Miami-Dade County implemented a series of water conservation programs, which included rebate/exchange incentives to encourage the use of high efficiency aerators (AR), showerheads (SH), toilets (HET) and clothes washers (HEW), to respond to the environmental sustainability issue in urban areas. This study first used panel data analysis of water consumption to evaluate the performance and actual water savings of individual programs. Integrated water demand model has also been developed for incorporating property’s physical characteristics into the water consumption profiles. Life cycle assessment (with emphasis on end-use stage in water system) of water intense appliances was conducted to determine the environmental impacts brought by each practice. Approximately 6 to 10 % of water has been saved in the first and second year of implementation of high efficiency appliances, and with continuing savings in the third and fourth years. Water savings (gallons per household per day) for water efficiency appliances were observed at 28 (11.1%) for SH, 34.7 (13.3%) for HET, and 39.7 (14.5%) for HEW. Furthermore, the estimated contributions of high efficiency appliances for reducing water demand in the integrated water demand model were between 5 and 19% (highest in the AR program). Results indicated that adoption of more than one type of water efficiency appliance could significantly reduce residential water demand. For the sustainable water management strategies, the appropriate water conservation rate was projected to be 1 to 2 million gallons per day (MGD) through 2030. With 2 MGD of water savings, the estimated per capita water use (GPCD) could be reduced from approximately 140 to 122 GPCD. Additional efforts are needed to reduce the water demand to US EPA’s “Water Sense” conservation levels of 70 GPCD by 2030. Life cycle assessment results showed that environmental impacts (water and energy demands and greenhouse gas emissions) from end-use and demand phases are most significant within the water system, particularly due to water heating (73% for clothes washer and 93% for showerhead). Estimations of optimal lifespan for appliances (8 to 21 years) implied that earlier replacement with efficiency models is encouraged in order to minimize the environmental impacts brought by current practice.

The recent revival of urban living in the UK has been stimulated by many different factors, including life style choices and government policies. This has led to a rapid increase in the number of apartments in the UK cities. This increased density living has also brought about various changes in the city infrastructure, including the way energy is supplied to residential buildings. The recent trend of ‘electrification of heat’ represents one of these changes, whereby electricity rather than natural gas is now typically being used for space and water heating as well as for cooking. Further growth in electricity demand has been predicted in the governments Carbon Plan with the increased use of all-electric systems including heat pumps for domestic heat. This will in turn impact the environment since electricity supplied in the UK is predominantly based on fossil fuels and contributes to significant greenhouse gas (GHG) and other emissions. However, greater penetration of renewable sources in the future would be expected to reduce GHGs. This would also help to improve the security of supply through diversification of energy sources. On the other hand, there are concerns that increasing reliance on electricity could lead to fuel poverty for a greater section of society. Thus, it is not immediately clear whether the change from gas to electricity would contribute to the sustainability or otherwise of energy supply in the UK residential sector. Therefore, this research has set out to understand better the implications of the electrification of heat in the urban residential sector by examining the trade-offs between environmental impacts, techno-economic costs and social aspects. This work therefore goes beyond the previous research that has typically focused solely on GHG emissions and energy pay-back times of different energy options. This is also the first time as far as the author is aware that the sustainability of the electrification of heat in cities are analysed in depth. Various tools have been used for these purposes, including life cycle assessment (LCA), indoor air quality monitoring (IAQ), life cycle costing (LCC), social surveys (SS), scenario analysis (SA) and multi-criteria decision analysis (MCDA).Assuming all sustainability aspects considered here to be equally important, the most sustainable option is the district heating system. All-electric heat-providing systems (electric panel, electric storage, and air source heat pumps) have on average 2.5 times higher environmental impacts than gas-based systems (individual gas boiler, solar thermal and gas, district heating and community CHP systems). The techno-economic costs of all-electric systems are 80% that of the district heating system – however, fuel cost and demand changes increase substantially all-electric system cost vulnerability. Gas-based systems are widely accepted and valued - all-electric systems while a ‘good fit’ for particular city homes - have greater social impacts including affordability. If the proposed decarbonisation of electricity generation is realised, the global warming potential from electric heat-providing systems could be reduced to a 1/10th of present emission levels by 2050 increasing electrification of heat sustainability. Therefore, the choice of the most sustainable heat-providing options in the future, including that of the ‘electrification of heat’, will depend on the extent of the decarbonisation of the UK electricity supply and the relative importance placed on sustainability impacts by different stakeholders.

<p>NR 20140805</p>

The building sector is a major contributor to theenvironmental loads generated by the society. The recognitionof this fact by the sector and a general strive toward asustainable society have lead to afocus on different toolsthat can be used to enhance the environmental performance ofthe sector and the society. Life Cycle Assessment (LCA) is oneof these tools. The LCA methodology was initially developed forassessments of short-lived consumer products. The increasinginterest in using the LCA methodology in the context of thebuilding sector has initiated a development of the methodologyto be able to consider the specific characteristics andconsiderations of the building sector. These are specific forthe building sector, but not always unique. Examples ofcharacteristics and considerations are: that each building isunique, the functional output is not always a physical productbut rather a service, the long service lives of buildings.These have implications on several elements in the LCAmethodology. The influenced elements that are dealt with inthis thesis are in particular the modeling of the system, thefunctional unit, boundary setting, life cycle scenarios,scenarios and inventory of the usage phase and allocationprocedures. Buildings and constructions are commonly not static systems.The systems are rather dynamic in the sense that the systemwill provide different services based on the same physicalstructure during its service life. To be able to model thedynamic system sequential life cycle thinking is introduced anda list of topics is derived. The list of topics is a structuredpresentation of issues that are of interest in the pursuit of aflexible LCA methodology. The goal is to find out if amethodological approach is suitable for modeling dynamicsystems with a functional unit that is based on the providedservice rather than the physical building. Boundary setting, life cycle scenarios, allocationprocedures, predicted service life and the modelling of theusage phase are all elements of the LCA methodology that havean potential to influence the result of an LCA in a significantway. The magnitude of the potential influence has beenmonitored based on the results of three case studies, whichhave been elaborated further to be able to estimate themagnitude of the potential influence. There is a multitude of available allocation procedurespresented and used in different contexts. The procedures aredeveloped based on different considerations and with differentintended applications. Two alternative allocation proceduresare presented in this thesis. The first is a proceduredeveloped with multi recyclable materials in mind and it isbased on the recyclability of materials and products. Thesecond procedure is quite recently developed and it is based ona combination of economic parameters and recyclability. The importance of the usage phase for buildings andconstructions has previously been recognised. The maincontributors to the environmental loads generated during theusage phase are energy use, maintenance and emissions fromproducts. It is, however, not very common to consider the usagephase in assessments conducted on materials and components,even though it is stipulated in e.g. ISO 14025 that the wholelife cycle should be considered. A proposal of a model toestimate the environmental loads is, therefore, presented. Keywords:Life cycle assessment, Building materials andcomponents, Buildings and constructions, Allocation, Resultvariation, Usage phase, Energy demand / <p>NR 20140805</p>

Orientadores: José Roberto de França Arruda, Pierre Lamary / Tese (doutorado) ¿ Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-26T13:47:00Z (GMT). No. of bitstreams: 1 Pegoretti_ThaisdosSantos_D.pdf: 2527596 bytes, checksum: 4a887632523490eee648b59c0de7e4a2 (MD5) Previous issue date: 2014 / Resumo: Este trabalho tem como objetivo desenvolver uma metodologia capaz de adicionar critérios ambientais à fase de pré-projeto de um tratamento acústico veicular. Essa integração foi realizada através de uma otimização multiobjetivo baseada em um algoritmo genético. Um caso real foi analisado com a metodologia proposta. Ele consiste em um painel acústico multicamadas aplicado em um automóvel de passeio. O método da matriz de transferência é usado para o cálculo do comportamento acústico do painel. Neste método é feita a hipótese simplificadora de painel de área infinita, o que permite um custo computacional muito menor do que modelos de elementos finitos. Para a modelagem de materiais poroelásticos, utiliza-se o modelo de Johnson-Champoux-Allard, que inclui os fenômenos de dispersão de energia resultante da interação térmica e viscosa entre as fases sólida e fluida. O custo computacional menor do modelo é essencial para a otimização. Foram estabelecidos como objetivos da otimização a curva de perda de transmissão desejada e os resultados da análise do ciclo de vida do painel. Uma curva de perda de transmissão em função de bandas de oitava foi estabelecida como um critério de desempenho acústico mínimo. Para os critérios ambientais, o impacto de um painel existente foi estabelecido como máximo. A análise do ciclo de vida quantifica o impacto do produto em relação a diversos aspectos. Na metodologia proposta três critérios foram selecionados inicialmente: aquecimento global, destruição de recursos abióticos e toxicidade da água doce. Finalmente, apenas um deles foi utilizado na otimização, o aquecimento global, pois os critérios máximos estabelecidos para os demais eram facilmente atingidos ao longo da otimização. A otimização multiobjetivos gera como resultado uma frente de Pareto com um conjunto de soluções, e cabe ao projetista escolher a melhor opção, analisando-a em relação ao impacto ambiental e a outros aspectos, tais como disponibilidade e custo / Abstract: This work aims at developing a methodology capable of adding environmental criteria to the pre-design of a vehicular acoustic treatment. This integration was accomplished through a multi-objective optimization based on a genetic algorithm. A real case study was analyzed with the proposed methodology. It consists of a multilayered acoustic panel applied in passenger vehicles. The transfer matrix method is used to calculate the acoustic behavior of the panel. In this method the panel area is infinite. It provides a lower computational cost than finite element models, which can take into account the real dimensions of the panel. The Johnson-Champoux-Allard model was used for poroelastic material modeling. It includes the energy loss generated by the viscous and the thermal interactions between the solid and the fluid media. The lower computational cost of the model is essential for the optimization. The desired acoustic transmission and results of the life cycle analysis of the panel were established as the optimization objectives. A transmission loss curve in octave bands was defined as a minimum noise performance criterion. For the environmental criteria, an existing panel behavior was established as the maximum. The life cycle assessment quantifies the product impact with respect to many aspects. In the proposed methodology, three criteria were initially selected: global warming, abiotic depletion, and fresh water aquatic ecotoxicity. Finally, only one of them was used in the optimization, the global warming, because the maximum values established for the other criteria were easily achieved during the optimization. The multi-objective optimization provides a Pareto front solutions set, and it is up to the designer to choose the best option, analyzing the solution set with relation to environmental impact and other aspects, such as availability and cost / Doutorado / Mecanica dos Sólidos e Projeto Mecanico / Doutora em Engenharia Mecânica

abstract: ABSTRACT Historically, Life Cycle Assessments (LCA) guided companies to make better decisions to improve the environmental impacts of their products. However, as new Circular Economy (CE) tools emerge, the usefulness of LCA in assessing linear products grow more and more obsolete. Research Question: How do LCA-based tools account for reuse/multiple life cycles of products verses CE-based tools? The Kaiteki Innovation Framework (KIF) was used to address the question of circularity of two packaging materials using an Environmental LCA to populate its 12 CE dimensions. Any gaps were evaluated with 2 LCA- based and 2 CE-based tools to see which could address the leftover CE dimensions. Results showed that to complete the KIF template, LCA data required one of the LCA-based tools: Social Life Cycle Assessment (SLCA) and both CE-based tools: Circular Transition Indicators (CTI) and Material Circularity Indicator (MCI) to supplement gaps in the KIF. The LCA addressed 5 of the KIF dimensions: Innovation Category Name, Description, GHG Impact, Other Environmental Impacts, and Value Chain Position. 3 analytical tools addressed 5 more:: Effect on Circularity, Social Impacts, Enabling Technologies, Tier 2 and 3 Requirements, and Value Chain Synergies. None of the tools could address the KIF Dimensions: State of Development or Scale Requirements. All in all, the KIF required both LCA-based and CE-based tools to cover social and socio-economic impacts from a cradle-to-cradle perspective with multiple circular loops in mind. These results can help in the research and development of innovative, circular products that can lead to a more environmentally preferred future. / Dissertation/Thesis / Masters Thesis Sustainability 2020

The need to include sustainable design principles during product realization poses several challenges in need of research. The demand for greener products has increased while competition has shortened product realization processes. Product Lifecycle Management (PLM) provides solutions in accelerating the development process and time to market by managing the information through a full life cycle of a product line. Life Cycle Assessment (LCA) provides a way to predict the environmental impacts that should be expected over the complete life cycle of a given product, but LCA methods are not well suited to efficient comparison of product alternatives during early design stages. Customers and other stakeholders demand products that not only comply with regulations and minimize environmental impacts, but also minimize costs and maximize certain performance objectives of a product. Thus, an approach is needed to unify validation of new products compliance with holistic consideration of environmental impacts along with other objectives over a complete life cycle for the selection of the optimal design concept in an efficient manner. This research addresses these matters by proposing the approach of integrating LCA software with a PLM system. A conceptual LCA framework- LCAatPLM (Life Cycle Assessment of assembly tree in PLM) is proposed that allows environmental assessment of assembly tree directly extracted from PLM. Firstly, relevant existing solutions are reviewed and several challenges are identified that prevent integration. By decomposing the structure of both PLM and LCA, a common foundation is identified for the integration. Then, a design methodology is developed to show the use of LCAatPLM within PLM environment. A charcoal grill design case study is detailed to show how evaluations can be made based on achievement of strategic goals, along with verification of compliance and the visibility of LCA and other results. Our findings show that design executions through LCA integrated with PLM reveal environmental criterion at early stages. It can be considered with other design criteria to identify and select optimal alternatives. This research transforms LCA as an evaluation tool used after a design is already completed to one that can guide designs earlier within the PLM environment.

Content: Product Environmental Footprint Category Rules (PEFCRs) for calculating the environmental impact of leather manufacturing were approved by the European Commission in 2018. Chemicals are key input data for this methodology, given leather’s chemically intensive makeup. The increasing use of nonpetrochemical materials represents an important part of industry-wide efforts to reduce overall environmental impact. Though still in its infancy, research and commercial use of renewable raw materials for leather chemicals is expected to accelerate in the coming years, especially with regard to understanding the environmental impact of bio-based products. Indeed, when decisions are made to substitute fossil fuel-derived products with alternative bio-based versions, a common assumption is that a reduction in environmental footprint will accompany that substitution. However, reports have been published that challenge this view1,2,3. The aim of this paper is to provide an overview of environmental impact data for bio-based polyurethanes and to interpret the data in order to make better decisions about further research and product design. Take-Away: Environmental impact is not just about Climate Change

Life Cycle Assessment (LCA) is a widely recognized tool usedto evaluate environmental impacts of a product or process, based on environmental inventory database, and supply chain information. Although significant progress has been made on the development of LCA methodology and growth of LCA applications, there areissues to be addressed. As the number of LCA related publication increases rapidly it becomes challenging to gain a comprehensive understanding on the state-of-the-art: only a small number of review papers have been published and they tend to narrowly focus on a particular field or application while literature search is largely done manually. In addition, almost all LCA software tools are still using the legacy desktop application which have steep learning curve, unfriendly user interface, and complicated installation and maintenance requirements. Moreover, life cycle inventory databases, which serve as the data foundation of LCA, are designed and managed as a centralized structure with slow updates and low spatial and temporal resolution i.e., not supply chain specific. The development of informatics techniques opens up numerous opportunities to address these issues. This dissertation reports one of the first effort on applying informatics techniques i.e., automatic content analysis (ACA), web-based application, and blockchain to modernize LCA. <div><br></div><div>For the first time, ACA is applied on LCA related research to comprehend the big picture and get a better overview regarding the focus and evolution of LCA related research. The results show that while the field changed overtime, the most interested environmental category remained to be carbon emissions. However, the result also shows that whilecomputer science has evolved considerably, modern informatic techniques have only had a scattered impact on LCA. To overcome the limitation of current LCA software, an idea of developing a web-based application to benefit LCA implementation is proposed, especially for a certain type of industry with complex and hierarchical bills of materials. In cooperation with International Electronics Manufacturing Initiative (iNEMI), a web-based application is developed named Eco-impact Estimator (EiE). EiE is capable of performing quick and straightforward eco-impact estimation, especially for information and communication technology (ICT)products, with more than 50 users currently. To further optimize LCA, decentralized structure might be necessary. A new method is needed that can automatically back track supply chain along with material flow, with robust data availability and privacy. A blockchain-based LCA (BC-LCA) is proposed to solve this problem, with a framework built up, a detailed mechanism discussed, and a case study provided based on a practical industrial supply chain. Result shows that BC-LCA could improve data availability by providing increased data privacy and timeliness with the application of blockchain. Furthermore, the more nodes from a supply chain that join in BC-LCA, the better it could get.<br></div><div><br></div><div>With the help of informatic techniques, LCA can be improved significantly, including generating a more quantitative research overview, developing a more user-friendly LCA web-based application for ICT product manufacturing, and providing a LCA framework with more data availability, data privacy and data timeliness. Though it is still necessary to estimate the budget for such implication, which e is left as future work, trialing on interdisciplinary solutions may bring a new possibility to classic LCA.<br></div>

<div>As society rapidly migrates to digitized services, the Information, Communications, and Technology (ICT) sector is projected to sustain a 16% compound annual growth rate (CAGR) over the next five years, surpassing $1 trillion in revenue by 2024. The hardware infrastructure that supports ICT growth, such as semiconductor chips and hard disk drives (HDDs), is also experiencing parallel growth trajectories. Thus, large technology companies need to understand the environmental implications of growth in these vital components within their supply chains, as they strive to reach ambitious targets for carbon, water, and waste reduction.</div><div><br></div><div>Life cycle assessment (LCA) is a powerful tool for measuring environmental impacts along the life cycle of a product and is implemented here to measure emissions and resource use in the semiconductor and HDD manufacturing supply chains, and to quantify the benefits of circularity for HDD components. However, to understand how environmental impacts of a manufacturing process relate to the landscapes (i.e. ecosystems) where manufacturing occurs, one must look to methods beyond LCA. </div><div><br></div><div>Footprinting methods are a promising tool for bridging the gap between LCA process data inventories and site-specific impacts on ecosystems. Further, the footprint assesses the total volume of emission over a time period, which is aligned with the concept of absolute sustainability. As such, regionalized footprint methods for freshwater use in the semiconductor industry and toxic chemical pollution for the HDD rare earth magnet supply chain were undertaken. In each case, data from the LCA literature or custom LCAs were used as the basis for the life cycle inventory, but advanced methods including regional databases of water scarcity and toxicity factors were used to quantify and communicate impacts. Further, geographic information systems (GIS) were used to allocate emissions or water use from a manufacturing facility with their associated watershed, which enabled aggregation of data across various geographies (i.e. watershed, region, country). </div><div><br></div><div>This work implements multi-disciplinary methods, databases, and tools with the aim to bring water and chemical footprinting methods a step closer towards meaningful assessment of a product’s impact on local, regional, and planetary boundaries. </div><div><br></div>