Abstract:Both the construction and use of buildings cause significant environmental pressures. The greenhouse gas (GHG) emissions imposed by buildings have been studied rather extensively, but less is known about other impacts. Still, climate change is only one harmful impact driven by buildings. Furthermore, no studies exist about how the other impacts are correlated with GHG emissions in the building context, and thus to what extent GHGs could be utilized as a more general environmental performance indicator. This pa… Show more
“…The contributions of the study to the building pre-use LCA In all cases, concrete and steel accounted for a significant share of total GWP, ranging from 10% to 56% for concrete and 9% to 39% for steel. This is also fully consistent with the finding of [29] that materials that are in terms of weight considered unimportant, those often left outside the assessment scopes, can have significant overall impact even in the GWP category, and much more so in other categories. If estimating according to the results of Heinonen et al [29], the magnitude of the cutoffs in this study due to the boundary selection was 20%-25% in GWP.…”
Section: Discussionsupporting
confidence: 88%
“…This is also fully consistent with the finding of [29] that materials that are in terms of weight considered unimportant, those often left outside the assessment scopes, can have significant overall impact even in the GWP category, and much more so in other categories. If estimating according to the results of Heinonen et al [29], the magnitude of the cutoffs in this study due to the boundary selection was 20%-25% in GWP. It is thus important to interpret the results correctly and to compare the overall levels of the results in different categories to studies with wider scopes.…”
Section: Inter-study Comparison Of the Gwp Impact Assessmentsupporting
confidence: 88%
“…To interpret the results, it should be considered that, surface materials, electric systems, and plumbing as well as the emissions from the manufacturing work, operation and end of life are not calculated in this analysis. AS mentioned, if assessed according to the cutoff estimations of [29] for GWP impact, the cutoff is 20%-25%, but at least as important in other categories and up to 50% in HT. This draws attention to the correct interpretation of LCA results.…”
Abstract:Buildings are the key components of urban areas and society as a complex system. A life cycle assessment was applied to estimate the environmental impacts of the resources applied in the building envelope, floor slabs, and interior walls of the Vaettaskóli-Engi building in Reykjavik, Iceland. The scope of this study included four modules of extraction and transportation of raw material to the manufacturing site, production of the construction materials, and transport to the building site, as described in the standard EN 15804. The total environmental effects of the school building in terms of global warming potential, ozone depletion potential, human toxicity, acidification, and eutrophication were calculated. The total global warming potential impact was equal to 255 kg of CO 2 eq/sqm, which was low compared to previous studies and was due to the limited system boundary of the current study. The effect of long-distance overseas transport of materials was noticeable in terms of acidification (25%) and eutrophication (31%) while it was negligible in other impact groups. The results also concluded that producing the cement in Iceland caused less environmental impact in all five impact categories compared to the case in which the cement was imported from Germany. The major contribution of this work is that the environmental impacts of different plans for domestic production or import of construction materials to Iceland can be precisely assessed in order to identify effective measures to move towards a sustainable built environment in Iceland, and also to provide consistent insights for stakeholders.
“…The contributions of the study to the building pre-use LCA In all cases, concrete and steel accounted for a significant share of total GWP, ranging from 10% to 56% for concrete and 9% to 39% for steel. This is also fully consistent with the finding of [29] that materials that are in terms of weight considered unimportant, those often left outside the assessment scopes, can have significant overall impact even in the GWP category, and much more so in other categories. If estimating according to the results of Heinonen et al [29], the magnitude of the cutoffs in this study due to the boundary selection was 20%-25% in GWP.…”
Section: Discussionsupporting
confidence: 88%
“…This is also fully consistent with the finding of [29] that materials that are in terms of weight considered unimportant, those often left outside the assessment scopes, can have significant overall impact even in the GWP category, and much more so in other categories. If estimating according to the results of Heinonen et al [29], the magnitude of the cutoffs in this study due to the boundary selection was 20%-25% in GWP. It is thus important to interpret the results correctly and to compare the overall levels of the results in different categories to studies with wider scopes.…”
Section: Inter-study Comparison Of the Gwp Impact Assessmentsupporting
confidence: 88%
“…To interpret the results, it should be considered that, surface materials, electric systems, and plumbing as well as the emissions from the manufacturing work, operation and end of life are not calculated in this analysis. AS mentioned, if assessed according to the cutoff estimations of [29] for GWP impact, the cutoff is 20%-25%, but at least as important in other categories and up to 50% in HT. This draws attention to the correct interpretation of LCA results.…”
Abstract:Buildings are the key components of urban areas and society as a complex system. A life cycle assessment was applied to estimate the environmental impacts of the resources applied in the building envelope, floor slabs, and interior walls of the Vaettaskóli-Engi building in Reykjavik, Iceland. The scope of this study included four modules of extraction and transportation of raw material to the manufacturing site, production of the construction materials, and transport to the building site, as described in the standard EN 15804. The total environmental effects of the school building in terms of global warming potential, ozone depletion potential, human toxicity, acidification, and eutrophication were calculated. The total global warming potential impact was equal to 255 kg of CO 2 eq/sqm, which was low compared to previous studies and was due to the limited system boundary of the current study. The effect of long-distance overseas transport of materials was noticeable in terms of acidification (25%) and eutrophication (31%) while it was negligible in other impact groups. The results also concluded that producing the cement in Iceland caused less environmental impact in all five impact categories compared to the case in which the cement was imported from Germany. The major contribution of this work is that the environmental impacts of different plans for domestic production or import of construction materials to Iceland can be precisely assessed in order to identify effective measures to move towards a sustainable built environment in Iceland, and also to provide consistent insights for stakeholders.
“…[50,51] total human resources of the enterprises the sum of "employed persons of industrial enterprises above designated size by region" industry output [52,53] the total product value of energy industry in a certain period of time the sum of "gross output value of industrial enterprises above designated size by region" EN energy consumption [54,55] consumption of coal, oil, natural gas, water and electricity in production process the sum of "energy consumption by region" CO 2 emissions [56][57][58] CO 2 emissions in production process IPCC based on the sum of "coal consumption by region", "oil consumption by region" and "natural gas consumption by region"…”
Section: Data Sources and Index Selectionmentioning
confidence: 99%
“…Statistical Yearbook solid waste quantity [56][57][58] solid waste generated in the production process of energy industry the sum of "general industrial solid waste utilization and disposal by region" China Statistical Yearbook on Environment wastewater quantity [56][57][58] wastewater generated in the production process of energy industry the sum of "industrial wastewater disposal by region" IN R&D fund [59][60][61] R&D expenditures for the energy industry the sum of "R&D funds of industrial enterprises above designated size by region" China Statistical Yearbook on Science and Technology R&D personnel [59,62,63] number of R&D personnel for the energy industry the sum of "R&D personnel of industrial enterprises above designated size by region" new product output [59,64,65] new product output value of energy industry the sum of "gross output value of new products of large and medium sized industrial enterprises by region" Notes: All the data are selected from "coal mining and washing industry", "petroleum and natural gas extraction industry", "petroleum processing, coking, nucleus fuel processing industry", "electric power, heat power production and supply industry", "gas production and distribution industry" and "water production and distribution industry" of China's yearbook. EC denotes economic performance, EN denotes environmental performance, and IN denotes innovative performance.…”
Environmental friendly renewable energy plays an indispensable role in energy industry development. Foreign direct investment (FDI) in advanced renewable energy technology spillover is promising to improve technological capability and promote China's energy industry performance growth. In this paper, the impacts of FDI renewable energy technology spillover on China's energy industry performance are analyzed based on theoretical and empirical studies. Firstly, three hypotheses are proposed to illustrate the relationships between FDI renewable energy technology spillover and three energy industry performances including economic, environmental, and innovative performances. To verify the hypotheses, techniques including factor analysis and data envelopment analysis (DEA) are employed to quantify the FDI renewable energy technology spillover and the energy industry performance of China, respectively. Furthermore, a panel data regression model is proposed to measure the impacts of FDI renewable energy technology spillover on China's energy industry performance. Finally, energy industries of 30 different provinces in China based on the yearbook data from 2005 to 2011 are comparatively analyzed for evaluating the impacts through the empirical research. The results demonstrate that FDI renewable energy technology spillover has positive impacts on China's energy industry performance. It can also be found that the technology spillover effects are more obvious in economic and technological developed regions. Finally, four suggestions are provided to enhance energy industry performance and promote renewable energy technology spillover in China.
Nowadays, due to the increasing energy demand in different industry, agriculture, and household sectors, great importance is attached to energy portfolio and generation/consumption in macrolevel planning. A viable approach to power generation planning is the environmental assessment of the power generation process. This study employs life cycle assessment based on Eco-Indicator 99 methodology which analyzes midpoint and endpoint impacts. Energy impact evaluation is based on Eco-invent database from resource harvesting to recycling. The study aims to assess Iran's energy production/consumption portfolio, but technical construction, operation, and recycling are not discussed. The study focuses on energy demand and energy generation resources in Iran, under three energy portfolio scenarios: (1) a basic scenario is a real energy portfolio for Iran's 2018-power demand, (2) Iran's 2050-energy portfolio with maximum accessible renewable energy capacity, and (3) Iran's 2050-energy portfolio with zero-carbon emission to evaluate the final consequences of life cycle. The York model is used to estimate energy demand in 2050. The Green-X model is used to evaluate the relationship between the impacts and economic growth. Iran's energy portfolio has a low emission, compared with the global portfolio with a 36%-coal application. Among Iran's portfolios, the most adventitious scenario is in 2018, followed by the 2050 portfolio with population growth and 50% increase in energy demand, and the zero-carbon scenario with 64% of energy portfolio based on solar and wind energy technologies. Compared with the 2018 scenario, in the second and third scenarios, the environmental effects are decreased by 40% and 52%, respectively, indicating the significance of renewable energy in reducing the environmental consequences.
K E Y W O R D Sassessment of Iran's energy portfolio (electricity mix), energy demand prediction, environmental assessment of energy systems, Iran's energy perspective, LCA of energy, zero-carbon energy portfolio
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