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Perspective Piece

The Relationship Between Climate Emergency, Pandemics, and Buildings: COVID-19 Has A Vaccine Now But Climate Emergency Has Not

Abstract

This paper identifies two types of carbon dioxide gas emissions. The first type concerns direct emissions, emanating from sources that involve fossil fuels, such as industrial process, power generation, transportation, and farm waste. The second type, which has not been accounted for so far, is concerned with exergy mismatches between the supply and demand in any given process, even if no fossil fuels are directly involved. Exergy is the useful work potential of any given amount or flow of energy.

This paper presents a direct link between the climate emergency and carbon dioxide emissions due to quality (Exergy) mismatches between the energy supply and energy demand, which may be minimized by proper design, control, and system selection in the built environment. It is shown that these nearly avoidable exergy mismatches are as pressing as direct emissions from fossil fuel usage and such destructions also take place in green energy systems, including solar and wind energy systems. The paper further explains that these emissions are responsible for the climate emergency (Global warming) as direct emissions are. An example is given about a wind power-heated house, and it is shown that it is responsible for emissions despite no fossil fuel being involved on the site. The paper then establishes a direct link between emission exceedances and the additional pandemic risk to conclude that buildings are responsible for most of these additional pandemic risks.

Full Text

Introduction holistic view of the mechanism of global warming.

Figure 1 shows that decarbonization measures deve-

Climate Emergency loped so far will not be sufficient, even with carbon

UN SECRETARY-GENERAL ANTONIO GUTERRES capture and storage (CCS). This data means a missing

urged all countries to declare climate emergencies in part in the big puzzle of sustainable decarbonization,

his speech at the Climate Ambition Summit and as- which the Secretary-General alludes to. Current glo-

serted that more must be done to hit net-zero emis- bal warming data has a complete picture of the level

sions (Reuters, 2020Reuters (2020). The source article does not provide a separate full bibliographic entry for this citation.). He explained that global war- of CO2 content in the atmosphere (Figure 1), but ove-

ming has already become an emergency issue, and rall potential solutions are not wholly recognized due

all nations must take action. This is indeed an urgent to today`s limited understanding of the root causes of

issue, but will the wish of the UN Secretary-General CO2 emissions. Figure 1 is sad proof that the wish of

come true? The answer is no, not with today`s me- net-zero carbon will never come true unless a holistic

asures, theory, and understanding being without a picture of the root causes is drawn.

Figure 1. CO2 concentration can hardly stabilize but will not decrease (Hawksworth, 2006Hawksworth (2006). The source article does not provide a separate full bibliographic entry for this citation.)

CO2 Emissions, Humidity, and Ozone (lost opportunities for useful work) must be offset

by someone, somewhere, and most likely by fos- According to the Author, Figure 2 shows the diresil fuels. This causes more “unseen” CO2 emission ct relationships between the climate, atmosphere, from “green power”: global warming, humidity, comfort, and ozone depletion. Consider a green energy system like a wind turbine or PV. Once the electricity is ge- This result shows that although there is not a nerated, it is important to trace downstream how direct CO2 emission source in this example (exit is utilized from an exergy point of view. For cept in manufacturing, installation, etc.), exergy example, if this “green” electric power is used in destructions are responsible for large amounts of an electric radiator for indoor comfort heating at additional emissions, which are almost equal to 20oC (293 K), the unit quality (exergy) of useful the emissions from a natural gas condensing boiwork demand, εdem, for heating may be calculated ler that we can directly measure and see. according to the ideal Carnot cycle:

Here, 273 K (0oC) is the reference environment condition. On the other hand, electricity is a very high-quality energy source with a unit supply exergy, εsup of 0.95 kW/kW. This means that most of the useful work potential of the generated electric power is destroyed:

The exergy rationality of using wind or solar energy in comfort heating will be only 0.07

(0.068/0.95). Figure 2. Climate loop with humidity and temperature

This amount of irreversibly destroyed exergy increase. Drawing belongs to the author, ©2020, B. Kilkis

These additional emissions due to exergy destruc- Figure 4 shows that most of the world is too

tions are unseen and are only revealed in the global humid while some parts are too dry. There are al-

warming temperatures. In other words, these emis- most no places with ideal RH values. For example,

sions are observed in the global warming context Turkey and other countries on the Belt and Road

but remain unexplained and unsolvable unless the are in the humid zone, whereas China is not. The-

exergy concept is recognized by scientists and en- se figures may partly account for the regions where

gineers. the pandemic is strongest. Humidity is related to

According to another research study by the global temperature and CO2 emissions.

Author, which mathematically relates nearly avoidable CO2 emissions to exergy destructions (Kilkis, 2021aKilkis (2021a). The source article does not provide a separate full bibliographic entry for this citation.), for every destroyed exergy, the global temperature is estimated to increase by a rate of 0.256 x 10-13K/kW-h. If, for example, 2 x 1013 kW-h/year is a stable number of annual electric power generation using fossil fuels, it is estimated that exergy utilization rationality in the energy sector will rise to 0.8 in the coming decades; ∆CO2 = 0.256 x 10-13K/kW-h x 2 x 1013 x (1- 0.8) = 0.1 K/year As this estimation shows, the unseen part of emissions is responsible for about 0.1 K global temperature rise, and all decarbonization measures must be revised accordingly by taking into account the exergy destructions. Figure 4. Worldwide relative humidity atlas (H2O, 2021H2O (2021). The source article does not provide a separate full bibliographic entry for this citation.)

Climate Emergency and Virus Infections There are already qualitatively established correlations between the air temperature, humidity, and other adverse weather conditions in addition to the well-known, well-observed air pollution on the anthropogenic side of the equation. Unfortunately, there has been little quantitative modeling about virus infections and the climate emergency elements so far. That is the main reason to develop a mathematical model, which is expected to guide scientists Figure 3. COVID-19 is related to CO2 and relative

humidity. Safest Relative Humidity is 50% (Lowen, towards further understanding the mathematics of

et al., 2007). such a direct link.

Figure 5. Anthropogenic and natural factors on virus infections adopted from: (Copiello & Grillenzoni, 2020Copiello & Grillenzoni (2020). The source article does not provide a separate full bibliographic entry for this citation.)

A Green Building May Not Be COVID-19 Safe 1.7 x 10-4 kg/h, is calculated as follows:

Buildings are both energy-intensive and coronavirus-intensive. We spend about 90%, even more with pandemic isolation measures, of our time On the other hand, for a lignite stove with indoors. Buildings, especially with 100% fresh εsup = 0.8 kW/kW for lignite and an efficiency of air requirements against COVID-19 spread, are 0.35 without any ozone depletion potential (no refresponsible for approximately 45% of total energy rigerants), ∑CO2 is only 0.26 kg CO2/kW-h of heat consumption (Cao, Xilei, & Liu, 2016Cao, Xilei, & Liu (2016). The source article does not provide a separate full bibliographic entry for this citation.; Tokazhasupply. Therefore, although the 1st Law indicates nov, et al., 2020Tokazhasupply. Therefore, although the 1st Law indicates nov, et al. (2020). The source article does not provide a separate full bibliographic entry for this citation.). almost zero CO2 responsibility with COP =3, the Such a high level of energy consumption 2ⁿd Law shows that the nearly avoidable emissions means exceptionally high CO2 emission responresponsibility is 2.5 times. sibilities, and the green energy they may use may not be green, depending upon the energy usage. For example, the Chinese government considers reducing CO2 emissions in cold rural areas by replacing local coal and lignite stoves and boilers with local wind turbines. A preliminary study (Kilkis, 2021bKilkis (2021a). The source article does not provide a separate full bibliographic entry for this citation.) revealed that the direct use of wind energy for heating, even with heat pumps, is not rational as claimed by the 1st Law. The refrigerant leakage from a heat pump also has a ΔCO2 -equivalent ozone depletion effect. For each kW-h of wind electricity supply, the emission responsibility based

on R32 refrigerant with a global warming potenti- Figure 6. Wind-to-Heating in Chinese Projects. Drawing

belongs to the Author, ©2020, B. Kilkis (Kılkış, 2021bKılkış (2021b). The source article does not provide a separate full bibliographic entry for this citation.) al (GWP) of 677 and an assumed leakage rate, L of

recorded; if PM10 µg/m3 averaged over 1 hour is above 300, then the air quality is extremely poor. For example, in Ankara PM10 limits were exceeded 287 days out of 365 days in a year. This value is a clear indication of the severity and urgency of the case.

Figure 7. March 2020 preliminary data for Italy (Setti, et al., 2020Setti, et al. (2020). The source article does not provide a separate full bibliographic entry for this citation.)

Figure 9. PM10 exceedance days in one year in Turkey (Nur, 2018Nur (2018). The source article does not provide a separate full bibliographic entry for this citation.)

Figure 8. Cases per population correlation with daily PM10 exceedance (Setti et al., 2020Setti, et al. (2020). The source article does not provide a separate full bibliographic entry for this citation.)

The Need for the Present Study Figure 10. 50 PM10 µg/m3 exceedances for 2019 (UCTEA Chamber of Enviromental Engineers, 2019UCTEA Chamber of Enviromental Engineers (2019). The source article does not provide a separate full bibliographic entry for this citation.). The importance of such preliminary data is that in many countries, including Turkey, exceedances are According to Figure 10, only the province of high. PM10 means the amount of particulate matter Hakkari does not exceed 50 PM10 µg/m3 more than with diameters less than or equal to 10 micrometers 35 times a year. All other provinces exceed this limit

(0.01 mm) in the air (EPA Victoria, 2021EPA Victoria (2021). The source article does not provide a separate full bibliographic entry for this citation.). It nee- annually, and the limit of 50 PM10 µg/m3 is a qui-

ds to be officially monitored hourly, year-round. A te high value, already corresponding to short-term

good air quality corresponds to less than 40 PM10 unhealthy conditions, especially during the pande-

µg/m3 averaged over 1 hour. WHO limits this value mic period. Grey areas are provinces where measu-

to 20 PM10 µg/m3. Any exceedance over this limit rements are not available for more than 75% of the

has several health risks depending on the amount year.

The Correlation Model

A model was developed based on initial data from Italy about daily COVID-19 cases per thousand people as a function of PM10 and PM2.5. The difficulty in adopting their correlations to CO2 versus COVID-19 cases was their unavailability. Therefore, it was necessary first to establish a relationship between PM values and CO2 emission values. This is the first step in determining all the interrelations among four conflicting factors (Quadrilemma) and six vectors. The rest of the interrelationships are already available, known, or more easily determinable. Recently, the COVID-19 pandemic became a bilateral relative with all of them (See Figure 11). Therefore, it is time to include the concept of “Pandemic Resistant Buildings” to the green metrics under a broadened title of safe buildings. PM is related to CO2 emissions now, which is shown in Figure 12 and the following linear relationship in terms of the average conversion mapping factor,

f . For example, for marine diesel engines, the pro- Figure 11. Quadrilemma of pandemic-resistance

portion of PM2.5 to CO2, namely the f factor, is 0.002 concept against climate emergency (Erten & Kilkis,

2021).

by weight. In coal or lignite-fired power plants, this Drawing belongs to the author, ©2020, B. Kilkis.

ratio is about 0.1. Therefore, as long as fossil fuels will be kept in diminishing use in several sectors, ΔCO2,

which has remained unaccounted for so far, is an im- COVID-19 CASES

portant factor in pandemic risk. An estimate for the factor f may be approximated to be 0.06 by weight. This means that 1 kg ΔCO2 is responsible for an increase of 0.06 kg PM2.5 increase. Depending on the limits of the local maximum number of daily exceedances, the potential COVID-19 case increase per population in that locality may be estimated. For such an endeavor, current medical reports, which are shown in Figures 8 and 9, were used.

Figure 12. NOX emissions exceedance and CO-

{Minimize} VID-19 cases per population, CP. Prepared by the

author from figures 7 and 8, ©2020, B. Kilkis

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Cite this articleAPA 7
Formatted citationAPA 7

Kılkış, B. (2021). The relationship between climate emergency, pandemicsi and buildings: COVID-19 has a vaccine now but climate emergency has not. Belt & Road Initiative Quarterly, 2(3). 61-68

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