Research

@article{Zhong2021ab,

title = {Global greenhouse gas emissions from residential and commercial building materials and mitigation strategies to 2060},

author = {Xiaoyang Zhong and Mingming Hu and Sebastiaan Deetman and Bernhard Steubing and Hai Xiang Lin and Glenn Aguilar Hernandez and Carina Harpprecht and Chunbo Zhang and Arnold Tukker and Paul Behrens},

url = {https://doi.org/10.1016/j.rser.2022.112677 https://doi.org/10.1016/j.energy.2022.123339 https://doi.org/10.1016/j.oneear.2021.12.011 https://doi.org/10.1016/j.ecolecon.2022.107339 https://doi.org/10.1016/j.jclepro.2021.127098 https://doi.org/10.1016/j.sci},

doi = {10.1038/s41467-021-26212-z},

issn = {20411723},

year  = {2021},

date = {2021-07-01},

journal = {Nature Communications},

volume = {12},

number = {1},

pages = {1–10},

publisher = {Elsevier Ltd},

address = {Copenhangen},

edition = {1},

abstract = {Building stock growth around the world drives extensive material consumption and environmental impacts. Future impacts will be dependent on the level and rate of socioeconomic development, along with material use and supply strategies. Here we evaluate material-related greenhouse gas (GHG) emissions for residential and commercial buildings along with their reduction potentials in 26 global regions by 2060. For a middle-of-the-road baseline scenario, building material-related emissions see an increase of 3.5 to 4.6 Gt CO2eq yr-1 between 2020–2060. Low- and lower-middle-income regions see rapid emission increase from 750 Mt (22% globally) in 2020 and 2.4 Gt (51%) in 2060, while higher-income regions shrink in both absolute and relative terms. Implementing several material efficiency strategies together in a High Efficiency (HE) scenario could almost half the baseline emissions. Yet, even in this scenario, the building material sector would require double its current proportional share of emissions to meet a 1.5 °C-compatible target.},

keywords = {Acoustic measurements, adaptation measure, Animal husbandry, Beach sampling, Beach sediment, beach sediment citizen science, Benefits, biodiversity impacts, biodiversity loss, Black carbon, capital investment, Carbon emissions, Caribbean, China, china-us trade conflicts, circular economy, Citizen science, climate change, CO2 emissions, CO2emissions, Community, Complex terrain, Concentrated solar power, Consultation, Consumption structure, countryside species-area relationship, Cress (Lepidium sativum), Decomposition analysis, Decoupling analysis, Desulfurization technologies, Economic and social impacts, Electricity generation, Electricity sector, Electricity system, Emission projections, energy footprint, Energy models, Energy scenarios, Energy systems, Energy technology, Energy transition, energy use, energy water nexus, Energy-water nexus, Environmental, Environmental impact, environmental inequality, Environmental Justice, Environmentally extended multiregional input-outpu, EU countries, Europe, Exposure concentration, Extraction, Feed-in tariffs, Feedback and spillover effects, Flow curvature, food system, Historical drivers, Household carbon emissions, Household GHG footprints, human development, Hybrid input-output analysis, Hydraulic unbalanced forces, hydro-turbine governing system, Hydroelectric generating systems, Income inequality, Industrial CO2 emissions, industrial ecology, Input-output analysis, input–output analysis, international trade, Investment, Investment and opportunity costs, Land, Land degradation, land-use intensity, Learning curve, Lesser Antilles, Lidar observations, Lidars, Life cycle assessment, Low-carbon electricity technology, Material footprint, Mathematical model, Method standardization, Microplastics, Mineral resources, Mining, Modal interactions, MRIO model, Multi-regional input-output (MRIO) analysis, Multi-Regional Input-Output Analysis, Multi-regional input-output model, multiregional input-output analysis, Nano- and micron-sized plastics, Non-fossil electricity, Operational, Perceptions, Plastic pollution, Policy goals, Poverty, Power density, power generation, Power plants, Power transmission, Primary crops, Public transit, Rebound, Remote sensing, renewable energy policy, resource efficiency, Responsibility Sharing, Sectoral analysis, Sharing economy, SO2 emission reduction, Socio-economic impact, Sodar, Solar energy, Spatial decomposition analysis, Spatial impact, Spatially explicit, Standard operating procedure, Sublethal impacts, Subnational, Subsystem input-output model, Sustainable consumption, techno-economic evaluation, Terrestrial systems, thermal emissions, Urban-rural differences, Urbanization, Vascular plant, Vulnerable passengers, water basin, water consumption, Water footprint, Water scarcity, Wind, Wind energy},

pubstate = {published},

tppubtype = {article}

}

@article{Yuan2018e,

title = {Carbon overhead: The impact of the expansion in low-carbon electricity in China 2015–2040},

author = {Rong Yuan and Paul Behrens and Arnold Tukker and Joao F. D. Rodrigues},

url = {https://doi.org/10.1016/j.enpol.2018.04.027},

doi = {10.1016/j.enpol.2018.04.027},

issn = {03014215},

year  = {2018},

date = {2018-01-01},

journal = {Energy Policy},

volume = {119},

number = {January},

pages = {97–104},

publisher = {Elsevier Ltd},

abstract = {China has embarked on a massive program of low-carbon electricity (LE) deployment, in order to reduce its current dependence on coal. The cumulative installed capacity of LE in 2015 was almost four times of that in 2002. Moreover, China has a target of 20% for non-fossil fuels in primary energy consumption by 2030. LE provides substantial carbon savings in the use phase, but LE infrastructure tends to require more materials than their fossil-fuel electricity counterpart. Here we estimate the carbon ‘overhead' from infrastructure expansion during China's transition to LE. We report estimates of the learning curves of the carbon intensity of LE installation, calculated from regional historical data in the period 2002–2012. We combine this information with the predicted cumulative installed capacity from well-known scenarios from national and international bodies. We then project the trends of carbon impacts from LE investments up to 2040. Our results show that, under all scenarios and every year, the annual carbon impact of LE investments never exceeds 4% of China's total carbon emissions, and that the carbon impacts of the expansion in LE infrastructure show either a steady decline or a peak during 2030–2035 before declining further.},

keywords = {CO2 emissions, Investment, Low-carbon electricity technology},

pubstate = {published},

tppubtype = {article}

}