scholarly journals A shape-changing cylindrical chart that displays energy availability forecasts

2021 ◽  
Vol Volume 9, Number 1, Special... (Special Issue...) ◽  
Author(s):  
Maxime Daniel ◽  
Guillaume Rivière ◽  
Nadine Couture
Keyword(s):  
Renewable Energy ◽  
Nous Avons ◽  
Energy Demand ◽  
Peripheral Vision ◽  
Energy Availability ◽  
Success Rates ◽  
Renewable Energy Consumption ◽  
Lieu De Travail ◽  
Consumption Rates ◽  
Motion Speed

Optimizing microgrids' renewable-energy-consumption rates can be done by energy demand-side management. Shifting consumption at better moments is possible thanks to storage capacities. To explore this context, we consider a new practice aiming at shifting laptops' consumption on workplaces thanks to their batteries. This practice requires providing usage instructions and forecasts on renewable energy availability. In order to do this, we evaluated the usability of a shape-changing cylindrical histogram, during a two-day public event, by asking 90 visitors. We also tested three kinds of motion speed in peripheral vision in order to notify neither disturbing nor irritating, by requiring 30 participants in lab conditions. Our results show success rates over 90% for range and compare tasks, which are necessary to retrieve renewable energy production peaks. Our results show that an exponential speed is the best to design perceptible movements, whereas being as calm as a constant speed. Un moyen d'optimiser le taux d'énergie renouvelable consommé sur les micro-réseaux est la gestion de la demande en énergie. Décaler la consommation aux moments propices est possible avec des moyens de stockage. Pour explorer ce contexte, nous envisageons une nouvelle pratique visant à décaler la consommation des ordinateurs portables sur le lieu de travail grâce à leurs batteries. Cette pratique nécessite de fournir des consignes d'usage et des prévisions de disponibilité des énergies renouvelables. Pour ce faire, nous avons évalué l'utilisabilité d'un histogramme cylindrique à changement de forme, lors d'un évènement public sur deux jours, en interrogeant 90 visiteurs. Nous avons aussi testé trois profils de vitesse des mouvements en vision périphérique de sorte à notifier sans perturber ni agacer, en sollicitant 30 participants en condition de laboratoire. Nos résultats montrent des taux de réussite au-delà de 90% pour des tâches de recherche d'intervalle et de comparaison, nécessaires pour retrouver les pics de production d'énergie renouvelable. Nos résultats montrent qu'une vitesse exponentielle est la plus efficace pour rendre perceptible le mouvement tout en étant aussi peu perturbante qu'une vitesse constante.

Does Technological Innovation Advance Environmental Sustainability in ASEAN Countries?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Tabish Nawab ◽  
Muhammad Azhar Bhatti ◽  
Muhammad Atif Nawaz
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Environmental Sustainability ◽  
Energy Demand ◽  
Carbon Emission ◽  
Technology Innovation ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Long Run ◽  
Environment Degradation

Environment degradation is a very important issue in developing nations and a lot of research had done to examine the factors of environmental degradation but these studies were missed some important factors which are covered by this study. By examining the effect of economic growth and energy in the presence of renewable energy consumption and technology innovation on environment degradation for ASEAN nations. Panel ARDL (which is PMG and MG) is used to estimate the model, and the advantage of this model is it gives both the long and short-run estimates of the model which helps to understand the situation in both short as well as long run. The results confirm that economic growth, Population, trade, and renewable energy increase the carbon emission level in ASEAN nations. While technology innovation decreased carbon emission levels which means technology innovation helps to keep the environment healthy and clean. Hence, economic growth helps the nations to improve their energy mode from non-renewable to renewable energy, which meets the energy demand by keeping the environment clean.

Renewable and non-renewable energy consumption and economic growth in the US: A Markov-Switching VAR analysis

2020 ◽  
pp. 0958305X2094403
Author(s):  
Emrah Ismail Cevik ◽  
Durmuş Çağrı Yıldırım ◽  
Sel Dibooglu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
The United States ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Long Run ◽  
The Us

We examine the relationship between renewable and non-renewable energy consumption and economic growth in the United States. While the regime-dependent Granger causality test results for the non-renewable energy consumption and economic growth suggest bi-directional causality in both regimes, we cannot validate any causality between renewable energy consumption and economic growth. The US meets its energy demand from non-renewable sources; as such, renewable energy consumption does not seem to affect economic growth. Given the efficiency and productivity of renewable energy investments, we conclude that it is worthwhile to consider renewable energy inputs to replace fossil fuels given potential benefits in terms of global warming and climate change concerns. In this regard, increasing the R&D investments in the renewable energy sectors, increases in productivity and profitability of renewable energy investments are likely to accrue benefits in the long run.

Renewable Energy Consumption and its Main Drivers in Latin American and Caribbean Countries: A Robust Analysis Between Static and Dynamic Panel Data Models

2021 ◽  
Vol 9 (1) ◽  
pp. 37-61
Author(s):  
S. Menéndez-Carbo
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Latin American ◽  
Energy Demand ◽  
Clean Energy ◽  
Dynamic Panel Data ◽  
Green Energy ◽  
Renewable Energy Consumption ◽  
Per Capita ◽  
Latin American And Caribbean

This study examines the potential drivers of renewable energy consumption for 22 Latin American and Caribbean countries during 2005–2014. I use the sys-GMM method to deal with the presence of endogeneity, countryspecific components and serial correlation within observations. Results confirm the dynamic behaviour of green energy consumption. Moreover, GDP per capita and CO2 emissions per capita are the determinants of this clean energy source. The positive effect of per capita GDP implies that a non-depleting alternative source has been used to satisfy an increasing energy demand, which was experienced due to the acceleration of economic growth in the region. On the other hand, the negative effect of per capita CO2 emissions reflects the weight that fossil fuels have in the energy mix. Because of some of the analysed countries’ oil-producer nature, oil prices rise is not enough for a switch response.

Energy Concepts for Manufacturing Companies

2014 ◽  
Vol 655 ◽  
pp. 27-32 ◽  
Author(s):  
Eric Unterberger ◽  
Florian Karl ◽  
Gunther Reinhart
Keyword(s):  
Renewable Energy ◽  
Social Responsibility ◽  
Energy Supply ◽  
Energy Demand ◽  
Energy Levels ◽  
Energy Availability ◽  
Flexible Production ◽  
Manufacturing Companies ◽  
The Social ◽  
Energy Turnaround

Industry is one of the major energy consumers in order to fulfill the social responsibility of the energy turnaround, with the result to involve companies to use their own generated renewable energy. This objective poses sever challenges for industry. The occurring volatile energy can only be handled by an energy flexible production, which allows the adaption of different energy levels. These must be defined already in the planning stages, so that the production can react to the varying energy availability. A harmonized energy supply and energy demand requires a method to plan both systems.

scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

scholarly journals Do Public–Private Partnership Investment in Energy and Technological Innovation Matter for Environmental Sustainability in the East Asia and Pacific Region? An Application of a Frequency Domain Causality Test

2021 ◽  
Vol 13 (6) ◽  
pp. 3039
Author(s):  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Rui Alexandre Castanho ◽  
Dervis Kirikkaleli
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Frequency Domain ◽  
Co2 Emissions ◽  
Technological Innovation ◽  
Environmental Sustainability ◽  
Public Private Partnership ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Private Partnership

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO2 emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO2 emissions, while public–private partnership investment in energy and economic growth increase CO2 emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO2 emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.

scholarly journals A Sizing Method for PV–Battery–Generator Systems for Off-Grid Applications Based on the LCOE

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1988
Author(s):  
Ioannis E. Kosmadakis ◽  
Costas Elmasides
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Temporal Distribution ◽  
Electrical Energy ◽  
Optimal Number ◽  
Diesel Generator ◽  
Levelized Cost Of Electricity ◽  
Sufficient Power ◽  
Battery Energy

Electricity supply in nonelectrified areas can be covered by distributed renewable energy systems. The main disadvantage of these systems is the intermittent and often unpredictable nature of renewable energy sources. Moreover, the temporal distribution of renewable energy may not match that of energy demand. Systems that combine photovoltaic modules with electrical energy storage (EES) can eliminate the above disadvantages. However, the adoption of such solutions is often financially prohibitive. Therefore, all parameters that lead to a functionally reliable and self-sufficient power generation system should be carefully considered during the design phase of such systems. This study proposes a sizing method for off-grid electrification systems consisting of photovoltaics (PV), batteries, and a diesel generator set. The method is based on the optimal number of PV panels and battery energy capacity whilst minimizing the levelized cost of electricity (LCOE) for a period of 25 years. Validations against a synthesized load profile produced grid-independent systems backed by different accumulator technologies, with LCOEs ranging from 0.34 EUR/kWh to 0.46 EUR/kWh. The applied algorithm emphasizes a parameter of useful energy as a key output parameter for which the solar harvest is maximized in parallel with the minimization of the LCOE.

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