Matching of renewable source of energy generation graphs and electrical load in local energy system

Author(s):  
Petro Lezhniuk ◽  
Vyacheslav Komar ◽  
Dmytro Sobchuk ◽  
Sergiy Kravchuk ◽  
Piotr Kacejko ◽  
...  
Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 461
Author(s):  
Isabel Azevedo ◽  
Vítor Leal

This paper proposes the use of decomposition analysis to assess the effect of local energy-related actions towards climate change mitigation, and thus improve policy evaluation and planning at the local level. The assessment of the impact of local actions has been a challenge, even from a strictly technical perspective. This happens because the total change observed is the result of multiple factors influencing local energy-related greenhouse gas (GHG) emissions, many of them not even influenced by local authorities. A methodology was developed, based on a recently developed decomposition model, that disaggregates the total observed changes in the local energy system into multiple causes/effects (including local socio-economic evolution, technology evolution, higher-level governance frame and local actions). The proposed methodology, including the quantification of the specific effect associated with local actions, is demonstrated with the case study of the municipality of Malmö (Sweden) in the timeframe between 1990 and 2015.


2021 ◽  
Author(s):  
Samuel Robinson ◽  
Alona Armstrong

<p>Energy systems around the world are rapidly transitioning towards decentralised and digitalised systems as countries aim to decarbonise their economies. However, broader environmental effects of the upscaling of these smart local energy systems (SLES) beyond reducing carbon emissions remain unclear. Land-use change associated with increased deployment of renewables, new infrastructures required for energy distribution and storage, and resource extraction for emerging energy technologies may have significant environmental impacts, including consequences for ecosystems within and beyond energy system project localities. This has major implications for biodiversity, natural capital stocks and provision of ecosystem services, the importance of which are increasingly recognised in development policy at local to international scales. This study assessed current understanding of the broader environmental impacts and potential co-benefits of SLES through a global Rapid Evidence Assessment of peer-reviewed academic literature, with a critical evaluation and synthesis of existing knowledge of effects of SLES on biodiversity, natural capital and ecosystem services. There was a striking overall lack of evidence of the environmental impacts of SLES. The vast majority of studies identified considered only energy technology CO<sub>2</sub> emissions through simulation modelling; almost no studies made explicit reference to effects on ecosystems. This highlights an urgent need to improve whole system understanding of environmental impacts of SLES, crucial to avoid unintended ecosystem degradation as a result of climate change mitigation. This will also help to identify potential techno-ecological synergies and opportunities for improvement of degraded ecosystems alongside reaching decarbonisation goals.</p>


2022 ◽  
Vol 42 ◽  
pp. 99-111
Author(s):  
Jussi Valta ◽  
Saku J. Mäkinen ◽  
Johanna Kirjavainen
Keyword(s):  

2020 ◽  
Vol 144 ◽  
pp. 134-141
Author(s):  
Konstantin K. Il'kovskii ◽  
◽  
Fedor Yu. Lukovtsev ◽  
Guzel' R. Akhmetshina ◽  
◽  
...  

The article dwells on technological and environmental effects of implementing a comprehensive program for optimizing local energy, reducing CO2 emissions from energy generation at diesel power plants. The possibility of using “green” finance as an investment tool is also addressed.


Author(s):  
Jekaterina Porubova ◽  
Gatis Bazbauers

Analysis of Long-Term Plan for Energy Supply System for Latvia that is 100% Based on the Use of Local Energy Resources The prices of fossil energy resources are expected to rise substantially in the future, therefore fossil energy resources might not be a feasible energy source for Latvia in the long term. The establishment of a fully self-sufficient energy supply system will require a significant transformation of the existing energy supply and transport infrastructure. Early planning of such a system makes it possible to shape development of the existing energy system in order to achieve that goal of a fully self-sufficient energy supply system. The paper shows a potential solution to establish an energy and transport system solely based on the domestic primary resources by the year 2050.


2020 ◽  
Vol 275 ◽  
pp. 115397
Author(s):  
Thomas Morstyn ◽  
Katherine A. Collett ◽  
Avinash Vijay ◽  
Matthew Deakin ◽  
Scot Wheeler ◽  
...  

2020 ◽  
Vol 32 ◽  
pp. 100570
Author(s):  
Benyoh Emmanuel Kigha Nsafon ◽  
Abdulhameed Babatunde Owolabi ◽  
Hemen Mark Butu ◽  
Jong Wook Roh ◽  
Dongjun Suh ◽  
...  

2013 ◽  
Vol 869-870 ◽  
pp. 581-592
Author(s):  
Mauro Arnesano ◽  
Antonio Paolo Carlucci ◽  
Giovanni D'Oria ◽  
Alessio Guadalupi ◽  
Domenico Laforgia

The energy planning based on Mean - Variance theory, guides the investors in investment decisions, trying to maximize the return and minimize the risk of investment. However, this theory is based on strong hypotheses and, in addition, input data are often affected by estimation errors. Moreover, this theory determines poor diversification increasing return and risk of the portfolio, and strong variability of the outputs when inputs are varied.In the first part of the paper, the Mean - Variance theory was applied to the energy generation in Italy; in particular, the analysis was on the actual energy mix, but also assuming the use of nuclear technology and taking into account verisimilar improvement, of technologies in the future.On the other hand, in the second part of the paper, a methodology has been applied in order to limit the problems of Mean-Variance theory applied to the energy mix settlement. In particular, the input variables have been calculated using Monte Carlo simulation, in order to reduce the estimation error, and the Resampled EfficiencyTMtechnique has been applied in order to calculate the resulting new “average” efficient frontier. This methodology has been applied either not limiting or limiting the minimum and maximum percentage for every energy generation technology, in order to simulate constraints due, for example, to the technological characteristics of the plant, the availability of the sources and eventually to norms, to the territorial characteristics and to the socio-political choices. The application of Mean - Variance theory allowed to obtain energy portfolio, alternative to the actual, characterized by higher values of expected returns an lower values of risk.It was also shown that the application of the Resampled EfficiencyTMtechnique with data originated with the Monte Carlo simulation effectively tackles the problems of Mean - Variance theory; in this way, the decision maker is helped in making decisions in the energy system policy and development.Thanks to this approach, applied in particular to the Italian energy contest, it was also possible to evaluate the effectiveness of the introduced modifications to the Italian actual energy mix to achieve the 2020 European Energy Directive targets in particular concerning the reduction of CO2levels.


2018 ◽  
Vol 4 (4) ◽  
pp. 479-486
Author(s):  
Hantao Wang ◽  
◽  
Chenghong Gu ◽  
Xin Zhang ◽  
Furong Li ◽  
...  

2019 ◽  
Vol 113 ◽  
pp. 03022 ◽  
Author(s):  
Marek Jaszczur ◽  
Qusay Hassan ◽  
Patryk Palej

In this work, we focus on utilization of hybrid renewable energy system for a residential load based in two different optimisation criteria. The presented system utilises photovoltaic modules wind turbines and batteries as energy storage. The analyses were carried out based on experimental measurements, for the electrical load, local solar radiation, wind speed and other environmental parameters. The optimisation process has been performed based on two aspects economic and ecological. The novelty of this work to find the relationship between two optimisation objectives.


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