Abstract
Buildings contribute about 40% of greenhouse gas emissions in the USA. The estimation of urban building fossil fuel CO2 emissions with the fine spatial and temporal resolution is critical for climate change studies and developing optimal plans for reaching emission reduction goals. This study proposed a new method to map fossil fuel CO2 emissions at the building level and hourly scale. Specifically, a building energy use model was developed and used for modeling building energy consumption at the hourly scale through integrating building prototypes from the accessor’s data, the number of floors from remote sensing data, floor area from footprint data, and energy use intensity from the Energy Plus model. Furthermore, the greenhouse gas equivalencies calculator was applied to convert calculated building energy consumption to greenhouse gas emissions at the building level and hourly scale. Research results indicate that the spatial distribution pattern of fossil fuel CO2 emissions is largely decided by building type, building height, and building density. In particular, the largest fossil fuel CO2 emissions are located in the center of Manhattan which is composed of large offices and hotels. In terms of temporal pattern, stable and similar monthly greenhouse gas emissions could be detected throughout four seasons, and two small emission peaks could be found in around July and December which are caused by high cooling electricity use and high gas heating consumption. The hourly emissions patterns also indicate the active relationship between fossil fuel CO2 emissions and daily human activities.
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References
Abergel T, Dean B, Dulac J (2017) Towards a zero-emission, efficient, and resilient buildings and construction sector: global status report 2017. UN Environ Int Energy Agency Paris Fr 22
Agreement, P (2015) Paris agreement. Report of the conference of the parties to the united nations framework convention on climate change (21st Session, 2015: Paris). Retrived December. HeinOnline, pp 2017–2015
Andres R, Fielding D, Marland G, Boden T, Kumar N, Kearney A (1999) Carbon dioxide emissions from fossil-fuel use, 1751–1950. Tellus B 51:759–765
Andres RJ, Boden TA, Bréon F-M et al (2012) A synthesis of carbon dioxide emissions from fossil-fuel combustion. Biogeosciences 9(5):1845–1871
Andres RJ, Marland G, Fung I, Matthews E (1996) A 1× 1 distribution of carbon dioxide emissions from fossil fuel consumption and cement manufacture, 1950–1990. Glob Biogeochem Cycles 10:419–429
Baldasano JM, Soriano C, Boada LS (1999) Emission inventory for greenhouse gases in the city of Barcelona, 1987–1996. Atmospheric Environ 33:3765–3775
Basu S, Lehman SJ, Miller JB et al (2020) Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2. Proc National Acad Sci 117(24):13300–13307
Blasing T, Broniak C, Marland G (2005) The annual cycle of fossil-fuel carbon dioxide emissions in the United States. Tellus B Chem Phys Meteorol 57:107–115
Damassa T, Ge M, Taryn, F (2014) The U.S. greenhouse gas reduction targets. In: W.R. (Ed) Institute
Department of Energy (2016) EnergyPlus
EPA U (2019) Greenhouse gas equivalencies calculator
European Commission (2017) EU climate action
Ghosh T, Elvidge CD, Sutton PC, Baugh KE, Ziskin D, Tuttle BT (2010) Creating a global grid of distributed fossil fuel CO2 emissions from nighttime satellite imagery. Energies 3:1895–1913
Gurney K, Ansley W, Mendoza D et al (2007) Research needs for finely resolved fossil carbon emissions. Eos Trans Am Geophys Union 88:542–543
Gurney KR, Chen YH, Maki T, Kawa SR, Andrews A, Zhu Z (2005) Sensitivity of atmospheric CO2 inversions to seasonal and interannual variations in fossil fuel emissions. J Geophys Res: Atmos 110
Gurney KR, Law RM, Denning AS et al (2002) Towards robust regional estimates of CO 2 sources and sinks using atmospheric transport models. Nature 415:626–630
Gurney KR, Liang J, Patarasuk R, Song Y, Huang J, Roest G (2019) The vulcan version 3.0 high-resolution fossil fuel CO 2 emissions for the United States. Earth Syst Sci Data Discuss 1–42
Gurney KR, Mendoza DL, Zhou Y et al (2009) High resolution fossil fuel combustion CO2 emission fluxes for the United States. Environ Sci Technol 43:5535–5541
Gurney KR, Romero-Lankao P, Seto KC et al (2015) Climate change: track urban emissions on a human scale. Nature 525:179–181
Hoegh-Guldberg O, Jacob D, Bindi M, et al (2018) Impacts of 1.5 C global warming on natural and human systems. Global warming of 1.5 °C. An IPCC special report
Hofmann DJ, Butler JH, Dlugokencky EJ et al (2006) The role of carbon dioxide in climate forcing from 1979 to 2004: introduction of the annual greenhouse gas index. Tellus B Chem Phys Meteorol 58:614–619
Hulme M (2016) The climate research agenda after Paris: should 1.5 degrees change anything. Nature Clim Change 6:222–224
IPCC (2006) IPCC guidelines for national greenhouse gas inventories. Inst Glob Environ Strateg, Hayama Kanagawa Jpn
IPCC (2014) Climate change (2014) synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. In: Meyer CWTRKALA (Ed) Geneva, Switzerland
Keeling CD (1973) Industrial production of carbon dioxide from fossil fuels and limestone. Tellus 25:174–198
Kennedy C, Steinberger J, Gasson B et al (2009) Greenhouse gas emissions from global cities. ACS Publications, Washington
Kennedy C, Steinberger J, Gasson B et al (2010) Methodology for inventorying greenhouse gas emissions from global cities. Energy Policy 38:4828–4837
Lauvaux T, Miles NL, Deng A et al (2016) High-resolution atmospheric inversion of urban CO2 emissions during the dormant season of the Indianapolis flux experiment (INFLUX). J Geophys Res Atmos 121:5213–5236
Li W, Zhou Y, Cetin K et al (2017) Modeling urban building energy use: a review of modeling approaches and procedures. Energy 141:2445–2457
Li W, Zhou Y, Cetin KS, Yu S, Wang Y, Liang B (2018) Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate. Build Environ 136:107–117
Livingston JE, Rummukainen M (2020) Taking science by surprise: the knowledge politics of the IPCC special report on 1.5 degrees. Environ Sci Policy 112:10–16
Ma T (2016) All eyes on china's 13th five-year plan for energy. Chinadialogue
Macknick J (2011) Energy and CO2 emission data uncertainties. Carbon Manag 2:189–205
Ngo N, Pataki D (2008) The energy and mass balance of Los Angeles County. Urban Ecosyst 11:121–139
NREL (2019) U.S. Department of energy commercial reference building models of the national building stock. Technical Report
Olivier J, Bouwman A, Berdowski J et al (1999) Sectoral emission inventories of greenhouse gases for 1990 on a per country basis as well as on 1 × 1. Environ Sci Policy 2:241–263
Ramaswami A, Hillman T, Janson B, Reiner M, Thomas G (2008) A demand-centered, hybrid life-cycle methodology for city-scale greenhouse gas inventories. ACS Publications, Washington
Rayner P, Raupach M, Paget M, Peylin P, Koffi E (2010) A new global gridded data set of CO2 emissions from fossil fuel combustion: Methodology and evaluation. J Geophys Res Atmos 115
Rogelj J, Den Elzen M, Höhne N et al (2016) Paris agreement climate proposals need a boost to keep warming well below 2 C. Nature 534:631–639
US EIA (2015) Residential energy consumption survey (RECS)
US EIA (2018) Commercial building energy consumption survey (CBECS)
VandeWeghe JR, Kennedy C (2007) A spatial analysis of residential greenhouse gas emissions in the Toronto census metropolitan area. J Ind Ecol 11:133–144
Wolfe RE, Duggan B, Aulenbach S et al (2015) USGCRP global change information system support for the SOCCR-2. In: AGU fall meeting abstracts. pp GC13F-1227
Yang T, Pan Y, Yang Y et al (2017) CO2 emissions in China’s building sector through 2050: a scenario analysis based on a bottom-up model. Energy 128:208–223
Zhou Y, Gurney K (2010) A new methodology for quantifying on-site residential and commercial fossil fuel CO2 emissions at the building spatial scale and hourly time scale. Carbon Manag 1:45–56
Acknowledgements
This research was supported by the Faculty First Grant, New Faculty Grant, and Sustainability Faculty Fellowship from the University of North Carolina at Greensboro. The author also would like to thank the reviewers for their constructive suggestions on an earlier version of this manuscript.
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Li, W. Mapping urban building fossil fuel CO2 emissions with a high spatial and temporal resolution. Int. J. Environ. Sci. Technol. 19, 1785–1798 (2022). https://doi.org/10.1007/s13762-021-03234-0
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DOI: https://doi.org/10.1007/s13762-021-03234-0