Implications of energy policy on a product system's dynamic life-cycle environmental impact: Survey and model

Choi, Jun-Ki; Friley, Paul; Alfstad, Thomas

doi:10.1016/j.rser.2012.05.032

Cited by 29 publications

(13 citation statements)

References 24 publications

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“…Several studies use market mixes from TIMES for prospective assessments, improving temporal representativeness [3,4,12], while others integrate life cycle emissions in TIMES models [7][8][9][10][11]. Limiting the boundaries to a particular sector reduces the number of technologies that need to be mapped, but it could result in a loss of completeness, questioning the suitability of the system boundary.…”

Section: Mapping Times-lca Processesmentioning

confidence: 99%

“…For example, Ref. [4] used multisector MARKAL model to update a prospective electricity mix in the US for different scenarios such as cap and trade or CO 2 taxes. However, such policies affect more than just the electricity sector, and induced changes in other sectors of the model should be considered to make a fair comparison of different scenarios.…”

Section: Mapping Times-lca Processesmentioning

confidence: 99%

“…The use of energy system optimisation models (ESOM) together with life cycle thinking has the potential to underpin comprehensive understanding of the energy supply chain and its influence on sustainable production. There is a small but increasing number of studies combining life cycle assessment (LCA) and ESOM [3][4][5][6][7][8][9][10][11][12], ESOM best practices start to include LCM practices, such as goal and scope definition or the use of data quality indicators as a way to quantify epistemic uncertainty (i.e. the uncertainty associated with data quality) [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Integrating Energy System Models in Life Cycle Management

Astudillo

Vaillancourt

Pineau

et al. 2018

Designing Sustainable Technologies, Products and Policies

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The energy supply chain is the backbone of industrialised societies, but it is also one of the leading causes of global environmental burden. Life cycle management (LCM) and life cycle assessment (LCA) are increasingly being used in combination with energy system optimisation models (ESOM) to better represent the energy sector and its dynamics, and facilitate better decision-making. The integration of ESOM and LCA can enable powerful analyses, but not without difficulties. In this chapter, we review studies linking a well-known bottom-up ESOM (TIMES) with LCA databases and identify the principal challenges and how they have been addressed. One of the main integration challenges is the identification of equivalent processes between life cycle inventories and ESOM databases: the mapping problem. Other concomitant issues such as double counting and parameter consistency have been identified and are also investigated.

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Section: Mapping Times-lca Processesmentioning

confidence: 99%

Section: Mapping Times-lca Processesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrating Energy System Models in Life Cycle Management

Astudillo

Vaillancourt

Pineau

et al. 2018

Designing Sustainable Technologies, Products and Policies

View full text Add to dashboard Cite

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“…In order to capture the community-wide change in carbon dioxide emission, inputoutput based life cycle assessment (LCA) is adopted. Methodology developed from previous life cycle analysis studies have used to integrate the top-down LCA framework for assessing the economic and environmental implication [4,5].…”

Section: Datamentioning

confidence: 99%

Economic and Environmental Impacts of Energy Efficiency Investment on Local Manufacturers

Choi

Hallinan

Kissock

et al. 2015

Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- And Nanosystems

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The main goal of this study is to estimate the community-wide economic and environmental impacts of energy efficiency investment on the local manufacturing using data with different granularity. A systematic framework is developed by using multiple scale/layer of data. Result shows that a $14M investment in HVAC upgrade to reduce energy and cost in the economy of the Montgomery County, Ohio can result in a total local economic impact of $22M, stemming from the $14.5M coming from direct impact, $2.8M coming from indirect impact, and $4.7M coming from induced impacts. Job creation over the investment period yields a total of 106 jobs. Analysis provides insight into the most important types of economic effects to the local industries. From an environmental perspective, short term economy-wide carbon dioxide emissions increase because of the increased community-wide economic activities spurred by the production from local manufacturers and installation of energy efficiency measures, however the resulting energy savings provide continuous carbon dioxide reduction for various target savings.

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“…2 A survey by Reap et al 3 and a more complete summary of the state of the art in LCA by Finnveden et al 4 raise concerns that the time dimension in LCA is often overlooked. Attempts to address time dependency and scenarios in LCA have increased over the past decade [5][6][7][8][9] , including with the use of input-output [10][11][12] . In scenario modeling, the relevance of including information from LCA is increasingly recognized.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Integrated, Multiregional Life Cycle Assessment Scenarios under Large-Scale Technological Change

Gibon

Wood

Arvesen

et al. 2015

Environ. Sci. Technol.

122

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18Climate change mitigation demands large-scale technological change on a global level and, if 19 successfully implemented, will significantly affect how products and services are produced and 20 consumed. In order to anticipate the life cycle environmental impacts of products under climate 21 mitigation scenarios, we present the modelling framework of an integrated hybrid life cycle 22 assessment model covering nine world regions. Life cycle assessment databases and multi-23 regional input-output tables are adapted using forecasted changes in technology and resources 24 up to 2050 under a 2°C scenario. We call the result of this modelling "Technology Hybridized 25Environmental-economic Model with Integrated Scenarios" (THEMIS). As a case study, we 26 apply THEMIS in an integrated environmental assessment of concentrating solar power. Life-27 cycle greenhouse gas emissions for this plant range from 33 to 95 g CO2/kWh across different 28 world regions in 2010, falling to 30-87 g CO2/kWh in 2050. Using regional life cycle data 29 yields insightful results. More generally, these results also highlight the need for systematic 30 life cycle frameworks that capture the actual consequences and feedback effects of large-scale 31 policies in the long-term. 32 Introduction 33A 2°C global average temperature increase is considered the threshold above which global 34 warming consequences on human health, ecosystems, and resources might be disastrous. 35Pathways incorporating a combination of a shift towards low-carbon energy technologies, 36 efficiency improvements, and a decrease in final consumption present various ways to reduce 37 greenhouse gas emissions as means to reach climate targets. In effect, climate change 38 mitigation demands large-scale technology change on a global level and, if successful, will 39 significantly affect how products and services are produced and consumed. Understanding the 40 3 future life cycle implications of this substantial change requires a modeling of technological 41 deployments in the global economy. 42In general, life cycle assessment (LCA) studies provide static snapshots of systems at a given 43 moment in the past or in a hypothetical future for a given region. In contrast, energy scenario 44 models trace fuel chains, and do not account for the life cycle aspects related to the energy 45 systems' infrastructure. This paper demonstrates a methodology that combines these 46 approaches to overcome the shortcomings of each. Depending on the large scale impact of a 47 certain technology's deployment, the whole life cycle impact of any given product may be 48 affected. Modifications predicted in climate change mitigation roadmaps address all sectors of 49 the economy, from electricity generation through transportation to cement production. It is 50 therefore essential to assess these modifications based on a model that contains all life cycle 51 phases of both existing and emerging technologies. We illustrate this approach in the present paper by applying the resulting model on...

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Implications of energy policy on a product system's dynamic life-cycle environmental impact: Survey and model

Cited by 29 publications

References 24 publications

Integrating Energy System Models in Life Cycle Management

Integrating Energy System Models in Life Cycle Management

Economic and Environmental Impacts of Energy Efficiency Investment on Local Manufacturers

A Methodology for Integrated, Multiregional Life Cycle Assessment Scenarios under Large-Scale Technological Change

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