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1.
TELKOMNIKA ; 21(1):203-213, 2023.
Article in English | ProQuest Central | ID: covidwho-2164257

ABSTRACT

In mitigating the peak demand, the energy authority in Malaysia has introduced the enhanced time of use (EToU). However, the number of participants joining the programs is less than expected. Due to that reason, this study investigated the investment benefit in terms of electricity cost reduction when consumers subscribe to the EToU tariff scheme. The significant consumers from industrial tariff types have been focused on where the load profiles were collected from the incoming providers' power stations. Meanwhile, ant colony optimization (ACO) and particle swarm optimization (PSO) are applied to optimize the load profiles reflecting EToU tariff prices. The proposed method had shown a reduction in electricity cost, and the most significant performance has been recorded congruently. For a maximum 30% load adjustment using ACO optimization, the electricity costs have been decreased by 10% (D type of tariff), 16% (E1 type of tariff), 9% (E2 kind of tariff), and 1.13% (E3 type of tariff) when compared to the existing conventional tariff. The cost-benefit of the EToU tariff switching has been identified where the simple payback period (SPP) is below one year for all the industrial types of consumers.

2.
Atmospheric Chemistry and Physics ; 22(19):13183-13200, 2022.
Article in English | ProQuest Central | ID: covidwho-2067020

ABSTRACT

Emission inventories are essential for modelling studies and pollution control, but traditional emission inventories are usually updated after a few years based on the statistics of “bottom-up” approach from the energy consumption in provinces, cities, and counties. The latest emission inventories of multi-resolution emission inventory in China (MEIC) was compiled from the statistics for the year 2016 (MEIC_2016). However, the real emissions have varied yearly, due to national pollution control policies and accidental special events, such as the coronavirus disease (COVID-19) pandemic. In this study, a four-dimensional variational assimilation (4DVAR) system based on the “top-down” approach was developed to optimise sulfur dioxide (SO2) emissions by assimilating the data of SO2 concentrations from surface observational stations. The 4DVAR system was then applied to obtain the SO2 emissions during the early period of COVID-19 pandemic (from 17 January to 7 February 2020), and the same period in 2019 over China. The results showed that the average MEIC_2016, 2019, and 2020 emissions were42.2×106, 40.1×106, and 36.4×106 kg d-1. The emissions in 2020 decreased by 9.2 % in relation to the COVID-19 lockdown compared with those in 2019. For central China, where the lockdown measures were quite strict, the mean 2020 emission decreased by 21.0 % compared with 2019 emissions. Three forecast experiments were conducted using the emissions of MEIC_2016, 2019, and 2020 to demonstrate the effects of optimised emissions. The root mean square error (RMSE) in the experiments using 2019 and 2020 emissions decreased by 28.1 % and 50.7 %, and the correlation coefficient increased by 89.5 % and 205.9 % compared with the experiment using MEIC_2016. For central China, the average RMSE in the experiments with 2019 and 2020 emissions decreased by 48.8 % and 77.0 %, and the average correlation coefficient increased by 44.3 % and 238.7 %, compared with the experiment using MEIC_2016 emissions. The results demonstrated that the 4DVAR system effectively optimised emissions to describe the actual changes in SO2 emissions related to the COVID lockdown, and it can thus be used to improve the accuracy of forecasts.

3.
Atmospheric Chemistry and Physics ; 22(18):12705-12726, 2022.
Article in English | ProQuest Central | ID: covidwho-2056005

ABSTRACT

This study investigated the spatiotemporal variabilities in nitrogen dioxide (NO2), formaldehyde (HCHO), ozone (O3), and light-absorbing aerosols within the Greater Tokyo Area, Japan, which is the most populous metropolitan area in the world. The analysis is based on total tropospheric column, partial tropospheric column (within the boundary layer), and in situ observations retrieved from multiple platforms as well as additional information obtained from reanalysis and box model simulations. This study mainly covers the 2013–2020 period, focusing on 2020 when air quality was influenced by the coronavirus 2019 (COVID-19) pandemic. Although total and partial tropospheric NO2 columns were reduced by an average of about 10 % in 2020, reductions exceeding 40 % occurred in some areas during the pandemic state of emergency. Light-absorbing aerosol levels within the boundary layer were also reduced for most of 2020, while smaller fluctuations in HCHO and O3 were observed. The significantly enhanced degree of weekly cycling of NO2, HCHO, and light-absorbing aerosol found in urban areas during 2020 suggests that, in contrast to other countries, mobility in Japan also dropped on weekends. We conclude that, despite the lack of strict mobility restrictions in Japan, widespread adherence to recommendations designed to limit the COVID-19 spread resulted in unique air quality improvements.

4.
IOP Conference Series : Earth and Environmental Science ; 10, 2022.
Article in English | CAB Abstracts | ID: covidwho-2037317

ABSTRACT

Electricity in Bali majorly is supplied by power plants in Java which use fossil-fuelled. With petroleum and coal reserves to run out by 2025, Bali Government has issued Governor Ordinance No. 45/2019 concerning clean energy in encouraging Balinese to use rooftop solar photovoltaic (PV). As backboned tourism industry, Bali has drastically been declining due to COVID-19 causing most hotels and their supporting industries closed, the government then has changed the orientation from urban tourism to rural tourism. This paper proposes rooftop solar PV power plant program in the tourism village representing all 8 regencies and 1 municipality (Sudaji in Buleleng, Catur and others in Bangli, Tenganan in Karangasem, Kerta in Gianyar, Blimbingsari in Jembrana, Paksebali in Klungkung, Bongan in Tabanan, Bongkasa in Badung, and Sanur Kauh in Denpasar). Recent studies show huge potential for solar energy in Bali and the program is aligned with Sustainable Development Goals (Bali SDGs). The study elaborates problems in implementing the program since solar PV is still new and traditions could hinder the people in the tourism village to utilize it. Behaviour approach must be explored to make the program can be successfully done.

5.
Engineering Optimization ; 54(11):1835-1852, 2022.
Article in English | ProQuest Central | ID: covidwho-2037080

ABSTRACT

Coronavirus disease 2019 (COVID-19) has affected many behaviours and aspects of society. Electricity consumption has been considerably affected by the pandemic, with significant effects on the electricity load demand profile. In this article, the impact of COVID-19 on electricity demand in the state of Florida is investigated through a novel machine learning technique. The LSTM technique shows good accuracy in forecasting the load profiles for all days studied (weekdays and weekends) and also before and during the pandemic. The UC problem is solved considering the load profiles, and the impact of COVID-19 on power plant scheduling is evaluated. The simulation results show an increase in residential demand for electricity at weekends, while both residential and commercial demand are reduced during weekdays. Therefore, the operating cost of a weekday in 2020 was lower than that in 2019, while the operating cost of a weekend was higher in 2020 than in 2019.

6.
Atmospheric Chemistry and Physics ; 22(16):10875-10900, 2022.
Article in English | ProQuest Central | ID: covidwho-2025096

ABSTRACT

The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite is a valuable source of information to monitor the NOx emissions that adversely affect air quality. We conduct a series of experiments using a 4×4 km2 Comprehensive Air Quality Model with Extensions (CAMx) simulation during April–September 2019 in eastern Texas to evaluate the multiple challenges that arise from reconciling the NOx emissions in model simulations with TROPOMI. We find an increase in NO2 (+17 % in urban areas) when transitioning from the TROPOMI NO2 version 1.3 algorithm to the version 2.3.1 algorithm in eastern Texas, with the greatest difference (+25 %) in the city centers and smaller differences (+5 %) in less polluted areas. We find that lightningNOx emissions in the model simulation contribute up to 24 % of the column NO2 in the areas over the Gulf of Mexico and 8% in Texas urban areas. NOx emissions inventories, when using locally resolved inputs, agree with NOx emissions derived from TROPOMI NO2 version 2.3.1 to within 20 % in most circumstances, with a small NOx underestimate in Dallas–Fort Worth (-13 %) and Houston (-20 %). In the vicinity of large power plant plumes (e.g., Martin Lake and Limestone) we find larger disagreements, i.e., the satellite NO2 is consistently smaller by 40 %–60 % than the modeled NO2, which incorporates measured stack emissions. We find that TROPOMI is having difficulty distinguishingNO2 attributed to power plants from the background NO2 concentrations in Texas – an area with atmospheric conditions that cause short NO2 lifetimes. Second, the NOx/NO2 ratio in the model may be underestimated due to the 4 km grid cell size. To understand ozone formation regimes in the area, we combine NO2 column information with formaldehyde (HCHO) column information. We find modest low biases in the model relative to TROPOMI HCHO, with -9 % underestimate in eastern Texas and -21 % in areas of central Texas with lower biogenic volatile organic compound (VOC) emissions. Ozone formation regimes at the time of the early afternoon overpass are NOx limited almost everywhere in the domain, except along the Houston Ship Channel, near the Dallas/Fort Worth International airport, and in the presence of undiluted power plant plumes. There are likely NOx-saturated ozone formation conditions in the early morning hours that TROPOMI cannot observe and would be well-suited for analysis with NO2 and HCHO from the upcoming TEMPO (Tropospheric Emissions: Monitoring Pollution) mission. This study highlights that TROPOMI measurements offer a valuable means to validate emissions inventories and ozone formation regimes, with important limitations.

7.
Sustainability ; 14(16):10099, 2022.
Article in English | ProQuest Central | ID: covidwho-2024132

ABSTRACT

The implementation of measures to limit electricity consumption in many provinces of China has caused coal prices to rise irrationally, further aggravating the financing problems of small and medium-sized enterprises in the supply chain. Small and medium-sized enterprises lacking funds cannot effectively participate in the green transformation and development of the coal industry, which slows down the sustainable development process of the coal industry. Under the current background of low-carbon advocacy, blockchain technology can reasonably allocate resources and efficiently process information, thereby providing a solution for this financing problem. This paper first proposes a coal accounts receivable financing model based on blockchain technology, then builds a coal accounts receivable financing system dominated by ports through blockchain technology. Finally, the Stackelberg yield–benefit model is used to analyze the income function of each participant in the process of accounts receivable financing. The results show that the use of blockchain technology can reduce the financing condition of financial institutions and improve the maximum income of cooperative enterprises in the chain while solving the financing problems of small and medium-sized enterprises in the coal supply chain. This study provides practical significance and theoretical value for promoting the transformation and upgrading of coal enterprises and accelerating the opening of the sustainable development model of the coal industry.

8.
Air Qual Atmos Health ; 15(12): 2123-2135, 2022.
Article in English | MEDLINE | ID: covidwho-2014482

ABSTRACT

The COVID-19 outbreak has elicited forced lockdown conditions for all anthropogenic emissions across the globe. It has brought an opportunity for the researchers to sort out the relative contribution of the environmental pollutants which are emerged from the coal-based thermal power plants and other industrial sectors. In countries like India, some industrial sectors and thermal power plants coexist; henceforth, they mutually produce NO2 concentration canopy in the upper atmosphere in raised form. Focusing on this issue, the present work intends to explore the NO2 emission hot-spots' foci using switch-off conditions in consequence of emergency lockdown. Our results indicate that stable ( C V low and NO 2 max ) and large NO2 concentration canopy is noticeable in the inter-state border areas among Chhattisgarh, Bihar, Madhya Pradesh, and Jharkhand (around "Govind Ballabh Part Sagar" reservoir) where a cluster of thermal power plant is located. The "OFF" situation also proposes a close correspondence between the NO2 richness column and installed capacity (R 2 value > 0.7 with 0.0002 p value). States that are situated in the eastern part of the country and megacities like Delhi and Kolkata represent a crucial role in NO2 emission while in certain regions of south India are more or less safe from NO2 emission. As a consequence, the lockdown has created a temporary pollution baseline for tropospheric NO2 that offers research prospects to think of alternate sources of energy that can maintain environmental health as well as human well-being.

9.
Atmospheric Chemistry and Physics ; 22(15):10319-10351, 2022.
Article in English | ProQuest Central | ID: covidwho-1994379

ABSTRACT

The aim of this paper is to highlight how TROPOspheric Monitoring Instrument (TROPOMI) trace gas data can best be used and interpreted to understand event-based impacts on air quality from regional to city scales around the globe. For this study, we present the observed changes in the atmospheric column amounts of five trace gases (NO2, SO2, CO, HCHO, and CHOCHO) detected by the Sentinel-5P TROPOMI instrument and driven by reductions in anthropogenic emissions due to COVID-19 lockdown measures in 2020. We report clear COVID-19-related decreases in TROPOMI NO2 column amounts on all continents. For megacities, reductions in column amounts of tropospheric NO2 range between 14 % and 63 %. For China and India, supported by NO2 observations, where the primary source of anthropogenic SO2 is coal-fired power generation, we were able to detect sector-specific emission changes using the SO2 data. For HCHO and CHOCHO, we consistently observe anthropogenic changes in 2-week-averaged column amounts over China and India during the early phases of the lockdown periods. That these variations over such a short timescale are detectable from space is due to the high resolution and improved sensitivity of the TROPOMI instrument. For CO, we observe a small reduction over China, which is in concert with the other trace gas reductions observed during lockdown;however, large interannual differences prevent firm conclusions from being drawn. The joint analysis of COVID-19-lockdown-driven reductions in satellite-observed trace gas column amounts using the latest operational and scientific retrieval techniques for five species concomitantly is unprecedented. However, the meteorologically and seasonally driven variability of the five trace gases does not allow for drawing fully quantitative conclusions on the reduction in anthropogenic emissions based on TROPOMI observations alone. We anticipate that in future the combined use of inverse modeling techniques with the high spatial resolution data from S5P/TROPOMI for all observed trace gases presented here will yield a significantly improved sector-specific, space-based analysis of the impact of COVID-19 lockdown measures as compared to other existing satellite observations. Such analyses will further enhance the scientific impact and societal relevance of the TROPOMI mission.

10.
31st European Safety and Reliability Conference, ESREL 2021 ; : 336, 2021.
Article in English | Scopus | ID: covidwho-1994249

ABSTRACT

The ongoing COVID-19 crisis renewed scholarly interest in organizational resilience. To ensure resilience, organizations must develop the ability to proactively prepare for ambiguous and unexpected situations (Morel et al., 2008). From this perspective, resilience may be considered as a mindful process leading to reliability (Linnenluecke, 2017) where mindfulness allows to collectively manage stability/vividness tension and extend individual limits of attention (Weick & Sutcliffe, 2006, 2007). A high level of environmental uncertainty increases the risk and may lead to violations of organizational limits (Farjoun & Starbuck, 2007). In addition to the exogenous environmental limits, organizations are affected by the endogenous limits of cognition and managerial control, and also by the non-cognitive factors such as habitus. However, many questions remain. Following a recent call for further research on organizing for resilience (Linnenluecke, 2017, p. 26), the aims of our paper is to explore how the organizational limits restraint the development of mindfulness (foresight and cognition) and how organizations deal with those limits to develop the resilience? We conducted a qualitative case study within a major European nuclear power plant. We wanted to better understand how in a highly controlled and regulated industry managers increase resilience by pushing of organizational limits. Our analysis shows that implemented practices constrained endogenous organizational limits instead of helping to extend them. Our paper highlights the role of mindfulness and attention in building resilience and tensions between managed and regulated safety. The obligation of result (e.g., reliable practice) is in tension with the obligation of means (e.g., procedure to follow). Moreover, our case study illustrates negative effect of organizational context on the extension of the organizational limits. In addition, we enrich the notion of endogenous limits by adding the non-cognitive dimension of habitus of the nuclear energy industry. We believe that a better understanding of organizational limits to develop resilience may offer managers the opportunity to better consider the role of organizational context and to adapt training programs. © ESREL 2021. Published by Research Publishing, Singapore.

11.
Energies ; 15(15):5758, 2022.
Article in English | ProQuest Central | ID: covidwho-1993967

ABSTRACT

Climate change is taking place on a global scale and it is substantially affected by human activity, including increasing greenhouse gas emissions. One of the thematic objectives of EU’s new financial objective is a more environmentally friendly low-emission Europe that promotes clean and fair energy transformation, green investments, and a circular economy, among others. The Polish economy is mainly based on energy production from conventional sources (fossil fuels). Considering that the demand for electricity in Poland is predicted to increase by as much as 50% until 2040, it is necessary to take action aimed at increasing the share of renewable energy sources. The subject of analysis is the Opolskie Voivodeship (a NUTS 2 type region), the capital of which features the biggest Polish coal power plant. In 2014–2019, it was expanded by two units with 1800 MW in total capacity, thereby indicating that investments in energy obtained from conventional sources are still implemented and to a large extent at that (the expansion has been the biggest infrastructural investment in Poland since 1989). The Opolskie region is characterised by substantial excess in acceptable environmental burden (dust pollution, among others). The aim of the paper is to evaluate the key environmental conditions for the Opolskie region’s development in terms of the assumptions of the domestic and EU energy policies. The Opolskie region’s developmental challenges in the environmental area were determined on the basis of selected indicator estimations up to 2030. The research hypothesis assumes that the environmental conditions for the Opolskie region’s development are unfavourable. The methodological part features an analysis of the cause and effect dependencies in the “environment” area, which enabled an assessment of the Opolskie Voivodeship’s current situation as well as an analysis of the dependencies relevant to the region’s development. This was followed by an estimation of selected indicators in the “environment” area until 2030, which allowed for an assessment of their probable levels and thereby a specification of the region’s development conditions. The estimation was conducted using the data available in public statistics, i.e., Statistics Poland’s data. The indicators estimated for 2030 were presented using three forecasting methods: (a) the monotonic trend, (b) the yearly average change rate, and (c) the logarithmic trend.

12.
7th IEEE International conference for Convergence in Technology, I2CT 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1992609

ABSTRACT

Electrical power dispatch at a minimum cost of operation has been a challenging issue for thermal power stations and has research work has been carried out for decades. It has been observed that day by day resources of conventional energy are depleting so, the world is shifting towards renewable energy sources. This paper presents a novel technique COVID-19 Optimizer Algorithm (CVA) for solving the economic load dispatch problem of solar generation systems and thermal generating plants of a power system. The proposed method can be considered for solving the various types of economic load dispatch (ELD) problem considering numerous constraints viz. ramp rate limit & prohibited operating zones. Simulation results proved that the technique proposed performs way better than other modern optimization algorithms both in terms of quality of result obtained as well as computational efficiency. The robust nature of the CVA technique in solving solar integrated ELD problems can be inferred from the results. © 2022 IEEE.

13.
Federalist Debate (16829670) ; 35(2):49-51, 2022.
Article in English | Academic Search Complete | ID: covidwho-1970185

ABSTRACT

The article examines that the covid-19 pandemic and Russian President Vladimir Putin´s aggression to Ukraine have ushered a new era for Europe. Topics include considered this calls for a more proactive European action in different policy fields, such as health, economic and social recovery, foreign policy, defense and security, energy, and migration, among others.

14.
Journal of the Geological Society of India ; 98(7):971-975, 2022.
Article in English | ProQuest Central | ID: covidwho-1943294

ABSTRACT

In the present situation, Covid-19 is considered to be an unbeaten global pandemic. In every single fleeting moment, this SARS-CoV-2 (coronavirus-2) causes greater damage to our life including the physical world including drastic imbalance of the whole economic condition of any country. The lockdown governed in two consecutive years (2020 and 2021) in the world to control the spreading of the virus poses an undue threat to the industrial sectors including the coal mining sectors that determine the economic growth of the country. With these negative impacts of coronavirus-2 in our life, this present review aims to explore some of the positive influences of the Covid-19 pandemic through the restoration of the environmental system which are otherwise not possible. This quantitative review finds that spreading of the Covid-19 pandemic indirectly improves the air and water quality by reducing the number of vehicles, reduces the CO2, NOx, particulate matter, and other polluting gases emission from coal-based power plants through periodical lockdown in the country. Moreover, the lockdown implemented to minimise the spreading of the Covid-19 significantly reduces the coal dust production from the mining and transportation of coal that indirectly reduces environmental pollution.

15.
Sustainability ; 14(13):7640, 2022.
Article in English | ProQuest Central | ID: covidwho-1934219

ABSTRACT

Selecting the best place for constructing a renewable power plant is a vital issue that can be considered a site-selection problem. Various factors are involved in selecting the best location for a renewable power plant. Therefore, it categorizes as a multi-criteria decision-making (MCDM) problem. In this study, the site selection of a wind power plant is investigated in a central province of Iran, Semnan. The main criteria for classifying various parts of the province were selected and pairwise compared using experts’ opinions in this field. Furthermore, multiple restrictions were applied according to local and constitutional rules and regulations. The Analytic Hierarchy Process (AHP) was used to weigh the criteria, and according to obtained weights, wind speed, and slope were the essential criteria. Moreover, a geographic information system (GIS) is used to apply the weighted criteria and restrictions. The province’s area is classified into nine classes according to the results. Based on the restrictions, 36.2% of the total area was unsuitable, mainly located in the north part of the province. Furthermore, 2.68% (2618 km2) and 4.98% (4857 km2) of the total area are the ninth and eightieth classes, respectively, which are the best locations for constructing a wind farm. The results show that, although the wind speed and slope are the most essential criteria, the distance from power facilities and communication routes has an extreme impact on the initial costs and final results. The results of this study are reliable and can help to develop the wind farm industry in the central part of Iran.

16.
Energies ; 15(13):4776, 2022.
Article in English | ProQuest Central | ID: covidwho-1934008

ABSTRACT

In Poland, in 2021, an increase in demand for electricity was recorded, and hard coal and lignite power plants still had a dominant share in its production. Another source of electricity was renewable energy sources (RES), mainly wind farms. Young people in Poland are aware that electricity is not only its production, but also consumption in households. Therefore, it is also essential to properly educate young people, aiming at a cost-effective, sustainable lifestyle, in relation to electricity consumption. The article presents the current state of the electricity generation sector in Poland along with the proposed changes in this respect, in particular in terms of the development prospects for the use of renewable energy sources and the influence of government administration on the production and consumption of electricity. The aim of this research was to broaden the knowledge of young people’s opinions on energy production and consumption. The research results can be used to create long-term directions of energy policy and to build a social attitude of sustainable energy consumption in Poland. The research was non-probabilistic, based on questionnaires, using the CAWI (Computer Assisted Web Interview) technique. The questionnaire was conducted in 2021, and the analysis was made on the basis of 741 correctly completed research questionnaires. The results of the research confirmed the research hypotheses—that the surveyed youth see the need to reduce consumption as a way to counteract climate change and excessive energy consumption. They also expect government support in the energy transformation in Poland, based on a diversified scenario, using both renewable energy sources (RES) and nuclear energy.

17.
Applied Sciences ; 12(13):6331, 2022.
Article in English | ProQuest Central | ID: covidwho-1933957

ABSTRACT

Aerial infrared (IR) thermography has been implemented in recent years, proving to be a powerful and versatile technique for performing maintenance at photovoltaic (PV) plants. Its application speed and reliability using unmanned aerial vehicles (UAVs) or drones make it extremely interesting at large PV plants, due to the associated savings in time and costs. Ground-level thermographic inspection is slower and more costly to apply, although it does provide higher optical resolution, due to being conducted closer to the PV modules being inspected. Both techniques used in combination can improve the diagnosis. An IR thermography inspection strategy is proposed for PV plants based on two stages. The first stage of the inspection is aerial, enabling thermal faults to be detected and located quickly and reliably. The second stage of the inspection is done on the ground and applied only to the most relevant incidents revealed in the first stage. This inspection strategy was applied to a 100 kW PV plant, with an improved diagnosis verified via this procedure, as the ground-level inspection detects one-off thermal incidents from objects creating shade and from solar reflections. For PV modules with open circuits or open substrings, the use of one technique or another is immaterial.

18.
Journal of Small Business and Enterprise Development ; 29(4):627-644, 2022.
Article in English | ProQuest Central | ID: covidwho-1932038

ABSTRACT

Purpose>This research aims to test the relationships between organisational mindfulness, social learning and opportunistic behaviour of small business leaders during the COVID-19 pandemic.Design/methodology/approach>Semi-structured interviews were conducted with six small business leaders from various sectors to explore and better grasp the unprecedented phenomenon. An online survey on small business owners and managers in Indonesia was then employed as the main study, resulting in 291 valid responses for further analysis. The data were analysed using regression on SmartPLS 3.0 software.Findings>This research finds that organisational mindfulness and social learning have positive and significant associations with the ability of small business leaders to discover and exploit opportunities. The path analysis suggests that organisational mindfulness plays a pivotal role as it also partially mediates the relationship between social learning and opportunistic behaviour.Originality/value>This is the first paper to test the relationships between organisational mindfulness, social learning and opportunistic behaviour, particularly in the context of COVID-19 pandemic. This work also contributes by emphasising the critical linkages between internal and external capabilities triggered by small business leaders to survive the pandemic.

19.
IOP Conference Series. Earth and Environmental Science ; 1050(1):012007, 2022.
Article in English | ProQuest Central | ID: covidwho-1931768

ABSTRACT

Indonesia is a country with a tropical climate and has tens of thousands of islands. One of the challenges is that archipelagic countries generally have limited local resources and high energy import costs. Renewable energy technologies in most islands are often not running and are unsustainable due to the many problems involved, one of which is the lack of clarity on management and generating assets. As a result, power plants generally only run for a short time and do not provide electrical energy for the community. In addition to the unavailability of electricity, the COVID-19 virus certainly also affects activities, especially people who rely heavily on the tourism sector as their main livelihood. Therefore, it is necessary to explore how an island could survive in this force majeure situation, both from the sustainability of renewable energy and the tourism sector. This research aims to explain what factors affect the sustainability of renewable energy in supplying electricity to the community in the long term and will present the interrelation between the tourism sector and the presence of renewable energy technology. The method used is an in-depth interview and questionnaire with a Likert scale. The research was conducted on the island of Mecan and the obtained data were simulated in the form of CLD (Causal Loop Diagram). The results indicate that renewable energy sustainability on Mecan Island has made access to electricity available throughout the day and has improved the welfare of residents.

20.
IOP Conference Series. Earth and Environmental Science ; 1046(1):012011, 2022.
Article in English | ProQuest Central | ID: covidwho-1931767

ABSTRACT

The demand for electricity and power has been increasing with the increase of the population of the world. The Covid-19 Pandemic has affected the way of life of human beings starting last year. The pandemic and economic downturn also affected the electricity demand of the world, but this is only short-term. Once the lockdowns around the world ease and back to normal situation begin, demand for power and electricity shall continue to grow. The century-old Rankine cycle has been the basis for power plants widely used today. However, a modified Rankine cycle known as the Kalina cycle has been proving more efficient than the standard Rankine cycle and might be able to provide the additional power needed in medium and low-temperature sources and waste heat recovery. This paper look into the development of the Kalina cycle and the trends that might be of use for the global electricity requirement.

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