease ◽  
Modelling Framework

SummaryEpidemiological models of notifiable livestock disease are typically framed at a national level and targeted for specific diseases. There are inherent difficulties in extending models beyond national borders as details of the livestock population, production systems and marketing systems of neighbouring countries are not always readily available. It can also be a challenge to capture heterogeneities in production systems, control policies, and response resourcing across multiple countries, in a single transboundary model.In this paper we describe EuFMDiS, a continental-scale modelling framework for transboundary animal disease, specifically designed to support emergency animal disease planning in Europe. EuFMDiS simulates the spread of livestock disease within and between countries and allows control policies to be enacted and resourced on per-country basis. It provides a sophisticated decision support tool that can be used to look at the risk of disease introduction, establishment and spread; control approaches in terms of effectiveness and costs; resource management; and post-outbreak management issues.

scholarly journals Multilayer Network-Based Production Flow Analysis

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Tamás Ruppert ◽  
Gergely Honti ◽  
János Abonyi
Keyword(s):  
Production Systems ◽  
Flow Analysis ◽  
Decision Support Tool ◽  
Exploratory Analysis ◽  
Benchmark Problem ◽  
Production Flow ◽  
Multilayer Network ◽  
Support Tool ◽  
Production Technologies ◽  
The Relationship

A multilayer network model for the exploratory analysis of production technologies is proposed. To represent the relationship between products, parts, machines, resources, operators, and skills, standardized production and product-relevant data are transformed into a set of bi- and multipartite networks. This representation is beneficial in production flow analysis (PFA) that is used to identify improvement opportunities by grouping similar groups of products, components, and machines. It is demonstrated that the goal-oriented mapping and modularity-based clustering of multilayer networks can serve as a readily applicable and interpretable decision support tool for PFA, and the analysis of the degrees and correlations of a node can identify critically important skills and resources. The applicability of the proposed methodology is demonstrated by a well-documented benchmark problem of a wire-harness production process. The results confirm that the proposed multilayer network can support the standardized integration of production-relevant data and exploratory analysis of strongly interconnected production systems.

scholarly journals Production Logistics Visibility – Perspectives, Principles and Prospects

2020 ◽  
Author(s):  
Ravi Kalaiarasan ◽  
Jan Olhager ◽  
Magnus Wiktorsson ◽  
Yongkuk Jeong
Keyword(s):  
Environmental Sustainability ◽  
Business Performance ◽  
Production Systems ◽  
Resource Planning ◽  
Future Research ◽  
Accurate Information ◽  
Material Management ◽  
Production Logistics ◽  
Network Status

Globalisation, competitive markets and increasing sustainability requirements are demanding companies to focus on visibility to improve their supply chains and ultimately their businesses. This paper aims to identify perspectives, principles and prospects of production logistics visibility (PLV). The study is based on a literature review of articles presenting definitions, development trends and the future role of PLV. It is concluded that visibility is generally defined by availability, quality, accessibility and usefulness of information. PLV could refer to the extent to which actors within the production systems have access to timely and accurate information considered useful to their operations. According to the findings, antecedents of PLV include digitalisation, IoT and connectivity. These steps are required to turn data into meaningful information that can be used for decision making in production and logistics setting to improve operational and business performance. Furthermore, to fully benefit from PLV, there has to be an integration of external and internal perspectives. Concluding, the paper defines future research efforts including four lines of exploration and development: (1) Intra-site visibility for material management including dynamic synchronisation, takt and resource planning. (2) Supply-oriented visibility for dynamic status and prediction of supply network status. These two initial lines of enquiry should include the perspectives of stakeholders, parameter, enabling technologies and potential impact. (3) A synthesised framework for Production Logistics Visibility, relying on utilizing antecedents and enabling multi-criteria decision in production logistics based on visibility, where performance in terms of efficiency, sustainability and flexibility is ensured. (4) To specifically detail and exploit the potential in production logistics visibility in the aspect of environmental sustainability and closed material and product loops.

Using a transport portfolio framework to reduce carbon footprint

2015 ◽  
Vol 26 (2) ◽  
pp. 296-312 ◽  
Author(s):  
Kristina Liljestrand ◽  
Martin Christopher ◽  
Dan Andersson
Keyword(s):  
Decision Support ◽  
Carbon Footprint ◽  
Quantitative Methods ◽  
Decision Support Tool ◽  
Load Factor ◽  
Theoretical Frameworks ◽  
Substantial Impact ◽  
Content Type ◽  
Support Tool ◽  
Modal Split

Purpose – The purpose of this paper is to develop a transport portfolio framework (TPF) and explore its use as a decision support tool for shippers wanting to improve their transport system in terms of reducing their carbon footprint. Design/methodology/approach – The TPF has been designed on the basis relevant theoretical frameworks in logistics and thereafter tested and further developed by the use of empirical data from a case study. Quantitative methods are used to find patterns in the shipment statistics for import flows obtained from a food retailer and carriers. Findings – The TPF highlights different avenues for decreasing the carbon footprint, by identifying the product flow characteristics that might affect modal split and load factor, and it is believed that these can help shippers’ intent on analysing the largest potential for improvement. This potential is estimated based on how the key variables, modal split and load factor, can be improved. Practical implications – Shippers can use the TPF as a decision support tool in their efforts to reduce their carbon footprint by: structuring complexity, managing data and finding effective solutions. Social implications – Reducing emissions is an increasingly important priority for shippers and the TPF helps them to direct their efforts towards approaches that have a substantial impact. Originality/value – The TPF provides an opportunity to match different approaches for improving the environmental performance with the potential for reducing carbon footprint in shippers’ transportation networks, by taking into account the complexity of logistics network.

scholarly journals Productivity-Enhancing Technologies. Can Consumer Choices Affect the Environmental Footprint of Beef?

2021 ◽  
Vol 13 (8) ◽  
pp. 4283
Author(s):  
Isaac A. Aboagye ◽  
Marcos R. C. Cordeiro ◽  
Tim A. McAllister ◽  
Kim H. Ominski
Keyword(s):  
Environmental Sustainability ◽  
Production Systems ◽  
Animal Health ◽  
Growth Hormones ◽  
Future Research ◽  
Public Attention ◽  
Beef Industry ◽  
Beta Adrenergic Agonists ◽  
Trade Offs ◽  
Research Questions

Use of productivity-enhancing technologies (PET: growth hormones, ionophores, and beta-adrenergic agonists) to improve productivity has recently garnered public attention regarding environmentally sustainability, animal welfare, and human health. These consumer perceptions and increased demand for PET-free beef offer opportunities for the beef industry to target niche premium markets, domestically and internationally. However, there is a need to critically examine the trade-offs and benefits of beef raised with and without the use of PETs. This review contains a summary of the current literature regarding PET products available. The implications of their use on resource utilization, food safety and security, as well as animal health and welfare are discussed. Furthermore, we identified gaps in knowledge and future research questions related to the sustainability of these technologies in beef production systems. This work highlights the tradeoffs between environmental sustainability of beef and supplying the dietary needs of a growing population.

Sign in / Sign up

Export Citation Format

Share Document