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1.
"Studia Universitatis ""Vasile Goldis"" Arad Seria stiinte economice" ; 33(1):1-27, 2023.
Article in English | ProQuest Central | ID: covidwho-2198346

ABSTRACT

In this article, we tackle the complex relationship between a triangle assessment: energy companies, investment portfolios, and the energy consumption sector. The first objective of this paper was to underline several important features of oil price evolution in the pandemic period, with a special focus both on the 2020 and 2022 periods, in order to reveal some aspects of new passengers' cars registered, and some important energy sources worldwide. Second, it is highlighted several important features of energy-listed companies on the Bucharest Stock Exchange and of oil prices upon different operators. Third, we analyze important aspects of the influence of the crises regarding the energy industry and several important evolutions upon the stock market. The main findings of this study reveal the nexus between oil shock prices, the energy industry, and the stock market with an empirical focus on constructing an optimal investment portfolio' by considering several consumption sectors. Future research on this topic will encounter consequently comparisons between several business models of different types of sectors.

2.
Energy Informatics ; 5, 2022.
Article in English | Scopus | ID: covidwho-2196542

ABSTRACT

When the Indian government declared the first lockdown on 25 March 2020 to control the increasing number of COVID-19 cases, people were forced to stay and work from home. The aim of this study is to quantify the impact of stay-at-home orders on residential Air Conditioning (AC) energy and household electricity consumption (excluding AC energy). This was done using monitored data from 380 homes in a group of five buildings in Hyderabad, India. We gathered AC energy and household electricity consumption data at a 30-min interval for each home individually in April 2019 and April 2020. Descriptive and inferential statistical analysis was done on this data. To offset the difference in temperatures for the month of April in 2019 and 2020, only those weekdays were selected where the average temperature in 2019 was same as the average temperature in 2020. The study establishes that the average number of hours the AC was used per day in each home increased in the range 4.90–7.45% depending on the temperature for the year 2020. Correspondingly, the overall AC consumption increased in the range 3.60–4.5%, however the daytime (8:00 AM to 8:00 PM) AC energy consumption increased in the range 22–26% and nighttime (8:00 PM to 8:00 AM) AC energy consumption decreased by 5–7% in the year 2020. The study showed a rise in household electricity consumption of about 15% for the entire day in the year 2020. The household electricity consumption increased during daytime by 22- 27.50% and 1.90- 6.6% during the nighttime. It was observed that the morning household electricity peak demand shifted from 7:00 AM in 2019 to 9:00 AM in 2020. Conversely, the evening peak demand shifted from 9:00 PM in 2019 to 7:00 PM in 2020. An additional peak was observed during afternoon hours in the lockdown. © 2022, The Author(s).

3.
IEEE Sensors Journal ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-2192001

ABSTRACT

Wireless sensor networks (WSNs) are composed of a large number of spatially distributed sensor nodes to monitor and transmit information from the environment. However, the batteries used by these sensor nodes have limited energy and can not be charged or replaced due to the harsh deployment environment. This energy limitation will seriously affect the lifetime of the network. Therefore, the purpose of this research is to reduce energy consumption and balance the load of sensor nodes by clustering routing protocols, so as to prolong the lifetime of the network. Firstly, the coronavirus herd immune optimizer is improved and used to optimize the network clustering. Secondly, the cluster heads are selected according to the energy and location factors in the clusters, and a reasonable cluster head replacement mechanism is designed to avoid the extra communication energy consumption caused by the frequent replacement of cluster heads. Finally, a multi-hop routing mechanism between the cluster heads and the base station is constructed by Q-learning. Simulation results show that the proposed work can improve the structure of clusters, enhance the load balance of nodes, reduce network energy consumption and prolong the network lifetime. The appearance time of the first energy-depleted node is delayed by 25.8%, 85.9% and 162.2% compared with IGWO, ACA-LEACH and DEAL in the monitoring area of 300m ×300m, respectively. In addition, the proposed protocol shows better adaptability in varying dynamic conditions. IEEE

4.
Journal of Risk Finance ; 2022.
Article in English | Web of Science | ID: covidwho-2191561

ABSTRACT

PurposeThe mining process is essential in cryptocurrency networks. However, it consumes considerable electrical energy, which is undoubtedly harmful to the environment. In response, energy-conserving cryptocurrency projects with reduced energy requirements or based on renewable energies have been developed. Recently, the COVID-19 pandemic and the Russian invasion of Ukraine ignited an unprecedented upheaval in financial products, especially in cryptocurrency and energy markets. Therefore, the paper aims to explore the response of these energy-conserving cryptocurrencies to the COVID-19 pandemic and the Russia-Ukraine conflict.Design/methodology/approachThis paper investigates the response of these energy-conserving cryptocurrencies to the COVID-19 pandemic and the Russia-Ukraine conflict. Their competitiveness is compared with conventional ones by analyzing their efficiency through multifractal detrended fluctuation analysis and automatic variance ratio during the COVID-19 and Russian invasion periods.FindingsThe empirical results show that all investigated energy-conserving cryptocurrencies negatively responded to the pandemic and positively reacted to the Russian invasion. On the other hand, all conventional cryptocurrencies reacted negatively to the COVID-19 pandemic and the amid-Russian attack. Besides, Bitcoin and SolarCoin were the least inefficient before the outbreak of COVID-19. Nevertheless, the Ethereum market became the most efficient after the pandemic spread. Similarly, the efficiency of Ripple was the most significant during the conflict between Russia and Ukraine. The energy crisis caused by Russia benefited the efficiency of the studied energy-conserving cryptocurrencies.Practical implicationsThis research is of interest to investors seeking opportunities in these energy-conserving cryptocurrencies and policymakers working to implement reforms to improve their market efficiency and promote long-term financial market growth.Originality/valueTo the best of the authors' knowledge, the behavior of cryptocurrencies based on renewable and reduced energy during the recent conflict between Russia and Ukraine has not been explored.

5.
IOP Conference Series Earth and Environmental Science ; 1123(1):012043, 2022.
Article in English | ProQuest Central | ID: covidwho-2188020

ABSTRACT

This paper investigates the challenges households face in Greece in the context of the current energy crisis. "Energy transition” policies, climate adaptation and mitigation goals, geopolitical tensions and COVID-19 pandemic have raised new stakes for the energy sector. Although the ‘big picture' of the energy crisis is of high importance, it is significant to reflect on the consequences of the rise of energy prices on households. The aim of this paper is to address the impacts of the energy crisis and the crisis management policies on households in Greece. Our intention is to analyze the problems households face with regards to coping with their energy needs at home, investigate how the rise of energy prices has affected living standards and evaluate existing policies. We claim that focusing on households' experiences and practices could contribute to a deeper understanding of energy poverty;a social problem which is expected to expand in the context of "energy transition.” Understanding energy poverty is also important for developing efficient policies, as well as for supporting bottom-up initiatives. The adopted methodology is based on a survey at national level that was implemented through a structured questionnaire, conducted in May 2022.

6.
Journal of Physics: Conference Series ; 2385(1):012101, 2022.
Article in English | ProQuest Central | ID: covidwho-2187978

ABSTRACT

The electricity sector around the world is considered one of the most important sectors, which has a direct impact on the economic development of a country. Based on the increase in energy consumption, the crisis with the emission of high levels of harmful gases - the greenhouse effect and the expansion at the economic level of countries, electricity, namely the increase of energy capacity will remain key issues for future discussion at the global level. Electricity is the engine of the rapid economic development of a country;necessarily the well-being of citizens to access to energy sources and energy stability is a key requirement of every consumer, producer or economic operator. How much capacity do countries in the world have to respond to the increase in energy consumption in the future and what sources will be oriented so that the consequences are minimal for the environment, is a question that needs continuous detailed study and concrete approaches from relevant institutions and professionals in this field. Security in electricity supply is essential for our society and necessary for the 24/7 principle for the digital economy. The recent difficulties caused by the Covid-19 pandemic remind us of the great importance of electricity in all aspects of our lives, from the availability of medical equipment and IT systems - for work from home as a growing trend of systemizing jobs during 2020. Ensuring a secure and reliable electricity supply is of paramount importance to all countries in the world. Considering the Western Balkans as one of the regions which since the 90s most of it has been an area which has emerged from devastating wars and which have affected every sphere, including the energy sector. So, the development of the energy sector is one of the most critical issues in the Western Balkans region. Based on the considerable potential of electricity production from renewable sources, it is considered that the production of electricity from RES will create a stable and functional system of energy production by contributing to the principle of diversification of electricity production and decentralization of the power system. So, renewable energy is considered a promising method for building sustainable and resilient energy systems that provide affordable energy to boost a region economic development, reducing import dependence. The purpose of this scientific research is to discuss the development and current state of electricity production from renewable sources in the Western Balkans, with special emphasis on the Republic of Kosovo. Considering that all Western Balkan countries have set targets or targets for RES in their energy policies but not always these pre-defined targets are easily achievable in practice due to thevarious challenges facing the energy sector in this region.

7.
Results in Engineering ; : 100888, 2023.
Article in English | ScienceDirect | ID: covidwho-2182876

ABSTRACT

Energy consumption prediction has always remained a concern for researchers because of the rapid growth of the human population and customers joining smart grids network for smart home facilities. Recently, the spread of COVID-19 has dramatically increased energy consumption in the residential sector. Hence, it is essential to produce energy per the residential customers' requirements, improve economic efficiency, and reduce production costs. The previously published papers in the literature have considered the overall energy consumption prediction, making it difficult for production companies to produce energy per customers' future demand. Using the proposed study, production companies can accurately have energy per their customers' needs by forecasting future energy consumption demands. Scientists and researchers are trying to minimize energy consumption by applying different optimization and prediction techniques;hence this study proposed a daily, weekly, and monthly energy consumption prediction model using Temporal Fusion Transformer (TFT). This study relies on a TFT model for energy forecasting, which considers both primary and valuable data sources and batch training techniques. The model's performance has been related to the Long Short-Term Memory (LSTM), LSTM interpretable, and Temporal Convolutional Network (TCN) models. The model's performance has remained better than the other algorithms, with mean squared error (MSE), root mean squared error (RMSE), and mean absolute error (MAE) of 4.09, 2.02, and 1.50. Further, the overall symmetric mean absolute percentage error (sMAPE) of LSTM, LSTM interpretable, TCN, and proposed TFT remained at 29.78%, 31.10%, 36.42%, and 26.46%, respectively. The sMAPE of the TFT has proved that the model has performed better than the other deep learning models.

8.
Progress in Additive Manufacturing ; 2022.
Article in English | Web of Science | ID: covidwho-2175384

ABSTRACT

The exponential rise of healthcare problems like human aging and road traffic accidents have developed an intrinsic challenge to biomedical sectors concerning the arrangement of patient-specific biomedical products. The additively manufactured implants and scaffolds have captured global attention over the last two decades concerning their printing quality and ease of manufacturing. However, the inherent challenges associated with additive manufacturing (AM) technologies, namely process selection, level of complexity, printing speed, resolution, biomaterial choice, and consumed energy, still pose several limitations on their use. Recently, the whole world has faced severe supply chain disruptions of personal protective equipment and basic medical facilities due to a respiratory disease known as the coronavirus (COVID-19). In this regard, local and global AM manufacturers have printed biomedical products to level the supply-demand equation. The potential of AM technologies for biomedical applications before, during, and post-COVID-19 pandemic alongwith its relation to the industry 4.0 (I4.0) concept is discussed herein. Moreover, additive manufacturing technologies are studied in this work concerning their working principle, classification, materials, processing variables, output responses, merits, challenges, and biomedical applications. Different factors affecting the sustainable performance in AM for biomedical applications are discussed with more focus on the comparative examination of consumed energy to determine which process is more sustainable. The recent advancements in the field like 4D printing and 5D printing are useful for the successful implementation of I4.0 to combat any future pandemic scenario. The potential of hybrid printing, multi-materials printing, and printing with smart materials, has been identified as hot research areas to produce scaffolds and implants in regenerative medicine, tissue engineering, and orthopedic implants.

9.
Management, Enterprise and Benchmarking in the 21st Century ; : 123-132, 2022.
Article in English | ProQuest Central | ID: covidwho-2167664

ABSTRACT

Most people still believe that pilotless vehicles flying over our heads and carrying goods is just a fantasy straight out of a science fiction movie. But the world's largest e-commerce companies are in strong competition to control the drone delivery market. As the need for commercial deliveries in the big cities grows, businesses are confronted with a fundamental constraint in surface road capacity. Drone delivery tries to circumvent this limitation by taking advantage of the vertical dimension above city streets. This research investigates the vehicle design components of the delivery drone problem, such as flying efficiency, energy consumption, loudness, safety issues, which are critical to delivery drone feasibility. The qualitative research conducted found that companies are facing challenges like finding size and cargo balance, they are confronting with the problem of writing complex software, the need to optimize for battery consumption or even project costs rise high.

10.
Sustain Cities Soc ; 69: 102823, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-2183148

ABSTRACT

COVID-19 has spread quickly to several countries following the initial outbreak of the disease. As a consequence, several measures have been taken to mitigate the virus spread worldwide. In the city of Florianópolis, in southern Brazil, a strict lockdown was implemented on 16 March 2020. Although commercial activities were allowed to resume 21 April, a complete lockdown of municipal public buildings (e.g., administrative buildings and schools) lasted up to 5 August 2020. Reports in the literature emphasize the influence of occupant presence and actions on energy use in buildings. Therefore, the objective of this study was to assess the impact of the COVID-19 lockdown on the electric energy use of municipal buildings in Florianópolis. A large database with monthly electric energy use data was provided by the City Hall and analyzed. Firstly, the consumer units were grouped into three categories: systems, services and buildings. This revealed that buildings were directly affected by the lockdown measures, but systems and services were not. Therefore, an in-depth evaluation of health centers, administrative buildings, elementary schools and nursery schools was conducted and mean electric energy reductions of 11.1 %, 38.6 %, 50.3 %, and 50.4 %, respectively, were observed. Although it may initially seem unexpected, municipal health centers had a small electric energy use reduction, because they were not directly responsible for COVID-19 treatment, as patients were forwarded to specific facilities. Walkthroughs and energy audits were performed in an administrative building, an elementary school, and a nursery school, to gain a deeper understanding of the consumption trends. It was observed that municipal buildings present a basal energy use intensity even when the buildings are unoccupied. Energy audits verified that stand-by loads and vital loads, such as lighting for safety and computer servers, play a key role in this share of energy use.

11.
Atmosphere ; 13(12):1984, 2022.
Article in English | Academic Search Complete | ID: covidwho-2199713

ABSTRACT

Vehicle mileage is one of the key parameters for accurately evaluating vehicle emissions and energy consumption. With the support of the national annual vehicle emission inspection networked platform in China, this study used big data methods to analyze the activity level characteristics of the light-duty passenger vehicle fleet with the highest ownership proportion. We found that the annual mileage of vehicles does not decay significantly with the increase in vehicle age, and the mileage of vehicles is relatively low in the first few years due to the run-in period, among other reasons. This study indicated that the average mileage of the private passenger car fleet is 10,300 km/yr and that of the taxi fleet was 80,000 km/yr in China in 2019, and the annual mileage dropped by 22% in 2020 due to the pandemic. Based on the vehicle mileage characteristics, the emission inventory of major pollutants from light-duty passenger vehicles in China for 2010–2020 was able to be updated, which will provide important data support for more accurate environmental and climate benefit assessments in the future. [ FROM AUTHOR]

12.
Resources Policy ; 80:103272, 2023.
Article in English | ScienceDirect | ID: covidwho-2165805

ABSTRACT

The main purpose of this research is to investigate the effects of issued green bonds and energy price volatility on the consumption of three types of green energy (wind, solar, and hydro) in Japan during 1990–2020. For this purpose, an autoregressive distributed lag (ARDL) estimation method was used. The main findings revealed the long-term positive impacts of issued green bonds and energy prices and the negative impact of geopolitical risk on the wind energy consumption. In contrast, geopolitical risk and energy prices have no significant short-term impacts on solar energy consumption in Japan. Solar energy and hydro energy experienced the most considerable impact from issuance of green bonds in Japan. Moreover, a unidirectional causal relationship runs from green bonds and geopolitical risk to wind, solar, and hydro-energy consumption. At the same time, a bidirectional linkage exists between energy prices and green energy (solar, wind, and hydro) consumption in Japan. As practical policies, Japan should try to develop green bond market and promote digital green financing tools that are more resilient and adaptable to the post–COVID-19 era.

13.
Energy and Environment ; 2022.
Article in English | Scopus | ID: covidwho-2162115

ABSTRACT

Investigating the current and future dynamics of energy consumption in modern economies such as the UK is crucial. This paper predicts the UK's energy consumption using data spanning January 1995 to March 2022 by comparing and evaluating the forecast performance of machine learning, dynamic regression, time series and combination modelling techniques. The analysis reveals that the seasonal ARIMA and TBATS hybrid models yield the lowest forecast errors in predicting the UK's electricity and gas consumption. Although the combination forecasts performed poorly relative to other models, machine learning techniques such as neural network and support vector regression produced better results compared to the dynamic regression models, whereas the seasonal hybrid model performed better than the machine learning and time series models. The results indicate that the UK's electricity consumption would either stabilise or decline over the forecast horizon, suggesting that it will take some years for electricity consumption to attain pre-2019 levels. For gas consumption, the results indicate that consumption would either maintain current levels or increase over the forecast period. We also show that combination forecasts do not often generate the best predictions, and therefore, choice of methodology matters in energy consumption forecasting. Overall, changing seasonal patterns, energy efficiency improvements, shift to renewable sources and uncertainties due to the COVID-19 pandemic, Brexit, and the Russia–Ukraine crisis appear to be significant drivers of energy consumption in the UK in recent times. These findings are expected to help in designing more effective energy policies as well as guide investor decisions in the energy sector. © The Author(s) 2022.

14.
13th International Conference on Information and Communication Technology Convergence, ICTC 2022 ; 2022-October:2326-2329, 2022.
Article in English | Scopus | ID: covidwho-2161409

ABSTRACT

Energy consumption in the home increases recently due to the extremely hot or cold weather. Because of COVID 19, many people stay in the home and energy consumption in the home is increasing very much. Moreover, many homes are using new electric home appliances such as dishwasher or washer dryer which consumes much electric energy for a long duration. To reduce electric energy consumption and use energy more efficiently, the usage pattern of the home appliance should be analyzed. In the paper, we propose a pattern analysis method of the home appliance using Boosting technique. Boosting method is a sort of ensemble machine learning algorithm and is based on the decision tree. The correlation between home appliance usage can be analyzed with the result of feature importance in boosting algorithm. To verify the method, we analyzed the electric usage record in the UK with boosting algorithm. © 2022 IEEE.

15.
IOP Conference Series. Earth and Environmental Science ; 1107(1):012092, 2022.
Article in English | ProQuest Central | ID: covidwho-2160862

ABSTRACT

The general objective of the research were to analyse the acceleration of economic recovery and food security of smalllholder farmer househols post the 2018 earthquake and COVID-19 pandemic era through empowering farmer groups of dry land horticulture agribusiness based. The specific objective was determining and analysing the effect of the Pentha-helix approach, sinergy among Higher Education Institution, Local Government, Agricultural Extension officer, Bank and private enterprise in empowering farmers. It's mission were Better Farming, Better Business and Better Living. It was the longitudinal action research by implementing Participatory Action Research. The data was recoded from farmers target groups and 60 smallholder farmers in three villages nearby the pilot project village. The cross classification between food expenditure and sufficiency of energy consumption was used to measure the degree of food security of household. It's concluded that developing agribusiness of upland horticulture has high potential for reinforcement of economic recovery of smalholder farmer's household post the 2018 earthquakes and during pandemic COVID-19 era. Implementing Triple Helix and Pentahelix approach have a possitive impact for strenghtening and recovering economy of smalholders farmers households. They were in enough food category which depicted by 85.50% degree of energy consumption. Food scurity based on distribution of household food need was in the category of low expenditure of food (less than 60%). Food scurity of household based on cross combination between the dergree of energy consumption and the proportion of food expenditure were 61% of them were resistance to food scurity, 30.85% of household were vulnerable of food scurity, and 6.20% of households were troubled of food scurity and 61.25% of them were lack of food. They realize that North Lombok region is a tourism destination, so that they have high instrinsik motivation for growing vegetable crops and seasonal fruits. Therefore, supplying high economic value of vegetables and fruits, quality insurance and friendly environment of vegetables and fruits are needed to be sustained through implementing the penta helix approch.

16.
Energy and Buildings ; 279:112723, 2023.
Article in English | ScienceDirect | ID: covidwho-2158770

ABSTRACT

Since the COVID-19 outbreak, the restrictive policies enacted by countries in response to the epidemic have led to changes in the movement of people in public places, which has had a direct impact on the use and energy consumption of various public buildings. This study was based on electricity consumption data for 25 on-campus public buildings at 1-hour intervals between January 2020 and June 2022 at Tewnte University in the Netherlands, and after the data were climate-corrected by multiple regression analysis, the changes in EU and EUI for various types of buildings were compared for different restriction periods using ANOVA, LSD and t-tests. And additionally, further analyzed the changes and reasons for the electricity consumption of various public buildings on campus and customers' electricity consumption behavior in a period of time after the lifting of the epidemic restriction policy. The results of ANOVA analysis show that the restriction policy has a significant effect on teaching, sports, and cultural buildings, and the electricity intensity of the three types of buildings is reduced by 0.28, 0.09, and 0.07 kwh/m2/day respectively under the strict restriction policy;The t-test results show that during the restriction period, all building types, except for living and academic buildings, show a significant decreasing trend, with the teaching buildings having the greatest energy saving potential, with an average daily EU reduction of 1088kwh/day and an EUI reduction of 0.075kwh/ m2/day. The above findings provide a case study of a complete cycle of energy consumption changes in university buildings under similar epidemic restriction policies before and after the epidemic restriction, and inform the electricity allocation policies of university and government energy management authorities.

17.
Atmospheric Pollution Research ; : 101637, 2022.
Article in English | ScienceDirect | ID: covidwho-2158445

ABSTRACT

Carbon neutrality, sustainable development and reducing our impact on the environment is the top priority in future measures. The COVID-19 pandemic brought challenges to every sector at a global scale but can provide valuable insight to reach these goals. The main objective of this work is to provide an integrated analysis of the impact of the COVID-19 pandemic, focused on energy and its related aspects, i.e., environment and costs. Mainland Portugal was used as a case study and two years were analysed, one pre pandemic (2019) and another post pandemic (2020). In 2020, the majority of sectors - Transport, Services, Industry and Agriculture & Fisheries – show a reduction of energy consumption, atmospheric emissions, carbon footprint and related monetary and social costs. In contrast, the Domestic sector presents an overall increase, with maximums of 25.4% in electricity consumption (during Spring), 0.72% in the PM10 (particulate matter) and NOx (nitrogen dioxides) emissions (in Summer), and 2.9% in carbon footprint (in Spring). The integrated analysis proposed in this work was crucial to identify the paths to a post pandemic world focused on the different aspects of sustainability – new concepts of mobility and workplace, as well as increased investment in energy performance and renewable energy sources. This study showed that changing our energy consumption patterns could significantly affect future greenhouse gas emissions, and contribute to the sustainable growth of the economy, while maintaining good progress towards climate-neutral goals.

18.
13th Symposium on Lift and Escalator Technologies, 2022 ; 13, 2022.
Article in English | Scopus | ID: covidwho-2156630

ABSTRACT

This paper investigates and proposes applications for emerging, off-the-shelf technologies for vertical transportation (VT) equipment, with a view to tackling some of the changes in social, economic, and environmental requirements of key stakeholders for buildings. Covid-19 has presented opportunities for IoT technologies to be used within VT systems, to measure air quality and maintain the peace of mind of tenants returning to the office. Sensors have been used to measure a range of in-car, air quality metrics, the analysis of which will be used to recognise how devices can provide stakeholders with accessible, transparent information of the environment in their lifts. With a drive for energy efficiency, and clients striving to meet their net-zero targets, IoT devices can also be used to monitor energy usage of VT equipment and make strategic decisions to save energy and reduce carbon emissions. This paper also looks to understand if, and how we can measure power used by VT systems with these devices. This, coupled with understanding the changing habits of the average office worker, can be used to think out of the box regarding efficient operation of buildings. The author's previous research investigated the use of IoT technology to monitor the condition of lifts. Analysis of breakdown data and interviews with key stakeholders were used to demonstrate how this technology could be used for earlier fault diagnosis. Since the original study, the industry has moved forwards with off-the-shelf and third party IoT systems being trialled by clients and independent suppliers, to support maintenance and repair strategies. Previously, this was only possible with major lift maintenance companies. © 2022, Lift and Escalator Symposium Educational Trust. All rights reserved.

19.
2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2152542

ABSTRACT

After Covid-19 Pandemic, with an instable European geo-political context and a constant pressure to decrease the CO2 emissions, EU needs to implement explicite actions to limit its environmental impact. EU decarbonation is an ambitious proposal to make the bloc climate-neutral by 2050. This study aims to determine how can be improved the energy generation from RES considering important macroeconomic indicators. In the same time, the research shows the strong correlation between investments in research and development and decreasing of carbon emissions. One of the major conclusions of the research is that the best solution in increasing the production of energy that comes from RES, is the investment in R&D, especially in businesses and higher education sectors. © 2022 IEEE.

20.
19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022 ; 524 LNNS:415-420, 2023.
Article in English | Scopus | ID: covidwho-2128459

ABSTRACT

At present, the rational use of energy and energy efficiency within the framework of an adequate energy management system, represent a step towards sustainable energy planning, understood as that which makes good use of natural resources. Cares for the environment and incorporates low-carbon energy sources [1]. Knowing that per capita consumption is disaggregated by sector [2], added to the impact produced by COVID-19 in these times of pandemic [3], it seeks to bring, through an intelligent web platform, the possibility that anyone can carry out a energy audit, knowing their consumption and helping to identify behaviors [4, 5], which can improve use in favor of the consumer. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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