Sustainability Analytics and Modeling最新文献

{"title":"A Methodology for Multi-criteria Assessment of Chiller Plants for Building Setup Utilising Waste Heat and Solar Energy","authors":"Bhupendra Kumar Bhatt ,&nbsp;Wasim Akram ,&nbsp;Osama Khan ,&nbsp;Mohd Parvez ,&nbsp;Shadab Ahmad","doi":"10.1016/j.samod.2023.100022","DOIUrl":"https://doi.org/10.1016/j.samod.2023.100022","url":null,"abstract":"<div><p>Incorporating a central chilled water hub within an eco-industrial park may boost cost-cutting and carbon reductions. Yet, there are various ways to power it, each with its own set of advantages and disadvantages in respect of cost, environmental impact, and technological feasibility. Consequently, it might be challenging to negotiate a settlement with other members in an eco-industrial park because of their conflicting interests. A multi-criteria optimization method is used in this study to compare several centralized chiller systems that are powered by varying compositions of energy forms, to reduce total yearly expenditures for the whole complete building setup. An electric-driven chiller, multi-effect absorption chillers with several effects, and adsorption chillers are installed in the centrally located chilled water system. These components were chosen so that the system could use a wide range of fuels, such as electricity, fossil fuels, chillers, and even solar energy. Afterwards, the TOPSIS is employed to do a multiple criterion ranking on all plans, relying not only on the interests of the building but also on the priorities of individual chiller plants. The conceptual approach assures that cost reduction and user comfort are considered throughout the development of a chilled water system for the building setup. Among the nine criterions selected for the study, The weightage calculated were as follows: Actual capacity- 18%, Total Input power-13%, Speed of Compressor- 5%, EER- 13%, Running current -6%, Max Starting current-6%, Flow rate- 6%, Input power- 19% and Operating Weight- 14%. While ranking chillers AC Screw 355 TR VFD achieved highest performance score of 0.54 followed by AC Screw 355 TR STAR-DELTA with a performance score of 0.51. The novel study will aid the building owners in selecting the best design for chillers while maintaining a sustainable aspect in chillers which is important in building to attain green structure model.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"3 ","pages":"Article 100022"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49710347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transportation resilience optimization from an economic perspective at the pre-event stage","authors":"Tingting Zhang,&nbsp;Chence Niu,&nbsp;Divya Jayakumar Nair,&nbsp;Edward N. Robson,&nbsp;Vinayak Dixit","doi":"10.1016/j.samod.2023.100027","DOIUrl":"https://doi.org/10.1016/j.samod.2023.100027","url":null,"abstract":"<div><p>Since disruptive events can cause negative impacts on a city's regular traffic order and economic activities, it is crucial that a transport network is resilient against disaster to prevent significant economic losses and ensure regular social, economic, and traffic order. However, using the transport metric for resilience improvement can only provide a limited view of transport pre-investments. This study develops an optimization framework to tackle the problem of resilient road pre-investment with the aim of resilience enhancement of traffic systems from an economic perspective by applying the integrated computable general equilibrium (CGE) model. First, we use the Shapley value, which considers road links’ interact cooperation, to determine critical candidate links that need to be upgraded. Second, we propose the Economic-based Network Resilience Measure (ENRM) as a performance indicator to evaluate network-level resilience from the economic perspective. Third, a bi-level multi-objective optimization model is formulated to identify the optimal capacity improvement for candidate critical links, where the objectives of the upper-level model are to minimize the ENRM and pre-enhancement budget. The lower-level model is built on the integrated CGE model. The genetic algorithm approach is used to solve the proposed bi-level model. A case study of the optimization framework is presented using a simplified Sydney network. Results suggest that a higher budget can help promote people's social welfare and improve transportation resilience. However, the Pareto-optimality is observed, and the marginal utility decreases with an increase in the investment budget. Further, the results also show that investment returns are higher in severe disasters. This study will help transport planners and practitioners optimize resilience pre-event investment strategies by capturing a wider range of project impacts and evaluating their economic impacts under general equilibrium rather than partial economic equilibrium, which is often assumed in traditional four-step transport planning.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"3 ","pages":"Article 100027"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49710325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic facade control systems for optimal daylighting, a case of Kerala","authors":"Govind Dev,&nbsp;Aysha Saifudeen","doi":"10.1016/j.samod.2023.100018","DOIUrl":"https://doi.org/10.1016/j.samod.2023.100018","url":null,"abstract":"<div><p>Natural daylighting of the building interiors contributes to better environmental quality and reduced energy consumption. Buildings in the tropical region require direct cut-off from irradiance to control internal thermal gain. More extensive fenestration may contribute towards more internal thermal gain because of an improper form of facade or shading systems, which may further contribute to the need for more cooling load in air conditioning. The commercial building sector consumes more energy due to the significance of aesthetics for interiors using artificial lighting techniques, especially during daytimes, and air conditioning due to increased thermal gains. This research intends to explore three basic types of dynamic facade systems, including folding, sliding and rotating types. The study is inclusive of the functional parameters, design and working mechanism of the selected systems, their impact on the illuminance and daylight factor, in the selected commercial building in Changanassery, Kerala, India. The authors calculated various angles of the selected location such as Solar Azimuth, Altitude, Horizontal Shadow Angle (HSA) and Vertical Shadow Angle (VSA), for further analysis. The tools used to do Building Information Modelling (BIM) of the prototype building, simulations of illuminance and daylight factor are Autodesk Revit, Autodesk Insight and Velux daylight visualizer respectively. The study concludes that the folding type of facade system is the most efficient type of dynamic facade system specific to the accurate prototype building location to ensure optimal daylighting while eliminating the undesirable effects of solar radiation.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"3 ","pages":"Article 100018"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling the barriers to sustainable waste management in the plastic-manufacturing industry: An emerging economy perspective","authors":"Binoy Debnath ,&nbsp;A. B. M. Mainul Bari ,&nbsp;Syed Mithun Ali ,&nbsp;Tazim Ahmed ,&nbsp;Irfan Ali ,&nbsp;Golam Kabir","doi":"10.1016/j.samod.2023.100017","DOIUrl":"https://doi.org/10.1016/j.samod.2023.100017","url":null,"abstract":"<div><p>Sustainable waste management (SWM) is an important goal for the plastic manufacturing industry, which is aiming toward enhancing its economic, environmental, and social sustainability in recent years. However, plastic manufacturing industries in developing countries like Bangladesh are yet to establish efficient SWM systems despite the amount of solid plastic waste continually rising across all sectors. This paper investigates the underexplored barriers to implementing SWM in the Bangladeshi plastic industry. First, it employs the Delphi method to identify the 16 most relevant barriers to SWM through a literature review and expert feedback. Then, using an integrated grey theory and decision-making trial and evaluation laboratory (DEMATEL) method-based framework, it evaluates these 16 barriers to examine their interrelationships in the context of emerging economies. The findings show that the five most significant barriers are as follows: lack of awareness of and knowledge about plastic waste disposal, lack of compliant waste management, lack of a sense of environmental responsibility on the part of manufacturers, lack of systematic waste collection and effective dumping-ground utilization and lack of proper environmental policies, legislations, and regulations. This study presents valuable insights that can deeply contribute to the literature on SWM, enabling scholars, policymakers, and industrial managers to practice sustainability more effectively in the plastic manufacturing industry.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"3 ","pages":"Article 100017"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minimizing food waste in grocery store operations: Literature review and research agenda","authors":"Lena Riesenegger ,&nbsp;Maria João Santos ,&nbsp;Manuel Ostermeier ,&nbsp;Sara Martins ,&nbsp;Pedro Amorim ,&nbsp;Alexander Hübner","doi":"10.1016/j.samod.2023.100023","DOIUrl":"https://doi.org/10.1016/j.samod.2023.100023","url":null,"abstract":"<div><p>Research on grocery waste in food retailing has recently attracted particular interest. Investigations in this area are relevant to address the problems of wasted resources and ethical concerns, as well as economic aspects from the retailer’s perspective. Reasons for food waste in retail are already well-studied empirically, and based on this, proposals for reduction are discussed. However, comprehensive approaches for preventing food waste in store operations using analytics and modeling methods are scarce. No work has yet systematized related research in this domain. As a result, there is neither any up-to-date literature review nor any agenda for future research. We contribute with the first structured literature review of analytics and modeling methods dealing with food waste prevention in retail store operations. This work identifies cross-cutting store-related planning areas to mitigate food waste, namely (1) assortment and shelf space planning, (2) replenishment policies, and (3) dynamic pricing policies. We introduce a common classification scheme of literature with regard to the depth of food waste integration and the characteristics of these planning problems. This builds our foundation to review analytics and modeling approaches. Current literature considers food waste mainly as a side effect in costing and often ignores product age dependent demand by customers. Furthermore, approaches are not integrated across planning areas. Future lines of research point to the most promising open questions in this field.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"3 ","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A three-layer supply chain integrated production-inventory model with idle cost and batch shipment policy","authors":"S. Khanra, S.K. Ghosh, C. Pathak","doi":"10.1016/j.samod.2022.100011","DOIUrl":"https://doi.org/10.1016/j.samod.2022.100011","url":null,"abstract":"","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77006554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scheduling in a flexible flow shop with unrelated parallel machines and machine-dependent process stages: trade-off between Makespan and production costs","authors":"A. Hasani, Seyed Mohammad Hassan Hosseini, S. Sana","doi":"10.1016/j.samod.2022.100010","DOIUrl":"https://doi.org/10.1016/j.samod.2022.100010","url":null,"abstract":"","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75355835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying Probabilistic Mathematical Modeling Approach and AI Technique to Investigate Serious Train Accidents in Japan","authors":"T. Oyama, M. Miwa","doi":"10.1016/j.samod.2022.100005","DOIUrl":"https://doi.org/10.1016/j.samod.2022.100005","url":null,"abstract":"","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"114 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79399905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sale through dual channel retailing system- a mathematical approach","authors":"S. Sana","doi":"10.1016/j.samod.2022.100008","DOIUrl":"https://doi.org/10.1016/j.samod.2022.100008","url":null,"abstract":"","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84930838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On Logit and Artificial Neural Networks in Corporate Distress Modelling for Zimbabwe Listed Corporates","authors":"Louisa Muparuri, Victor Gumbo","doi":"10.1016/j.samod.2022.100006","DOIUrl":"https://doi.org/10.1016/j.samod.2022.100006","url":null,"abstract":"","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"205 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91450259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}