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  Subjects -> CONSERVATION (Total: 128 journals)
Showing 1 - 37 of 37 Journals sorted by number of followers
Conservation Biology     Hybrid Journal   (Followers: 279)
Biological Conservation     Hybrid Journal   (Followers: 247)
Biodiversity and Conservation     Open Access   (Followers: 195)
Ecological Economics     Hybrid Journal   (Followers: 142)
Ecology and Evolution     Open Access   (Followers: 100)
Global Ecology and Biogeography     Hybrid Journal   (Followers: 65)
Environmental Conservation     Hybrid Journal   (Followers: 63)
Ecology and Society     Open Access   (Followers: 50)
Frontiers in Ecology and Evolution     Open Access   (Followers: 48)
Animal Conservation     Hybrid Journal   (Followers: 48)
Functional Ecology     Hybrid Journal   (Followers: 48)
Restoration Ecology     Hybrid Journal   (Followers: 46)
Aquatic Conservation Marine and Freshwater Ecosystems     Hybrid Journal   (Followers: 44)
Diversity and Distributions     Open Access   (Followers: 43)
Landscape and Urban Planning     Hybrid Journal   (Followers: 36)
Nature Conservation     Open Access   (Followers: 35)
Conservation Science     Open Access   (Followers: 29)
Environmental and Resource Economics     Hybrid Journal   (Followers: 29)
Conservation     Hybrid Journal   (Followers: 28)
Journal for Nature Conservation     Hybrid Journal   (Followers: 27)
Journal of the Institute of Conservation     Hybrid Journal   (Followers: 25)
Conservation Genetics     Hybrid Journal   (Followers: 22)
Ecological Restoration     Full-text available via subscription   (Followers: 22)
Society & Natural Resources: An International Journal     Hybrid Journal   (Followers: 21)
Forest Policy and Economics     Hybrid Journal   (Followers: 21)
Journal of Rural Studies     Hybrid Journal   (Followers: 20)
Oryx     Open Access   (Followers: 20)
Resources, Conservation & Recycling     Hybrid Journal   (Followers: 20)
Journal of Industrial Ecology     Hybrid Journal   (Followers: 18)
Wildlife Research     Hybrid Journal   (Followers: 18)
International Journal of Sustainable Development     Hybrid Journal   (Followers: 17)
African Journal of Ecology     Hybrid Journal   (Followers: 17)
Studies in Conservation     Hybrid Journal   (Followers: 16)
Nature Sustainability     Hybrid Journal   (Followers: 15)
Lakes & Reservoirs Research & Management     Hybrid Journal   (Followers: 14)
Global Ecology and Conservation     Open Access   (Followers: 13)
Journal for the Study of Religion, Nature and Culture     Hybrid Journal   (Followers: 12)
African Journal of Range & Forage Science     Hybrid Journal   (Followers: 12)
Wildfowl     Open Access   (Followers: 11)
Bulletin of the American Museum of Natural History     Open Access   (Followers: 10)
Arid Land Research and Management     Hybrid Journal   (Followers: 10)
Business Strategy and the Environment     Hybrid Journal   (Followers: 10)
Challenges in Sustainability     Open Access   (Followers: 10)
Journal of Natural Resources Policy Research     Hybrid Journal   (Followers: 10)
African Journal of Wildlife Research     Full-text available via subscription   (Followers: 9)
Aquaculture, Aquarium, Conservation & Legislation - International Journal of the Bioflux Society     Open Access   (Followers: 9)
Ideas in Ecology and Evolution     Open Access   (Followers: 9)
Journal of Cultural Heritage Management and Sustainable Development     Hybrid Journal   (Followers: 8)
Earth's Future     Open Access   (Followers: 8)
International Journal of Global Energy Issues     Hybrid Journal   (Followers: 8)
International Journal of Sustainable Development and World Ecology     Hybrid Journal   (Followers: 8)
Journal of East African Natural History     Full-text available via subscription   (Followers: 7)
Natural Resources Forum     Hybrid Journal   (Followers: 7)
Advanced Sustainable Systems     Hybrid Journal   (Followers: 7)
Environmental and Sustainability Indicators     Open Access   (Followers: 7)
Human Dimensions of Wildlife: An International Journal     Hybrid Journal   (Followers: 6)
Natural Resources and Conservation     Open Access   (Followers: 6)
American Journal of Rural Development     Open Access   (Followers: 6)
International Journal of Architectural Heritage: Conservation, Analysis, and Restoration     Hybrid Journal   (Followers: 6)
International Journal of Biodiversity Science and Management     Open Access   (Followers: 6)
Journal of Urban Ecology     Open Access   (Followers: 6)
Environment and Planning E : Nature and Space     Hybrid Journal   (Followers: 5)
Journal of International Wildlife Law & Policy     Hybrid Journal   (Followers: 5)
Journal of Ecology and The Natural Environment     Open Access   (Followers: 5)
Ethnobiology and Conservation     Open Access   (Followers: 4)
Journal of the American Institute for Conservation     Hybrid Journal   (Followers: 4)
International Journal of Social Ecology and Sustainable Development     Full-text available via subscription   (Followers: 4)
Archeomatica     Open Access   (Followers: 4)
Environment Conservation Journal     Open Access   (Followers: 4)
Australasian Plant Conservation: Journal of the Australian Network for Plant Conservation     Full-text available via subscription   (Followers: 4)
AICCM Bulletin     Hybrid Journal   (Followers: 3)
Ecological Psychology     Hybrid Journal   (Followers: 3)
International Journal of Environment and Pollution     Hybrid Journal   (Followers: 3)
Journal of Sustainable Mining     Open Access   (Followers: 3)
Southern Forests : a Journal of Forest Science     Hybrid Journal   (Followers: 3)
Interdisciplinary Environmental Review     Hybrid Journal   (Followers: 3)
Neotropical Biology and Conservation     Open Access   (Followers: 2)
Journal of Paper Conservation     Hybrid Journal   (Followers: 2)
Asian Journal of Sustainability and Social Responsibility     Open Access   (Followers: 2)
Pacific Conservation Biology     Full-text available via subscription   (Followers: 2)
International Soil and Water Conservation Research     Open Access   (Followers: 2)
Sustainable Earth     Open Access   (Followers: 2)
Tanzania Journal of Forestry and Nature Conservation     Full-text available via subscription   (Followers: 2)
Madagascar Conservation & Development     Open Access   (Followers: 2)
Eastern European Countryside     Open Access   (Followers: 2)
Rural Sustainability Research     Open Access   (Followers: 2)
World Review of Entrepreneurship, Management and Sustainable Development     Hybrid Journal   (Followers: 1)
Conservation Science and Practice     Open Access   (Followers: 1)
Journal of Threatened Taxa     Open Access   (Followers: 1)
Rangeland Journal     Hybrid Journal   (Followers: 1)
Resources, Conservation & Recycling : X     Open Access   (Followers: 1)
Forum Journal     Full-text available via subscription   (Followers: 1)
Tropical Conservation Science     Open Access   (Followers: 1)
Conservación Vegetal     Open Access   (Followers: 1)
Park Watch     Full-text available via subscription   (Followers: 1)
Wildlife Australia     Full-text available via subscription   (Followers: 1)
European Countryside     Open Access   (Followers: 1)
In Situ. Revue des patrimoines     Open Access   (Followers: 1)
npj Urban Sustainability     Open Access  
Recursos Rurais     Open Access  
Madera y Bosques     Open Access  
Intervención     Open Access  
Soil Ecology Letters     Hybrid Journal  
Tropical Ecology     Hybrid Journal  
Socio-Ecological Practice Research     Hybrid Journal  
Process Integration and Optimization for Sustainability     Hybrid Journal  
Water Conservation Science and Engineering     Hybrid Journal  
Nepalese Journal of Development and Rural Studies     Open Access  
VITRUVIO : International Journal of Architectural Technology and Sustainability     Open Access  
Sustainable Environment Agricultural Science (SEAS)     Open Access  
Savana Cendana     Open Access  
Arcada : Revista de conservación del patrimonio cultural     Open Access  
Nusantara Bioscience     Open Access  
Indonesian Journal of Conservation     Open Access  
Indonesian Journal of Sustainability Accounting and Management     Open Access  
One Ecosystem     Open Access  
Revista de Direito e Sustentabilidade     Open Access  
Ambiens. Revista Iberoamericana Universitaria en Ambiente, Sociedad y Sustentabilidad     Open Access  
Revista Meio Ambiente e Sustentabilidade     Open Access  
Revista de Ciencias Ambientales     Open Access  
Recycling     Open Access  
Revista Memorare     Open Access  
Novos Cadernos NAEA     Open Access  
Julius-Kühn-Archiv     Open Access  
Future Anterior     Full-text available via subscription  
Regional Sustainability     Open Access  
Interações (Campo Grande)     Open Access  

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Similar Journals
Journal Cover
Process Integration and Optimization for Sustainability
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2509-4238 - ISSN (Online) 2509-4246
Published by Springer-Verlag Homepage  [2467 journals]
  • Manufacturing Sustainability Assessment Comprising Physical and Mental
           Workload: An Integrated Modified SVSM and AHP Approach

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      Abstract: Abstract Sustainable manufacturing is critical today because it incorporates economic, environmental, and social factors into the manufacturing process. This research proposes a new framework for assessing manufacturing sustainability, including physical and mental workloads. The analytical hierarchy process (AHP) method is proposed to determine the weight of the triple bottom line (TBL) indicator. Each TBL indicator is evaluated for efficiency before being integrated into the sustainable value stream mapping (VSM) and traffic light system (TLS). Time, quality, raw materials, energy, water consumption, mental workload, and physical workload are the seven indicators used in this study. The framework proposed is applied to a case study in the plastics industry. The results show that the proposed framework can solve industrial problems. The manufacturing sustainability score in this industry is 75.06%, indicating that the company has moderate performance and needs improvement. In addition, this study includes implications and recommendations.
      PubDate: 2022-12-05
       
  • Green-Resilient Supplier Selection and Order Allocation Under Disruption
           by Utilizing Conditional Value at Risk: Mixed Response Strategies

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      Abstract: Abstract Two important decisions in supply chains and logistics systems design are the supplier selection and order allocation (SS&OA) problem and the vehicle routing problem (VRP). Supply disruption may reduce the capacity of suppliers, and the transportation network disruption may decrease the number of vehicles in the fleet and disrupt some routes. Also, increasing environmental regulations and environmental awareness makes companies pay more attention to green supply chain management (GSCM). In this paper, we integrate green and resilient supplier selection and order allocation decisions with vehicle routing decisions under disruption. We present a multiproduct two-stage risk-averse mixed-integer stochastic linear programming for the green and resilient supplier selection and order allocation integrated with vehicle routing (G&RSS&OA-V) problem. We consider resilient strategies before disruption, including multiple sourcing, supplier fortification, prepositioned inventory at the protected supplier, and contract with third-party logistics providers (3PLs). The objective function is to minimize the total mean-risk cost and the cost of greenhouse emissions. We use conditional value at risk (CVaR) as a risk measure to control the risk of worst-case cost. The most significant decisions of this model are the strategic decisions of determining the optimal suppliers and the operational decisions of vehicles routing under disruption simultaneously. Other decisions include determining which suppliers should be fortified, the amount to be transported to the hybrid manufacturing-distribution (HMD) center through the supplier or prepositioned emergency inventory, and the amount of lost sales. In order to validate the proposed model and its features, several numerical examples along with sensitivity analysis are performed by GAMS software, which shows the efficiency and application of the developed model, and some managerial insights are reported. The results of the sensitivity analysis show that as α increases from 0.1 to 0.9, the mean-CVaR objective function cost increases to 13.2%. As λ increases from 0.1 to 0.9, the mean-CVaR objective function cost increases to 35.6%. The increase of these two risk factors makes the proposed model more risk-averse. As the expected shortage cost increases by 150%, the mean-CVaR objective function cost increases to 36% while the amount of expected shortage decreases by 56%.
      PubDate: 2022-12-02
       
  • Towards Sustainable Integration of STATCOM and DGs Based Radial
           Distribution Systems Using Dynamic Adaptive Aquila Optimizer

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      Abstract: Abstract This paper focuses on the application of a new metaheuristic method, namely, the Dynamic Aquila Optimizer Algorithm (DAAOA), to improve the performances of large radial distribution system (RDS). The proposed power management strategy aims to optimize the reactive and active power flow in the RDS by integrating and controlling multi-shunt compensators-based STATCOM devices and multi-distributed generation (DG) units. To relieve the major drawbacks of the standard AOA, a new variant namely DAAOA is proposed. The first modification introduced in the proposed variant is associated with the expanded exploration; however, the second modification introduced is related to narrowed exploitation by creating dynamic adjustment of the two coefficients (G1 and G2) using “sine” and “cosine” functions. The dynamic aspect of these two proposed modifications allows creating adequate diversity in the search space and improving the intensification process, this will led to improve greatly the convergence behavior of the standard algorithm and reduce the number of trials required in particular in solving large-scale problems. In the first scenario, the particularity of the proposed variant against the standard AOA and other recent methods has been validated on thirteen benchmark functions with unimodal and multimodal forms. In the second scenario, the proposed DAAOA has been validated on two electric test systems, 33-Bus and the large 85-Bus RDS. Firstly, and to reduce the size of the search space, two sensitivity indices are introduced to find the most suitable locations to integrate STATCOM devices and DGs. Secondly, the proposed DAAOA is applied to select the optimal locations and to optimize dynamically the reactive powers of multi STATCOM devices and the active power of DGs units to be exchanged with the RDS. Two objective functions such as the total power loss (TPL) and the loading margin (LM) are optimized. Achieved results compared to other recent techniques found in the recent literature prove the efficiency of the proposed DAAOA in solving large-scale optimization problems related to RDS.
      PubDate: 2022-11-30
       
  • Techno-economic Analysis of Hybrid Renewable Energy System for Healthcare
           Centre in Northwest Bangladesh

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      Abstract: Abstract Assessments for the techno-economic viability of the hybrid renewable energy system have been stimulated due to the frequent price hike and falls of fossil fuels, the derivatives generated during the burning of the fuels that are emitted into the environment, and the very high installation cost of the present day’s conventional photovoltaic energy system. This paper reports on the techno-economic performance assessments of a hybrid renewable energy system for a rural healthcare center in Bangladesh. These healthcare centers are essential for the residents of rural areas in Bangladesh. In this regard, a microgrid solar hybrid photovoltaic system has been designed to power a healthcare center in Gangachara Upazila (sub-district), Rangpur district, a northwest region in Bangladesh. The rooftop PV system comprises 400 Wp solar panels, a 25 kW bi-directional inverter, a 28 kW generator, connecting wires, a mounting system, and related accessories. In this assessment, state-of-the-art PV design software, HOMER Powering Health Tool, has been utilized for estimating the load requirements and for techno-economic and environmental evaluation of the microgrid system. The load analysis revealed that a 32 kW grid–connected solar PV system was required for the selected healthcare and the estimated net present cost was US$ 33,818, with a levelized cost of energy was US$ 0.022.
      PubDate: 2022-11-24
       
  • Performance Improvement and Optimisation Using Response Surface
           Methodology (Central Composite Design) of Solar Photovoltaic Module with
           Reflector and Automatic Water Cooling

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      Abstract: Abstract The goal of this work is to use concentration of sunlight and automatic cooling to increase the photovoltaic module’s performance. Four identical solar photovoltaic modules have been taken for experiments: natural cooling of solar photovoltaic module (model 1), automatic water cooling of solar photovoltaic module (model 2), solar photovoltaic module with mirror reflectors (model 3) and solar photovoltaic module with mirror reflectors and automatic water-cooling system (model 4). The experiments were performed in the month of April, 2022, at Azamgarh, Uttar Pradesh, India. Hourly power output of 9.9 W from model 4 is found maximum and it is 11.24%, 7.6% and 6.5% higher than model 1, model 2 and model 3 respectively. Daily average electrical conversion efficiency for model 1, model 2, model 3 and model 4 was found to be 11.16%, 12.28%, 11.96% and 13.3% respectively. Model 4 has been found to be best model and is optimised using response surface methodology (central composite design) by taking solar radiation and cooling water flow rate as input variables and power output as response variable. Optimised conditions are found to be 878 W/m2 solar radiation and 2.09 L/min of cooling water flow rate. Moreover, economic analysis of all the models shows that the cost per kilowatt-hour of power output decreased by 8.76% and 9.52% for model 3 and model 4, respectively, in comparison to model 1.
      PubDate: 2022-11-18
       
  • Green Intermodal Transportation and Effluent Treatment Systems:
           

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      Abstract: Abstract The operation of wastewater treatment facilities results in the direct emissions of greenhouse gases such as carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) from biological activities, which contributes to global warming. One of the objectives of this research is to investigate the issue of reducing greenhouse gas emissions during the effluent treatment process of the papermaking processes. It is also the goal of this research to minimise the cost of road and intermodal freight transportation and the greenhouse gas emissions associated with transportation. The real-world data is collected from one of Pakistan’s largest paper and board industries. Mixed integer linear programming has been used to formulate the multi-objective problem of minimising cost and greenhouse gas emissions. Using a genetic algorithm, the problem is addressed, and Pareto optimality solutions are presented to assist decision-makers in selecting the most cost-effective and environmentally friendly solutions. Intermodal freight transportation is found to be 81.1% less expensive than road, and it is also 51.1% more environmentally friendly. According to the findings of the effluent treatment study, during the manufacturing of 240,000 tons of paper and board and 210 million corrugated boxes, 3.31 tons of CO2e is emitted into the atmosphere during the water treatment process. However, looking into the emissions produced by different paper manufacturing processes, such as pulping, coating and printing, could help to understand the effect of manufacturing on global warming.
      PubDate: 2022-11-17
       
  • A Forecasting Study for Renewable Energy Resources Investments in Turkey:
           TOPSIS-Based Linear Programming Model

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      Abstract: Abstract In this paper, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)–based linear programming (LP) approach is developed for determining optimal quantities of renewable energy sources according to the source’s potential compared with other renewable energy alternatives. A combined model is established with the forecasting model, TOPSIS, and LP methods to determine optimal results. The developed decision support approach’s applicability is illustrated in this paper. The paper illustrates how renewable energy sources can be preferred to meet additional energy demand in the next five years in Turkey using the developed TOPSIS integrated LP model. For this objective, a time series analysis is applied to estimate production capacity for the constraints of the mathematical model. Then, a question is answered how much energy should be produced from which alternative for each year' A flexible structured mathematical model is developed to meet the necessary energy requirements in dynamic and variable economic systems. So, the decision-maker can assign different criteria weights in the TOPSIS model, which is integrated with LP, and obtain new optimal solutions related to requirements in the future.
      PubDate: 2022-11-16
       
  • Efficient Maximum Power Point Tracking Algorithms for Photovoltaic Systems
           with Reduced Number of Sensors

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      Abstract: Abstract The low conversion efficiency of the PV system which is caused due to nonlinear variation of PV output with external weather conditions like solar irradiation and temperature can be overcome by a maximum power point tracker (MPPT). Perturb and observe (P&O) is widely used and efficient algorithm among all MPPT algorithms. But, when the irradiation increases abruptly and rapidly, the P&O algorithm that confuses between the increased powers is because of previously provided perturbation or because of irradiation change. So the operating point in the following iteration takes the wrong direction which is shifted away from MPP (called “drift phenomenon”). A modification to the P&O algorithm which is specifically drift-free is suggested and simulated in this paper. However, the implementation of P&O algorithm necessitates the use of two sensors which are voltage sensor and current sensor. The use of two sensors causes power loss which reduces the conversion efficiency and also isolated current sensors are costly. As a result, an MPPT method that relies solely on voltage sensing shows better efficiency, i.e., 98.01% among all MPPT algorithm when it comes to power loss and affordability. For a boost converter, a single-voltage sensor-dependent MPPT technique with a constant step size is suggested and simulated. This paper presents the mathematical validation and simulation of both constant and variable step size (adaptive) output sensor–dependent (Vo) MPPT and constant and variable step size (adaptive) input sensor–dependent (VPV) MPPT and also presents the experimental validations for input a single-voltage sensor-dependent MPPT technique with a 103-Wp PV panel.
      PubDate: 2022-11-07
       
  • Aspen Plus Simulation of Biomass Gasification: a Comprehensive Model
           Incorporating Reaction Kinetics, Hydrodynamics and Tar Production

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      Abstract: Abstract Energy generation from biomass through gasification has been a keen area of research for a long time. However, gasification still needs to overcome a significant number of challenges for its wider acceptability. Even though experimental works on lab-scale biomass gasifiers are available, computational modelling and simulations are crucial in predicting the system performance. Process simulation and analysis of fluidized bed gasification using Aspen Plus software are considered in this study. Among the three Aspen Plus models developed in the present study, model 1 and model 2 are developed based on equilibrium and kinetic approach, respectively. In addition to this, reaction kinetics, gasifier geometry and bed hydrodynamics are considered in model 3. The model-predicted values are then validated against experimental data. Minimum values of mean error, root mean square error, mean absolute error and mean absolute percentage error, are observed for model 3. As model 3 realistically represents the gasification process, the impact of gasification temperature and equivalence ratio on the product gas composition, lower heating value, cold gas efficiency and carbon conversion efficiency are systematically studied using this model. The model is simulated at temperatures ranging from 680 to 800 °C and equivalence ratio of 0.24–0.32. The simulation results indicated that higher operating temperature and lower equivalence ratio enhanced the gasification process. Benzene is identified as the primary component of tar with a composition of 9.79 g/kgbiom.
      PubDate: 2022-11-05
       
  • Systematic Framework for CO2 Transport Design of CCS System in the
           Archipelagic State

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      Abstract: Abstract In the carbon capture and storage system, carbon dioxide transport plays an essential role in connecting the source and sink points. A series of design stages should be developed to obtain a feasible transport design from an economic perspective. This paper presents a systematic framework for feasible CO2 transport design. The framework combines various methods and procedures in an integrated manner. The framework consists of two stages. The first stage involves task and system boundary identification, design, and evaluation of the carbon capture and storage (CCS) network. Three design schemes with overall, regional, and pseudo-regional approaches are used to generate the CCS network. The second stage involves designing CO2 transport in a CCS network with different transport technologies and evaluating all identified transport designs in terms of technical feasibility and economics. Two transport design scenarios are used in this stage, standalone design and shared facilities design. The framework is implemented for the CCS system candidate in the central and eastern parts of Indonesia. The specific cost is used to select the most effective transport designs. The results show that the framework is applicable for the CCS system with many sources and sinks separated in different regions. In such cases, offshore pipelines are not feasible to be applied because the CO2 transport volume is relatively small and the high-pressure drop. The most effective transport design can be achieved by the regional scheme in which CO2 transport is restricted only in the same regions.
      PubDate: 2022-11-03
       
  • On the Role of Material Balances in the Synthesis of Overall Process
           Control Systems

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      Abstract: Abstract The synthesis of control systems for overall processes remains a challenge. Whilst a number of automated approaches have been explored academically, in practice systems are mainly synthesised using experience and intuition in conjunction with dynamic simulation software. An approach is presented in this paper for the systematic synthesis of overall process control systems which is simple, practical and appropriate for use at the undergraduate teaching level. Many potential problems can be identified and avoided in the synthesis of process control systems by ensuring that the control system can maintain a steady-state control of the overall mass, the mass of the individual components and, where necessary, multiple phases. Processes with recycles are vulnerable to process control problems when the overall mass balance of the system containing the recycle is not correctly managed. This can be overcome by self-regulation (perhaps involving process design changes) or by changing the structure of the control system. Achieving and maintaining the material balance are the main purposes of the majority of controllers in most chemical processes. Without robust delivery of material balance control, higher level control objectives (such as quality controls) are unlikely to be met reliably. This paper presents a step-wise approach to the synthesis of overall process control systems that avoids many potential problems by identifying which process parameters can be manipulated to achieve the intended process mass balance and designing the control structure accordingly.
      PubDate: 2022-10-20
       
  • Analysing a GSCM Enabler–Based Model for Implementation of Its
           Practices: a Pythagorean Fuzzy AHP and CoCoSo Approach

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      Abstract: Abstract Green supply chain management (GSCM) helps to improve the organizational performance and introduces environmental thinking into supply chain management. It is critical to comprehend the factors that promote GSCM acceptance. Hence, the research aims to develop and analyse a GSCM enabler–based model for implementation of its practices. A hybrid model based on Pythagorean fuzzy analytic hierarchy process (PFAHP) and Pythagorean fuzzy combined compromise solution (PFCoCoSo) is developed to study the influence of GSCM enablers on selected GSCM practices. The selected GSCM enablers are analysed, and its weights are determined using PFAHP. Using the GSCM enablers’ weights, GSCM practices are analysed using the PFCoCoSo method. This study identifies thirty-four GSCM enablers and twenty GSCM practices with rigorous literature review and discussion with selected experts. Environmental and legislation enablers (ELEs) and strategic managerial enablers (SMEs) are at the top among all GSCM enablers. The best practice to start GSCM is internal environmental management followed by formulating green policy and providing green training. The suggested model will assist industry practitioners in efficiently implementing GSCM practices taking help of GSCM enablers. The practitioners can focus on higher weight enablers to implement first. The ranking of GSCM practices helps the practitioners to develop the action plan in the initial phase of greening the current supply chain. This results in the reduction of failure chances and enhances the chance of successful GSCM adoption.
      PubDate: 2022-10-20
       
  • Simultaneous Optimization of Mass Exchanger Networks and Direct
           Reuse/Recycle Networks

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      Abstract: Abstract In the past two decades, various process integration methods have been proposed for the optimum synthesis of resource conservation networks, for the recovery of energy and material resources such as water, gas, and solvent. In this paper, a mathematical programming framework is proposed for simultaneous optimization of mass exchanger networks (MENs) and direct reuse/recycle networks (DRNs). Both MEN and DRN synthesis are now relatively established fields with numerous methods developed. Note however that there is a lack of work that considers both areas simultaneously. The newly proposed simultaneous optimization method in this work identifies opportunity for a DRN that allows the material waste to be recycled within the MEN, which is the main novelty of this work. The approach is demonstrated with a vinyl acetate monomer production problem. The latter consists of several mass exchange operations, in which an MEN is synthesized. Opportunity to develop an DRN is also identified, which allows its waste to be recycled without regeneration. Another novelty of the work is that, the supply and target compositions in the MEN problem are expressed in terms of mass ratios as the compositions are relatively large. Results show that the integrated network has a total annualized cost that is reduced by 24.9% as compared to the base case configuration, where both networks were solved independently. This shows the importance of considering entire process systems during process synthesis, as opposed to subsystems independently.
      PubDate: 2022-10-17
       
  • A New Chemical Engineering Curriculum for a New South Africa: Assessing
           the Impact of Duncan Fraser’s Three Decades of Educational Research and
           Reform

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      Abstract: Abstract Engineering education research is a relatively new field focused on improving engineering education to support the success of a broader range of students and be more relevant to the needs of contemporary society. In this article, we look closely at the impact of a pioneer in this field, the late Professor Duncan McKenzie Fraser, who began a focused and scholarly programme of work during late apartheid in South Africa, looking closely at the challenges experienced by chemical engineering students at the University of Cape Town (UCT), where he worked. We analyse Duncan’s early experiments in improving teaching and curriculum which led into a recognized body of engineering education research. These research findings informed a programme of curriculum reform at UCT, the first phase of which involved the creation of some new courses and the modification of parts of the curriculum, and the second phase of which involved a full-scale reform of the entire curriculum. The analysis shows how engineering education research was used to inform innovative curriculum design that was closely attuned to contextual needs, specifically regarding stark racial disparities in student success, and also evolved later to embody a focus on sustainable development. Overall, there are significant lessons for the growing field of engineering education, which continues to grapple with the disjoint between research and improved practice—crucially showing the need for long term engagement, as exemplified in this programme of work which spanned over three decades.
      PubDate: 2022-10-08
       
  • A Decision-making Framework to Evaluate and Select Optimal Biomass
           Gasification Plant Size for Sustainable Regional Bioenergy Development

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      Abstract: Abstract The biomass gasification plant size selection for energy generation is a strategic decision, which plays an important role in the uninterrupted, environmentally friendly, economic operation of the plant and the development of sustainable bioenergy in the region. It would also help to meet climate change mitigation plans, energy security objectives, and sustainable development goals (SDGs). Therefore, the present work concentrates on the selection of the optimal biomass gasification plant size for the region through sustainable development indicators, i.e., technical, economic, environmental, and social, to utilize the locally available biomass resources for energy generation. This paper proposes a modified Delphi-MCDM-based framework for the assessment and selection of the optimal gasification plant size for the region. The AHP method has been adopted for calculating weights of criteria, sub-criteria, and alternatives. Furthermore, MCDM techniques are used to select the optimal plant size.
      PubDate: 2022-10-07
       
  • An Optimal Integrated Inventory Approach for Vendor–Buyer with
           Substitutable Deteriorating Product Under Joint Replenishment and Carbon
           Emission

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      Abstract: Abstract With rapidly growing businesses, organizations are interested in performing well, not just economically but also ecologically. This study develops an integrated joint approach model for vendor–buyer with substitutable deteriorating products under a joint ordering policy. In this study, two mutually substitutable products are taken, and the process of substitution is assumed at buyer end. The carbon emission due to holding and deterioration of products are considered. Both the cases with and without substitution are discussed. This paper aims to determine the optimal production quantity, frequency of deliveries, lot size, and ordering quantity to optimize the total integrated cost with carbon emissions. The demand, production, and deterioration rate are deterministic and fixed. The solution methodology is developed to obtain the optimal production quantities and lot sizes. A numerical example is presented to demonstrate the validation of the model. Sensitivity analysis and managerial insights are provided to represent the validity of the integrated approach. A comparative analysis has been done between with-substitution and without substitution cases. The results show a considerable reduction in overall cost in the case of with-substitution. The limitation of the model is that it involves only two products and single vendor–buyer.
      PubDate: 2022-10-05
       
  • A Linear Programming Methodology to Optimize Decision-Making for
           Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative
           Capital

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      Abstract: Abstract Egypt has started constructing its New Administrative Capital since 2015. The new capital was designed to meet smart city standards, which presents a challenge for businesses to make the optimum business decisions given the set budget for such a project. As a result, reaching the optimum solution for allocating the needed materials to each building became important. Many researchers have considered the theory of constraints in their studies to determine the optimum product mix. Frequently, research considers the target of profit maximization to reach the optimum solution with one scenario. In this paper, we aim to solve the problem of product mix in cement production, which organizations face. The problem was formulated based on a case study in Egypt with two linear programming approaches. For this problem, many scenarios were presented under the consideration of two aspects, which are resource utilization and productivity. Data visualization was used in this paper to simplify the procedure of decision-making. Also, a dashboard web application was made for the decision makers to make it easier to create, analyze, and see different business scenarios.
      PubDate: 2022-09-19
      DOI: 10.1007/s41660-022-00282-y
       
  • A Sustainable Retrofit of an Industrial Heat Exchanger Network — A Case
           Study of a Gas Separation Plant in Thailand (HEN Retrofit on GSP)

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      Abstract: In this challenging work, sustainable heat integration using an industrial heat exchanger network (HEN) retrofit method by Angsutorn et al. (Chem Eng Sci 229:116005, 2021) was considered as a method for recovering waste energy to save heating and cooling utility costs of the gas separation plant Unit 5 (GSP5), a unit of the largest natural-gas separation company in Thailand. A high-energy-efficiency plant with a small heat recovery approach temperature (HRAT) of 7.5 °C, GSP5 is focused on the energy-efficiency improvement policy of the company. Our retrofit method consists of two nonlinear programming (NLP) optimization steps with the most practical retrofit concepts; installation of new heat exchanger units along with full utilization of all existing process heat exchangers without heat-transfer area modification and exchanger relocation. The retrofit design was generated at HRAT of 5.2 °C with a net present value (NPV) of $ 27,282,123 for a project life time of 20 years. Graphical
      PubDate: 2022-09-17
      DOI: 10.1007/s41660-022-00280-0
       
  • Ranking Green Universities from MCDM Perspective: MABAC with Gini
           Coefficient-based Weighting Method

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      Abstract: Abstract The concept of the green university has emerged due to concerns about sustainable development and the use of natural resources. Various organizations rank green or non-green universities under several criteria. The results obtained in these rankings make it possible to compare the performances of similar universities. In this study, we aim to look at the ranking of green universities from the perspective of multi-criteria decision-making. For this purpose, according to the UI GreenMetric 2021 report, 35 green universities in Europe are ranked using the multi-attributive border approximation area comparison method with Gini coefficient-based weighting method. As a result of the weight calculation with the Gini coefficient-based weighting method, it is found out that the setting and infrastructure criterion is the most important criterion, whereas the least important criterion is waste. The performance scores of green universities are obtained by using the calculated criteria weights and the Multi-Attributive Border Approximation area Comparison method. Consequently, the correlation between the original ranking and the ranking obtained by the proposed methodology used in this study has been found as 0.8151. These results show that multi-criteria decision-making methods can be used to rank green universities. As a result of the findings obtained in this study, underperformed universities in the ranking may find the opportunity to compare themselves with similar green universities. Furthermore, non-green universities may be motivated to implement green policies.
      PubDate: 2022-09-13
      DOI: 10.1007/s41660-022-00281-z
       
  • Analyzing the Application of the Sustainable Development Goals for Egypt
           Using a Neutrosophic Goal Programming Approach

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      Abstract: Abstract Sustainable development necessitates the implementation of appropriate policies that integrate multiple competing objectives on economic, environmental, energy, and social criteria. Multi-criteria decision analysis with goal programming is a popular and widely used technique for studying decision problems with multiple competing objectives. Real-world situations frequently involve imprecise and incomplete information, making neutrosophic goal programming models the most appealing option. We presented a novel neutrosophic goal programming model that incorporates optimal resource allocation to simultaneously satisfy prospective goals on economic development, energy consumption, workforce, and greenhouse gas emission reduction by 2030, as applied to Egypt’s key economic sectors in this paper. We also compared the outcomes of fuzzy goal programming and neutrosophic goal programming. We show that neutrosophic goal programming approach is more accurate than fuzzy goal programming approach because it deals with incomplete and indeterminate information and has three independent degrees: truth membership degree, indeterminacy–membership degree, and falsity–membership degree. The presented model examines opportunities for improvement and the effort required to implement sustainable development plans. The model also provides valuable insights to decision makers for strategic planning as well as investment allocations for sustainable development. Numerical illustration is also provided for validation and application of the proposed model.
      PubDate: 2022-09-03
      DOI: 10.1007/s41660-022-00265-z
       
 
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