Related CO2 Emissions Research Articles

Convergence of CO2 emissions among the selected countries on the Silk Road: evidence from nonlinear panel unit root tests.

This study analyzes the convergence of carbon dioxide (CO2) emissions by examining the stationarity of the relative per capita CO2 emissions of 18 selected countries on the Silk Road for the period 1990-2020. To examine the stationarity of relative per capita CO2 emissions for those 18 countries, we applied a large battery the newly proposed nonlinear panel unit root tests that allow for several forms of state-dependent and time-dependent nonlinearities. We also applied conventional linear panel unit root tests. The linear and nonlinear panel unit root tests account for cross-country dependencies, and the SPSM procedure is applied to these tests in order to see how many countries in the panel sample are converging to the steady state. The test results of linear and nonlinear panel unit root test reveal that the relative per-capita CO2 emissions of 10 out of 18 countries are stationary meaning that the CO2 emissions of these 10 countries converge to the steady-state level over time. Especially, size and sign nonlinearities better capture the convergence dynamics of per capita CO2 emissions towards the steady-state level for seven countries.As we have foundthat 56% of countries' per capita CO2 emissions are converging, this result has important policy implications.

Energy consumption, structural transformation and related carbon dioxide emissions of rural households on the Tibetan plateau

The use of solid fuels presents a dual challenge for rural household energy systems: transitioning to cleaner energy sources while reducing carbon dioxide (CO2) emissions. Particularly in the Tibetan Plateau (TP), which is highly sensitive to global climate change, addressing rural household energy consumption, structural changes, and related CO2 emissions is crucial for implementing targeted measures. Based on household-level survey data, this study analyzes the quantitative and structural changes in energy consumption patterns among rural households on the TP from 2001 to 2021, as well as their related CO2 emissions. The results indicate that: (1) Yak dung is the primary fuel for rural households on the TP and a major contributor to direct household emissions. (2) While cooking has shifted considerably towards a modern clean energy structure, heating continues to rely on solid fuels such as firewood, yak dung, and coal. (3) Commercial energy used by high-income groups for agriculture, transportation, and other purposes has resulted in an overall increase in total household energy consumption and related CO2 emissions. Policymakers must implement more effective measures to accelerate the transition to cleaner, modern energy sources for heating and cooking purposes.

Carbonate Electrolysis for Energy Efficient Direct Air Capture of CO2

Yearly global energy related CO2 emissions continue to increase, reaching a record breaking 37 billion metric tons in 2022. As a major greenhouse gas, CO2 levels need to be reduced by 10s of gigatons to prevent the worst of climate change, something that is no longer feasible with net-zero emissions alone. Removing atmospheric CO2 is therefore of critical importance for the future of our planet. While major improvements have been made in CO2 capture from large point sources, a significant portion of CO2 emitted each year from the United States comes from distributed sources such as cars and smaller factories. Due to the dilute concentrations of CO2 in ambient air, Direct Air Capture (DAC) needs to be highly selective to preferentially absorb CO2 to collect useable amounts. These challenges have made current DAC systems quite costly, both energetically and economically, and require vastly different strategies than carbon capture from concentrated sources.At Giner, we are developing a novel process for the capture and regeneration of CO2 from air into a purified, concentrated CO2 stream that can be redirected as a feedstock for a wide range of applications, including chemical manufacturing and syngas formation. This process involves the capture of CO2 in a concentrated KOH solution using a high-surface area air contactor to form potassium carbonate. The potassium carbonate is then efficiently electrolyzed in a hydrogen-assisted process to regenerate the CO2 at a low operating potential, increasing the electrical efficiency of the process while producing concentrated and purified CO2. In addition, water, hydrogen, and KOH are also regenerated as byproducts that can be recycled back into the CO2 capture and electrolysis processes, reducing both overall energy and chemical consumption.Giner has developed a unique 3-compartment carbonate electrolysis flow cell. Using our electrolyzer, we have seen operating voltage as low as 1.2 V at 100 mA/cm2 in a 5 cm2 cell for potassium carbonate conversion to CO2 with H2 assisted electrolysis. Significant improvements in operating voltage have come from optimization of gas-diffusion layers (GDLs), cell geometry, and membrane selection. Furthermore, we have achieved >97% pure CO2 formation in the internal flow-through compartment. Currently, scale-up is in progress to apply these developments to approach comparable conditions in a 50 cm2 multi-cell stack. Further developments will enable pairing with an in-house, carbonate based, air contactor allowing for capture and regeneration of over 1 ton CO2 per year. Acknowledgement: The project is financially supported by the Department of Energy's ARPA-E Office under the Grant DE-AR0001495

Thermal activation of illitic-kaolinitic mixed clays

AbstractThe thermally activated clay minerals are well-known as perspective supplementary cementing materials (SCMs) able to reduce the Portland clinker consumption and thus also the related CO2 emissions. The best SCM performance among clay minerals is provided by thermally activated kaolin (metakaolin). Nevertheless, kaolinitic clays are not available everywhere, while varying mixed clays can be considered as globally affordable raw materials. The present work deals with the thermal activation of four illitic-kaolinitic clays with varied content of clay minerals, quartz and calcite, available locally in the Czech Republic. The attainment of activation was evaluated with the help of mechanical strength and the saturated lime test. There is no doubt that kaolin is the best clay for SCM production. However, the activation of mixed illitic-kaolinitic clays at 600 °C provided comparable and sufficient performance, despite that the crystal structure of illite was not completely decomposed. The non-clay minerals presence did not reduce the activity either; even the clay containing just about 50% of clay minerals (mostly illite) treated at 650 °C provided sufficient mechanical performance. As the drawback of activated illitic clays must be considered their higher sensitivity to the proper calcination temperature compared to metakaolin since illite (and other 2:1 clay minerals) does not form any metastable dehydroxylated phase.

Indonesia's contribution to global carbon flows: Which sectors are most responsible for the emissions embodied in trade?

Motivated by recent developments in global carbon policies, such as the carbon border adjustment mechanism (CBAM) in Europe and carbon pricing in Indonesia, this paper elaborates on CO2 emissions embodied in products entering and leaving Indonesia and identifies carbon-intensive sectors responsible for carbon leakage. This was performed by using global multi-regional input-output analysis and consumption-based accounting (CBA) - production-based accounting (PBA) ratio. In 2016, the annual CO2 emissions embodied in Indonesia's exports and imports were 114 and 95 Mt. CO2, respectively. Considering final demand only, these values reduce to 32 and 22 Mt. CO2 or 0.9 and 0.6 % of total CO2 emissions in global trade, respectively. The electrical and machinery sector makes up the most CO2 emissions in Indonesian exports. In terms of per USD, metal products and petroleum, chemical and non-metallic mineral products are among the most carbon-intensive sectors, thus likely to be affected by the CBAM policy. Furthermore, Indonesia's emissions under CBA were slightly lower than PBA, indicating that minor carbon leakage occurred in 2016, but this is subject to uncertainty. Assessing the relative CO2 emissions of various economic sectors is suitable for manufacturing goods whose processes are typically dominated by fossil combustion. However, this is not the case for the agriculture sector as its carbon footprint values are underestimated due to the exclusion of land use, land use change, and forestry emissions. Overall, our findings can serve as a baseline to further explore how a transition towards a low-carbon economy in Indonesia could improve global-trade carbon balances.

Does energy transition reduce carbon inequality? A global analysis.

Energy transition from fossil fuels to renewables is instrumental in mitigating climate change. Low-income countries have a higher share of renewable energy in their total energy consumption than rich countries (WDI, 2023). Thus, it is imperative to examine the role of energy transition in affecting relative CO2 emissions between rich and poor sections of the societies across income groups of the countries. In this context, our study contributes by constructing the carbon inequality models with renewable and non-renewable energy consumption as prime explanatory variables separately for 114 countries over a data period 1990-2019. The models are estimated individually for high-middle-low-income countries by controlling for foreign direct investment (FDI), economic growth, and innovations. Starting with preliminary econometric operations, we employ the dynamic simulated panel autoregressive distributed lag approach and Driscoll-Kraay standard error regression for empirical investigation. We find that energy transition reduces carbon inequality globally. Innovation has a negative impact, economic growth has a positive impact on carbon inequality, and FDI has an asymmetric impact based on the income level of the countries. The crucial global policy implications are discussed.

Combined Supercritical CO2 Brayton Cycle and Organic Rankine Cycle for Exhaust Heat Recovery

Abstract In order to reduce energy consumption and related CO2 emissions, waste heat recovery is considered a viable opportunity in several economic sectors, with a focus on industry and transportation. Among different proposed technologies, thermodynamic cycles using suitable organic working fluids seem to be promising options, and the possibility of combining two different cycles improves the final recovered energy. In this paper, a combination of Brayton and Rankine cycles is proposed: the upper cycle has supercritical carbon dioxide (sCO2) as its working fluid, while the bottomed Rankine section is realized by an organic fluid (organic Rankine cycle (ORC)). This combined unit is applied to recover the exhaust energy from the flue gases of an internal combustion engine (ICE) for the transportation sector. The sCO2 Brayton cycle is directly facing the exhaust gases, and it should dispose of a certain amount of energy at lower pressure, which can be further recovered by the ORC unit. A specific mathematical model has been developed, which uses experimental engine data to estimate a realistic final recoverable energy. The model is able to evaluate the performance of each recovery subsection, highlighting interactions and possible trade-offs between them. Hence, the combined system can be optimized from a global point of view, identifying the most influential operating parameters and also considering a regeneration stage in the ORC unit.

Predicting Future Trends of Terrestrial Dissolved Organic Carbon Transport to Global River Systems

AbstractA fraction of CO2 uptake by terrestrial ecosystems is exported as organic carbon (C) through the terrestrial‐aquatic continuum. This translocated C plays a significant role in the terrestrial C balance; however, obtaining global assessments remains challenging due to the predominant reliance on empirical approaches. Leaching of dissolved organic C (DOC) from soils to rivers represents an important fraction of this C export and is assumed to drive a large proportion of the net‐heterotrophy of river systems and the related CO2 emissions. Using the model JULES‐DOCM, we projected DOC leaching trends over the 21st century based on three scenarios with high (RCP 2.6), intermediate (RCP 4.5), and low (RCP 8.5) climate mitigation efforts. The RCP 8.5 scenario led to the largest DOC leaching increase of +42% to 395 Tg C yr−1 by 2100. In comparison, RCP 2.6 and RCP 4.5 led to increases of 10% and 21%, respectively. Under RCP 8.5, the sub‐tropical zone showed the highest relative increase of 50% above current levels. In the boreal and tropical zones, the simulations revealed similar increases of 48% and 41%, respectively. However, given the pre‐eminence of the tropics in DOC leaching, the absolute increment is markedly substantial from this region (+59 Tg C yr−1). The temperate zone displayed the lowest relative increase with 35%. Our analysis identified the rising atmospheric CO2 concentration and its fertilizing effect on terrestrial NPP as the main reason for the future increase in DOC leaching.

Managing the low carbon transition pathways through solid waste electricity

The potential of solid waste as an energy source is clear, owing to its wide availability and renewable properties, which provide a critical answer for energy security. This can be especially effective in reducing the environmental impact of fossil fuels. Countries that rely heavily on coal should examine alternatives such as electricity from solid waste to provide a constant energy supply while also contributing to atmospheric restoration. In this regards, Low Emissions Analysis Platform (LEAP) is used for simulation the entire energy system in Pakistan and forecasted its capital cost and future CO2 emissions in relation to the use of renewable and fossil fuel resources under the different growth rates of solid waste projects like 20%, 30% and 40% for the study period 2023–2053. The results revealed that, 1402.97 TWh units of energy are generated to meet the total energy demand of 1193.93 TWh until 2053. The share of solid waste based electricity in total energy mix is increasing from a mere 0.81% in 2023 to around 9.44% by 2053 under the 20% growth rate, which then increase to 39.67% by 2053 under the 30% growth rate and further increases to 78.33% by 2053 under the 40% growth rate. It is suggested that 40% growth rate for solid waste based electricity projects is suitable for Pakistan until 2053 because under this condition, renewable sources contributes 95.2% and fossil fuels contributed 4.47% in the total energy mix of Pakistan. Hence, CO2 emissions are reduced from 148.26 million metric tons to 35.46 million metric tons until 2053 but capital cost is increased from 13.23 b$ in 2023 to 363.11 b$ by 2053.

A System and Method for Retrieving Energy Potential through Irrigation Gate of an Agricultural Dependent Hydro Power Plant

The modern economics depends on the electrical energy and the share of decarburized electrical energy is the base of 2050 net zero emission targets. Non-fossil fuel and fossil fuel energy resources are the integral part of net zero energy system. The net zero emission activities are affected by increasing demand of electricity and its related CO2 emission in 2021. The contribution of 41.4% of renewable energy as compared to 56.8% of non-renewable energy in the year of 2023 at national level necessities attention of green sources of energy like solar, wind, hydro, waste to energy, small hydropower, etc. Hydropower is one of the reliable backbones of clean energy system which should be used effectively for power generation. The turbine dependent hydropower plant of 45-60 years old requires renovation, modernization, uprating and digitization (RMUD) to resolve socio-economic concerns and increasing demands. This scenario imposes the need of finding solution in existing hydropower plant than investing on new unit. Both high and low discharge should be potentially used for power generation to improve the capacity factor of the plant. Therefore, present work focusses on improving capacity factor of an existing agricultural dependent hydro power plants having reaction type turbine. Reaction turbines operates at high flow and low/medium head conditions. The operational conditions of low flow and low head for reaction turbines may lead to noise, vibration and directed to major catastrophic failure of turbines. There is a need of utilizing the energy potentials balancing power generation and irrigation even during low flow releases. Thus, this paper is an attempt to a design and develop a modified irrigation gate with sliding gate and mini hydropower system at the inlet of existing irrigation diversion gate. Stochastic nature of flows through different hydraulic structures is to be addressed by this modification. A case study of an irrigation dependent hydropower plant Dhom (2X1 MW), MAHAGENCO, Satara, Maharashtra having TWO irrigation gates have been considered. In addition to 2MW, the suggested design can generate 680kW by average irrigation releases of 2.47m3/sec through each gate. The suggested model can be used on any hydropower plant and canal locations.

Giga-ton and tera-watt scale challenges at the energy - climate crossroads: A global perspective

Energy related CO2 emissions from fossil fuels constitute nearly 80 % of the global greenhouse gas emissions and are largely responsible for effecting climate change. There is imminent need to reduce emissions and decarbonize the energy economy. Renewables and nuclear are the only carbon-free energy options. However, the pace of renewable deployment lags the rate needed to achieve net-zero by 2050. Also, fossil fuels are expected to continue to dominate the energy landscape into the foreseeable future.Built on these hypotheses, this article presents a global perspective on the multitude of giga-ton and tera-watt challenges in addressing energy security and climate change. It advocates a multi-prong strategy for a smooth transition into a sustainable future. This includes abandoning air-based combustion of fossil fuels in favor of advanced oxygen-based conversion technologies, expanding energy storage capacities to accelerate the penetration rate of renewables, universally pricing emissions, and rapidly deploying carbon capture technologies at massive scale. It also argues that decarbonization must prioritize zero-carbon output over zero-carbon input during this transition period. Accordingly, the article offers several oxygen-based technology options for cleaner utilization of fossil fuels including fuel cells for power generation and storage as well as downhill production of blue hydrogen.

Paying the piper for the Green Transition? Perceptions of unfairness from regional employment declines in carbon-polluting industrial sectors

ABSTRACT I study if industrial decarbonisation yields elevated perceptions of political and economic unfairness. Decarbonising industry is central for the Green Transition, but it will disproportionately affect regions where brown sectors, which have been made uncompetitive, are concentrated. I contribute to studies on political consequences of the Green Transition by exploring perceived unfairness as one outcome from these uneven effects. In regions where industrial decarbonisation and employment declines in brown sectors have been greater than in other regions, residents may feel that they have disproportionately borne the economic costs of industrial decarbonisation for their country, and may consider their governments to have neglected their interests. I test these expectations in 60 West European regions using past (2013–2018) employment and CO2 emissions trends from the three most carbon-polluting sectors, as proxies for industrial decarbonisation accompanied by employment declines in brown sectors, and combined them with micro-level data from the European Social Survey (2018). I find that regions exhibit elevated perceptions of economic and political unfairness only when they experience both relative CO2 emissions and employment decline in these sectors. As perceived unfairness underpins some of the political discontent observed today, this finding highlights the need for Green Transition policies that minimise labour market disruptions.

Electricity cost and CO2 savings potential for chlor-alkali electrolysis plants: Benefits of electricity price dependent demand response

Chlor-alkali electrolysis plays a significant role in Germany's electricity demand, with a share of >2%. It offers a promising avenue for leveraging demand response strategies. In times of escalating electricity prices, load shifting can help to maintain economic competitiveness of domestic industries. This study aims to assess the potential for electricity cost savings and related CO2 emission reductions through optimal load shifting practices for chlor-alkali electrolysis, considering both current and projected future electricity prices. The research employs the mixed-integer energy system modeling framework IRPopt to model and optimize a chlorine value chain under various scenarios. A sensitivity analysis is conducted to identify the primary factors driving electricity cost savings. The findings reveal that, based on the 2019 electricity price distribution (before pandemic and energy crisis), load shifting can yield electricity cost savings of 5.8% and CO2 emission reductions of 2.7%. As the share of variable renewable energy sources increases along with other driving factors, the electricity price spread is projected to rise from 28% in 2019 to an average of 87% in 2040 scenarios. Consequently, electricity cost savings rise up to 22% and CO2 emission reductions up to 10%. The primary drivers behind electricity cost savings include electricity price spreads and the utilization and operating range of the electrolyzer. In addition to the business-level advantages, the resulting decrease in residual load and lower CO2 emissions contribute to the integration of variable renewable energy sources and the achievement of decarbonization targets at the economic level.

A multi-region analysis on drivers of energy related CO2 emissions in India from 2013 to 2021

As the world's most populous country and the second largest emerging economy, India has become the third largest CO2 emitter in the world for many years. While India has proposed to achieve carbon neutrality target by 2070, previous studies have not systematically investigated factors that influence national and regional CO2 emissions. Thus, we decompose energy related CO2 emissions at national and regional levels based on the panel data of 32 states during the period 2013–2021 using Logarithmic Mean Divisibility Index (LMDI) method and disclose the different driving mechanisms of energy related CO2 emissions across five regions in India. Results show that, the economic output effect majorly promotes national and regional energy related CO2 emissions, followed by the energy structure effect and the population size effect. However, the energy intensity effect and industrial structure effect obviously inhibit national and regional CO2 emissions. Additionally, the population distribution effect inhibits energy related CO2 emissions at the national level (−4.67%), while this effect on regional emissions varies. For instance, the population distribution effect promotes energy related CO2 emissions in the densely populated northern and western regions (2.04% and 0.12%, respectively), but inhibits emissions in the sparsely populated southern, eastern, and northeastern regions (−33.97%, −8.15% and − 1.18%, respectively). Our results suggest that formulation of appropriate economic and population growth plan specifically for India's northern and western states as well as improvements of national and regional industrial structure and energy use structure would be needed.

Exploration of microbial signature and carbon footprints of the Nilgiri Hill Region in the Western Ghats global biodiversity hotspot of India

Land use change (LUC), alters the multifarious biodiversity hotspots directly and indirectly through the loss of soil quality. A comparative study on soil carbon status and soil microbiome in undisturbed natural forest ecosystems with that of other land uses which gradually altered over time can serve as a suitable indicator for understanding LUC impact on carbon cycles. With this aim, the current investigation was initiated to infer the cyclic effects of LUC on the soil carbon status under six major ecosystems viz., cropland (CL), deciduous forest (DF), evergreen forest (EF), forest plantation (FP), scrubland (SL) and tea plantation (TP) of the Nilgiri Hill Region (NHR) (India's first biosphere reserve). The total organic carbon (TOC) and carbon stocks were highest in evergreen forest (10.25 %, 322.06 t ha−1) and they decreased with increasing depth of the soil profile across the pools of varying carbon lability. The proportion of active carbon pools (AP) in total carbon was higher in crop land and tea plantation (57.47 %, 58.38 %), however, in the case of evergreen forest, deciduous forest, forest plantation and scrub land the passive carbon pools (PP) (54.99 %, 61.28 %, 59.43 % and 60.70 %) was higher. We discovered LUC has altered the proportion of soil carbon pools, and the efficiency of soil microbiome and has resulted in higher carbon dioxide (CO2) emissions in tea plantation (71.87 t ha−1) and crop land (82.39 t ha−1). However, the native ecosystems (evergreen forest and deciduous forest) with higher recalcitrant carbon pools (46.96 g kg−1 and 34.89 g kg−1) prevent such carbon degradation and thereby hinder the soil carbon emissions as recorded in evergreen forest (48.43 t ha−1) and deciduous forest (56.47 t ha−1). Conclusively, our study demonstrates that LUC has substantially influenced the carbon cycle by altering the carbon stocks and CO2 emissions in relation to soil microbes. Henceforth, in order to maintain carbon footprints and attain carbon net neutrality under the current climate change scenario, suitable carbon management measures must be implemented in carbon-degraded ecosystems (crop land and tea plantation) of NHR.

Surface Activated Pyrolytic Carbon Black: A Dual Functional Sustainable Filler for Natural Rubber Composites.

The significant rise in end-of-life tires (ELTs) globally poses immediate environmental and human health risks. Therefore, to promote ELTs recycling and to reduce tire industry carbon emissions, herein we present a facile approach for fine-tuning the interfacial interactions between pyrolytic carbon black (P-CB) obtained from ELTs and natural rubber (NR) matrix using phosphonium-based ionic liquid (PIL). The reinforcing effect of PIL-activated P-CB was studied by replacing the furnace-grade carbon black (N330-CB) with varying PIL and P-CB loadings. Adding PIL improved the filler dispersion and the cross-linking kinetics with a substantially reduced zinc oxide (ZnO) loading. Considering the cross-linking and viscoelastic properties, it was concluded that the composite, P-CB/N330-CB-PIL (1.5)+ZnO (1) with half substitution of N330-CB with P-CB synergistically works with 1.5 phr PIL and 1 phr of ZnO resulting in improved dynamic-mechanical properties with a minimal loss tangent value at 60 °C (tanδ=0.0689) and improved glass transition temperature (Tg =-38 °C) compared to control composite. The significant drop (~29 % lower) in tanδ could reduce fuel consumption and related CO2 emissions. We envisage that this strategy opens an essential avenue for "Green Tire Technology" towards the substantial pollution abatement from ELTs and reduces the toxic ZnO.

Driving factors of energy related CO2 emissions at a regional level in the residential sector of Iran

Iran has increased its CO2 emissions significantly during the past few decades. The household sector in Iran contributes one of the largest sectors of CO2 emissions. Despite this significant contribution, the existing policies have predominantly concentrated on large-scale initiatives while overlooking the regional role in shaping and implementing these plans. Therefore, this study investigates the relationship between CO2 emissions and the efficient factors in three major groups including energy, climate, and household socio-economic factors. This study aims to address regional carbon emissions and develop CO2 reduction policies tailored to each region's specific circumstances. It focuses on planning strategies at the regional level to effectively tackle CO2 emissions. Household panel data of 28 provinces of Iran are employed by using both static and dynamic panel models for the years 2001 to 2019. Static estimation includes Fixed Effect (FE), Random Effect (RE) and pooled Partial least squares (PLS), Dynamic estimation includes difference Generalized Method of Moments (GMM) and system Generalized Method of Moments (GMM). The empirical result of the static method showed positive dependence of household CO2 emissions on Heating Degree Days (HDD), Cooling Degree Days (CDD), precipitation level, oil consumption, gas consumption, household income, size of household, and also building stocks. In more detail, educational rate, dummy variable (removal of energy subsidy), and oil price reveal the greatest negative impact on the emissions with elasticities of − 0.428, − 0.31, and − 0.15; It represents 1% increase causes − 0.428, − 0.31, − 0.15, decrease CO2 emissions, respectively. however, household size, gas consumption, and oil consumption show the most significant positive effects on CO2 emissions with 1 percent increase causes CO2 emissions increases by 0.1, 0.044, and 0.026, respectively. Regarding the impact of climate factors, a 1% increase in Heating Degree Days, Cooling Degree Days, and precipitation level causes CO2 emissions increase by 0.024%, 0.004%, and 0.011% respectively, due to an increase in fossil energy demand. Results of the dynamic method of the system Generalized Method of Moments are similar to the static estimation results, except for that household size and urbanization are not significant. Also, removing the energy subsidy for fossil fuels due to substantial subsidy in fossil fuels in Iran or implementing a re-pricing energy policy can be a beneficial way to control carbon emissions from households within the provinces of the country. However, it is important to consider that this shift could potentially transfer subsidies to investments in the private sector for renewable energies.

Impact of building integrated photovoltaics on high rise office building in the Mediterranean

Building integrated photovoltaics (BIPV) presents a great opportunity for decreasing building energy demand and related CO2 emissions, specially in the refurbishment of old isolated high rise highly glazed office buildings. This article presents a simulation study of the impact of BIPV on a Spanish office building of the 60’s, aiming to serve as a reference for this type of buildings in the Mediterranean region. Upgrade of the envelope with BIPV is evaluated. The solutions for the glazing system include conventional solar control window and a transparent photovoltaic prototype window. On the opaque part, commercial BIPV is considered. A comprehensive model integrating the BIPV impact in walls in windows for the thermal, electrical and daylighting is presented. Dynamic simulations carried out with TRNSYS software allow to evaluate the impact on daylighting, energy demand and economics. The results show that transparent BIPV reduced the energy demand by 6.9% and the total energy balance by 21%. The opaque BIPV further improved these results achieving a 38.3% reduction in the energy balance. Moreover, transparent BIPV also reduces the hours with excessive daylighting, although at the cost of reduced daylighting autonomy. The economic analysis highlights the importance of electricity pricing schedules in the promotion of BIPV, comparing current tariff structure in Spain and the duck chart from California Independent Operator. Results show the capabilities of this technology and provides guidelines for investment cost and efficiency targets.

Графическое исследование показателей энергетической эффективности потребления топливно-энергетических ресурсов странами мира

The article is devoted to the comparative study of the energy characteristics of countries around the world, which is based on the construction of graphic maps of energy characteristics. The article presents the author’s maps of the energy intensity and electrical capacity of GDP by PPP of the countries of the world, the energy intensity and electrical capacity of per capita GDP by PPP of the countries of the world, a map of per capita energy consumption and electricity consumption in various countries of the world, and a map of the characteristics of CO2 emissions in various countries of the world, with the distribution of characteristics along the axes of GDP per capita and per capita electricity consumption. The materials analyze the results of the constructed maps and draw appropriate conclusions. Based on the maps of the energy intensity and electrical intensity of GDP by PPP of the countries of the world, conclusions are drawn about the high differences in the level of energy efficiency of the economies of different countries of the world, both in terms of total consumption of fuel and energy resources and electric energy, in particular. The constructed map of the energy intensity and electrical intensity of per capita GDP by PPP in various countries of the world makes it possible to group countries by indicators of energy efficiency of electricity consumption, taking into account the scale of economic development per capita. The identified country groups make it possible to carry out a subsequent analysis of the energy and economic characteristics of individual countries, to identify common features, and to develop principles, mechanisms, and methods of managing the economy and energy facilities of countries, taking into account the identified features. The map of per capita energy consumption and electricity consumption in various countries of the world presented in the materials made it possible to clearly identify that the indicators of per capita energy consumption and electricity consumption of the countries of the world are proportional. The article presents a map of the characteristics of CO2 emissions from different countries of the world, reflecting the distribution of countries relative to each other in terms of relative CO2 emissions, which allows us to clearly identify a significant difference in carbon dioxide emissions, which indicates a difference in the characteristics of the efficiency of consumption of fuel and energy resources. The results obtained make it possible to perform a subsequent grouping of countries with the identification of common features as well as the development of differentiated directions of energy policy aimed at effective economic development.

How climate change may shift power demand in Japan: Insights from data-driven analysis

The impact of climate change on power demand in Japan and its related CO2 emissions is a matter of concern for the Japanese authorities and power companies as it may have consequences on the power grid, but is also of global importance as Japan is a significant contributor to global greenhouse gas emissions. In this study, we trained random forest models against daily power data in ten Japanese regions and for different types of power generation to project changes in future power production and its carbon intensity. We used climate variables, heat stress indices, and one variable for the level of human activities. We then used the models trained from the present-day period to estimate the future power demand, carbon intensity, and pertaining CO2 emissions over the period 2020–2100 under three Shared Socioeconomic Pathways (SSPs) scenarios (SSP126, SSP370, and SSP585). The impact of climate change on CO2 emissions via power generation shows seasonal and regional disparities. In cold regions, a decrease in power demand during winter under future warming leads to an overall decrease in power demand over the year. In contrast, the decrease in winter power demand in hot regions can be overcompensated by an increase in summer power demand due to more frequent hot days, resulting in an overall annual increase. From our regional models, power demand is projected to increase the most in most Japanese regions in May, June, September, and October rather than in the middle of summer, as found in previous studies. This increase could result in regular power outages during those months as the power grid could become particularly tense. Overall, we observed that power demand in regions with extreme climates is more sensitive to global warming than in temperate regions. The impact of climate change on power demand induces a net annual decrease in CO2 emissions in all regions except for Okinawa, in which power demand strongly increases during the summer, resulting in a net annual increase in CO2 emissions. However, climate change's impact on carbon intensity may reverse the trend in some regions (Shikoku, Tohoku). Additionally, we assessed the relative impacts of socioeconomic factors such as population, GDP, and environmental policies on CO2 emissions. When combined with these factors, we found that the climate change effect is more important than when considered individually and significantly impacts total CO2 emissions under SSP585. The contrasting results observed in the warm and cold regions of Japan can offer valuable insight into the potential future variations in energy demand and resulting CO2 emissions on a global scale.